首页> 外文学位 >Essays on tail behavior and extreme dependence patterns in East Asian financial markets.
【24h】

Essays on tail behavior and extreme dependence patterns in East Asian financial markets.

机译:关于东亚金融市场尾巴行为和极端依赖模式的论文。

获取原文
获取原文并翻译 | 示例

摘要

This dissertation comprises of three essays organized into three separate chapters on tail behavior and extreme dependence patterns, with each chapter focusing on a specific aspect of the financial markets in several East Asian countries. In chapter one, "Tail Behavior in East Asian Stock Index Returns and Foreign Exchange Rate Movements", I analyze the tail behavior of the daily stock index returns and foreign exchange rate movements of six East Asian economies: Hong Kong, Indonesia, South Korea, Malaysia, Singapore, and Taiwan. I use extreme value theory (EVT), in particular, the generalized Pareto distribution (GPD), to understand the probability of extreme events and estimate the level of fatness in the tails of stock index returns as well as foreign exchange rate returns. Empirically, I find that, whether stock index returns and currency movements of a country have fatter left or right tail is very country specific. And for countries in the same geographical region, the tails of the returns distribution do not behave similarly as often claimed in the literature.;In chapter two, "Tail Dependence between Stock Index Returns and Foreign Exchange Rate Returns: A Copula Approach", I apply the concept of copula to model the dependence patterns, especially in the tail area, between stock index returns and foreign exchange rate returns for five East Asian economies: Hong Kong, Indonesia, South Korea, Singapore, and Taiwan. I first filter the raw returns series using AR(k)-GARCH( p, q) type models to make sure the probability integral transforms are i.i.d Uniform (0,1), and then I fit the resulting series to the copula models. Some major empirical findings are, for the two more advanced markets, namely Hong Kong and Singapore, there exists neither left nor right tail dependence between stock index returns and exchange rate returns for the period under examination. Two of the three emerging markets (Indonesia and South Korea) have much stronger left tail dependency than right tail dependency, indicating that the higher probability of double extreme loss than double extreme gain. Taiwan has symmetric tail dependence with similar right and left tail dependence coefficients.;In chapter three, "Extreme Dependence across East Asian Financial Markets: Evidence in Equity and Currency Markets", I investigate pairwise extreme dependencies across regional financial markets by directly estimating the degree of tail dependence coefficients via unconditional and conditional copulas. I apply the two-step inference from the margins (IFM) method to model the extreme dependence patterns across stock markets as well as across currency markets. Empirically, I find significant asymmetric tail dependence in equity markets, with a larger left tail dependence coefficient than the right tail dependence coefficient. Mixed results are found for extreme co-movements in the foreign exchange markets. Extreme co-movements in the currency markets are much weaker, in several cases, with larger right tail coefficients. Using conditional copula, I also find significant changes in the degree of tail dependence for most of the equity pairs. These results serve as evidence that the degree of tail dependence in these stock markets changes over time, suggesting that these stock markets are in the process of becoming more integrated.;In chapter four, "Summary of Findings", I summarize the empirical findings of this study and discuss the potential implications of these findings.
机译:本文由三篇论文组成,分为三章,分别关于尾巴行为和极端依赖模式,每一章着重于几个东亚国家金融市场的特定方面。在第一章“东亚股票指数回报率和汇率变动的尾部行为”中,我分析了六个东亚经济体(香港,印度尼西亚,韩国,马来西亚,新加坡和台湾。我使用极值理论(EVT),特别是广义帕累托分布(GPD),来了解极端事件的可能性,并估计股指收益率和汇率收益率尾部的发胖水平。从经验上看,我发现一个国家的股指回报率和货币走势是左尾还是右尾都取决于国家。对于同一地理区域中的国家,收益分布的尾部行为也不像文献中通常所说的那样。第二章,“股指收益与汇率收益之间的尾部相关性:一种Copula方法”,我运用copula概念对五个东亚经济体(香港,印度尼西亚,韩国,新加坡和台湾)的股指收益率和汇率收益率之间的依赖关系模型进行建模,尤其是在尾部区域。我首先使用AR(k)-GARCH(p,q)类型模型过滤原始收益序列,以确保概率积分变换为i.d.Uniform(0,1),然后将所得序列拟合到copula模型。一些主要的经验发现是,对于香港和新加坡这两个更先进的市场,在审查期间,股指收益率和汇率收益率之间不存在左右尾随的依赖关系。三个新兴市场中的两个(印度尼西亚和韩国)具有比右尾依赖强得多的左尾依赖,这表明双重极端损失的可能性比双重极端收益的可能性更高。台湾具有对称的尾部依赖性,左右尾部依赖性系数相似。在第三章“东亚金融市场的极端依赖性:股票和货币市场的证据”中,我通过直接估计程度来研究区域金融市场的成对极端依赖性。通过无条件和有条件copulas的尾部依赖系数我采用了由边际利润(IFM)方法进行的两步推断,以对整个股票市场以及整个货币市场的极端依赖模式进行建模。从经验上看,我发现股票市场中存在显着的不对称尾部依赖性,其左尾部依赖性系数大于右尾部依赖性系数。对于外汇市场中的极端联动,结果不一。在某些情况下,货币市场的极端联动要弱得多,右尾系数更大。使用条件copula,我还发现大多数资产对的尾部依存度都有显着变化。这些结果证明这些股票市场的尾部依存度会随着时间而变化,这表明这些股票市场正处于更加整合的过程中。在第四章​​“调查结果摘要”中,我总结了以下结论:这项研究并讨论了这些发现的潜在含义。

著录项

  • 作者

    Lin, Fangxia.;

  • 作者单位

    City University of New York.;

  • 授予单位 City University of New York.;
  • 学科 Economics Finance.
  • 学位 Ph.D.
  • 年度 2011
  • 页码 151 p.
  • 总页数 151
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号