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Quantitative Trading with R : Understanding Mathematical and Computational Tools from a Quant's Perspective / Harry Georgakopoulos.

Por: Editor: New York : Palgrave Macmillan US, 2015Fecha de copyright: ©2015Descripción: 1 online resource (281 pages)Tipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9781137437471
Tema(s): Género/Forma: Formatos físicos adicionales: Print version:: Quantitative Trading with RClasificación CDD:
  • 332.645
Clasificación LoC:
  • HG4661  .G46 2015
Contenidos:
1 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 Optimization -- 11 Speed, Testing, and Reporting -- Notes -- References -- Index.
Resumen: Quantitative 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.
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Libro electrónico Biblioteca de Mayagüez Acceso en línea HG4661 .G46 2015 (Navegar estantería(Abre debajo)) Ebook c. 1 Disponible 50000003290425
Libro electrónico Biblioteca Encarnación Valdés Acceso en línea 332.645 (Navegar estantería(Abre debajo)) Disponible EBC1953084
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Descripciones mejoradas de Syndetics:

Quantitative 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.

Includes bibliographical references and index.

1 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 Optimization -- 11 Speed, Testing, and Reporting -- Notes -- References -- Index.

Quantitative 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.

Description based on publisher supplied metadata and other sources.

Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2021. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.

Notas de autor provistas por Syndetics

Harry 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.
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