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Produktbeskrivelse With the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection OLPS has significantly reshaped the financial investment landscape. Online Portfolio Selection: Principles and Algorithms supplies a comprehensive survey of existing OLPS principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment.

天瓏網路書店-Online Portfolio Selection: Principles and Algorithms

The book presents four new algorithms based on machine learning techniques that were designed by the authors, as well as a new back-test system they developed for evaluating trading strategy effectiveness. The book uses simulations with real market data to illustrate the trading strategies in action and to provide readers with the confidence to deploy the strategies themselves.

Online Portfolio Selection via Machine Learning

The book is presented in five sections that: Introduce OLPS and formulate OLPS as a sequential decision taskPresent key OLPS principles, including benchmarks, follow the winner, follow the loser, pattern matching, and meta-learningDetail four innovative OLPS algorithms based on cutting-edge machine learning techniquesProvide a toolbox for evaluating the OLPS algorithms and present empirical studies comparing the proposed algorithms with the state of the artInvestigate possible future directions Complete with a back-test system that uses historical data to evaluate the performance of trading strategies, as well as MATLAB R code for the back-test systems, this book is an ideal resource for graduate students in finance, computer science, and statistics.

It is also suitable for researchers and engineers interested in computational investment. Detaljer ISBN Product format.

Online Portfolio Selection : Principles and Algorithms [Paperback]

Apple Academic Press Inc. Auteurs Over dit boek Artikelen en interviews Recensies.

Samenvatting Rubriek: Financieel management. Lezersrecensies Beoordeel zelf slecht matig voldoende goed zeer goed. Lezersrecensie van 'Online Portfolio Selection' Wat vindt u van dit boek? Algemene beoordeling slecht matig voldoende goed zeer goed. Uw recensie. Bedankt voor uw beoordeling Uw reactie is inmiddels op de website geplaatst en zal door onze redactie beoordeeld worden.

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