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Quantitative Methods for Finance
Prof. Sanjiv R. Das
- Contents
- Overview
- Software and Data
- Basic Concepts
- Stochastic Processes and Dynamics
- Statistics
- Regression Analysis
- Vector Algebra for Portfolios
- Portfolio Moments
- Generating the portfolio frontier by simulation
- Regression
- Regression using Matrices
- Diversification - Independent Returns
- Diversification - Dependent Returns
- Recap: Basic Matrix Operations
- Solving Systems of Equations
- Markov Chains
- Multiple Period Chains
- Credit Transition Matrices
- Input-Output Matrices
- Basic Bond Math
- Term Structure of Interest Rates
- Bayes' Rule
- Revisiting Basic Calculus
- Hypothesis Testing
- Value-at-Risk (VaR)
- CoVaR
- Extending the Regression Framework
- Monte Carlo Simulation
- Simulating Normal Random Variables
- Bivariate Random Variables
- Cholesky Decomposition
- Stochastic Processes for Equity Prices
- ARCH Models
- Co-integration
- Interest-rate Processes
- Estimating Historical Volatility for Equities
- Estimating Historical Volatility for Interest Rates
- Path-dependent Options
- Variance Reduction
- Antithetic variate Method
- Control variate techniques
- Forwards and Futures
- Basic Options Concepts
- Option Definitions
- Call Options
- Put Options
- Basic Trading Strategies
- Covered Call: Long stock, short call
- Protective Put: Long stock, long put
- Spreads
- Bullish Vertical Spread: Gross Payoffs
- Bearish Vertical Spread: Gross Payoffs
- Butterfly Spread: Gross Payoffs
- Combinations:
- Straddle: Gross Payoffs
- Strip: Gross Payoffs
- No-Arbitrage Restrictions on Option Values
- Restrictions on Call-Option Pricing
- Relationship between
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- Restrictions on Put Option Pricing
- Comparing and Relating Options
- European Option vs. American Option Prices
- Put-Call Parity
- Synthesize forward contracts with options
- Analogy to valuing assets in a firm
- Replication and risk-neutral pricing
- Binomial Model Implementation
- Homework and Solutions
- About this document ...
Sanjiv Das 2010-02-11



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