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STATS 237: Time Series Modeling and Forecasting
3.00 Credits
Stanford University
Box-Jenkins and Bayesian approaches. State-space and change-point models. Application to revenue prediction, forecasting product demand, and other real world problems. Development and assessment of models and forecasts in practical applications. Handson experience with real data. 3 units, Sum (Staff)
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STATS 237 - Time Series Modeling and Forecasting
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STATS 239A: Workshop in Quantitative Finance
1.00 Credits
Stanford University
Topics of current interest. 1 unit, Aut (Lai, T)
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STATS 239A - Workshop in Quantitative Finance
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STATS 239B: Workshop in Quantitative Finance
1.00 Credits
Stanford University
Topics of current interest. May be repeated for credit. 1 unit, Spr (Lai, T)
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STATS 239B - Workshop in Quantitative Finance
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STATS 240: Statistical Methods in Finance
3.00 - 4.00 Credits
Stanford University
(SCPD students register for 240P.) Regression analysis and applications to pricing and investment models. Principal components and multivariate analysis. Parametric influence. Financial time series. Estimation and modeling of volatilities. Statistical methods for portfolio management. Hands-on experience with financial data. 3-4 units, Aut (Lai, T)
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STATS 240 - Statistical Methods in Finance
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STATS 240P: Statistical Methods in Finance
3.00 Credits
Stanford University
For SCPD students; see 240. 3 units, Aut (Lai, T)
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STATS 240P - Statistical Methods in Finance
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STATS 241: Statistical Modeling in Financial Markets
3.00 Credits
Stanford University
(SCPD students register for 241P.) Nonparametric regression and yield curve smoothing. Advanced time series modeling and forecasting. Market risk measures. Substantive and empirical modeling approaches in financial markets. Statistical trading strategies. Prerequisite: 240 or equivalent. 3-4 units, Spr (Lai, T)
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STATS 241 - Statistical Modeling in Financial Markets
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STATS 241P: Statistical Modeling in Financial Markets
3.00 Credits
Stanford University
For SCPD students; see 241. 3 units, Spr (Lai, T)
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STATS 241P - Statistical Modeling in Financial Markets
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STATS 243: Introduction to Mathematical Finance
3.00 Credits
Stanford University
Interest rate and discounted value. Financial derivatives, hedging, and risk management. Stochastic models of financial markets, introduction to Ito calculus and stochastic differential equations. Black-Scholes pricing of European options. Optimal stopping and American options. Prerequisites: MATH 53, STATS 116, or equivalents. 3-4 units, Sum (Staff)
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STATS 243 - Introduction to Mathematical Finance
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STATS 250: Mathematical Finance
3.00 Credits
Stanford University
(Same as MATH 238.) Stochastic models of financial markets. Forward and futures contracts. European options and equivalent martingale measures. Hedging strategies and management of risk. Term structure models and interest rate derivatives. Optimal stopping and American options. Corequisites: MATH 236 and 227 or equivalent. 3 units, Win (Papanicolaou, G)
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STATS 250 - Mathematical Finance
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STATS 252: Data Mining and Electronic Business
3.00 Credits
Stanford University
The Internet and related technologies have caused the cost of communication and transactions to plummet, and consequently the amount of potentially relevant data to explode. The underlying principles, statistical issues, and algorithmic approaches to data mining and e-business, with real world examples. 3 units, Spr (Weigend, A)
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STATS 252 - Data Mining and Electronic Business
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