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Econometric methods and their applications in finance, macro and related fields / K. Hadri, William Mikhail (editor)
Hackensack, New Jersey, : World Scientific, 2014
ix, 605 pages. ; 25 cm.
Ký hiệu phân loại (DDC): 332
The volume aims at providing an outlet for some of the best papers presented at the 15th Annual Conference of the African Econometric Society, which is one of the "chapters" of the International Econometric Society. Many of these papers represent the state of the art in financial econometrics and applied econometric modeling, and some also provide useful simulations that shed light on the models' ability to generate meaningful scenarios for forecasting and policy analysis
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Python for finance : mastering data-driven finance / Yves J. Hilpisch
Sebastopol, CA : O'Reilly Media, 2019
714 pages. : illustrations ; 24 cm.
Ký hiệu phân loại (DDC): 332.0285
Python has become the programming language of choice for data-driven and AI-first finance. Some of the largest investment banks and hedge funds now use Python and its ecosystem for building core trading and risk management systems. In the second edition of this guide, Yves Hilpisch shows developers and quantitative analysts how to use Python packages and tools for financial data science, algorithmic trading, and computational finance
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