Math 2.0

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Mathematical Finance 3Q7RBE10R6

URIm2://res/3Q7RBE10R6
Kindcourse
CreatorsN. Selvaraju (instructor), Siddhartha Pratim Chakrabarty (instructor)
Date2019-07-03
Scopein
Idscourse 0022nd079:111103126

Expressions

e1: edition

Languageen
Date2019-07-03
Contents
  • part 1: Module 1: Introduction to Financial Markets and Instruments
  • session 1: Lecture 1: Introduction to Financial Markets and Bonds
  • session 2: Lecture 2: Introduction to Stocks, Futures & Forwards and Swaps
  • session 3: Lecture 3: Introduction to Options
  • part 2: Module 2: Time Value of Money and Riskfree Assets
  • session 4: Lecture 1: Interest Rates and Present Value
  • session 5: Lecture 2: Present & Future Values, Annuities, Amortization and Bond Yield
  • session 6: Lecture 3: Price Yield Curve and Term Structure of Interest Rates
  • part 3: Module 3: Modern Portfolio Theory - I
  • session 7: Lecture 7: Markowitz Theory, Return & Risk and Two Asset Portfolio
  • session 8: Lecture 8: Minimum Variance Portfolio and Feasible Set
  • session 9: Lecture 9: Multi Asset Portfolio, Minimum Variance Portfolio, Efficient Frontier and Minimum Variance Line
  • part 4: Module 3: Modern Portfolio Theory - II
  • session 10: Lecture 10: Minimum Variance Line (Continued), Market Portfolio
  • session 11: Lecture 11: Capital Market Line, Capital Asset Pricing Model
  • session 12: Lecture 12: Performance Analysis
  • part 5: Fundamentals of Derivatives
  • session 13: Lecture 13: No-Arbitrage Principle and Pricing of Forward Contracts
  • session 14: Lecture 14: Futures, Options and Put-Call-Parity
  • session 15: Lecture 15: Bounds on Options
  • part 6: Derivative pricing by replication in binomial model.
  • session 16: Lecture 16: Derivative Pricing in a Single Period Binomial Model
  • session 17: Lecture 17: Derivative Pricing in Multiperiod Binomial Model
  • session 18: Lecture 18: Derivative Pricing in Binomial Model and Path Dependent Options
  • part 7: Risk-Neutral Pricing in Discrete-Time
  • session 19: Lec 19: Discrete Probability Spaces
  • session 20: Lec 20: Filtrations and Conditional Expectations
  • session 21: Lec 21: Properties of Conditional Expectations
  • part 8: Risk-Neutral Pricing in Discrete-Time-II
  • session 22: Lecture 22: Examples of Conditional Expectations, Martingales
  • session 23: Lecture 23: Risk-Neutral Pricing of European Derivatives in Binomial Model
  • session 24: Lecture 24: Actual and Risk-Neutral Probabilities, Markov Process, American Options
  • part 9: Introductory Stochastic Calculus-I
  • session 25: Lecture 25: General Probability Spaces, Expectations, Change of Measure
  • session 26: Lecture 26: Filtrations, Independence, Conditional Expectations
  • session 27: Lecture 27: Brownian Motion and its Properties
  • part 10: Introductory Stochastic Calculus-II
  • session 28: Lecture 28: Itô Integral and its Properties
  • session 29: Lecture 29: Itô Formula, Itô Processes
  • session 30: Lecture 30: Multivariable Stochastic Calculus, Stochastic Differential Equations
  • part 11: Risk-Neutral Pricing in Continuous-Time-I
  • session 31: Lec 31: Black-Scholes-Merton (BSM) Model, BSM Equation, BSM Formula
  • session 32: Lec 32: Greeks, Put-Call Parity, Change of Measure
  • session 33: Lec 33: Girsanov Theorem, Risk-Neutral Pricing of Derivatives, BSM Formula
  • part 12: Risk-Neutral Pricing in Continuous-Time-II
  • session 34: Lec 34: MRT and Hedging, Multidimensional Girsanov and MRT
  • session 35: Lec 35: Multidimensional BSM Model, Fundamental Theorems of Asset Pricing
  • session 36: Lec 36: BSM Model with Dividend-Paying Stocks
  • part 13: Live Session
  • session 37: Live Session 07-10-2020
  • session 38: Live Session 29-10-2020
  • session 39: Live Session 17-11-2020
  • session 40: Live Session 05-11-2019
  • session 41: Live Session 30-08-2019

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