找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models; Greg N. Gregoriou (Professor of Finance, Research

[复制链接]
查看: 21204|回复: 44
发表于 2025-3-21 19:57:11 | 显示全部楼层 |阅读模式
书目名称Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models
编辑Greg N. Gregoriou (Professor of Finance, Research
视频video
图书封面Titlebook: Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models;  Greg N. Gregoriou (Professor of Finance, Research
描述This book investigates several competing forecasting models for interest rates, financial returns, and realized volatility, addresses the usefulness of nonlinear models for hedging purposes, and proposes new computational techniques to estimate financial processes.
出版日期Book 2011
关键词BAYES; econometrics; forecasting; futures; GARCH; hedging; optimization; regression; volatility
版次1
doihttps://doi.org/10.1057/9780230295223
isbn_softcover978-1-349-32896-3
isbn_ebook978-0-230-29522-3
copyrightPalgrave Macmillan, a division of Macmillan Publishers Limited 2011
The information of publication is updating

书目名称Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models影响因子(影响力)




书目名称Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models影响因子(影响力)学科排名




书目名称Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models网络公开度




书目名称Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models网络公开度学科排名




书目名称Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models被引频次




书目名称Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models被引频次学科排名




书目名称Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models年度引用




书目名称Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models年度引用学科排名




书目名称Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models读者反馈




书目名称Nonlinear Financial Econometrics: Forecasting Models, Computational and Bayesian Models读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:56:18 | 显示全部楼层
Hedging Effectiveness in the Index Futures Market that in most cases the basis will not be continually zero, one can create a hedge in the same proportion (“the hedge ratio”) as the slope coefficient in the regression of the cash on the futures price.
发表于 2025-3-22 03:33:13 | 显示全部楼层
Is There a Relation between Discrete-Time GARCH and Continuous-Time Diffusion Models?pirical regularities of stock prices. First, equity returns are fat-tailed and this leptokurtosis cannot be eliminated by the time-varying variances of GARCH processes because even allowing for changing variances, there remain too many very large events.
发表于 2025-3-22 04:56:52 | 显示全部楼层
The Recursions of Subset VECM/State-Space Models and Their Applications to Nonlinear Relationships oisks of major interruptions to business and economic activity, later in this century and into the next, on a scale similar to those associated with the Second World War and the economic depression of the twentieth century.
发表于 2025-3-22 09:04:10 | 显示全部楼层
发表于 2025-3-22 13:09:56 | 显示全部楼层
发表于 2025-3-22 18:16:04 | 显示全部楼层
The Yield of Constant Maturity 10-Year US Treasury Notese interest in an accurate forecast of the constant maturity yields of 10-year US Treasury notes (T-note yields) is immense.. Hence, it does not surprise that a large body of literature is devoted to forecasting T-note yields.. The existing empirical literature approaches the problem of bond yield de
发表于 2025-3-23 00:25:25 | 显示全部楼层
Estimating the Arbitrage Pricing Theory Factor Sensitivities Using Quantile Regressione portfolios. The idiosyncratic risks that affect asset returns on an individual level cancel out so that only systematic risks affecting all assets in the economy have to be considered. The capital asset pricing model (CAPM) (Sharpe 1964; Lintner 1965; Black 1972) laid the cornerstone for the theor
发表于 2025-3-23 03:18:20 | 显示全部楼层
Financial Risk Forecasting with Non-Stationarityk et al. 1996). Under this framework, it is assumed that asset price changes may not be solely due to new information, as simply described by the random walk model, but are also governed by some underlying dynamics. Such nonlinearities can only be described in higher dimensions, for which the observ
发表于 2025-3-23 09:27:11 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-17 13:11
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表