Handbook of Financial Econometrics, Mathematics, Statistics, and Machine Learning:In 4 Volumes

金融计量经济学,数学,统计和机器学习手册(4卷集)

数量经济学

原   价:
21196.00
售   价:
15897.00
发货周期:预计3-5周发货
作      者
出  版 社
出版时间
2020年08月03日
装      帧
精装
ISBN
9789811202384
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页      码
5056 pp
语      种
英文
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库存 30 本
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图书简介
This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts. In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others. In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook. Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience. Key Features: o A likely first attempt to combine the applications of econometrics, mathematics, statistics, and machine learning in finance research for academics and professionals o Contributions from well-known authors including Wayne Ferson, Cheng Few Lee, Yangru Wu, Ivan Brick, Darius Palia, Horng-Shing Lu, Yong Shi, Son-Nan Chen, T Robert Yu, Chunchi Wu and William H Greene
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