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Titlebook: Financial Econometrics, Mathematics and Statistics; Theory, Method and A Cheng-Few Lee,Hong-Yi Chen,John Lee Textbook 2019 Springer Science

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書目名稱Financial Econometrics, Mathematics and Statistics
副標題Theory, Method and A
編輯Cheng-Few Lee,Hong-Yi Chen,John Lee
視頻videohttp://file.papertrans.cn/344/343018/343018.mp4
概述Organizes a dynamic presentation of concepts from C.F. Lee‘s earlier successful handbook ideal for any advanced applied econometrics and statistics course.Covers topics such as heteroskedasticity, reg
圖書封面Titlebook: Financial Econometrics, Mathematics and Statistics; Theory, Method and A Cheng-Few Lee,Hong-Yi Chen,John Lee Textbook 2019 Springer Science
描述.This rigorous textbook introduces graduate students to the principles of econometrics and statistics with a focus on methods and applications in financial research.?.Financial Econometrics, Mathematics, and Statistics.?.introduces tools and methods important for both finance and accounting that assist with asset pricing, corporate finance, options and futures, and conducting financial accounting research.?..Divided into four parts, the text begins with topics related to regression and financial econometrics. Subsequent sections describe time-series analyses; the role of binomial, multi-nomial, and log normal distributions in option pricing models; and the application of statistics analyses to risk management. The real-world applications and problems offer students a unique insight into such topics as heteroskedasticity, regression, simultaneous equation models, panel data analysis, time series analysis, and generalized method of moments.?..Written by leading academics in the quantitative finance field, allows?readers to implement the principles behind financial econometrics and statistics through real-world applications?and problem sets.? This textbook will appeal to a less-served
出版日期Textbook 2019
關(guān)鍵詞Financial Econometrics and Statistics Textbook; Panel Data Analysis; Simultaneous Equation Models; Sing
版次1
doihttps://doi.org/10.1007/978-1-4939-9429-8
isbn_ebook978-1-4939-9429-8
copyrightSpringer Science+Business Media, LLC, part of Springer Nature 2019
The information of publication is updating

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