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Titlebook: Applied Quantitative Finance; Wolfgang Karl H?rdle,Cathy Yi-Hsuan Chen,Ludger Ov Textbook 2017Latest edition Springer-Verlag GmbH Germany

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發(fā)表于 2025-3-21 17:47:32 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
期刊全稱Applied Quantitative Finance
影響因子2023Wolfgang Karl H?rdle,Cathy Yi-Hsuan Chen,Ludger Ov
視頻videohttp://file.papertrans.cn/161/160083/160083.mp4
發(fā)行地址Presents the latest developments in risk management; market risk, credit risk and dynamics of risk management.Provides a unique balance between theoretical concepts, computational tools and practical
學(xué)科分類Statistics and Computing
圖書封面Titlebook: Applied Quantitative Finance;  Wolfgang Karl H?rdle,Cathy Yi-Hsuan Chen,Ludger Ov Textbook 2017Latest edition Springer-Verlag GmbH Germany
影響因子.This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula modeling. This third edition is devoted to modern risk analysis based on quantitative methods and textual analytics to meet the current challenges in banking and finance. It includes 14 new contributions and presents a comprehensive, state-of-the-art treatment of cutting-edge methods and topics, such as collateralized debt obligations, the high-frequency analysis of market liquidity, and realized volatility..The book is divided into three parts: Part 1 revisits important market risk issues, while Part 2 introduces novel concepts in credit risk and its management along with updated quantitative methods. The third part discusses the dynamics of risk management and includes risk analysis of energy markets and for cryptocurrencies. Digital assets, such as blockchain-based currencies, have become popular b.ut are theoretically challenging when based on conventional methods. Among others, it introduces a modern text-mining method called dynamic topic modeling in detail and applies it to the message board of Bit
Pindex Textbook 2017Latest edition
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https://doi.org/10.1007/978-1-4020-8213-9te its possible application in risk management. We implement the PIF to the daily probability of default data from 1999 to 2013. The proposed method provides good interpretation of the dynamic structure of 14 economies’ global default probability from pre-Dot Com bubble to post-Sub Prime crisis.
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https://doi.org/10.1007/978-94-015-8664-1roceed to evaluate the statistical significance of the differences in performance of the analysed risk models. We employ a novel methodology for comparing VaR performance allowing us to rank competing models. Our simulation results show that for a significant number of different VaR models there is no statistical difference in the performance.
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Textbook 2017Latest editiontion of volatility and copula modeling. This third edition is devoted to modern risk analysis based on quantitative methods and textual analytics to meet the current challenges in banking and finance. It includes 14 new contributions and presents a comprehensive, state-of-the-art treatment of cuttin
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1431-8784 een theoretical concepts, computational tools and practical .This volume provides practical solutions and introduces recent theoretical developments in risk management, pricing of credit derivatives, quantification of volatility and copula modeling. This third edition is devoted to modern risk analy
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Risk Analysis of Cryptocurrency as an Alternative Asset Classludes that the closer the right tail of wealth distribution approaching the Power-Law model, the more stable the market will be. This result is quite useful for investors to make decisions when investing in cryptocurrencies.
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