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Course: Executive Program in Financial Risk and Investment Management (EPFRIM)
Duration of the Course:
One Year
Date of Commencement:Not yet declared
Important Dates:
 1st Cycle Application Closure Date   30th May 2013 
 Second Application closure   30th June 2013
 1st Lot Selection   30th June 2013
 2nd Lot Selection   5th July 2013 
 Class Start Date   Last Week of July 2013 
 Campus Dates   To be Announced 
 Class End Date   July 2014 

 

Course Schedule:
  • Monday & Tuesday: 6.45 pm – 9.45 pm.
Mode of Delivery:
Virtual Classroom
Program Summary:
  • The domain of financial risk management has come in the limelight post the recent financial crisis. This global financial meltdown has brought to the centre stage the need for proficient finance experts, who are required to create and manage the risks of innovative financial products such as derivatives.

  • The recent financial crisis can be mainly attributed to the incompetence on the part of managers who could not fathom the operational risks involved in the new generation of derivatives. It is desired that future finance managers must be fully equipped with the mathematical and conceptual theories and best practices that help create and manage such innovative products. The need for sophisticated financial markets specialists is felt in every sector of businesses including banking, investment banking, insurance industries and also service providers of these financial intermediaries like software and BPO industries. This Program aims to develop cutting-edge knowledge and skills expected by the intermediaries and service providers of intermediaries.

  • Successful completion of the program will endow participants with skills that can take them a long way in jobs in the Business Finance Insurance Services (BFIS) sector.
Who is right for the Program?
  • The Program is targeted for the executives working for:
  • • Banks and Financial Institutions
  • • Insurance Companies
  • • KPO
  • • Software Companies in Financial Verticals
  • • Investment Banking Companies (eg. Avendus Capital, Bajaj Capita, Cholamandalam Investment & Finance Company)
  • • Mutual Funds
  • • Brokerage House
  • • Hedge Funds
  • • Companies with considerable financial risk exposure
  • • Analytics Firms
Admission Criteria:
Instructions:
  • The following documents are required for applying to the course:
  • •  One Current Photograph.
  • •  For Self Employed professionals - IT Return + MOA & AOA or Trade License or Partnership Deed is mandatory.
  • •  For other working professionals - Salary Slip (March/April 2011) + all joining & relieving letters (if applicable) is mandatory.
  • •  Mark Sheets of all years of Graduation is mandatory for all.

Your program of study includes the following:
  • Module 1: Basic Mathematics
    In pricing of several risk management products, mathematics is extensively used. This course covers important mathematical topics related to derivative pricing. Many of the inputs of the course are used in subsequent courses.
    •  Set Theory Sets, Subsets, Set Operations, Disjoint Sets, Products of Sets
    •  Linear Algebra
    •  Vectors and vector spaces,
    •  Matrices, Linear transforms,
    •  Systems of linear Equations.
    •  Eigen values and Eigen vectors.
    •  Real Symmetric matrices,
    •  Cholesky factorization.
    •  Functions and Sequences
    •  Injections, Surjections, Bijections,
    •  Sequences,
    •  Countability,
    •  functions on the Real Line
    •  Limits and Convergence of Sequences,
    •  Series-Ratio Test,
    •  Root Test,
    •  Power Series,
    •  Absolute Convergence
    •  Differential and Integral calculus basics

  • Module 2: Statistics and Probability
    Several concepts of statistics are extensively used in measuring financial risk. This first course on statistics is aimed to provide a strong foundation on statistics and statistical models. The course will primarily focus on statistics relevant for application in finance and financial risk management.
    •  Introduction to Statistics
    •  Basic Concepts of Statistics
    •  Definition, Classification, Characteristics of statistics
    •  Population and sample
    •  Descriptive Statistics
    •  Central tendency, Mean, Median,Mode
    •  Measures of location, Quartiles, Percentiles,Deciles
    •  Measures of variability or dispersion
    •  Range,Special range,Quartile deviation
    •  Mean deviation
    •  Variance and standard deviation
    •  Relative measures of dispersion
    •  Shape characteristics of a distribution, Skewness,Kurtosis
  • •  Data Exploration with Graphical Means
    •  Bar diagram, Pie chart, Histogram, Scatter diagram
    •  Line diagram
    •  Probability Concepts
    •  Random Phenomenon and Related Concepts
    •  Interpretations and Laws of Probability
    •  Interpretations of probability
    •  Laws of probability
    •  Probability Theorems
    •  Total probability theorem
    •  Bayes' theorem
    •  Probability Distribution Functions
    •  Univariate and Bivariate distribution function
    •  Marginal, Conditional and Derived Distributions
    •  Marginal distribution
    •  Conditional distribution
    •  Derived distribution
    •  Properties of Random Variables
    •  Introduction to Estimation Theory
    •  Properties of Parameter Estimator
    •  Methods of Parameter Estimation
    •  Method of moments
    •  Method of maximum likelihood
    •  Probability Distributions and Their Application
    •  Discrete Distributions
    •  Binomial, Poisson, Hypergeometric, Exponential ,Gamma distribution
    •  Multinomial distribution
    •  Continuous Distributions
    •  Normal distribution
    •  Uniform/Rectangular Exponentia, Erlangian, Weibull, Cauchy distribution
    •  Beta distribution
    •  Lognormal distribution
    •  Pareto distribution
    •  Synthesized Distributions, Mixed Gaussian
    •  Correlation and Regression
    •  Correlation and Partial Correlation
    •  Correlation
    •  Partial correlation
    •  Simple Linear Regression
    •  Partitioning the sum of squares in simple regression
    •  Coefficient of determination
    •  Testing a hypothesis and making an inference concerning
    •  Confidence interval for a mean value of Y given a value
    •  Prediction interval for a new individual value given a value
    •  Multiple Linear Regression
    •  Regression Diagnostics
    •  Issues of Multicollinearity
     
    Module 3: Financial Econometrics
    This course provides a comprehensive input to financial econometric models and their application to modeling and prediction of financial time series data. The course covers analysis and application of univariate financial time series, the return series of multiple assets and Bayesian inference in finance methods.
    •  Multivariate regression
    •  Use of dummy variables
    •  Logit and Probit Models
    •  Concepts of Stochastic Processes and Time Series Analysis (3 hrs)
    •  MARKOV Process
    •  Brownian Motion
    •  Basics Concepts
    •  Martingales
    •  Properties of martingales
    • Introduction to Time Series Modeling & Steps in Time Series Modeling (3 hrs)
    •  Autoregressive Processes and ARMA Model
    • Formulation, identification, estimation and diagnostic checking
    •  Forecasting
    • Data generation
    •  GARCH Model
    •  Introduction
    • ARCH(1) processes
    •  The AR(1) / ARCH(1) Model
    •  ARCH(q) Models
    •  GARCH(p,q) Models
    •  GARCH processes have heavy tails
    •  Comparison of ARMA and GARCH processes
    Module 4: Corporate Finance
    An understanding of financial accounting and financial statements provides some basic idea about the way in which business organizations' function. Different sources of risk and their impact on business can be best explained in a non-technical manner through analysis of financial statements. The course aims to familiarize the students with the mechanics of preparation and presentation of financial statements and to acquire in-depth knowledge and skill in analyzing financial statements.
    •  Corporate Finance
    •  Understanding Financial Statements and Cash Flows
    •  Evaluating a Firm's Financial Performance
    •  Capital-Budgeting Techniques and Practice
    •    Cash Flows and Other Topics in Capital Budgeting
    •  Cost of Capital
    •  Determining the Financing Mix
    •  Dividend Policy and Internal Financing
    •  Short-term financial planning, Working-Capital management
    •  International Finance
    •  Mergers and Acquisitions

    Module 5: Investment Management
    A simple but most effective way of managing risk is holding diversified portfolio of assets. This course focuses on how risk and return of portfolio of assets differ from individual assets and different ways in which portfolio of assets are selected, measured and managed.
    •  Introduction to portfolio theory
    •  Portfolio Planning
    •  Markowitz MV model
    •  Capital Asset Pricing model (CAPM)
    •  Index tracking models
    •  Arbitrage pricing theory and factor model
    •  Cardinality restrictions
    •  Rebalancing model
    •  Multiple Risk Measures in Portfolio Planning
    •  Portfolio Construction
    •  Portfolios of uncorrelated assets
    •  Portfolios of correlated assets
    •  Evaluation of Portfolio
    •  Sharpe Index
    •  Sortino Index
    •  Value-at-risk – Linear and Non-Linear portfolios
    •  Outline of the method: identifying worst cases
    •  Back testing, out of sample testing and stress testing
    •  Trading Strategies
    •  Pair trading, basket trading, volatility trading, programme trading
     
    Module 6: Financial Institutions and Markets
    This course aims to provide an idea on the role and functioning of financial markets, financial products that are traded in such financial markets and institutions associated with financial markets. The focus of the course will be in the context of global financial markets and institutions.
    •    Various financial institutions and their activities
    •  Money market
    •  Bond market
    •  Equity market
    •  Market microstructure
    •  Efficiency hypothesis in capital market
    •  Stylized facts about the markets
     
    Module 7: Financial Modelling
    This course aims to develop tools and techniques to implement and analyze the core models of modern finance, as applied in asset pricing, portfolio selection and risk management. Financial models will be implemented in Excel, supplemented where appropriate by Visual Basic for Applications (VBA). The course will enhance understanding of the theory and provide relevant tools for practitioners.
    •  Introduction to Financial Modeling
    •  Computing Tools used in Modeling
    •  Modeling Applications in Equity & Portfolio
    •  Modeling Applications in Derivatives
    •  Modeling Applications in Fixed Income
    •    Modeling Applications in Valuations
     
    Module 8: Options, Futures and Other Derivatives
    This course extends the knowledge gained from the courses like Financial Markets, Institutions and Instruments and Mathematics of Finance.
    •  Options
    •  An overview of Options products
    •  Mechanics of Options markets
    •  Review of Option Pricing Models
    •  The Greek letter
    •  Volatility Similes
    •  Trading Strategies
    •  Interest Rate Derivatives
    •  Interest Rate Derivatives
    •  Standard Market Models
    •  Modes of the Short Rate
    •  Advanced Models
    •  Futures and Other Derivatives
    •  Mechanics of Futures Markets
    •  Determination of Forward and Futures prices
    •  Swaps
    •  Insurance, weather and energy derivatives
    •  Commodity Derivatives
     
    Module 9: Risk Management in Banks and Financial Institutions
    The phenomenal growth of the credit markets has led several new instruments for managing credit risk. This course covers tools and techniques in measuring and managing credit risk and loan pricing and structuring.
    •  Credit analysis
    •  Asset-based lending
    •  Credit Rating Agencies
    •  Credit risk models
    •  Testing and implementing credit risk models
    •  Default rates, losses, recoveries
    •  Credit Derivatives
    •  Asset Liability Management
    •  VAR and Cash Coherent Measures of Risks
     
    Module 10: Accounting and Taxation for Financial Instruments
    New financial instruments including derivative and other structured products are often complex in structure and payoff. Accounting treatment and disclosure of the nature of risk associated with such financial instruments are given importance to ensure fairness of determining profitability of the organizations. Due to complexity of the instruments and payoff, tax authorities also prescribe treatment for tax purpose. This course covers important accounting and tax issues under various major regulations (US regulations, IAS and Indian regulations).
    •    Accounting and Disclosure regulations under FASB, IAS and AS
    •  Accounting for Equity derivatives
    •  Accounting for interest rate swaps and interest rate futures and options
    •  Accounting for currency derivatives
    •  Accounting for structured products
    •  Tax Treatment on Derivative Instruments
     
    Module 11: Corporate Governance, Regulations and Operational Risk
    •  Overview and need for regulatory regime
    •  International perspectives
    •  National perspectives
    •  Relationship between national and international regulations
    •  Regulations in the finance sector
    •  Banking
    •  Insurance
    •  Pension
    •  Regulations for corporate governance and SOX
    •  Indian corporate regulation by SEBI
    •  Operational Risks and Mitigation
    •  Definition
    •  Operational Risks of Financial Institutions
    •  Operational Risks of non-Financial Institutions
    •  Risks from IT infrastructure
    •  Credit Risk and Operational risk
     
    Module 12: Fixed Income Markets
    •  Term structure of interest rate
    •  Fixed income valuation
    •  Fixed income market risk analysis
    •  Repo market
    •  Fixed income derivatives
    •  Asset backed/mortgaged backed securitization
    •  Benchmark rates and indices

    Pedagogy
    The pedagogy will be highly interactive. It will leverage use of technology. It will consist of a judicious blend of lectures, real life case studies, quizzes and assignments. Examinations will be conducted for each course.

    Evaluation Methodology
    An examination will be held for every course. To complete the program successfully participants will need to pass in all subjects (including projects) and acquire a minimum of “average” grade (out of four grades, namely, “Excellent”, “Good”, “Average” and “Poor”). Candidates successfully completing the program will get a completion certificate and grade sheet from IIMC.

    Certification & Alumnus Status
    IIM Calcutta shall carry out the examination and evaluation required for certification. IIM Calcutta will directly award a certificate to participants who complete the program successfully. Giving feedback is an integral part of the completion requirements of the program. Successful Candidates will be offered the IIMC – MDP Alumni status.

  • Dr. Ashok Banerjee
  • • joined the Indian Institute of Management, Calcutta (IIM-C) as Professor (Finance and Control) in August 2004.
  • • Prior to joining IIM-C, he was a professor at IIM-Lucknow.
  • • He is a Postgraduate in Commerce from University of Calcutta and a qualified Chartered Accountant. He obtained his Ph.D. for his research on Economic Value Added as a Performance Measure.
  • • Prof. Banerjee, teaches Corporate Financial Reporting, Corporate Finance, Corporate Restructuring, Quantitative Applications in Finance, and Trading Strategies in PGP. He has published many articles in various national and international journals.
  • • Prof. Banerjee has presented papers in various national and international conferences. His current areas of research include news analytics, modeling volatility, and financial implications of corporate restructuring.
  • • Prof. Banerjee is the Chairperson of the Financial Research and Trading laboratories at IIM Calcutta.

  • Prof. B B Chakrabarti
  • • Professor of Finance at IIM Calcutta.
  • •; His teaching interests include corporate finance, financial strategies, derivatives, fixed income markets and risk management.
  • • His current area of research is market microstructure and regulation of commodity markets.
  • • He is a visiting faculty at IIM Ahmedabad, National University of Singapore and French business schools at Bordeaux and Reims.
  • • He has conducted corporate training programs in Standard Chartered Bank, HSBC, Deutsche Bank, Kotak Mahindra Bank, ICICI Bank, Fidelity, L&T, Indian Oil, Gail and many other organizations in India, Dubai and Colombo. He has undertaken consultancy for ADB, UN, Central Govt. ministries and corporate organizations.
  • • He runs online executive development programs in association with Macmillan India, NIIT and Hughes. He is an Engineer, MBA from IIMC, Cost Accountant and Ph. D in Economics.

Fee Instructions:
  • •  Campus Fee includes fee for Board & Lodging. Campus Fee is Mandatory.
  • •  Fee for Books and Cases is included in the total Fees.
  • •  All fees except “Campus Fee” is to be paid online. Please speak to the Program Coordinator for more details.
  • •  A deferred scheme of payment is also available.
  • •  Campus Fee is not included in the installment detail below.
Program Fees for Indian Students
Application Fee : Rs.2000
Program Fee : Rs.190400 + 23534 (Service Tax)
Registration Fee: Rs.4760 + 588 (Service Tax)
Total Fee: Rs.195160 + 24122(Service Tax @12.36%)
Installment:
Installment Name Installment Date Installment Amount INR Installment Amount USD
Installment 1 As per Offer Letter 80000 + 4760 + Service Tax @12.36%
Installment 2 10/17/2013 65000 + Service Tax @12.36%
Installment 3 2/17/2014 45400 + Service Tax @12.36%
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