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Journal of empirical finance
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1
An artificial neural network-GARCH model for international stock return volatility
Donaldson, R. Glen
- In:
Journal of empirical finance
4
(
1997
)
1
,
pp. 17-46
Persistent link: https://www.econbiz.de/10001224775
Saved in:
2
Model averaging in risk management with an application to futures markets
Pesaran, M. Hashem
;
Schleicher, Christoph
;
Zaffaroni, Paolo
- In:
Journal of empirical finance
16
(
2009
)
2
,
pp. 280-305
Persistent link: https://www.econbiz.de/10003839329
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3
Some nonstandard stochastic volatility models and their estimation using structured hidden Markov models
Langrock, Roland
;
MacDonald, Iain L.
;
Zucchini, Walter
- In:
Journal of empirical finance
19
(
2012
)
1
,
pp. 147-161
Persistent link: https://www.econbiz.de/10009615752
Saved in:
4
Forecasting Bitcoin realized volatility by exploiting measurement error under model uncertainty
Qiu, Yue
;
Wang, Zongrun
;
Xie, Tian
;
Zhang, Xinyu
- In:
Journal of empirical finance
62
(
2021
),
pp. 179-201
Persistent link: https://www.econbiz.de/10012693338
Saved in:
5
Predicting the long-term stock market volatility : a GARCH-MIDAS model with variable selection
Fang, Tong
;
Lee, Tae-hwy
;
Su, Zhi
- In:
Journal of empirical finance
58
(
2020
),
pp. 36-49
Persistent link: https://www.econbiz.de/10012430452
Saved in:
6
The fundamental law of active management : redux
Ding, Zhuanxin
;
Martin, R. Douglas
- In:
Journal of empirical finance
43
(
2017
),
pp. 91-114
Persistent link: https://www.econbiz.de/10011817910
Saved in:
7
Oil price volatility and macroeconomic fundamentals : a regime switching GARCH-MIDAS model
Pan, Zhiyuan
;
Wang, Yudong
;
Wu, Chongfeng
;
Yin, Libo
- In:
Journal of empirical finance
43
(
2017
),
pp. 130-142
Persistent link: https://www.econbiz.de/10011817944
Saved in:
8
Can investor sentiment be a momentum time-series predictor? : evidence from China
Han, Xing
;
Li, Youwei
- In:
Journal of empirical finance
42
(
2017
),
pp. 212-239
Persistent link: https://www.econbiz.de/10011808570
Saved in:
9
Testing for structural breaks in correlations : does it improve Value-at-Risk forecasting?
Berens, Tobias
;
Weiß, Gregor
;
Wied, Dominik
- In:
Journal of empirical finance
32
(
2015
),
pp. 135-152
Persistent link: https://www.econbiz.de/10011556809
Saved in:
10
Realizing the extremes : estimation of tail-risk measures from a high-frequency perspective
Bee, Marco
;
Dupuis, Debbie J.
;
Trapin, Luca
- In:
Journal of empirical finance
36
(
2016
),
pp. 86-99
Persistent link: https://www.econbiz.de/10011662757
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