Topics in Mathematics with Applications in Finance
Video Lectures
Displaying all 26 video lectures.
Lecture 1![]() Play Video |
Introduction, Financial Terms and Concepts In the first lecture of this course, the instructors introduce key terms and concepts related to financial products, markets, and quantitative analysis. Instructor: Peter Kempthorne, Choongbum Lee, Vasily Strela, Jake Xia |
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Linear Algebra This lecture is a review of the linear algebra needed for the course, including matrices, linear transformations, eigenvalue, and eigenvectors. Instructor: Choongbum Lee |
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Probability Theory This lecture is a review of the probability theory needed for the course, including random variables, probability distributions, and the Central Limit Theorem. *NOTE: Lecture 4 was not recorded. Instructor: Choongbum Lee |
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Unavailable |
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Stochastic Processes I Instructor: Choongbum Lee *NOTE: Lecture 4 was not recorded. This lecture introduces stochastic processes, including random walks and Markov chains. |
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Regression Analysis This lecture introduces the mathematical and statistical foundations of regression analysis, particularly linear regression. Instructor: Peter Kempthorne |
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Value At Risk (VAR) Models This is an applications lecture on Value At Risk (VAR) models, and how financial institutions manage market risk. Instructor: Kenneth Abbott |
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Time Series Analysis I This is the first of three lectures introducing the topic of time series analysis, describing stochastic processes by applying regression and stationarity models. Instructor: Peter Kempthorne |
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Volatility Modeling This lecture introduces the topic of volatility modeling, including historical volatility, geometric Brownian motion, and Poisson jump diffusions. Instructor: Peter Kempthorne |
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Regularized Pricing and Risk Models This is a guest lecture on regularized pricing and risk models, featuring explanations of bonds, swaps, and yield curve models. Instructor: Ivan Masyukov |
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Time Series Analysis II This is the second of three lectures introducing the topic of time series analysis, describing multivariate time series, representation theorems, and least-squares estimation. Instructor: Peter Kempthorne |
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Time Series Analysis III This is the last of three lectures introducing the topic of time series analysis, describing cointegration, cointegrated VAR models, linear state-space models, and Kalman filters. Instructor: Peter Kempthorne |
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Commodity Models This is a guest lecture on commodity modeling, analyzing the methods of generating profit with a constrained system. Instructor: Alexander Eydeland |
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Portfolio Theory This lecture describes portfolio theory, including topics of Marowitz mean-variance optimization, von Neumann-Morganstern utility theory, portfolio optimization constraints, and risk measures. Instructor: Peter Kempthorne |
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Factor Modeling This lecture describes factor modeling, featuring linear, macroeconomic, fundamental, and statistical factor models, and principal components analysis. Instructor: Peter Kempthorne |
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Portfolio Management This lecture focuses on portfolio management, including portfolio construction, portfolio theory, risk parity portfolios, and their limitations. Instructor: Jake Xia |
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Stochastic Processes II This lecture covers stochastic processes, including continuous-time stochastic processes and standard Brownian motion. Instructor: Choongbum Lee |
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Itō Calculus This lecture explains the theory behind Itō calculus. Instructor: Choongbum Lee |
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Black-Scholes Formula, Risk-neutral Valuation This is a lecture on risk-neutral pricing, featuring the Black-Scholes formula and risk-neutral valuation. Instructor: Vasily Strela |
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Option Price and Probability Duality This guest lecture focuses on option price and probability duality. Instructor: Stephen Blythe |
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Stochastic Differential Equations This lecture covers the topic of stochastic differential equations, linking probablity theory with ordinary and partial differential equations. Instructor: Choongbum Lee |
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Unavailable |
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Quanto Credit Hedging This is a guest lecture on quanto credit hedging, including using mathematical models in trading. Instructor: Stefan Andreev |
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HJM Model for Interest Rates and Credit This is a guest lecture that describes the HJM model for interest rates and credit, including hedging risk on interest and credit rate derivatives. Instructor: Denis Gorokhov |
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Ross Recovery Theorem This guest lecture features the Ross Recovery Theorem. Instructor: Peter Carr |
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Introduction to Counterparty Credit Risk This lecture is an introduction to counterparty credit risk, featuring credit valuation as well as the broad economic objectives of a financial institution. It also concludes the course. Instructor: Yi Tang |