Machine Learning for Financial Engineering is popular PDF and ePub book, written by György Ottucsák in 2012, it is a fantastic choice for those who relish reading online the Business & Economics genre. Let's immerse ourselves in this engaging Business & Economics book by exploring the summary and details provided below. Remember, Machine Learning for Financial Engineering can be Read Online from any device for your convenience.
Machine Learning for Financial Engineering Book PDF Summary
Preface v 1 On the History of the Growth-Optimal Portfolio M.M. Christensen 1 2 Empirical Log-Optimal Portfolio Selections: A Survey L. Györfi Gy. Ottucsáak A. Urbán 81 3 Log-Optimal Portfolio-Selection Strategies with Proportional Transaction Costs L. Györfi H. Walk 119 4 Growth-Optimal Portfoho Selection with Short Selling and Leverage M. Horváth A. Urbán 153 5 Nonparametric Sequential Prediction of Stationary Time Series L. Györfi Gy. Ottucsák 179 6 Empirical Pricing American Put Options L. Györfi A. Telcs 227 Index 249.
Detail Book of Machine Learning for Financial Engineering PDF
- Author : György Ottucsák
- Release : 28 September 2024
- Publisher : World Scientific
- ISBN : 9781848168138
- Genre : Business & Economics
- Total Page : 261 pages
- Language : English
- PDF File Size : 14,8 Mb
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