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Three Essays on: Hedging in China's Oil futures market; Gold, Oil and Stock Market Price Volatility links in the USA; and, Currency Fluctuations in S.E. and Pacific Asia

机译:三篇论文:中国石油期货市场的套期保值;黄金,石油和股市价格波动链接在美国;和,s.E。的货币波动和亚太地区

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摘要

This thesis empirically evaluates three key financial and macroeconomic issues: Essay 1 examines the effectiveness of China fuel oil futures in hedging a domestic spot fuel oil position as well as hedging a spot position in the Singapore fuel oil market. To the best of our knowledge, this is the first study of this kind. Dynamic Bi-variate GARCH and constant volatility models are estimated to derive the optimal hedging ratios and hedging effectiveness of China fuel oil futures. That effectiveness is assessed by several criteria, for both in- and out-of-sample periods. Essay 2 aims to investigate the relationship between the oil, gold and US stock markets. By employing a Tri-variate GARCH(1,1) model, this is the first study to explore how volatility is transmitted among those three markets. Additionally, this is the first study to compare Tri-variate GARCH and Bi-variate GARCH modelling strategies as vehicles for determining the volatility interrelations between these markets. Essay 3 explores the power of conventional macroeconomic factors to explain the currency fluctuations over recent years, including the 1997 crises, in six Asian countries. Two regimes Markov Switching TGARCH and constant volatility models are used to determine the causes of market pressures on exchange rates, and the probability of the timing of a currency attack. The Markov Switching models do not require an ex-ante definition of a threshold value to distinguish stable and volatile state like Logit models do, and they can capture the appreciating currency attacks as well as the depreciating ones. The Markov Switching models are also compared with Multinomial Logit models in their ability to detect crises.
机译:本文从经验上评估了三个关键的金融和宏观经济问题:论文1考察了中国燃料油期货对冲国内燃料油现货头寸以及对冲新加坡燃料油现货市场头寸的有效性。就我们所知,这是此类研究的首次。估计动态双变量GARCH模型和恒定波动率模型可得出中国燃料油期货的最佳套期保值比率和套期有效性。对于样本内和样本外期间,均通过几种标准来评估其有效性。论文2旨在研究石油,黄金和美国股票市场之间的关系。通过使用三变量GARCH(1,1)模型,这是第一个探索波动如何在这三个市场之间传递的研究。此外,这是第一项比较三变量GARCH和二变量GARCH建模策略作为确定这些市场之间的波动相关性的工具的研究。论文3探索了传统的宏观经济因素在解释六个国家(包括1997年的危机)近年来的货币波动的能力。使用两种制度马尔可夫切换TGARCH和恒定波动率模型确定市场汇率压力的原因以及货币袭击时机的可能性。马尔可夫转换模型不需要像Logit模型那样预先定义阈值来区分稳定状态和波动状态,并且它们可以捕获升值的货币和降价的货币。还将马尔可夫切换模型与多项式Lo​​git模型的危机检测能力进行了比较。

著录项

  • 作者

    Chen Wei;

  • 作者单位
  • 年度 2009
  • 总页数
  • 原文格式 PDF
  • 正文语种 {"code":"en","name":"English","id":9}
  • 中图分类

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