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\u003ch4\u003eBook Description\u003c/h4\u003eA hands-on guide with easy-to-follow examples to help you learn about option theory, quantitative finance, financial modeling, and time series using Python. Python for Finance is perfect for graduate students, practitioners, and application developers who wish to learn how to utilize Python to handle their financial needs. Basic knowledge of Python will be helpful but knowledge of programming is necessary.\u003ch4\u003eWhat you will learn\u003c/h4\u003e\u003cul\u003e\u003cli\u003eBuild a financial calculator based on Python\u003c/li\u003e\u003cli\u003eLearn how to price various types of options such as European, American, average, lookback, and barrier options\u003c/li\u003e\u003cli\u003eWrite Python programs to download data from Yahoo! Finance\u003c/li\u003e\u003cli\u003eEstimate returns and convert daily returns into monthly or annual returns\u003c/li\u003e\u003cli\u003eForm an nstock portfolio and estimate its variancecovariance matrix\u003c/li\u003e\u003cli\u003eEstimate VaR (Value at Risk) for a stock or portfolio\u003c/li\u003e\u003cli\u003eRun CAPM (Capital Asset Pricing Model) and the FamaFrench 3factor model\u003c/li\u003e\u003cli\u003eLearn how to optimize a portfolio and draw an efficient frontier\u003c/li\u003e\u003cli\u003eConduct various statistic tests such as Ttests, Ftests, and normality tests\u003c/li\u003e\u003c/ul\u003e\u003ch4\u003eWho this book is for\u003c/h4\u003e |
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