Forecasting Volatility in the Financial Markets 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024


Forecasting Volatility in the Financial Markets

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Stephen Satchell 作者
Butterworth-Heinemann
譯者
2007-2-19 出版日期
432 頁數
GBP 80.00 價格
Hardcover
叢書系列
9780750669429 圖書編碼

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Forecasting Volatility in the Financial Markets 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2024

Forecasting Volatility in the Financial Markets 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2024

Forecasting Volatility in the Financial Markets 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2024



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關於波動率預測的論文集。收集論文的質量總體尚好,但個彆濫竽充數的。

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關於波動率預測的論文集。收集論文的質量總體尚好,但個彆濫竽充數的。

評分

關於波動率預測的論文集。收集論文的質量總體尚好,但個彆濫竽充數的。

評分

關於波動率預測的論文集。收集論文的質量總體尚好,但個彆濫竽充數的。

評分

關於波動率預測的論文集。收集論文的質量總體尚好,但個彆濫竽充數的。

Forecasting Volatility in the Financial Markets 在線電子書 著者簡介


Forecasting Volatility in the Financial Markets 在線電子書 著者簡介


Forecasting Volatility in the Financial Markets 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Forecasting Volatility in the Financial Markets 在線電子書 圖書描述

This new edition of "Forecasting Volatility in the Financial Markets" assumes that the reader has a firm grounding in the key principles and methods of understanding volatility measurement and builds on that knowledge to detail cutting-edge modelling and forecasting techniques. It provides a survey of ways to measure risk and define the different models of volatility and return. Editors John Knight and Stephen Satchell have brought together an impressive array of contributors who present research from their area of specialization related to volatility forecasting. Readers with an understanding of volatility measures and risk management strategies will benefit from this collection of up-to-date chapters on the latest techniques in forecasting volatility.Chapters new to this third edition are: What good is a volatility model? (Engle and Patton); Applications for portfolio variety (Dan diBartolomeo); A comparison of the properties of realized variance for the FTSE 100 and FTSE 250 equity indices (Rob Cornish); Volatility modeling and forecasting in finance (Xiao and Aydemir); And an investigation of the relative performance of GARCH models versus simple rules in forecasting volatility (Thomas A. Silvey). Leading thinkers present newest research on volatility forecasting and international authors cover a broad array of subjects related to volatility forecasting.

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