A 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.
"synopsis" may belong to another edition of this title.
Since he graduated from McGill University with a Ph.D. in Finance, Dr. Yuxing Yan has been teaching various Finance courses, such as Option Theory, Financial Modeling, Portfolio Theory, Corporate Finance, and Introduction to Financial Databases to both undergraduate and graduate students at seven different universities: two Canadian universities, one Singaporean university, and four American universities.
Dr. Yan has also been active doing research, and his work has been published in numerous publications including the Journal of Accounting and Finance, Journal of Banking and Finance, Journal of Empirical Finance, Real Estate Review, Pacific Basin Finance Journal, Applied Financial Economics, and Annals of Operations Research. His research areas include investment, market microstructure, and open source finance.
He is an expert on SAS, R, Matlab, C, and Python. He also worked as a technical director at Wharton Research Data Services (WRDS) for eight years. At WRDS, he debugged over several hundred programs for WRDS users. Recently, he introduced R to his Financial Modeling and Quantitative Financial Analysis courses. He has just finished the first draft of a textbook titled Financial Modeling using R, which is based on his teaching notes.
In addition, he is an expert on financial data. When teaching at NTU in Singapore, he offered a course called Introduction to Financial Databases to doctoral students. When working at WRDS, he answered thousands of questions related to financial databases and helped update CRSP, Compustat, IBES, and TAQ (NYSE high-frequency database) several times. In 2007, together with S.W. Zhu, he published a book titled Financial Databases.
"About this title" may belong to another edition of this title.
Seller: BooksRun, Philadelphia, PA, U.S.A.
Paperback. Condition: Very Good. Illustrated. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting. Seller Inventory # 1783284374-11-1
Seller: Bay State Book Company, North Smithfield, RI, U.S.A.
Condition: very_good. Seller Inventory # BSM.1CO9C
Seller: Coas Books, Las Cruces, NM, U.S.A.
Condition: acceptable. Item has staining. Cover is worn. Paperback. Seller Inventory # 55GSJ1001COD_ns
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less. Seller Inventory # G1783284374I4N00
Seller: Better World Books Ltd, Dunfermline, United Kingdom
Condition: 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. Seller Inventory # 67566566-20
Quantity: 1 available
Seller: GreatBookPrices, Columbia, MD, U.S.A.
Condition: New. Seller Inventory # 21301678-n
Seller: BargainBookStores, Grand Rapids, MI, U.S.A.
Paperback or Softback. Condition: New. Python for Finance. Book. Seller Inventory # BBS-9781783284375
Seller: California Books, Miami, FL, U.S.A.
Condition: New. Seller Inventory # I-9781783284375
Seller: PBShop.store UK, Fairford, GLOS, United Kingdom
PAP. Condition: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781783284375
Quantity: Over 20 available
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Digital. Condition: 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. Seller Inventory # LU-9781783284375
Quantity: Over 20 available