Sprache: Englisch
Verlag: Packt Publishing, Limited, 2017
ISBN 10: 1787125696 ISBN 13: 9781787125698
Anbieter: Better World Books: West, Reno, NV, USA
Zustand: Good. 2nd Revised edition. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
Sprache: Englisch
Verlag: Packt Publishing (edition 2nd ed.), 2017
ISBN 10: 1787125696 ISBN 13: 9781787125698
Anbieter: BooksRun, Philadelphia, PA, USA
Paperback. Zustand: Fair. 2nd ed. The item might be beaten up but readable. May contain markings or highlighting, as well as stains, bent corners, or any other major defect, but the text is not obscured in any way.
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paperback. Zustand: Good. 2nd Edition. Ships in a BOX from Central Missouri! May not include working access code. Will not include dust jacket. Has used sticker(s) and some writing or highlighting. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
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paperback. Zustand: New. 2nd Edition. Ships in a BOX from Central Missouri! UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes).
paperback. Zustand: Used - Good. Some light wear. Good copy.
Zustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
Zustand: New.
Sprache: Englisch
Verlag: Packt Publishing 4/27/2014, 2014
ISBN 10: 1783284374 ISBN 13: 9781783284375
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Paperback or Softback. Zustand: New. Python for Finance. Book.
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Zustand: New.
Zustand: New.
Sprache: Englisch
Verlag: Packt Publishing 6/30/2017, 2017
ISBN 10: 1787125696 ISBN 13: 9781787125698
Anbieter: BargainBookStores, Grand Rapids, MI, USA
Paperback or Softback. Zustand: New. Python for Finance. Book.
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Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
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Sprache: Englisch
Verlag: Packt Publishing Limited, GB, 2023
ISBN 10: 1787125696 ISBN 13: 9781787125698
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
EUR 70,00
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In den WarenkorbDigital. Zustand: New. Learn and implement various Quantitative Finance concepts using the popular Python librariesAbout This Book. Understand the fundamentals of Python data structures and work with time-series data. Implement key concepts in quantitative finance using popular Python libraries such as NumPy, SciPy, and matplotlib. A step-by-step tutorial packed with many Python programs that will help you learn how to apply Python to financeWho This Book Is ForThis book assumes that the readers have some basic knowledge related to Python. However, he/she has no knowledge of quantitative finance. In addition, he/she has no knowledge about financial data.What You Will Learn. Become acquainted with Python in the first two chapters. Run CAPM, Fama-French 3-factor, and Fama-French-Carhart 4-factor models. Learn how to price a call, put, and several exotic options. Understand Monte Carlo simulation, how to write a Python program to replicate the Black-Scholes-Merton options model, and how to price a few exotic options. Understand the concept of volatility and how to test the hypothesis that volatility changes over the years. Understand the ARCH and GARCH processes and how to write related Python programsIn DetailThis book uses Python as its computational tool. Since Python is free, any school or organization can download and use it.This book is organized according to various finance subjects. In other words, the first edition focuses more on Python, while the second edition is truly trying to apply Python to finance.The book starts by explaining topics exclusively related to Python. Then we deal with critical parts of Python, explaining concepts such as time value of money stock and bond evaluations, capital asset pricing model, multi-factor models, time series analysis, portfolio theory, options and futures.This book will help us to learn or review the basics of quantitative finance and apply Python to solve various problems, such as estimating IBM's market risk, running a Fama-French 3-factor, 5-factor, or Fama-French-Carhart 4 factor model, estimating the VaR of a 5-stock portfolio, estimating the optimal portfolio, and constructing the efficient frontier for a 20-stock portfolio with real-world stock, and with Monte Carlo Simulation. Later, we will also learn how to replicate the famous Black-Scholes-Merton option model and how to price exotic options such as the average price call option.Style and approachThis book takes a step-by-step approach in explaining the libraries and modules in Python, and how they can be used to implement various aspects of quantitative finance. Each concept is explained in depth and supplemented with code examples for better understanding.
Paperback Apr 25, 2014. Zustand: gebraucht; wie neu.
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In den WarenkorbZustand: good. May show signs of wear, highlighting, writing, and previous use. This item may be a former library book with typical markings. No guarantee on products that contain supplements Your satisfaction is 100% guaranteed. Twenty-five year bookseller with shipments to over fifty million happy customers.
EUR 55,44
Anzahl: Mehr als 20 verfügbar
In den WarenkorbZustand: New. Klappentext Explores the basics of programming in Python, [providing] a tutorial that will teach you . how to run various statistic tests. . You will also learn how to estimate illiquidity, Amihud (2002), liquidity measure, Pastor an.