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~isPartOf:"Applied economics letters"
~person:"Nie, He"
~person:"Wang, Xingchun"
~subject:"Aktienmarkt"
~subject:"GARCH models"
~subject:"Option pricing theory"
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Nie, He
Wang, Xingchun
Ryu, Doojin
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Applied economics letters
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The North American journal of economics and finance : a journal of financial economics studies
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Review of derivatives research
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3
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International review of economics & finance : IREF
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ECONIS (ZBW)
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1
Pricing European basket warrants with default risk under stochastic volatility models
Wang, Xingchun
- In:
Applied economics letters
29
(
2022
)
3
,
pp. 253-260
Persistent link: https://www.econbiz.de/10012803500
Saved in:
2
Valuing vulnerable options with bond collateral
Wang, Guanying
;
Wang, Xingchun
- In:
Applied economics letters
28
(
2021
)
2
,
pp. 115-118
Persistent link: https://www.econbiz.de/10012415094
Saved in:
3
Valuing vulnerable options with two underlying assets
Wang, Xingchun
- In:
Applied economics letters
27
(
2020
)
21
,
pp. 1699-1706
Persistent link: https://www.econbiz.de/10012315771
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4
Pricing options on the maximum of two average prices under stochastic volatility models
Wang, Xingchun
- In:
Applied economics letters
29
(
2022
)
10
,
pp. 887-894
Persistent link: https://www.econbiz.de/10013411818
Saved in:
5
Exchange options and spread options with stochastically correlated underlyings
Wang, Xingchun
- In:
Applied economics letters
29
(
2022
)
12
,
pp. 1060-1068
Persistent link: https://www.econbiz.de/10013412038
Saved in:
6
Does investor sentiment dynamically impact stock returns from different investor horizons? : evidence from the US stock market using a multi-scale method
Jiang, Yonghong
;
Mo, Bin
;
Nie, He
- In:
Applied economics letters
25
(
2018
)
7
,
pp. 472-476
Persistent link: https://www.econbiz.de/10011854926
Saved in:
7
Do different time horizons in the volatility of the US stock market significantly affect the China ETF market?
Nie, He
;
Jiang, Yonghong
;
Yang, Baoqing
- In:
Applied economics letters
25
(
2018
)
11
,
pp. 747-751
Persistent link: https://www.econbiz.de/10012129834
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