Department of COMMERCE NCR

Syllabus for
Master of Science (Finance and Analytics)
Academic Year  (2021)

 
1 Semester - 2021 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MFA121N MARKETING MANAGEMENT Ability Enhancement Compulsory Course 4 2 100
MFA122N HUMAN RESOURCE MANAGEMENT Ability Enhancement Compulsory Course 4 2 100
MFA123N OPERATIONS MANAGEMENT Ability Enhancement Compulsory Course 4 2 100
MFA124N SIMULATIONS IN COMPUTATIONAL FINANCE -MANDATORY SIMULATION CERTIFICATION-I Ability Enhancement Compulsory Course 0 2 50
MFA131N FINANCIAL AND MANAGEMENT ACCOUNTING Core Courses 4 4 100
MFA132N ADVANCED CORPORATE FINANCE Core Courses 4 4 100
MFA133N MATHEMATICS AND STATISTICS Core Courses 4 2 100
MFA134N APPLIED DATA ANALYTICS AND MACHINE LEARNINGS Core Courses 4 4 100
MFA135N FINANCIAL MARKETS AND INSTITUTIONS Core Courses 4 2 100
2 Semester - 2021 - Batch
Course Code
Course
Type
Hours Per
Week
Credits
Marks
MFA221N SIMULATIONS IN COMPUTATIONAL FINANCE- MANDATORY CERTIFICATION-II Ability Enhancement Compulsory Course 0 2 50
MFA231N BIG DATA ANALYTICS Core Courses 4 4 100
MFA232N PREDICTIVE ANALYTICS Core Courses 4 4 100
MFA233N APPLIED EQUITY RESEARCH AND PORTFOLIO MANAGEMENT Core Courses 4 4 100
MFA234N INTERNATIONAL FINANCIAL MANAGEMENT Core Courses 4 4 100
MFA235N FINANCIAL MODELLING AND BUSINESS VALUATION Core Courses 4 4 100
      

    

Department Overview:

Mission Statement:

Introduction to Program:

Program Objective:

Assesment Pattern

Examination And Assesments

MFA121N - MARKETING MANAGEMENT (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Course Description This Course provides the knowledge base for understanding the depth and breadth of the principles and handy techniques of contemporary marketing management. The primary objective is to provide a framework for understand the dimensions of new age marketing. Along with, the students will be getting familiar with the advanced concepts of the various branches of marketing management viz., Brand Management, Advertising Management and service marketing. Basic concepts on digital marketing and marketing analytics will enable the students to get acquainted with emerging trends of the marketing world

Course Objectives The course will familiarize the students with various theories, techniques to scan Marketing Environment and Modern Marketing Mix to develop their conceptual and analytical skills enabling them to manage marketing operations of a business firm.

Learning Outcome

CLO1 Understand key marketing concepts, theories and techniques of marketing L2

CLO2 Apply the marketing concepts in variety of marketing situations. L3

CLO3 Demonstrate the ability to carry out a research project that explores marketing planning and strategies for a specific marketing situation. L4

CLO4 Appraise how marketing decisions need to be continuously adapted to changes in the micro and macro environments that businesses operate in. L5

CLO5 Develop the marketing strategies using the dynamics of competitors role in marketing 

Unit-1
Teaching Hours:6
Marketing Environment and Contemporary Marketing Management
 

Marketing environment-internal 7 external; environments and their influence on marketing strategies; Marketing in 21st Century – Scope of Marketing – Core Marketing Concepts – New Marketing Realities – Michael Porter’s Value Chain – Marketing Plan (Theory & Activity) – Segmentation (Geography, Demography, Psychography and Behavior Based Segmentation) – VALS Segmentation System - Targeting and Positioning – Positioning Statements and Brand Positioning Statements – Modern Marketing Mix – Psychology of Marketing – Branches of Marketing Management.

Unit-2
Teaching Hours:6
Service Marketing
 

Concepts, contribution and reasons for the growth of services sector, difference in goods and service in marketing, characteristics of services, service marketing mix, GAP models of service quality, service encounter. Customer Behaviour in Service Encounters: Customer decision making: The 3-stage model of service consumption, understanding service encounters, defining moments of truth, Customer expectation and perception of services.

Unit-3
Teaching Hours:6
Brand Management
 

Brand – Branding Challenges and Opportunities – Lapferer’s Brand Identity Prism- Strategic Brand Management Process; Brand Equity – Types of Brand Equity (Price Based, Cost Based And Customer Based Brand Equity) - Methods of Calculating Brand Equity – Basic Problems – Sources of Brand Equity – Benetton’s Brand Equity Management; Brand Elements – Criteria for Choosing Brand Elements – Options and Tactics for Brand Elements; Ansoff’s Growth Share Matrix – Brand Extension – Brands Across Geographic Boundaries and Brands Over time

Unit-4
Teaching Hours:6
Advertising Management
 

Setting Advertising Objectives – Advertising Objectives Vs Marketing Objectives – DAGMAR Approach – AIDA Model – Shannon Weaver Model - Advertising Agencies; Setting Media Objectives – Media Objectives Vs Advertising Objectives – Principles of Media Planning – Types of Broadcast Media, Telecast Media, Indoor Media, Outdoor Media and Digital Media; Copywriting – Copy Testing and Diagnosis – Practice of Copywriting. 

Unit-5
Teaching Hours:6
Digital Marketing and Marketing Analytics
 

Introduction of the Digital Marketing, importance, Search Engine Optimization (SEO) Social Media Optimization (SMO) using Facebook, Twitter, Corporate Blogs, LinkedIn, Google plus; Search Engine Marketing- Tools used for Search engine Marketing, Marketing Analytics: Point of Sale Data- Assortment Optimization- Shelf Space Optimization- Market Basket Analysis.

Text Books And Reference Books:

1. Moorthi, Y. L. (2010). Brand Management, 1E. Vikas Publishing House Pvt Ltd.

2. S.A. Chunnawalia & K.C. Sethia (2011) Foundations of Advertising - Theory & Practice, Himalaya Publishing House.

3. Suja, R. N, (2011). Consumer Behavior In Indian Perspective. Mumbai: Himalaya Publishing House

Essential Reading / Recommended Reading

1. Kotler, P. and Keller, K. (2012) Marketing Management. Boston, Mass: Prentice Hall/Pearson.

2. Keller, K. L., Parameswaran, M. G., & Jacob, I. (Latest Edition) Strategic brand management: Building, measuring, and managing brand equity. Pearson Education India.

3. Ruchi, G (Latest Edition) Advertising principles and practice. RamNagar: S. Chand Company Limited.

4. Rackley, J. (2015). Marketing Analytics Roadmap.[Berkeley, Calif.]: Apress. 5. Zeithml,V.A.&Bitner,M.J.(2017).Services Marketing. Tata- McGraw- Hill Edition.

Evaluation Pattern

To be evaluated internally without exams. The assessment pattern may be like this CA1-30% CIA2-30% CIA3-30% Attendance-10%

MFA122N - HUMAN RESOURCE MANAGEMENT (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Course description: This course is designed to highlight the importance of HRM in organizations and familiarize students with the process & mechanism of managing human resources students with the concepts & application of human resource practices followed in organizations

 

Course objectives: The course will create an awareness of the role, functions and practices of human resource department of organizations. This will also abreast students with contemporary issues and practices in HRM. 

Learning Outcome

CLO1 Understand the basic concepts, functions and processes of human resource management L2

CLO2 Aware of the role, functions and functioning of human resource department of the organizations. L2

CLO3 Apply the elements of effective Human Resource management techniques to specific employment situations. L4

CLO4 Evaluate and Design various organizational structure and understand how they are related to organizational success L5

CLO5 Demonstrate analytical, interpersonal, and communication skills in addressing Human Resource problems.

Unit-1
Teaching Hours:4
Introduction
 

Meaning and definition of HRM – Purpose and Role of HRM Personnel Management and HRM - Organisation and Functions of Personnel Management and HRM - HR Structure and Strategic .Human Resource Planning Process. Job Analysis and its process, HR policies, traditional role of HR. 

Unit-2
Teaching Hours:5
Recruitment and Selection
 

Job Analysis, Job Description, Human Resource Planning, Recruitment, Sources of Recruitment, selection Process and Methods of Selection – Interview, placement and Induction separation, Methods of induction. Promotions and Transfers- Retirement and other Separating Process. Legal Issues Related to Recruitment and Selection, Online and Social Media Recruitment Tools

Unit-3
Teaching Hours:5
Training and Performance Appraisal
 

Training needs assessment, methods of training, types of training, development, performance appraisal, Performance Appraisal- Purpose- Factors affecting Performance Appraisal, Methods and Systems of Performance Appraisal. Limitations of PA System and overcoming those limitations. Job Evaluation. Methods of Job Evaluation

Unit-4
Teaching Hours:3
Career Planning and Development
 

Introduction to career planning and development, Career goals, Career and road map, Stages in career planning, Internal and external mobility of employees 

Unit-5
Teaching Hours:4
Motivation and Leadership
 

Theories of motivation-Leadership-theories of Leadership-promotion-transfer Deviant workplace behaviour-Attrition. 

Unit-6
Teaching Hours:5
Industrial Relations
 

Overview, importance and scope of Industrial Relation- Industrial disputes- NegotiationDiscipline-Dispute settlement; Meaning of Industrial Conflicts, Causes and Types of ICStrikes & Lockouts. Settlement of industrial disputes, Grievance Handling and Industrial Discipline. 

Unit-7
Teaching Hours:4
Global and Recent Trends in HR
 

Recent developments in HR-Strategic Human resource Management- Global trend & their influence on Practices. Declining productivity, substantial demographic shifts, changing employee attitudes and expectations, innovation technologies. Recent developments in HRStrategic Human resource Management- Global trend & their influence on Practices. Impact of Government regulations on human resource management into the 21st century

Text Books And Reference Books:

1. Edwin Flippo Personal management, 4th edition, Mei Ya publications,

2. Dr. C.B Gupta Human Resource Management

3. Dr. Ashwataappa: Personnel Management, Himalaya Publications.

4. Reward Management- Remuneration Strategy and Practice, Michael Armstrong & Helen Murlis, Crest Publishing House

5. Essentials of HRM and Industrial Relation- Text and cases. Subba Rao- Himalaya Publications.

Essential Reading / Recommended Reading

1. V.S.P Rao Human Resource Management., Konark Publishers Pvt, New Delhi

2. GrayDessler, Human Resource Management,12th edition2011, Dorling Kinderlsely, New Delhi

3. An Indispensable Guide for Managers and Human Resources Professionals | by Shawn Smith and Rebecca Mazin 

Evaluation Pattern

To be evaluated internally without exams. The assessment pattern may be like this CA1-30% CIA2-30% CIA3-30% Attendance-10%

MFA123N - OPERATIONS MANAGEMENT (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Course Description This course is an introduction to the concepts, principles, problems, and practices of operations management. The course seeks to develop insights into managerial processes for effective operations in both goods-producing and service-rendering organization.

Course Objectives This course introduces major concepts and tools used in the design and use of operations systems in organizations. It introduces the discipline and the role the function plays in a value-creating organization. Emphasis is given both to familiarization of various production processes and service systems, and to quantitative analysis of problems/ issues arising in the management of operations. Successful completion of the course will empower the students to be able to improve just about processes in varied areas of business.

Learning Outcome

CLO1 Understand key concepts and issues of OM in both manufacturing and service organizations L2

CLO2 Analyse business processes in services / manufacturing for improvement L4

CLO3 Identify the operational issues in the value addition processes of a firm L5

CLO4 Apply analytical skills and problem-solving tools to resolve the operational issuesL3 

CLO5 Appreciate the strategic role of OM in creating and enhancing a firm’s competitive advantages L5

Unit-1
Teaching Hours:4
Introduction
 

Plant Location Criteria, Plant Layout Types, Product, Process, Cell Layout, Fixed Station, Merits & Demerits, Modern Practices of Production Management.

Unit-2
Teaching Hours:6
Quality Control
 

Inspection V/S Quality, Seven Stages of Quality, ISO 9000 & ISO 14000, Seven Tools of Quality Circles, Pareto Chart, Cause and Effect Diagram, Histogram, Stratification, Scatter Diagram, Control Charts, Check Sheets, Concept of Total Quality Management, Excellence in all Subsystem Leading to Organizational Excellence, Introduction to SIX SIGMA, QFD and FMEA & POKAYOKE, Vender Development and Vender Quality Rating

Unit-3
Teaching Hours:6
Maintenance Management
 

Different Types of Maintenance, Concept of OEE (Overall Equipment Effectiveness), Concept of “5S” House Keeping 

Unit-4
Teaching Hours:8
Enterprise Resource Planning
 

Material Requirement Planning (MRP), Enterprise Resource Planning (ERP), Production Planning and Control, Master Production Scheduling.

Unit-5
Teaching Hours:6
Inventory Management
 

Inventory Management, RMC Inventory, ABC Analysis, JIT, Lead-time Management, Pareto Principles, WIP: Lean Manufacturing, Line Balancing, SPC, FGS, Push V/S Pull System, Advantages of Pull System, Spares, EOQ & Breakeven Analysis to Reduce Total Inventory Cost. 

Text Books And Reference Books:

David Collier and James Evans. OM, 2nd Edition. Upper Saddle River, NJ: SouthWestern Cengage Learning, 2010/2011. ISBN-13: 978-0538745567

Essential Reading / Recommended Reading

Operations Management: Process and Supply Chains, Eleventh Edition, Lee J. Krajewski, Manoj K. Malhotra, Larry P. Ritzman & Samir K. Srivastava, Pearson 

Jacobs, F.R. & R.B. Chase. (2010). Operations and Supply Chain Management (13th edition). Boston: McGraw-Hill Irwin. 

G. Cachon and C. Terwiesch. Matching Supply with Demand: An Introduction to Operations Management (3rd Ed). McGraw-Hill. 2013 

Evaluation Pattern

To be evaluated internally without exams. The assessment pattern may be like this CA1-30% CIA2-30% CIA3-30% Attendance-10%

MFA124N - SIMULATIONS IN COMPUTATIONAL FINANCE -MANDATORY SIMULATION CERTIFICATION-I (2021 Batch)

Total Teaching Hours for Semester:0
No of Lecture Hours/Week:0
Max Marks:50
Credits:2

Course Objectives/Course Description

 

The course aims to upskill the students by providing Capstone Simulation Programmes (CSP) offered by Equity Lever. A student has to mandtiarly complete minimum 5 assigned simulations.

Learning Outcome

After completing these simulations, students will be able to build the models for effective and strong decision making .

Unit-1
Teaching Hours:0
Simulations
 

As assigned during the class.

Text Books And Reference Books:

https://www.equitylevers.com/assignSkillCertificate

Essential Reading / Recommended Reading

https://www.equitylevers.com/assignSkillCertificate

Evaluation Pattern

To successfully qualify for a particular simulation a student has to score at least 70% marks. Scoring /evaluation rubrics as decided by the department and Equitly lever.
A student will get 3 attempts to successfully qualify a particular simulation(s).

MFA131N - FINANCIAL AND MANAGEMENT ACCOUNTING (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Course Description: This course provides students with an understanding of financial statements and interpretation of the results to assess performance and use the information for decision-making, planning and control. The appreciation of the behaviour of costs and its applications for management decisions and financial control through preparation of budgets will also be discussed. As a perquisite-the student should be having basic knowledge of accounting concepts & conventions and preparation of financial statements.

 

Course Objectives:To equip students with the basic accounting concepts, its application and enabling them to analyse transactions and financial statements in various business concerns. To equip the students with the concepts, methods and techniques of management accounting and enable them to use various techniques of cost ascertainment, budget preparation and variance analysis, while focusing on its need for managerial decision making. 

Learning Outcome

CLO1 Develop in depth knowledge and understanding of financial statements preparation and their interpretation. L2

CLO2 Apply accounting information as an aid in management decision-making process. L3

CLO3 Critically analyse the performance of companies based on their Annual Reports by applying the appropriate tools and techniques. L4

CLO4 Evaluate and choose among alternate proposals using technique of Marginal Costing. L5

CLO5 Creates various types of budgets for planning and control. L6

Unit-1
Teaching Hours:10
- Financial Accounting Concepts, Principles and Mechanics
 

Introduction to Business, Trade, Industry and Commerce. Various types of business organizations; Introduction to Accounting, Branches of Accounting, Objectives-Users, Process of Accounting, Fundamental Concepts of Accounting (GAAP), Accounting Standards, IFRS; Accounting Mechanics, Double Entry System, Accounting Equations, books of Accounts Journal book, Subsidiary Books, Ledger, Preparation of Trail balance.

Unit-2
Teaching Hours:10
Preparation and Presentation of Final Accounts
 

Preparation of Financial Statements of sole proprietorship, partnership firms and Joint Stock Companies, Income Statement and Balance Sheet, Grouping and Marshalling. Legal requirements of Companies Act during preparation and presentation of Financial Statements, Annual reports of Companies, Limitations of Financial Statements- Critical Evaluation of Profitability of Companies, Ethical Conduct in Accounting Profession.

Unit-3
Teaching Hours:4
Inventory Accounting
 

Conceptual framework of Inventory, 1- Perpetual Inventory System, 2- Periodic Inventory System, Methods of Inventory Valuation, 1- First in first out (FIFO) method, 2- Last in First Out (LIFO) Method, 3- Weighted Average Cost Method, 4- Moving Average method, ICAI Guidelines on Inventory Valuation, Inventory valuation and Window Dressing in Financial Statements. 

Unit-4
Teaching Hours:4
Depreciation Accounting
 

Causes for Depreciation, Need for Depreciation, various Methods of Depreciation, ICAI Guidelines on Depreciation, Depreciation Accounting and Window Dressing in Financial Statements

Unit-5
Teaching Hours:12
Management Accounting
 

Introduction, Meaning of Management accounting, The Role of Management Accounting, Management Accounting Framework, Functions of Management Accounting, Tools of Management Accounting, The Balanced Scorecard, Cost Management System, Value Added Concept, Merits of Management Accounting, Demerits of Management Accounting, Distinction between Management Accounting and Financial Accounting. Analyzing financial performance of companies using financial ratios, du-pont analysis, reading reports, comparing balance sheets for decision making. 

Unit-6
Teaching Hours:6
Funds Flow Analysis & Cash Flow Analysis
 

Introduction, Meaning of Funds Flow Statement, Ascertainment of flow of funds, Technique of preparing funds flow statement, Schedule of Changes in Working Capital, Adjusted Profit and Loss account, Funds Flow Statement. Cash Flow Analysis: Introduction, Meaning of Cash Flow Statement, Purpose of Cash Flow Statement, Preparation of Cash Flow Statement, Format of Cash Flow Statement, Cash Flow from Operating Activities, Cash Flow Statement under Direct Method, Different between Cash Flow Analysis and Fund Flow Analysis, Uses of Cash Flow Statement

Unit-7
Teaching Hours:10
Marginal Costing and Break-Even Analysis
 

Introduction, Concept of Marginal Costing, Characteristics of Marginal Costing, Difference between Absorption Costing and Marginal Costing, Cost Volume Profit (CVP) Analysis, Application of Marginal cost in decision making, Limitations of Marginal costing, Relevant Costs and Decision Making: Pricing, Product Profitability

Budgetary Control & Standard Costing: Introduction, Meaning of a Budget, Budgetary control, Steps in budgetary Control, Types of Budgets, Limitation of Budgetary Control. Standard Costing: Meaning and Determination of Standard Costs. Material, Labor, and Overhead and Sales Variances (two way analysis). Responsibility Centers, Divisional Performance, Transfer Pricing

Unit-8
Teaching Hours:4
Recent Development in Accounting
 

Target costing, Activity based Costing, Human Resource Accounting, forensic Accounting, Inflation Accounting, Economic Value Added, life cycle costing, strategic costing, and cost cutting Vs cost savings. 

Text Books And Reference Books:

Reddy T.S & Murthy A, Advanced Accountancy Vol 1 Margham Publications, Chennai.

Shukala & Grewal – Advanced Accounting, S. Chand Publications, Delhi. 

Essential Reading / Recommended Reading

R.L Gupta – Advanced Accounting, Sultan Chand Delhi. 

Jain & Narang – Advanced Accounting, Kalyani Publishing.

Dr.S.N. Maheswari, K. Maheswari , Principles of Management Accounting, Sultan Chand & Sons ,2010 

Khan- M. Y. & Jain (2013); P. K Management Accounting & Financial Analysis; Tata McGraw Hill Publishing Co. Ltd; New Delhi 

Arora- M.N; Cost Accounting, 10th ED; Vikas Publishing House (Pvt) Ltd

Evaluation Pattern

Students are evaluated for each course on the basis of written examination and continuous internal assessments. Each paper carries maximum of 100 marks and is evaluated as follows:

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100%

MFA132N - ADVANCED CORPORATE FINANCE (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Finance being life blood of any business organization plays a very crucial role in profit planning. That is why a finance manager always aims to achieve a right balance between risk and return by using various tools and techniques of financial management. This course deals with deeper insight in to the concept of financial management and equip the students with use of various tools that helps them in development of sharp analytical skills for making optimal decisions under given set of business situations.

 

The course will equip students to understand the fundamental concepts of corporate finance enabling them to apply the financial tools and techniques to maximize value of the firm.

Learning Outcome

On having completed this course student should be able to:

CLO1 Comprehend the fundamental concepts of Financial Management. L2

CLO2 Apply the principles, techniques and models to take the decision as to maximize the value of the firm. L3

CLO3 Analyse the impact of financial decisions on the long term valuation of the firm. L4

CLO4 Appraise the financial information and to select the best alternative decision L5

CLO5 Develop the familiarity with the present corporate environment in which financial decisions are taken. L4

Unit-1
Teaching Hours:2
Introduction
 

Nature and objective of Financial Management-Role of Finance Manager- Interface of Financial Management with Other Functional Areas. Corporate goals and objectives; profit maximization Vs wealth maximization, Issues in financial management, agency relationship, overview on Indian financial system..

Unit-2
Teaching Hours:8
Time Value of Money
 

Introduction to the concept of time value- Nominal Vs Effective rate; process of compounding – Process of discounting- Future Value of a Single Cash Flow – Future Value Multiple Flows - Future Value Annuity – Present Value of a Single Cash Flow – Present Value of uneven Multiple Flows - Present Value Annuity, perpetuity, loan amortization.

Unit-3
Teaching Hours:8
Investment Decisions
 

Nature of Investment decisions-The Process of Capital Budgeting, types of investment projects-expansion projects, replacement projects, diversification projects, modernization projects. Independent and mutually exclusive projects. Techniques of Capital Budgeting: Financial Appraisal of a Project- Appraisal criteria-Discounted and Non-Discounted Methods (Pay Back Period- Average Rate of Return-Net Present Value- Benefit Cost RatioInternal Rate of Return), modern tools for capital budgeting, Profitability Index, SA, DTA, CCV.

Unit-4
Teaching Hours:6
Financing Decisions
 

(Owned and Borrowed Sources) Need for Long–term Finance- Types of Capital: Equity Capital (IPO, Bonus issue, right issue, private placement) and Preference Capital – Debenture Capital – Term Loans-venture capital & private equity and Deferred Credit – Government Subsidies – Sales Tax – Sales Tax Deferments and Exemptions – Leasing and Hire Purchase. Cost of Capital: The meaning of cost of Capital-cost of Different Sources of Finance- Concept and Importance- Cost of Debenture – Term Loans – Equity Capital and Retained Earnings – Calculation of Weighted Average Cost of Capital – Weighted Marginal Cost of Capital Schedule.

Unit-5
Teaching Hours:4
Risk and Return
 

The concepts of risk and return –Measuring the rate of return- risk –Risk and expected Return Concepts – Sources of Risk-Portfolios and risk-the Capital Asset Pricing Model (CAPM), measurement of market risk, determinants of Beta. 

Unit-6
Teaching Hours:8
Capital Structure and Firm Value
 

Meaning of capital structure- Factors affecting the capital structure-Theories of capital structure-Net Income Approach–Net Operating Income Approach–Traditional Approach – Modigliani–Miller Model (MM), Miller Model– Criticisms of MM –Agency Cost. Operating and Financial Leverage: The concept of leverage-Measuring of leverageOperating Leverage, Financial Leverage and Total Leverage, application of leverage in business operations. Designing of Capital Structure: steps in financial planning, over and under capitalization, models for designing optimum capital structure; earning coverage criteria- interest coverage criteria- debt service burden coverage ratio

Unit-7
Teaching Hours:10
Working Capital Management
 

Components of Current Assets and Current Liabilities- Objectives of Working Capital (Conservative vs. Aggressive policies), Static vs. Dynamic View of Working Capital– Factors Affecting the Composition of Working Capital –Independence among Components of Working Capital–Operating Cycle Approach to Working Capital –Criteria for Evaluation of Working Capital Management–Important Working Capital Ratios. Inventory Management: Introduction – Role in Working Capital–Purpose of Inventories– Types and Costs of Inventory–Inventory Management Techniques–Inventory Planning and other Inventory Management Techniques –Pricing of Inventories-Inventory and Finance Manager. Receivables Management: Purpose of Receivables– Cost Of Maintaining Receivables – Credit Policy Variables (Credit Standard, Credit Period, Cash Discount, And Collection Program), Credit Evaluation – The Process of Credit Evaluation –Decision-Tree ApproachMonitoring Receivables. Cash Management: Difference between Profits and Cash–Need for and Objectives of Cash Management –Factors for Efficient Cash Management –Internal Treasury Controls. Financing Current Assets: Behavior of Current Assets and Pattern of Financing–Accruals – Trade Credit–Provisions–Short–Term Bank Finance–Public Deposits, Commercial Paper – Factoring–Regulation of Bank Credit.

Unit-8
Teaching Hours:4
Dividend Decisions
 

Types of dividends, Factor affecting a dividend policy, stable and fluctuating dividend policy. Dividend Models: Traditional Position–Walter Model–Gordon Model – Miller– Modigliani Position and Rational Expectations Model.

Text Books And Reference Books:

I M Pandey – Financial management.

Essential Reading / Recommended Reading

Eugene F Brigham & Louis C. Gapenski, Financial Management: Theory & Practice (The Dryden Press) 

M Y Khan. – Indian Financial System, the McGraw-Hill,

Brealey and Myers, Principles of Corporate Finance (Mc Graw Hill)

James C Van Horne, Financial Management and Policy , 10e (PHI) 

Ross, Westerfield and Jordan, Essentials of Corporate Finance (Mc Graw Hill)

Dr.Prasanna Chandra, Financial Management: Theory and Practice, 4e (TMH)

A Besant C Raj - Corporate Financial Management: An introduction (TMH)

Ravi M. Kishore, Financial Management, 6th Edition (Taxmann’s) 

Evaluation Pattern

Students are evaluated for each course on the basis of written examination and continuous internal assessments. Each paper carries maximum of 100 marks and is evaluated as follows:

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100% 

MFA133N - MATHEMATICS AND STATISTICS (2021 Batch)

Total Teaching Hours for Semester:45
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Course Description:In order to learn data science, a student must reinforce their knowledge of mathematics and statistics. Thus the course provides participants understanding and application of statistical and mathematical tools for handling data for financial decision making.

 

Course Objectives: The course will provide basic knowledge of mathematical concepts and theories which will help students to increase their reasoning, analytical and problemsolving skills and enable them to grasp the fundamentals of Statistics and mathematics for interpreting business data.

Learning Outcome

CLO1 Understand core concepts in mathematics and statistics L2

CLO2 Apply mathematical and statistical concepts and tools while handling data L3

CLO3 Apply concepts while developing algorithms for machine L3

CLO4 Analyze the machine output L4

CLO5 Appraise the model L5 

Unit-1
Teaching Hours:6
Introduction
 

Descriptive statistics data, measures of central tendency, measures of variations, measures of skewness and kurtosis, Moments and their applications in financial statistics

Unit-2
Teaching Hours:6
Probability
 

Probability Theory, Probability Distributions Discrete and Continuous. Binomial, Poisson, Hypergeometric, Geometric, Negative Binomial, Uniform, Exponential and Normal probability distributions.

Unit-3
Teaching Hours:5
Statistical Inference
 

Estimation: Sampling and Sampling Distribution, Standard Error, Law of Large Numbers and Central Limit Theorem, Point Estimation – Properties of a good point estimator, and Interval Estimation

Unit-4
Teaching Hours:10
Hypothesis Testing
 

Null and Alternate Hypotheses; One-tailed and two-tailed Tests; Type I and Type II errors; Power of a Test; p-values, Parametric and Non Parametric Tests for one sample, two samples,and more than two samples and for measures and their differences of central tendency, variation and association, Run Test for testing randomness. Analysis of Variance One-way Analysis of Variance and two-way Analysis of Variance.

Unit-5
Teaching Hours:6
Statistics for Decision Making
 

Decision Theory, Correlation and Regression Analysis: Index Numbers, Time Series Analysis and Forecasting 

Unit-6
Teaching Hours:6
Matrices and Determinants
 

Matrix Algebra- matrices and determinants, Operation on matrices, Properties of Matrix Multiplication, inverse of Matrix, Determinants , properties of determinants, Solving linear equation with matrices, Applications of Matrices and Determinants,

Unit-7
Teaching Hours:6
Differential Calculus
 

Limits, Differentiation, Methods of differentiation, Second order derivative, Maxima and Minima, Application to commerce and Economics, Revenue Function Cost function , profit function, Elasticity of demand, Breakeven point, constrained optimizatio

Text Books And Reference Books:

Sancheti; Kapoor: Business Mathematics, 11 th Edition, Sultan Chand; Sons, New Delhi

Essential Reading / Recommended Reading

Dr. Arte AK; Prabhakar RV, 2011A textbook of Business Mathematics 

Dr. Sancheti; Kapoor: Statistics Theory, Methods and Applications

Zamirudding Khanna: Business Mathematics 

S.P.Gupta: Statistical Methods- Sultan Chand, New Delhi.

ELHANCE: Statistical Methods/Fundamentals of Statistics,5th edition, Kitab Mahal, Wholesale Division, New Delhi

Evaluation Pattern

Students are evaluated for each course on the basis of written examination and continuous internal assessments. Each paper carries maximum of 100 marks and is evaluated as follows:

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100% 

MFA134N - APPLIED DATA ANALYTICS AND MACHINE LEARNINGS (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Course Description This course will help learners to gain the skills and understanding to oversee or implement a project that covers the full data science pipeline, including modelling and evaluation.

Course Objectives This course will give a hands-on experience in one of the recent areas of data science. Students will learn the techniques and tools for data acquisition, transformation and predictive analysis, ensuring they having a solid foundation in working with the entire data pipeline.

Learning Outcome

CLO1 Understand integral machine learning concepts L2

CLO2 Apply the concepts and techniques to develop algorithms L3

CLO3 Evaluate the algorithms L5

CLO4 Analyze and Interpret the outcomes of machine learning L4

CLO5 Construct the models using real time data L5

Unit-1
Teaching Hours:15
Introduction to Data Analysis with Python
 

Foundational concepts of data analysis: Getting started with Python, Explore the first data set, The Jupyter notebook, A first look at NumPy & Pandas, The basics of data visualization, Probability for data science, Linear algebra for data sciences

Unit-2
Teaching Hours:8
Applied Data Analysis-1
 

Working across the entire data analysis pipeline, Getting, cleaning & manipulating the data, In-depth NumPy & Pandas. 

Unit-3
Teaching Hours:7
Applied Data Analysis II
 

Working with textual data, Working with time-series data, Databases in Python, Statistical data analysis 

Unit-4
Teaching Hours:15
Applied Machine Learning I
 

Basics of machine learning with Scikit-learn, Introduction to machine learning, Fitting a first model, Cost functions & outliers, Linear regressions, Gradient descent, Feature engineering, Regularization

Unit-5
Teaching Hours:15
Applied Machine Learning 2
 

Advanced machine learning techniques, K-nearest neighbours, Bias-variance trade-off, Logistic regressions, Decision trees & SVMs, Clustering & dimensionality reduction, Introduction to deep learning, Convolutional neural networks, LSTM, RNN

Text Books And Reference Books:

Introduction to Machine Learning with Python: A Guide for Data Scientists, Book by Andreas C. Müller and Sarah Guido

Machine Learning in Action : Peter Harrington

Essential Reading / Recommended Reading

Introduction to Machine Learning with Python: A Guide for Data Scientists, Book by Andreas C. Müller and Sarah Guido

Machine Learning in Action : Peter Harrington

Evaluation Pattern

Students are evaluated for each course on the basis of written examination and continuous internal assessments. Each paper carries maximum of 100 marks and is evaluated as follows:

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100% 

MFA135N - FINANCIAL MARKETS AND INSTITUTIONS (2021 Batch)

Total Teaching Hours for Semester:30
No of Lecture Hours/Week:4
Max Marks:100
Credits:2

Course Objectives/Course Description

 

Course Description The course will help students understand why financial markets exist, how financial institutions serve them and the services the institutions offer. Focusing on management performance and regulation of financial institutions, the course explores Indian Money Markets, Capital Markets and Financial Service Institutions. 

 

Course Objectives The course will provide an understanding of the functions and operations of the financial markets and institutions with special knowledge on financial marketing practices and skills for financial service sector.

Learning Outcome

CLO1 Understand the role, functions and constituents of financial markets. L2

CLO2 Describe financial instruments, Indian money and Capital Markets. L2

CLO3 Understand the workings of Bill Market and Bill Market Schemes. L2

CLO4 Understand the workings of Certificate of Deposit Market and Clearing Corporation of India. L2

CLO5 Appraise the financial markets and institutions in an international context. L5 

Unit-1
Teaching Hours:6
Introduction
 

Meaning, role, functions and constituents of financial markets – Financial instruments – Indian Money and Capital Markets – Money Market: Meaning, characteristics, objectives, importance, general functions and segments of money market – Characteristics of a developed money market – Money market Vs Capital market – Global money markets

Unit-2
Teaching Hours:6
Indian Money Market
 

Nature of dealings – participants – mode of operation – call money rates – Commercial Paper Market: meaning and features – Satellite Dealers – Commercial Bill Market: Meaning and importance – Developed Bill Market – shortcomings of Indian Bill Market – growth of Indian Bill Market – Bill Market Schemes – Failure of Bill Market Scheme Blues of bill discounting – RBI directives 

Unit-3
Teaching Hours:6
Market for Government Securities
 

Certificate of Deposit Market: Meaning, features – time deposit Vs certificate of deposit – Role of DFHI and banks – Treasury Bills Market: Meaning and features – features of Indian treasury bills – Gilt-edged securities market: meaning and features – REPOS – Repo Accounting – Government bonds – important of gilt-edged market – criticisms, recent developments in the market including collapse of IL&FS, DHFL.

Unit-4
Teaching Hours:6
Indian Capital Market
 

Capital market: meaning – Indian money market – Indian capital market – evaluation and growth – new financial instruments recent initiatives in the Indian capital market – major issues of Indian capital market – Capital market instruments – New Issues Market – meaning and features – NIM Vs secondary market – intermediaries in NIM, the role of SROs, Exchanges, AMCs and issues relating to Financial Inclusion.

Unit-5
Teaching Hours:6
Financial Service Institutions
 

Clearing Corporation of India – Credit Rating and Information Services of India Limited (CRISIL) – Discount and Finance House of India Limited (DFHIL) – Investment Information and Credit Rating Agency of India Limited (ICRA) – Moody’s Investor Service – S & P – Fitch ratings – OTCEI – NSDL – STCI – Financial Institutions: NHB – EXIM Bank – NABARD – Stock Exchange – functions and working

Text Books And Reference Books:

Gurusamy S, Financial Markets and Institutions, Vijay Nicole and Tata McGraw Hill Company

 Bhole L M, Financial Institutions and Markets, Tata McGraw Hill Company

Essential Reading / Recommended Reading

.Varshney P N and Mittal D K, Indian Financial System, Sultan Chand & Sons

Kohmn Meir, Financial Institutions and Markets, Tata McGraw Hill Company

Apte P G, International Financial Management, Tata McGraw Hill Company

Avadhani V A, Capital Market Management, Himalaya Publishing Company

Khan M Y, Indian Financial System, Tata McGraw Hill Company

Evaluation Pattern

Students are evaluated for each course on the basis of written examination and continuous internal assessments. Each paper carries maximum of 100 marks and is evaluated as follows:

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100% 

MFA221N - SIMULATIONS IN COMPUTATIONAL FINANCE- MANDATORY CERTIFICATION-II (2021 Batch)

Total Teaching Hours for Semester:0
No of Lecture Hours/Week:0
Max Marks:50
Credits:2

Course Objectives/Course Description

 

The course aims to upskill the students by providing Capstone Simulation Programmes (CSP) offered by Equity Lever. A student has to mandtiarly complete minimum 5 assigned simulations.

Learning Outcome

 

After completing these simulations, students will be able to build the models for effective and strong decision making .

 

Unit-1
Teaching Hours:0
Simulations
 

As assigned during the class.

Text Books And Reference Books:

https://www.equitylevers.com/assignSkillCertificate

Essential Reading / Recommended Reading

https://www.equitylevers.com/assignSkillCertificate

Evaluation Pattern

 

To successfully qualify for a particular simulation a student has to score at least 70% marks. Scoring /evaluation rubrics as decided by the department and Equitly lever.
A student will get 3 attempts to successfully qualify a particular simulation(s).

 

MFA231N - BIG DATA ANALYTICS (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Course Description The aim of this course is to help students learn, understand, and practice big data analytics and machine learning approaches, which include the study of modern computing big data technologies and scaling up machine learning techniques focusing on industry applications.

Course Objectives The course will provide an overview of Apache Hadoop and provide HDFS Concepts and Interfacing with HDFS, understanding the Big Data Platform and its use through cases, Exposure to Data Analytics with R

Learning Outcome

CLO1 Understand Big data and its business implications L2

CLO2 Apply analytics on structured, unstructured data L3

CLO3 List the components of Hadoop and Hadoop Eco-System and process data on distributed file system L3

CLO4 Analyse Infosphere Big Insights Big Data Recommendations and apply machine learning techniques using R. L4

CLO5 Evaluating applications and exposure to data analytics with R L5

Unit-1
Teaching Hours:15
INTRODUCTION TO BIG DATA AND HADOOP
 

Types of Digital Data, Introduction to Big Data, Big Data Analytics, History of Hadoop, Apache Hadoop, Analysing Data with Unix tools, Analysing Data with Hadoop, Hadoop Streaming, Hadoop Echo System, IBM Big Data Strategy, Introduction to Infosphere BigInsights and Big Sheets. 

Unit-2
Teaching Hours:15
HDFS(Hadoop Distributed File System)
 

The Design of HDFS, HDFS Concepts, Command Line Interface, Hadoop file system interfaces, Data flow, Data Ingest with Flume and Scoop and Hadoop archives, Hadoop I/O: Compression, Serialization, Avro and File-Based Data structures

Unit-3
Teaching Hours:15
Mapping
 

Map Reduce Anatomy of a Map Reduce Job Run, Failures, Job Scheduling, Shuffle and Sort, Task Execution, Map Reduce Types and Formats, Map Reduce Features. Data Analytics with R Machine Learning : Introduction, Supervised Learning, Unsupervised Learning, Collaborative Filtering. Big Data Analytics with BigR. 

Unit-4
Teaching Hours:15
Hadoop Eco System Pig
 

Introduction to PIG, Execution Modes of Pig, Comparison of Pig with Databases, Grunt, Pig Latin, User Defined Functions, Data Processing operators. Hive : Hive Shell, Hive Services, Hive Metastore, Comparison with Traditional Databases, HiveQL, Tables, Querying Data and User Defined Functions. Hbase : HBasics, Concepts, Clients, Example, Hbase Versus RDBMS. Big SQL- Introduction.

Text Books And Reference Books:

Tom White “ Hadoop: The Definitive Guide” Third Edit on, O’reily Media, 2012.

Seema Acharya, Subhasini Chellappan, "Big Data Analytics" Wiley 2015. 

Essential Reading / Recommended Reading

Tom White “ Hadoop: The Definitive Guide” Third Edit on, O’reily Media, 2012.

Seema Acharya, Subhasini Chellappan, "Big Data Analytics" Wiley 2015. 

Evaluation Pattern

Students are evaluated for each course on the basis of written examination and continuous internal assessments. Each paper carries maximum of 100 marks and is evaluated as follows:

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100%

MFA232N - PREDICTIVE ANALYTICS (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Course Description This course will extensively cover how predictive analytics tools can be used to analyse real-life business problems such as prediction, classification and discrete choice problems.

 

Course Objectives The focus of this course will be on case-based practical problem-solving using predictive analytics techniques to interpret model outputs.

Learning Outcome

CLO1 Understand the data and be able to Partition data to provide an assessment basis for predictive models L2

CLO2 Visualize and explore data to better understand relationships among variables L3

CLO3 Organize the predictive modeling task and data flow L3

CLO4 Assess the performance of these models with holdout data and Apply predictive models to generate predictions for new data L4

CLO5 Choose and implement appropriate performance measures for predictive models L5 

Unit-1
Teaching Hours:10
Introduction to Analytics
 

Introduction to Analytics, Analytics in Decision Making Game changers & Innovators, Predictive Analytics, Experts view on Analytics 

Unit-2
Teaching Hours:10
Simple Linear Regression
 

Simple Linear Regression Case-let Overview, Introduction to Regression, Model Development, Model Validation, Demo using Excel & SPSS

Unit-3
Teaching Hours:10
Multiple Linear Regression
 

Multiple Linear Regression, Estimation of Regression Parameters, Model Diagnostics, Dummy, Derived & Interaction Variables, Multi-collinearity, Model Deployment, Demo using SPSS

Unit-4
Teaching Hours:10
Logistic Regression
 

Logistic Regression Discrete choice models, Logistic Regression, MLE Estimation of Parameters , Logistic Model Interpretation, Logistic Model Diagnostics, Logistic Model Deployment, Demo using SPSS.

Unit-5
Teaching Hours:10
Decision Trees and Unstructured data analysis
 

Introduction to Decision Trees and ensemble methods ,Automatic Interaction Detectors (CHAID), Classification and Regression Tree (CART), Analysis of Unstructured data, Naive Bayes algorithm Demo using SPSS, clustering 

Unit-6
Teaching Hours:10
Forecasting
 

Time Series Analysis, Additive & Multiplicative models, Exponential smoothing techniques , Forecasting Accuracy, Auto-regressive and Moving average models, Demo using SPSS.

Text Books And Reference Books:

Knowledge of Advanced Statistical Concepts: Descriptive statistics, Probability Distribution, Hypothesis testing, ANOVA

Software Requisites: SPSS / SAS / STATA / R / Python

Essential Reading / Recommended Reading

Knowledge of Advanced Statistical Concepts: Descriptive statistics, Probability Distribution, Hypothesis testing, ANOVA

Software Requisites: SPSS / SAS / STATA / R / Python

Evaluation Pattern

Students are evaluated for each course on the basis of written examination and continuous internal assessments. Each paper carries maximum of 100 marks and is evaluated as follows:

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100%

MFA233N - APPLIED EQUITY RESEARCH AND PORTFOLIO MANAGEMENT (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Course Description This course attempts to develop a conceptual and analytical understanding of framework of evaluating financial instruments & markets and inculcates investment intelligence in students.

Course Objectives The course develops an investment attitude providing an in-depth knowledge of the theory and practice of alayzing stocks and portfolio management

Learning Outcome

CLO1 Understand the various alternatives available for investment. L2

CLO2 Learn to measure risk and return. L2

CLO3 Develop a conceptual and analytical framework of evaluating a security. L6

CLO4 Gain knowledge of the various strategies followed by investment practitioners. L3

CLO5 Apply different tools of fundamental analysis for analyzing financial statements.

Unit-1
Teaching Hours:8
Introduction: The Investment Background
 

Overview of the Investment Environment and Investment Process; Organization and Functioning of securities markets, orders and trading strategies; securities trading (trading cost, short sales, margin trading); Security market indices; Bond market indices. The investment setting, The Asset Allocation decision, Individual investor life cycle; objectives based investing, Code of Ethics and Standards of Professional Conduct. Mutual fundsstructure, types, risk and return.

Unit-2
Teaching Hours:24
Equity Valuations
 

Economic activity and security markets, Global and domestic market economy- Macro market analysis –; the cyclical indicator approach Understanding the demand and supply shocks- Government policies and the implications, Industry structure and performance, Interconnection between the financial statements, estimating the profitability, past versus future ROE- Du Pont Analysis- Modified Du Pont – Efficiency ratios-Working Capital cycle and the relationship with cash flows-Comparability issues of financial statementsAccounting standards – International Accounting Conventions- Value Investing. Valuation by comparable- Intrinsic Value versus Market price- Dividend discount models, Constant growth and multistage growth -Price Earnings Ratio and other comparative valuation ratios-Free Cash flow valuation approaches- Comparing valuation modelsAnalysis of growth companies; Valuation of alternative Investments. Technical analysis – Advantages of technical analysis; Technical trading rules and indicators. Basic Tenets of Technical Analysis - Dow Theory - Behavior of Stock Prices - Major Trends - Charts and Trend Lines - Resistance and support Lines - Different Patterns, Elliot Wave Theory, Efficient market theory. Efficient Capital Markets – Why should capital markets be efficient? Alterative efficient market Hypotheses; Tests and results of EMH; Implications of efficient capital markets; 

Unit-3
Teaching Hours:10
Bond Valuations
 

The Analysis and Valuation of Bonds – The fundamentals of Bond Valuation; computing bond yields; term structure of interest rates; interest rates risk, duration and convexity.

Unit-4
Teaching Hours:10
Applied Portfolio Management
 

Diversification and Portfolio Return and Risk, Measurement of Co movements in Security Returns, Calculation of Portfolio Risk, Efficient Frontier, Optimal Portfolio. Single Index Model, Capital Asset Pricing Model, The Capital Market Line - Security Market Line, Pricing of Securities with CAPM. FAMA French Model, Limitations for all models. Arbitrage Pricing Theory; Empirical factor models; Equity portfolio management strategies – Passive Vs Active management; An overview of style analysis; asset allocation strategies; Evaluation of Portfolio performance, Composite Portfolio Performance measures; Application of Portfolio performance measures; Evaluation of bond portfolio performance

Unit-5
Teaching Hours:8
Investor Behaviour
 

Standard Finance Versus Behavioral Finance, History of Behavioral Finance, Investor Behavior and asset allocation process, Investor Biases-Overconfidence, Representativeness, Anchoring, Mental Accounting, Loss Aversion, Framing, Availability bias and others. 

Text Books And Reference Books:

Bodie, Kane, Marcus and Mohanty., Investments (10th ed.). Tata McGraw Hill Publications.

Essential Reading / Recommended Reading

Reilly. & Brown. (2012). Analysis of Investments & Management of Portfolios (12th ed.). CENGAGE Learning.

Chandra, Prasanna. (2008). Investment analysis and portfolio management. New Delhi: Tata McGraw – Hill Publications. 

Fischer.,& Jordan., Security analysis and portfolio management. Prentice Hall Publications. 

Bhalla, V. K., Investment management, S. Chand & Co Publications. 

Kevin S.(2008). Security Analysis & Portfolio Management, New Delhi: PHI Learning Pvt Ltd Publications. 

Brealey.,& Myers., Principles of corporate finance (7th ed.). Tata McGraw Hill Publications.

Evaluation Pattern

Students are evaluated for each course on the basis of written examination and continuous internal assessments. Each paper carries maximum of 100 marks and is evaluated as follows:

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100%

MFA234N - INTERNATIONAL FINANCIAL MANAGEMENT (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Course Description The course aims to provide the students with a deep understanding of financial management issues in a multinational enterprise (MNE). It equips the students with analytical tools and techniques for sound financial decision making in a global setting.

Course Objectives The course explores the complexities of corporate financial management in an international setting, where companies are subject to exchange rate risk. Exchange rate theories and their practical implications are analysed, as well as the merit of foreign exchange risk management. The course also aims to provide students with a thorough understanding of international investment and financing decisions. The course emphasises the practical implications of finance theory and its application in international financial management

Learning Outcome

CLO1 Understand the basic concepts of Multinational firms, environment of international financial management and foreign exchange market; L2

CLO2 Understand financial viability of capital expenditure plans and risk in financial decision making; L2

CLO3 Analyse issues related to various finance functions of MNCs; L4

CLO4 Evaluate translation, transaction, and economic exposure to exchange rate changes; L5

CLO5 Create and appraise foreign exchange portfolio L6

Unit-1
Teaching Hours:12
Introduction
 

Globalization and the multinational enterprise (MNE); Environment of International Financial Management; Complexities and issues in financial decision making of MNEs; Decisions in a global setting; Foreign Exchange Market- Spot and Forward market; Participants in foreign exchange market; Arbitrage, hedging and speculation; Covered interest rate arbitrage; Contemporary issues in international financial management.

Unit-2
Teaching Hours:12
Cross-Border Investment Decision
 

Types of and issues in cross border investment decision; Green field investment vs. cross border M&As; Estimation of cash flows from cross border investment projects; Valuation techniques including adjusted present value method; Risks in cross border investment decision-currency risk, political risk, country risk, inflation risk etc; Techniques for incorporating risks in cross border investment decision.

Unit-3
Teaching Hours:12
Working Capital Management in MNEs
 

 

International Cash management, International Inventory management and International receivables management; International capital structure and cost of capital; Determinants of capital structure of MNEs; Dividend decision and policies of MNEs; International transfer pricing.

 

Unit-4
Teaching Hours:12
Managing currency Risk and Interest Rate Risk
 

 

Types of risk exposure - Transaction exposure, Economic exposure and Translation exposure; Measurement of risk exposure; Management of currency risk using currency forwards and futures, currency options and currency swaps; Assessment of interest rate risk; Management of interest rate risk using Interest rate futures, interest rate swaps and other financial swaps.

 

Unit-5
Teaching Hours:12
International Diversification and Portfolio Investment
 

 

Global markets for equities; Risk factors in international investing; International diversification-risk and return aspects; International CAPM assuming no differences in consumption and no barriers to investment as well as assuming such differences; Identification of optimum portfolio; International Capital Market. Foreign Portfolio.

 

GDR, ADR, Cross, listing of shares Global registered shares. International Financial Instruments: Foreign Bonds Eurobonds, Global Bonds. Floating rate Notes, Zero coupon Bonds, International Money Markets International Banking services; Correspondent Bank, Representative offices, Foreign Branches. Forward Rate Agreements.

 

Text Books And Reference Books:

Eiteman, D., Stonehill, A., and Moffett, M. (2010), Multinational Business Finance, 12th Edition (Global), Pearson

 

Essential Reading / Recommended Reading

 

1.     Bekaert, G., & Hodrick, R. (2017). International Financial Management (3rd ed.). Cambridge: Cambridge University Press. doi:10.1017/9781316282274

 

2.     The Financial Times or Wall Street Journal.

 

3.     The Economist and Bloomberg Business Week.

 

4.     IMF Staff Papers,

 

5.     Finance and Development (IMF), OECD Observer,

 

6.     Transnational Corporations,

 

7.     Journal of International Business Studies.

 

8.     http://www.bis.org/statistics/index.htm http://www.rbi.org.in/home.aspx

 

9.     http://www.fedai.org.in/AboutUs.html http://www.nseindia.com/marketinfo/fxTracker/fxTracker.jsp

 

10.  http://exim.indiamart.com/act-regulations/fema-2000- ii.html

http://www.cmegroup.com/?ProductType=cur http://www.economist.com/markets/bigmac

Evaluation Pattern

Students are evaluated for each course on the basis of written examination and continuous internal assessments. Each paper carries maximum of 100 marks and is evaluated as follows:

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100%

MFA235N - FINANCIAL MODELLING AND BUSINESS VALUATION (2021 Batch)

Total Teaching Hours for Semester:60
No of Lecture Hours/Week:4
Max Marks:100
Credits:4

Course Objectives/Course Description

 

Course Description The course will develop the financial modelling skills used in valuing business using he application of Excel spreadsheet functions and visual basic programming.

Course Objectives This course attempts to enhance the modelling skill level of the students through in financial analyse, valuation skills and valuation report writing. 

Learning Outcome

CLO1 Understand the valuation methods L2

CLO2 Do financial projections using data information from various sources L3

CLO3 Perform relative valuation and other techniques for valuation L4

CLO4 Build an integrated financial model L5

CLO5 Develop suitable valuation for the companies L6

Unit-1
Teaching Hours:8
Introduction to Valuation
 

The importance of valuation Understanding enterprise value and equity value, Introduction to use of MS Excel in Finance; Overview of different finance concepts; Creating basic finance models (PV, FV, FD, RD, Loan Amortization schedule), Project Finance Modelling (NPV, IRR, MIRR, WACC, CAGR, BEP), Financial Statement Modelling (Financial Statement Analysis, Projecting BS, PL and Cash Flows).

Unit-2
Teaching Hours:8
Approaches to Valuation
 

Recap of Financial Ratios, Calculation of Financial Ratios, Discounted cash flows, Free Cash Flow to Equity and Free Cash Flow to Firm- Calculation of unlevered beta- Understanding role of Working capital in valuation – Concepts of valuation techniques relative valuation, Residual Income and Replacement Value 

Unit-3
Teaching Hours:16
Building Financial Models
 

Comparable Company Analysis, Selecting comparable companies, Spreading comparable companies, Analyzing the valuation multiples, Concluding and understanding value; Precedent Transactions Analysis, Selecting comparable transactions, Spreading comparable transactions, Concluding value, Discounted Cash Flow (DCF) analysis, Understanding unlevered free cash flow, Forecasting free cash flow, Forecasting terminal value, Present value and discounting, Understanding stub periods, Performing sensitivity analysis, Weighted Average Cost of Capital (WACC), Using the CAPM to estimate the cost of equity, Estimating the cost of debt, Understanding and analyzing WACC, Concluding valuation, Aggregating the three methodologies, Concluding value

Unit-4
Teaching Hours:20
Building an Integrated Model
 

Understanding the links between the financial statements, Understanding circularity, Setting up and formatting the model, Selecting model drivers and assumptions, Modeling and projecting the financial statements, Projecting the income statement, Projecting the balance sheet, Projecting the cash flow statement, Geographic Revenue Sheet, Segment Revenue Sheet, Cost Statement, Revenue Drivers, Creating the debt and interest schedule, Revolver modelling, Analyzing and concluding the model, Analyzing the output, Stress testing the model, Fixing modeling errors, Advanced modeling techniques, Using the model to create a Discounted Cash Flow (DCF) Analysis. 

Unit-5
Teaching Hours:8
Refining the Valuation Model and Report Writing
 

Performing sensitivity analysis of the model – Arriving at the range of equity value of the company – Calculating the market multiple, Investment Note writing- principles of logic and structure of the report- Use of Infographic and use of linking words in report writing, Valuation of young companies, privately held companies, distressed companies- the principles and the challenges

Text Books And Reference Books:

1. Investment Valuation – Tools and Techniques for Determining the value of any asset, Aswath Domodaran, John Wiley & Sons Inc. 

Essential Reading / Recommended Reading

Valuation: Measuring and Managing the Value of Companies, Thomas E. Copeland, Wiley

Business Analysis and Valuation: Using Financial Statements Text and Cases,

Krishna G. Palupu, Paul M. Healy & Victor L. Bernard, South-Western Pub.

The Handbook of Advanced Business Valuation, Rovert F. Reilly & Robert P. Schweihs, McGraw Hill.

Corporate Finance: A Valuation Approach, O.H. Sarig & S.Z. Benninga, Irwin McGraw Hill.

Valuation Workbook: Step-by-Step Exercise and Tests to Help your Master Valuation, Tom Copeland, Tim Koller, Jack Murrin and William Foote, John Wiley & Sons

Evaluation Pattern

Students are evaluated for each course on the basis of written examination and continuous internal assessments. Each paper carries maximum of 100 marks and is evaluated as follows:

Continuous Internal Assessment (CIA – 1) 20%

Mid Semester Examination (CIA-2) 25%

Continuous Internal Assessment (CIA - 3) 20%

End Semester Examination (ESE) 30%

Attendance 05%

Total 100%