Title page for etd-0115109-171347


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URN etd-0115109-171347
Author Shu-Yu Lin
Author's Email Address No Public.
Statistics This thesis had been viewed 4679 times. Download 1237 times.
Department Finance
Year 2008
Semester 1
Degree Ph.D.
Type of Document
Language zh-TW.Big5 Chinese
Title The Implication of Asymmetric Condtional Covariance Matrix on Asset Allocation and Risk Management
Date of Defense 2009-01-13
Page Count 99
Keyword
  • positive feedback
  • risk management
  • asset allocation
  • time-varying risk premia
  • Abstract The work presented in this dissertation can be grouped around two major themes. The first theme relates to the asset allocation and the second theme relates to risk management.
    In Chapter Three, we investigate the dynamics of foreign exchange and stock returns based on an extended version of Sentana and Wadhwani (1992) model. This study is mainly driven by the wish to explain two major stylized facts that puzzled the older models. We find evidence to support that only intertemporal variation in the foreign exchange risk premium can be explained by time–varying covariance priced risk factors. Furthermore, we also find that the first order autocorrelation of both foreign exchange and stock market returns in Taiwan is negatively related to the level of conditional volatility and covariance. This time-varying nature of the serial correlation pattern is consistent with our model where some traders follow feedback strategies. The three nested asset pricing models with four models of conditional second moments are strongly rejected. We conclude that our extended Sentana and Wadhwani model is more adequate in explaining the dynamics of foreign exchange and stock markets.
    In Chapter Four, we investigate the risk management of futures market and spot market returns. There is widespread evidence that the volatility of stock returns display an asymmetric response to good and bad news. This paper attempted and found the asymmetric behavior co-existence in spot as well as future markets. By using the Asymmetric Dynamic Model (ADC) proposed by Kroner and Ng (1998), we estimated the conditional covariance matrix asymmetric and calculated dynamic optimal hedge ratios. With the help of that asymmetric model, our “out of sample” dynamic hedging strategy out-performed that of normally dynamic hedging strategies. However, while taking the transaction costs into consideration, the performance was even worse than that of the static strategy.
    Advisory Committee
  • Huang, Y. C. - chair
  • Jen-Sin Lee - co-chair
  • Chou-Wen Wang - co-chair
  • Chen. H. C. - co-chair
  • David Shyu - advisor
  • Files
  • etd-0115109-171347.pdf
  • indicate access worldwide
    Date of Submission 2009-01-15

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