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Behaviour of cointegration tests in the presence of structural breaks in variance
Noh, Jaesun; Kim, Tae-hwan - In: Applied economics letters 10 (2003) 15, pp. 999-1002
Persistent link: https://www.econbiz.de/10001876763
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Small sample properties of GARCH(1,1) estimator under non-normality
Noh, Jaesun - In: Economics letters 55 (1997) 2, pp. 161-164
Persistent link: https://www.econbiz.de/10001227370
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On more robust estimation of skewness and kurtosis : simulation and application to the S&P500 index
Kim, Tae-hwan; White, Halbert - 2003
Persistent link: https://www.econbiz.de/10002118385
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On more robust estimation of skewness and kurtosis
Kim, Tae-hwan; White, Halbert - In: Finance research letters 1 (2004) 1, pp. 56-73
Persistent link: https://www.econbiz.de/10003307251
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VAR for VaR : measuring tail dependence using multivariate regression quantiles
White, Halbert; Kim, Tae-hwan; Manganelli, Simone - 2015
Persistent link: https://www.econbiz.de/10011288642
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Robust estimation of covariance and its application to portfolio optimization
Huo, Lijuan; Kim, Tae-hwan; Kim, Yunmi - In: Finance research letters 9 (2012) 3, pp. 121-134
Persistent link: https://www.econbiz.de/10009628116
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The instability of the Pearson correlation coefficient in the presence of coincidental outliers
Kim, Yunmi; Kim, Tae-hwan; Ergün, Tolga - In: Finance research letters 13 (2015), pp. 243-257
Persistent link: https://www.econbiz.de/10011552545
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VAR for VaR: measuring tail dependence using multivariate regression quantiles
White, Halbert; Kim, Tae-hwan; Manganelli, Simone - In: Journal of econometrics 187 (2015) 1, pp. 169-188
Persistent link: https://www.econbiz.de/10011498808
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Quantile cointegration in the autoregressive distributed-lag modeling framework
Cho, Jin Seo; Kim, Tae-hwan; Shin, Yongcheol - In: Journal of econometrics 188 (2015) 1, pp. 281-300
Persistent link: https://www.econbiz.de/10011500352
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Two-stage Huber estimation
Kim, Tae-hwan (contributor); Muller, Christophe (contributor) - 2005 - 1. ed.
Persistent link: https://www.econbiz.de/10002816264