Semester 1
Module 1: Mathematics
Topic 1: Probability and Statistics
o Combinatorial Analysis, Conditional Probability and Generating Functions.
o Sampling Distributions, Law of Large Numbers and Central Limit Theorem.
o Likelihood Functions, Estimation, Confidence Intervals, Hypothesis Testing and Bayesian Inference.
o Regression, Analysis of Variance, Covariance and Correlation.
Topic 2: Basics of Calculus
o Ordinary and Partial Differential Equations
o Integration Techniques, Random walk models and basic stochastic
o Optimization Techniques: Least Square Optimization and Maximum Likelihood Optimization.
Topic 3: Compounding and Interest Calculation
o Simple Interest and Compound Interest.
o Continuous Compounding and Concept of Time Value of Money.
o Annuity and Perpetuity.
o Concept of Internal Rate of Return.
Module 2: Introduction to Programming
Topic 1: Introduction to C language
o The Basics of C, C operators, Control Structures.
o Functions, Storing Variables, Arrays and Pointers.
o Preprocessors, Structures and Unions, Files Handling.
o Standard Library Functions and Strings.
o Mini project: have students implement a small database project. I.e., for example make a C program to
input data for books in the library and then search the book entries based on
different key indices like author name, year etc.
Topic 2: Basics of MS Excel
o The Architecture of the Excel User Interface.
o The Excel Programming Architecture.
o Important Features of Excel.
o Excel objects and object hierarchy.
o Introduce Macros in Excel.
Topic 3: Overview of Basics of R & R Studio
o Data Objects, Importing data, Data manipulation and Writing functions.
o Efficient Calculations, Graphics, Statistics.
o Object Oriented Programming, R language objects, Calling R from SAS.
o Defaults and preferences in R, Starting R, Creating R package, Creating Fancy outputs and reports.
Topic 4: Introduction to Easy Language along with basics of Trade station, Multicharts.
o Understanding Easy Language grammar, Using Inputs for flexibility and optimization.
o Employing Variables and Trade Station-supplied functions to make work easier and efficient, Creating
real time alerts based on your custom market conditions.
o Writing market, limit and stop orders into strategies, Incorporating money management exits in your
Strategies.
o Formatting indicators dynamically based on market conditions, Designing indicators specifically for
Radar Screen Sending information out to viewing windows.
Module 3: Basics of Finance
Topic 1: Financial Planning
o Cash Flow management, Education planning, Retirement planning, Investment planning.
o Risk Management and Insurance planning.
o Portfolio Management and Diversification: Introduction to risk management, CAPM and Markowitzian
models for Portfolio Theory.
o Estate planning and Business Succession planning.
Topic 2: Various Types of Costs & Risks, Overview of Taxation
o Costs involved in Transactions: Post Trade benchmarks and cost calculations for post trade
benchmarks. R practical or demonstration for cost calculations in trading.
o Interest Rate Risk, Business Risk, Credit Risk, Taxability Risk, Call Risk, Inflationary Risk, Liquidity Risk,
Market Risk, Reinvestment Risk, Currency Rate Risk.
o Types of Tax and its implications.
Topic 3: Financial Institutions & Markets
o Bond Market, Commodity Market, Foreign Exchange Market, Money Market, Over the Counter,
Private Equity, Real Estate, Stock Market, Spot Market.
o Depositary Institutions, Contractual Institutions.
Topic 4: Capital Markets & Commodity Markets Operations
o Introduction to Capital & Commodity Market.
o Types of Market (Primary & Secondary).
o Determining Appropriate Market price for a Security.
o Application of derivative in commodities.
Semester 2
Module 1: Trading
Topic 1: Participants in Trading
Topic 2: Stocks, Options, Bonds, Mutual Funds, ETFs and Forex Trading
Topic 3: Current Scenario of Trading & Future Prospective
Topic 4: Introduction to Algorithmic and High Frequency Trading
Module 2: Analysis
Topic 1: Time Series Analysis
o Autocorrelation, White noise, Stationarity, Autoregressive models.
o Moving Average model, Transformations, Differencing models, ARIMA models.
o Spectral Analysis, Fourier Transformation.
o R practicals of Time Series Analysis.
Topic 2: Analysis of Stock data
Topic 3: Estimation of volatility using various models
o Approaches to volatility prediction.
o Unweighted moving averages, EWMA models, GARCH models.
o Excel Sheet and R practicals of volatility estimation.
Topic 4: Pairs Trading: Correlation, Distance, Co integration and Stochastic
Module 3: Models & Theory in Financial Markets
Topic 1: Portfolio Theory and CAPM
Topic 2: Factors Model and Arbitrage Pricing Theory
Semester 3
Module 1: Models & Theory in Financial Markets
Topic 1: Options Theory
o Options terminology, Options Payoffs, Options payoff profile and strategies.
o European and American Options.
o Pricing of Options.
Topic 2: Futures and Forwards Markets
o Fundamentals, Speculation and Hedging, Applications
Topic 3: Swap Contracts & Swap Markets
Module 2: Technical Analysis
Topic 1: Trend Analysis, Oscillators, Moving Averages
o Trend Analysis: Support and Resistance Lines, Trends, Direction, Duration, Trend Lines, Channel Lines,
Breakout Trend lines: Rules of Confirmation.
o Oscillators: Definition, Role, Relationship with Underlying Instruments, In-gear, Bearish and Bullish
divergence, Types, Momentum, Rate of Change, Relative Strength Index, Stochastic,
Larry Williams’s %R, MACD, Moving Average Oscillator.
o Moving Averages: Definition, Benefits, Types, Number of Moving Averages, Duration, Double Crossover,
Japanese Crosses, Triple Crossovers, Envelope Model and Bollinger Bands.
Topic 2: Technical Theory & Technical Analysis Indicators
o Dow Theory, Elliott Wave Principles, Fibonacci sequence, Gann Analysis, Cycle Analysis.
o Relative Strength Index, Rate of change Index, MACD, Bollinger Band.
Topic 3: Inter market Technical Analysis
o Inter Market relation using Technical concepts
o Inter Market Analysis – Gold, crude, silver, DJIA, Nifty, Dollar, International Market
Topic 4: Making Strategies and Indicators in Trade Station
Semester 4
Module 1: Practicals & Personal Development
Topic 1: Paper Trading Account and Real time trading
Topic 2: Personality Development & Support for Placements
Module 2: Project & Thesis