Course11110313739 lectures
Mathematical Portfolio Theory
Prof. Siddhartha Pratim Chakrabarty · IIT Guwahati
Lectures
Week 1: Basics of Probability Theory
- 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
Module 2: Basics of Financial Markets
- Lecture 4 :Â Financial markets
- Lecture 5 :Â Bonds and stocks
- Lecture 6 : Binomial and geometric Brownian motion (gBm) asset pricing models
Module 3: Mean-Variance Portfolio Theory-I
- 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
Module 4: Mean-Variance Portfolio Theory-II
- 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
Module 5: Non-Mean-Variance Portfolio Theory-I
- Lecture 13 : Utility functions and expected utility
- Lecture 14 :Â Risk preferences of investors
- Lecture 15 : Absolute Risk Aversion and Relative Risk Aversion
Module 6: Non-Mean-Variance Portfolio Theory-II
- 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
Module 7: Non-Mean-Variance Portfolio Theory-III
- Lecture 19 : Semi-variance framework
- Lecture 20 : Stochastic dominance; First order stochastic dominance
- Lecture 21 : Second order stochastic dominance and Third order stochastic dominance
Module 8: Optimal Portfolio and Consumption-I
- 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
Module 9: Optimal Portfolio and Consumption-II
- 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
Module 10: Bond Portfolio Management
- Lecture 28 : Interest rates and bonds; Duration
- Lecture 29 : Duration; Immunization
- Lecture 30 : Convexity; Hedging and Immunization
Module 11: Risk Management
- Lecture 31: Quantiles and their properties
- Lecture 32:Â Value-at-Risk and its properties
- Lecture 33: Average Value-at-Risk and its properties
Module 12: Applications with market data
- Lecture 34: Asset allocation
- Lecture 35: Portfolio optimization
- Lecture 36: Portfolio optimization with constraints, Value-at-Risk: Estimation and backtesting
Live Session
Syllabus and materials
At NPTEL, as the course publishes them.
Credits and licence
- Institution
- IIT Guwahati
- Department
- Mathematics
- Teacher
- Prof. Siddhartha Pratim Chakrabarty
- Level
- Undergraduate
- Language
- English
- Subjects
- Mathematics
- Source
- NPTEL
- Licence
- CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
- Attribution
- NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
- Who can watch
- NPTEL gives no rating. Invisible Network shows it to Tweens profiles and older, judged from what the source says about it. How courses are placed
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