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~isPartOf:"The North American journal of economics and finance : a journal of financial economics studies"
~person:"Jung, Hojin"
~subject:"Asymmetric information"
~subject:"Capital income"
~subject:"Prognoseverfahren"
~subject:"Wirtschaftswachstum"
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Jung, Hojin
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The North American journal of economics and finance : a journal of financial economics studies
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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
Saved in:
2
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
Saved in:
3
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
Saved in:
4
A quantile-copula approach to dependence between financial assets
Kim, Jong-Min
;
Tabacu, Lucia
;
Jung, Hojin
- In:
The North American journal of economics and finance : a …
51
(
2020
),
pp. 1-11
Persistent link: https://www.econbiz.de/10012659570
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