Python for finance

Python for finance

by Hilpisch, Yves

Type Book
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La 4e de couverture indique : "The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develo…

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Title Statements

  • Full title :Python for finance / Yves Hilpisch.

Summary

La 4e de couverture indique : "The financial industry has adopted Python at a tremendous rate recently, with some of the largest investment banks and hedge funds using it to build core trading and risk management systems. This hands-on guide helps both developers and quantitative analysts get started with Python, and guides you through the most important aspects of using Python for quantitative finance. Using practical examples through the book, author Yves Hilpisch also shows you how to develop a full-fledged framework for Monte Carlo simulation-based derivatives and risk analytics, based on a large, realistic case study."

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Edition Statements

  • Publication Date:2015.

Publication Statements

  • Publisher(s):O'Reilly Media
  • Place of Publication:Sebastopol, CA
  • Language:eng
  • Publication Date:2015.

The Physical Object

  • Description:1 vol. (XV-586 p.) : : couv. ill. ; : 23 cm.

Edition Identifiers

  • ISBN:9781491945285, 1491945281
  • oclc:ocn922580680
  • LC Classification:HG176.5
  • Dewey Decimal:005.13/3

Table of Contents

Preface -- Part I. Python and finance. Why Python for finance? ; Infrastructure and tools ; Introductory examples -- Part II. Financial analytics and development. Data types and structures ; Data visualization ; Financial time series ; Input/output operations ; Performance Python ; Mathematical tools ; Stochastics ; Statistics ; Excel integration ; Object orientation and graphical user interfaces ; Web integration -- Part III. Derivatives analytics library. Valuation framework ; Simulation of financial models ; Derivatives valuation ; Portfolio valuation ; Volatility options -- A. Selected best practices -- B. Call option class -- C. Dates and times.

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Subjects

Analyse des données Finance -- Statistical methods Finances Finances -- Méthodes statistiques Financial engineering -- Data processing Ingénierie financière -- Informatique Langages de programmation programming languages Programming languages (Electronic compu… Python (Computer program language) Python (Langage de programmation)

Writers

Hilpisch, Yves

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