{"product_id":"online-portfolio-selection-9781482249637","title":"Online Portfolio Selection","description":"\u003cb\u003eBook Synopsis\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eWith the aim to sequentially determine optimal allocations across a set of assets, Online Portfolio Selection (OLPS) has significantly reshaped the financial investment landscape. \u003cstrong\u003eOnline Portfolio Selection: Principles and Algorithms \u003c\/strong\u003esupplies a comprehensive survey of existing OLPS principles and presents a collection of innovative strategies that leverage machine learning techniques for financial investment.\u003cbr\u003e\u003cbr\u003eThe 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. The book is presented in five sections that: \u003c\/p\u003e\u003col\u003e\n\u003cp\u003e\u003c\/p\u003e\n\u003cli\u003eIntroduce OLPS and formulate OLPS as a sequential decision task\u003c\/li\u003e\n\u003cli\u003ePresent key OLPS principles, including benchmar\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTrade Review\u003c\/b\u003e\u003cbr\u003e\u003cp\u003e\"Ever since access to financial data, storage capacity, and computing power stopped acting as barriers to entry, institutional-quality asset allocation solutions have become widely available to individual investors and financial advisors. Coupled with easy access to inexpensive building blocks like Exchange-Traded Funds, this dynamic has brought the spectre of digital disruption to the asset management industry. In \u003cstrong\u003eOnline Portfolio Selection\u003c\/strong\u003e, Li and Hoi do an excellent job explaining what’s actually under the hood of the \"robo-advisor\" applications. Unlike many books on related financial technology subjects, they don’t leave the reader with only high-level rhetoric on machine learning and financial technology, but instead roll up their sleeves and delve into the nuts and bolts of the various algorithms that power this irreversible trend. A must-read.\"\u003cbr\u003e—Guy Weyns, PhD., Partner, NGEN Capital, London\u003cbr\u003e\u003cbr\u003e\"This is an excellent book showing a comprehensive menu of state-of-the-art online machine-learning algorithms in online portfolio selection and trading. It explains clearly how different algorithms can perform based on data-driven patterns that are exploited using intensive computational methods. It is a must-read for serious quantitative traders.\" \u003cbr\u003eLim Kian Guan, PhD., OUB Chair Professor of Quantitative Finance, Singapore Management University\u003c\/p\u003e\n\u003cbr\u003e\u003cbr\u003e\u003cb\u003eTable of Contents\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eIntroduction. Principles. Algorithms. Empirical Studies. Conclusion.\u003c\/p\u003e\n\u003c\/li\u003e\n\u003c\/ol\u003e","brand":"Taylor \u0026 Francis Inc","offers":[{"title":"Default Title","offer_id":50578093998423,"sku":"9781482249637","price":153.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/1739\/5799\/files\/9781482249637.jpg?v=1746097869","url":"https:\/\/bookcurl.com\/products\/online-portfolio-selection-9781482249637","provider":"Book Curl","version":"1.0","type":"link"}