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Titlebook: Equity Derivatives and Hybrids; Markets, Models and Oliver Brockhaus Book 2016 The Editor(s) (if applicable) and The Author(s) 2016 equiti

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發(fā)表于 2025-3-21 19:47:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Equity Derivatives and Hybrids
副標(biāo)題Markets, Models and
編輯Oliver Brockhaus
視頻videohttp://file.papertrans.cn/314/313512/313512.mp4
叢書(shū)名稱Applied Quantitative Finance
圖書(shū)封面Titlebook: Equity Derivatives and Hybrids; Markets, Models and  Oliver Brockhaus Book 2016 The Editor(s) (if applicable) and The Author(s) 2016 equiti
描述Since the development of the Black-Scholes model, research on equity derivatives has evolved rapidly to the point where it is now difficult to cut through the myriad of literature to find relevant material. Written by a quant with many years of experience in the field this book provides an up-to-date account of equity and equity-hybrid (equity-rates, equity-credit, equity-foreign exchange) derivatives modeling from a practitioner‘s perspective. The content reflects the requirements of practitioners in financial institutions: Quants will find a survey of state-of-the-art models and guidance on how to efficiently implement them with regards to market data representation, calibration, and sensitivity computation. Traders and structurers will learn about structured products, selection of the most appropriate models, as well as efficient hedging methods while risk managers will better understand market, credit, and model risk and find valuable information on advanced correlation concepts.Equity Derivatives and Hybrids provides exhaustive coverage of both market standard and new approaches, including: -Empirical properties of stock returns including autocorrelation and jumps-Dividend dis
出版日期Book 2016
關(guān)鍵詞equities; equity derivatives; hybrid derivatives; financial derivatives; derivatives; financial mathemati
版次1
doihttps://doi.org/10.1057/9781137349491
isbn_ebook978-1-137-34949-1Series ISSN 2947-700X Series E-ISSN 2947-7018
issn_series 2947-700X
copyrightThe Editor(s) (if applicable) and The Author(s) 2016
The information of publication is updating

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Applying Molecular and Materials Modelingng the use of single curve modelling has become more complicated since effects such as liquidity, funding costs, credit risk and collateral agreements can no longer be ignored. However, arguably, this complicates the nature of fixed income underlyings rather than creates new ones.
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Serhat Yarat,Sibel Senan,Zeynep Ormanity returns or through a combination of both. Additionally, the volatility process and the return distributions may exhibit jumps. Stochastic volatility models are incomplete and not Markovian in the filtration generated by the stock process. Calibration of stochastic volatility (or indeed any) model to the Vanilla market has an impact on hedging.
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Empirical Evidence,ttempting to model the underlying for the risk management of derivatives. Derivatives often depend on one or more closing prices within a time period ranging from few months up to several years. Thus the focus in this chapter is a time series of closing prices, although the methods can also be applied to higher frequency data.
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