首页> 外文期刊>Studies in economics and finance >Volatility transmission and asymmetric linkages between the stock and foreign exchange markets A sectoral analysis
【24h】

Volatility transmission and asymmetric linkages between the stock and foreign exchange markets A sectoral analysis

机译:股票市场和外汇市场之间的波动传递和不对称联系部门分析

获取原文
获取原文并翻译 | 示例
       

摘要

Purpose - The purpose of this paper is to analyze volatility transmission between the Japanese stock and foreign exchange markets. Design/methodology/approach - In contrast to the existing literature, industry-level stock data are applied to a trivariate Baba, Engle, Kraft and Kroner-generalised autoregressive conditional heteroscedasticity (BEKK-GARCH) model that also includes comparable US industrial stocks returns as a control variable. Findings - Using daily data over the study period 1994-2007, it was found that news shocks in the Japanese currency market account for volatility transmission in eight of the ten industrial sectors considered. Evidence was also found of significant asymmetric effects in five of these industries. Research limitations/implications - While the BEKK-GARCH model enables analysis of volatility transmission between the stock and foreign markets against a background of conditional correlation and asymmetries, the model requires the estimation of a large number of parameters, which can be problematic for a limited dataset. Originality/value - The paper's findings have important implications for understanding international volatility transmission involving the stock and foreign exchange markets. This in turn can provide insight into investor behaviour.
机译:目的-本文的目的是分析日本股票和外汇市场之间的波动传递。设计/方法/方法-与现有文献相反,行业水平的库存数据应用于三变量Baba,Engle,Kraft和Kroner广义自回归条件异方差(BEKK-GARCH)模型,该模型还包括可比较的美国工业股票收益作为控制变量。研究结果-使用1994年至2007年研究期间的每日数据,发现日本货币市场的新闻冲击是所考虑的10个工业部门中的8个行业波动的原因。还发现在其中五个行业中存在明显的不对称效应。研究的局限性/含意-尽管BEKK-GARCH模型可以在条件相关和不对称的背景下分析股票和外国市场之间的波动传递,但该模型需要估计大量参数,这对于有限的分析可能是有问题的。数据集。原创性/价值-本文的发现对理解涉及股票和外汇市场的国际波动传递具有重要意义。反过来,这可以洞悉投资者的行为。

著录项

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