Isbn: 9781783284375 - python for finance (22 risultati)

Condizione: very_good.

Paperback. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Condizione: acceptable. Item has staining. Cover is worn. Paperback.

Condizione: Good. 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.

Condizione: New.

Paperback or Softback. Condizione: New. Python for Finance. Book.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Condizione: New. pp. 408.

Digital. Condizione: New. Key FeaturesBook DescriptionA 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.What you will learnBuild a financial calculator based on PythonLearn how to price various types of options such as European, American, average, lookback, and barrier optionsWrite Python programs to download data from Yahoo! FinanceEstimate returns and convert daily returns into monthly or annual returnsForm an nstock portfolio and estimate its variancecovariance matrixEstimate VaR (Value at Risk) for a stock or portfolioRun CAPM (Capital Asset Pricing Model) and the FamaFrench 3factor modelLearn how to optimize a portfolio and draw an efficient frontierConduct various statistic tests such as Ttests, Ftests, and normality testsWho this book is for.…

Condizione: New. pp. 408 3:B&W 7.5 x 9.25 in or 235 x 191 mm Perfect Bound on White w/Gloss Lam.

Condizione: New. In English.

Paperback. Condizione: New.

Condizione: New.

Condizione: As New. Unread book in perfect condition.

Digital. Condizione: New. Key FeaturesBook DescriptionA 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.What you will learnBuild a financial calculator based on PythonLearn how to price various types of options such as European, American, average, lookback, and barrier optionsWrite Python programs to download data from Yahoo! FinanceEstimate returns and convert daily returns into monthly or annual returnsForm an nstock portfolio and estimate its variancecovariance matrixEstimate VaR (Value at Risk) for a stock or portfolioRun CAPM (Capital Asset Pricing Model) and the FamaFrench 3factor modelLearn how to optimize a portfolio and draw an efficient frontierConduct various statistic tests such as Ttests, Ftests, and normality testsWho this book is for.…

PAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Condizione: New. PRINT ON DEMAND pp. 408.

Paperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.

Taschenbuch. Condizione: Neu. Python for Finance | Yuxing Yan | Taschenbuch | Kartoniert / Broschiert | Englisch | 2014 | Packt Publishing | EAN 9781783284375 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.