Learn · Mathematical Portfolio Theory
Lecture 32 of 39Module 11: Risk Management
Lecture 32:Â Value-at-Risk and its properties
Prof. Siddhartha Pratim Chakrabarty · IIT Guwahati
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- Mathematical Portfolio Theory, IIT Guwahati (at NPTEL)
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All the lectures
- Lecture 1: Probability space and their properties, Random variables
- Lecture 2: Mean, variance, covariance and their properties
- Lecture 3:Â Linear regression; Binomial and normal distribution; Central Limit Theorem
- Lecture 4 :Â Financial markets
- Lecture 5 :Â Bonds and stocks
- Lecture 6 : Binomial and geometric Brownian motion (gBm) asset pricing models
- Lecture 7 :Â Expected return, risk and covariance of returns
- Lecture 8 : Expected return and risk of a portfolio; Minimum variance portfolio
- Lecture 9 : Multi-asset portfolio and Efficient frontier
- Lecture 10 : Capital Market Line and Derivation of efficient frontier
- Lecture 11 : Capital Asset Pricing Model and Single index model
- Lecture 12 : Portfolio performance analysis
- Lecture 13 : Utility functions and expected utility
- Lecture 14 :Â Risk preferences of investors
- Lecture 15 : Absolute Risk Aversion and Relative Risk Aversion
- Lecture 16 :Â Portfolio theory with utility functions
- Lecture 17 : Geometric Mean Return and Roy's Safety-First Criterion
- Lecture 18 :Â Kataoka's Safety-First Criterion and Telser's Safety-First Criterion
- Lecture 19 : Semi-variance framework
- Lecture 20 : Stochastic dominance; First order stochastic dominance
- Lecture 21 : Second order stochastic dominance and Third order stochastic dominance
- Lecture 22 : Discrete time model and utility function
- Lecture 23 : Optimal portfolio for single-period discrete time model
- Lecture 24 : Optimal portfolio for multi-period discrete time model; Discrete Dynamic Programming
- Lecture 25 : Continuous time model; Hamilton-Jacobi-Bellman PDE
- Lecture 26 : Hamilton-Jacobi-Bellman PDE; Duality/Martingale Approach
- Lecture 27 : Duality/Martingale Approach in Discrete and Continuous Time
- Lecture 28 : Interest rates and bonds; Duration
- Lecture 29 : Duration; Immunization
- Lecture 30 : Convexity; Hedging and Immunization
- Lecture 31: Quantiles and their properties
- Lecture 32:Â Value-at-Risk and its properties
- Lecture 33: Average Value-at-Risk and its properties
- Lecture 34: Asset allocation
- Lecture 35: Portfolio optimization
- Lecture 36: Portfolio optimization with constraints, Value-at-Risk: Estimation and backtesting
- Live Session 07-10-2020
- Live Session 10-11-2020
- Live Session 01-12-2020