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YiHao Lai
Researcher at Dayeh University
Publications - 17
Citations - 406
YiHao Lai is an academic researcher from Dayeh University. The author has contributed to research in topics: Futures contract & Copula (probability theory). The author has an hindex of 7, co-authored 16 publications receiving 368 citations. Previous affiliations of YiHao Lai include Feng Chia University & National Taiwan Ocean University.
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A revisit to the dependence structure between the stock and foreign exchange markets: A dependence-switching copula approach
TL;DR: In this paper, a dependence-switching copula model was developed to examine dependence and tail dependence for four different market statuses, namely, rising stocks/appreciating-currency, falling stocks/depreciating currencies, and falling stocks /appreciated-currency.
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Export Promotion through Exchange Rate Policy: Exchange Rate Depreciation or Stabilization?
TL;DR: In this paper, the authors investigated the effect of exchange rate on exports in eight Asian countries using a dynamic conditional correlation bivariate GARCH-M model that simultaneously estimates time-varying correlation and exchange rate risk.
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Does Exchange Rate Risk Affect Exports Asymmetrically? Asian Evidence
TL;DR: In this article, the authors test the hypothesis of asymmetric effects of exchange rate risk with a dynamic conditional correlation bivariate GARCH(1, 1, 1)-M model.
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Optimal dynamic hedging via copula-threshold-GARCH models
TL;DR: Compared with conventional hedging strategies, including Engle's dynamic conditional correlation GARCH model, the results show that hedge ratios constructed by a Gaussian or Mixture copula are the best-performed in variance reduction for all markets except Japan and Singapore, and provide close to the best returns on a hedging portfolio over the sample period.
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The role of Chinese stock market in global stock markets: A safe haven or a hedge?
YiHao Lai,Jen-Ching Tseng +1 more
TL;DR: In this paper, a new empirically testable definition for a safe haven and a hedge from the viewpoint of extreme and regular dependences measured by a modern statistical tool of copulas is proposed.