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Linear time-varying regression with a DCC-GARCH model for volatility
Kim, Jong-Min; Jung, Hojin; Qin, Li - In: Applied economics 48 (2016) 16/18, pp. 1573-1582
Persistent link: https://www.econbiz.de/10011456689
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Estimating yield spreads volatility using GARCH-type models
Kim, Jong-Min; Kim, Dong H.; Jung, Hojin - In: The North American journal of economics and finance : a … 57 (2021), pp. 1-10
Persistent link: https://www.econbiz.de/10012822078
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Modeling non-normal corporate bond yield spreads by copula
Kim, Jong-Min; Kim, Dong H.; Jung, Hojin - In: The North American journal of economics and finance : a … 53 (2020), pp. 1-15
Persistent link: https://www.econbiz.de/10012642431
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Applications of machine learning for corporate bond yield spread forecasting
Kim, Jong-Min; Kim, Dong H.; Jung, Hojin - In: The North American journal of economics and finance : a … 58 (2021), pp. 1-11
Persistent link: https://www.econbiz.de/10013188180
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Functional ARCH directional dependence via copula for intraday volatility from high-frequency financial time series
Kim, Jong-Min; Hwang, Sun Young - In: Applied economics 53 (2021) 4, pp. 506-520
Persistent link: https://www.econbiz.de/10012416072
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A new generalized volatility proxy via the stochastic volatility model
Kim, Jong-Min; Jung, Hojin; Qin, Li - In: Applied economics 49 (2017) 23, pp. 2259-2268
Persistent link: https://www.econbiz.de/10011817347
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Can asymmetric conditional volatility imply asymmetric tail dependence?
Kim, Jong-Min; Jung, Hojin - In: Economic modelling 64 (2017), pp. 409-418
Persistent link: https://www.econbiz.de/10011761287
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Linear time-varying regression with Copula-DCC-GARCH models for volatility
Kim, Jong-Min; Jung, Hojin - In: Economics letters 145 (2016), pp. 262-265
Persistent link: https://www.econbiz.de/10011618857
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Linear time-varying regression with copula-DCC-asymmetric-GARCH models for volatility : the co-movement between industrial electricity demand and financial factors
Kim, Yunsun; Hwang, Sun Young; Kim, Jong-Min; Kim, Sahm - In: Applied economics 55 (2023) 3, pp. 255-272
Persistent link: https://www.econbiz.de/10013494421