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OverviewQuantitative Finance with R offers a winning strategy for devising expertly-crafted and workable trading models using the R open source programming language, providing readers with a step-by-step approach to understanding complex quantitative finance problems and building functional computer code. Full Product DetailsAuthor: Harry GeorgakopoulosPublisher: Palgrave Macmillan Imprint: Palgrave Macmillan Dimensions: Width: 15.50cm , Height: 2.10cm , Length: 23.50cm Weight: 0.595kg ISBN: 9781137354075ISBN 10: 1137354070 Pages: 272 Publication Date: 20 January 2015 Audience: Professional and scholarly , College/higher education , Professional & Vocational , Tertiary & Higher Education Format: Hardback Publisher's Status: Active Availability: In Print This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of Contents1 An Overview 2 Tools of the Trade 3 Working with Data 4 Basic Statistics and Probability 5 Intermediate Statistics and Probability 6 Spreads, Betas and Risk 7 Backtesting with Quantstrat 8 High-Frequency Data 9 Options 10 OptimizationReviews'Through the lens of an expert practitioner, Harry provides a treatise on how to develop a robust quantitative trading strategy using 'R'. This is the first book written that has covered the ability of 'R' software to provide the infrastructure for an algorithmic trading system. Harry has written an instant classic that the professional and novice will find inherently useful. There is an inordinate amount of working 'R' code that the reader can deploy instantly or lever to develop more exotic functions and scripts. With this book, there is no need for expensive software development or a MATLAB license. Download the R software and you can begin building profitable strategies immediately. Harry has spawned an entire new generation of hedge fund managers with this seminal work.' - Ed Zarek, Quantitative Options Trader, Chicago Volatility Group 'This is a superb text for aspiring quantitative traders. Financial math and computing concepts are introduced and developed simultaneously. The text guides readers through a set of R programming exercises that culminate in several data-based trading strategies. The conversational writing style and practitioner perspective will resonate with many readers.' - Steven Todd, Associate Dean for Faculty and Research, Former Finance Department Chairperson, and Associate Professor Finance, Quinlan School of Business, Loyola University Chicago 'Quantitative Trading with R translates complicated topics into straightforward concepts. I'm using it as a reference and Belvedere has already incorporated some of the material into our classes.' - Thomas Hutchinson, Managing Partner, Belvedere Trading, LLC Through the lens of an expert practitioner, Harry provides a treatise on how to develop a robust quantitative trading strategy using 'R'. This is the first book written that has covered the ability of 'R' software to provide the infrastructure for an algorithmic trading system. Harry has written an instant classic that the professional and novice will find inherently useful. There is an inordinate amount of working 'R' code that the reader can deploy instantly or lever to develop more exotic functions and scripts. With this book, there is no need for expensive software development or a MATLAB license. Download the R software and you can begin building profitable strategies immediately. Harry has spawned an entire new generation of hedge fund managers with this seminal work. - Ed Zarek, Quantitative Options Trader, Chicago Volatility Group This is a superb text for aspiring quantitative traders. Financial math and computing concepts are introduced and developed simultaneously. The text guides readers through a set of R programming exercises that culminate in several data-based trading strategies. The conversational writing style and practitioner perspective will resonate with many readers. - Steven Todd, Associate Dean for Faculty and Research, Former Finance Department Chairperson, and Associate Professor Finance, Quinlan School of Business, Loyola University Chicago Quantitative Trading with R translates complicated topics into straightforward concepts. I'm using it as a reference and Belvedere has already incorporated some of the material into our classes. - Thomas Hutchinson, Managing Partner, Belvedere Trading, LLC Author InformationHarry Georgakopoulos is the Head of Digital Assets at Blue Fire Capital, LLC. Harry started his career as an Electrical Engineer at Motorola and eventually found himself developing and trading high frequency strategies in equities, futures, options and digital (crypto) assets. He holds a Master's degree in Electrical Engineering from NTU, as well as, a Master's degree in Financial Mathematics from The University of Chicago. Harry has also been an adjunct lecturer in the Financial Risk Management program for more than 5 years at Loyola University in Chicago. Tab Content 6Author Website:Countries AvailableAll regions |