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Computational Finance 1999

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ISBN-10: 026251107X

ISBN-13: 9780262511070

Edition: 2000

Authors: Yaser S. Abu-Mostafa, Blake LeBaron, Andrew W. Lo, Andreas S. Weigend

List price: $55.00
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Description:

This work covers the techniques of data mining, knowledge discovery, genetic algorithms, neural networks, bootstrapping, machine learning and Monte Carlo simulation. These methods are applied to a range of problems in finance.
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Book details

List price: $55.00
Copyright year: 2000
Publisher: MIT Press
Publication date: 4/24/2000
Binding: Paperback
Pages: 734
Size: 7.50" wide x 9.00" long x 1.25" tall
Weight: 2.486
Language: English

Blake LeBaron is Assistant Professor of Economics at the University of Wisconsin, Madison.

Andrew W. Lo is the Charles E. And Susan T. Harris Group Professor, professor of finance, and director of the Laboratory for Financial Engineering at the Massachusetts Institute of Technology. He is a research associate of the National Bureau of Economic Research.

Preface
Contributors
Introduction
Importance Sampling and Stratification for Value-at-Risk
Confidence Intervals and Hypothesis Testing for the Sharpe and Treynor Performance Measures: A Bootstrap Approach
Conditional Value at Risk
Advances in Importance Sampling
Arbitrage and the APT - A Note
Bayesian Network Models of Portfolio Risk and Return
Change of Measure in Monte Carlo Integration via Gibbs Sampling with an Application to Stochastic Volatility Models
Comparing Models of Intra-day Seasonal Volatility in the Foreign Exchange Market
A Symbolic Dynamics Approach to Volatility Prediction
Does Volatility Timing Matter?
Goodness of Fit, Stability and Data Mining
A Bayesian Approach to Estimating Mutual Fund Returns
Independent Component Ordering in ICA Analysis of Financial Data
Curved Gaussian Models with Application to Modeling Foreign Exchange Rates
Nonparametric Efficiency Testing of Asian Foreign Exchange Markets
Term Structure of Interactions of Foreign Exchange Rates
Exchange Rates and Fundamentals: Evidence from Out-of-Sample Forecasting Using Neural Networks
Trading Models as Specification Tools
Statistical Arbitrage Models of the FTSE 100
Implementing Trading Strategies for Forecasting Models
Using Nonlinear Neurogenetic Models with Profit Related Objective Functions to Trade the US T-bond Future
Parameter Tuning in Trading Algorithms Using ASTA
Hedge Funds Styles
Optimization of Technical Trading Strategy Using Split Search Genetic Algorithms
Trading Mutual Funds with Piece-wise Constant Models
Minimizing Downside Risk via Stochastic Dynamic Programming
An Optimal Binary Predictor for an Investor in a Futures Market
An Introduction to Risk Neutral Forecasting
Temporal-Difference Learning and Applications in Finance
Technical Trading Creates a Prisoner's Dilemma: Results from an Agent-Based Model
Cycles of Market Stability and Instability Due to Endogenous Use of Technical Trading Rules
Relative Performance of Incentive Mechanisms in Delegated Investments: A Computational Study
Rules Extractions from Banks' Bankrupt Data Using Connectionist and Symbolic Learning Algorithms
Evaluating Bank Lending Policy and Consumer Credit Risk
Loan Duration and Bank Lending Policy
Estimation of Stochastic Volatility Models for the Purpose of Option Pricing
Option Pricing via Genetic Programming
Nonparametric Testing of ARCH for Option Pricing
A Computational Framework for Contingent Claim Pricing and Hedging under Time Dependent Asset Processes
A Framework for Comparative Analysis of Statistical and Machine Learning Methods: An Application to the Black-Scholes Option Pricing Equation
Option Pricing with the Efficient Method of Moments
Option Valuation with the Genetic Programming Approach
Contact Information
Keyword Index