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MIT 18.S096: Topics in Mathematics with Applications in Finance →0/22
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1. Introduction, Financial Terms and Concepts

1:00:30
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2. Linear Algebra

1:12:36
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3. Probability Theory

1:18:25
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5. Stochastic Processes I

1:17:41
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6. Regression Analysis

1:22:12
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7. Value At Risk (VAR) Models

1:21:15
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8. Time Series Analysis I

1:16:19
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9. Volatility Modeling

1:21:15
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Lecture 10: Regularized Pricing and Risk Models (18.S096)

1:29:57
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Lecture 11: Time Series Analysis II (18.S096)

1:23:48
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Lecture 12: Time Series Analysis III (18.S096)

1:17:39
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Lecture 13: Commodity Models (18.S096)

1:20:45
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Lecture 14: Portfolio Theory (18.S096)

1:24:55
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Lecture 15: Factor Modeling (18.S096)

1:25:49
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Lecture 16: Portfolio Management (18.S096)

1:28:38
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Lecture 17: Stochastic Processes II (18.S096)

1:15:59
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Lecture 18: Itō Calculus (18.S096)

1:18:03
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Lecture 19: Black-Scholes Formula, Risk-neutral Valuation (18.S096)

49:52
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Lecture 20: Option Price and Probability Duality (18.S096)

1:20:29
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Lecture 21: Stochastic Differential Equations (18.S096)

56:05
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Lecture 23: Quanto Credit Hedging (18.S096)

1:37:37
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Lecture 24: HJM Model for Interest Rates and Credit (18.S096)

1:47:16

Lecture 13: Commodity Models (18.S096)

Alexander EydelandMIT

Professor

1:20:45·2015·undergraduate level

This lecture delves into commodity modeling, presenting various methodologies for generating profit within constrained systems, specifically tailored for commodity markets and their unique dynamics.

EconomicsCommodity MarketsQuantitative FinanceProfit OptimizationFinancial Modeling

MIT 18.S096 Topics in Mathematics with Applications in Finance, Fall 2013

View the complete course: http://ocw.mit.edu/18-S096F13

Instructor: Alexander Eydeland

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Lecture 12: Time Series Analysis III (18.S096)

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Lecture 14: Portfolio Theory (18.S096)

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