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Titlebook: Handbook of Financial Econometrics and Statistics; Cheng-Few Lee,John C. Lee Reference work 2015 Springer Science+Business Media New York

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发表于 2025-3-21 20:06:12 | 显示全部楼层 |阅读模式
书目名称Handbook of Financial Econometrics and Statistics
编辑Cheng-Few Lee,John C. Lee
视频videohttp://file.papertrans.cn/422/421322/421322.mp4
概述Most comprehensive resource on the application of econometrics and statistics to finance to date - including theories, models and tools, and practical applications.Features a variety of elements, incl
图书封面Titlebook: Handbook of Financial Econometrics and Statistics;  Cheng-Few Lee,John C. Lee Reference work 2015 Springer Science+Business Media New York
描述​The Handbook of Financial Econometrics and Statistics provides, in four volumes and over 100 chapters, a comprehensive overview of the primary methodologies in econometrics and statistics as applied to financial research. Including overviews of key concepts by the editors and in-depth contributions from leading scholars around the world, the Handbook is the definitive resource for both classic and cutting-edge theories, policies, and analytical techniques in the field. Volume 1 (Parts I and II) covers all of the essential theoretical and empirical approaches. Volumes 2, 3, and 4 feature contributed entries that showcase the application of financial econometrics and statistics to such topics as asset pricing, investment and portfolio research, option pricing, mutual funds, and financial accounting research. Throughout, the Handbook offers illustrative case examples and applications, worked equations, and extensive references, and includes both subject and author indices.​
出版日期Reference work 2015
关键词Asset pricing; Corporate finance; Econometrics; Financial accounting; Financial institutions; Investment
版次1
doihttps://doi.org/10.1007/978-1-4614-7750-1
isbn_ebook978-1-4614-7750-1
copyrightSpringer Science+Business Media New York 2015
The information of publication is updating

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https://doi.org/10.1007/978-3-322-86459-8 empirical findings suggest that portfolios using time-varying copulas, particularly the Clayton dependence, outperform those constructed using Pearson correlations. The above results still hold under different weight updating strategies and portfolio rebalancing frequencies.
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Motivations for Issuing Putable Debt: An Empirical Analysis, issuing European putable bonds as helping mitigate security mispricing. Our study is an application of important statistical methods in corporate finance, namely, . and the use of general method of moments for cross-sectional regressions.
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Can Time-Varying Copulas Improve the Mean-Variance Portfolio?, empirical findings suggest that portfolios using time-varying copulas, particularly the Clayton dependence, outperform those constructed using Pearson correlations. The above results still hold under different weight updating strategies and portfolio rebalancing frequencies.
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Reference work 2015ologies in econometrics and statistics as applied to financial research. Including overviews of key concepts by the editors and in-depth contributions from leading scholars around the world, the Handbook is the definitive resource for both classic and cutting-edge theories, policies, and analytical
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Methods of Denoising Financial Data,nt decomposition of the systematic pattern (the trend) and noises of financial data will lead to erroneous conclusions since irregularities and roughness of the financial data make the application of traditional methods difficult..In this chapter, we provide a review to discuss some methods applied for denoising analysis of financial data.
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