[Télécharger] Python for Finance: Apply powerful finance models and quantitative analysis with Python, 2nd Edition de Yuxing Yan En Ligne
Télécharger Python for Finance: Apply powerful finance models and quantitative analysis with Python, 2nd Edition de Yuxing Yan Livres Pdf Epub
Télécharger "Python for Finance: Apply powerful finance models and quantitative analysis with Python, 2nd Edition" de Yuxing Yan Livres En Ligne
Auteur : Yuxing Yan
Catégorie : Livres anglais et étrangers,Computers & Internet,Computer Science
Broché : * pages
Éditeur : *
Langue : Français, Anglais
Learn and implement various Quantitative Finance concepts using the popular Python librariesKey FeaturesUnderstand the fundamentals of Python data structures and work with time-series dataImplement key concepts in quantitative finance using popular Python libraries such as NumPy, SciPy, and matplotlibA step-by-step tutorial packed with many Python programs that will help you learn how to apply Python to financeBook DescriptionThis 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.What you will learnBecome acquainted with Python in the first two chaptersRun CAPM, Fama-French 3-factor, and Fama-French-Carhart 4-factor modelsLearn how to price a call, put, and several exotic optionsUnderstand Monte Carlo simulation, how to write a Python program to replicate the Black-Scholes-Merton options model, and how to price a few exotic optionsUnderstand the concept of volatility and how to test the hypothesis that volatility changes over the yearsUnderstand the ARCH and GARCH processes and how to write related Python programsTable of ContentsPython BasicsIntroduction to Python ModulesTime Value of MoneySources of DataBond and Stock ValuationCapital Asset Pricing ModelMultifactor Models and Performance MeasuresTime-Series AnalysisPortfolio TheoryOptions and FuturesValue at RiskMonte Carlo SimulationCredit Risk AnalysisExotic OptionsVolatility, Implied Volatility, ARCH, and GARCH
Télécharger Python for Finance: Apply powerful finance models and quantitative analysis with Python, 2nd Edition de Yuxing Yan Livres En Ligne
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