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: Operations Research Models in Quantitative Finance; Proceedings of the X Rita L. D’Ecclesia,Stavros A. Zenios Conference proceedings 1994 P

[复制链接]
查看: 18791|回复: 48
发表于 2025-3-21 19:41:40 | 显示全部楼层 |阅读模式
书目名称Operations Research Models in Quantitative Finance
副标题Proceedings of the X
编辑Rita L. D’Ecclesia,Stavros A. Zenios
视频video
丛书名称Contributions to Management Science
图书封面Titlebook: Operations Research Models in Quantitative Finance; Proceedings of the X Rita L. D’Ecclesia,Stavros A. Zenios Conference proceedings 1994 P
描述The articles included in the volume cover a range of diverse topics linked by a common theme: the use of formal modelling techniques to promote better understanding of financial markets and improve management of financial operations..Apart from a theoretical discussion, most of the papers model validation or verification using market data. This collection of articles sets the framework for other studies that could link theory and practice.
出版日期Conference proceedings 1994
关键词Finance; Finanzierungstheorie; Investment; Operations Research; Option Pricing; Optionspreistheorie; Portf
版次1
doihttps://doi.org/10.1007/978-3-642-46957-2
isbn_softcover978-3-7908-0803-2
isbn_ebook978-3-642-46957-2Series ISSN 1431-1941 Series E-ISSN 2197-716X
issn_series 1431-1941
copyrightPhysica-Verlag Heidelberg 1994
The information of publication is updating

书目名称Operations Research Models in Quantitative Finance影响因子(影响力)




书目名称Operations Research Models in Quantitative Finance影响因子(影响力)学科排名




书目名称Operations Research Models in Quantitative Finance网络公开度




书目名称Operations Research Models in Quantitative Finance网络公开度学科排名




书目名称Operations Research Models in Quantitative Finance被引频次




书目名称Operations Research Models in Quantitative Finance被引频次学科排名




书目名称Operations Research Models in Quantitative Finance年度引用




书目名称Operations Research Models in Quantitative Finance年度引用学科排名




书目名称Operations Research Models in Quantitative Finance读者反馈




书目名称Operations Research Models in Quantitative Finance读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

1票 100.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:32:07 | 显示全部楼层
Financial Regulation and Multi-tier Financial Intermediation Systemsiers are characterised by distinct financial products specialization and by different deposit guaranty systems. The resulting system is very robust and minimizes the possible financial burden on the tax payer: it may perfectly fit to the needs of transitional socialist economies, which are character
发表于 2025-3-22 00:43:51 | 显示全部楼层
发表于 2025-3-22 07:38:20 | 显示全部楼层
发表于 2025-3-22 11:02:52 | 显示全部楼层
发表于 2025-3-22 13:41:20 | 显示全部楼层
发表于 2025-3-22 17:56:40 | 显示全部楼层
Stochastic Programming Models for Portfolio Optimization with Mortgage Backed Securities: Comprehensy. The specific problem is to fund a known liability with a portfolio of mortgage-backed securities in an uncertain interest-rate environment, but the approach considered extends easily to include other fixed-income investments and other types of uncertainty. The mathematical models are multi-stage
发表于 2025-3-22 23:12:22 | 显示全部楼层
发表于 2025-3-23 02:12:19 | 显示全部楼层
Stock Returns: An Analysis of the Italian Market with GARCH Modelsuch volatility changes, models with heteroscedastic conditional variance, known as ARCH and GARCH models, have been introduced. In this paper four Italian Stock Market series are analyzed: the excess returns of the COMIT index and three different stock excess returns of leading companies in differen
发表于 2025-3-23 08:26:53 | 显示全部楼层
Mean Reversion at The Dutch Stock Exchange?fferent return horizons are confronted with simulated probability distributions. Three different simulation procedures are used: randomization, bootstrap and drawings from a random walk process..The empirical results show significant mean aversion in monthly stock returns. This indicates that during
 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, 2025-5-26 02:19
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