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Forecasting Performance of Vol...
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McAleer, Michael
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223
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178
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172
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164
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142
Pesaran, M. Hashem
142
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136
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136
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133
Bouri, Elie
132
Härdle, Wolfgang
130
Ghysels, Eric
119
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119
Ma, Feng
117
McCracken, Michael W.
115
Hyndman, Rob J.
114
Andersen, Torben
107
Dijk, Dick van
107
Kilian, Lutz
106
Wohar, Mark E.
106
Hautsch, Nikolaus
104
Aizenman, Joshua
102
Spagnolo, Nicola
102
Engle, Robert F.
99
Hendry, David F.
99
Döpke, Jörg
97
Rossi, Barbara
97
Schorfheide, Frank
97
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96
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C.E.P.R. Discussion Papers
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11
Centre for Growth and Business Cycle Research <Manchester>
11
Chambre de commerce et d'industrie de Paris
11
Cowles Foundation for Research in Economics, Yale University
11
Federal Reserve Bank of New York
11
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NBER Working Paper
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International review of financial analysis
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International review of economics & finance : IREF
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Applied economics letters
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Journal of empirical finance
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Research in international business and finance
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Technological forecasting & social change : an international journal
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European journal of operational research : EJOR
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Journal of international money and finance
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CESifo working papers
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International journal of theoretical and applied finance
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Computational economics
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Journal of international financial markets, institutions & money
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Journal of financial economics
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Journal of risk and financial management : JRFM
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IMF working papers
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Pacific-Basin finance journal
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Quantitative finance
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ECB Working Paper
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International Journal of Energy Economics and Policy : IJEEP
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EconStor
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USB Cologne (EcoSocSci)
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41
Nowcasting networks
Chataigner, Marc
;
Crépey, Stéphane
;
Pu, Jiang
- In:
The journal of computational finance
24
(
2020
)
3
,
pp. 1-39
Persistent link: https://www.econbiz.de/10012543628
Saved in:
42
Physics-informed convolutional transformer for predicting
volatility
surface
Kim, Soohan
;
Yun, Seok-Bae
;
Bae, Hyeong-Ohk
;
Lee, Muhyun
; …
- In:
Quantitative finance
24
(
2024
)
2
,
pp. 203-220
Persistent link: https://www.econbiz.de/10014551964
Saved in:
43
The Information Content of The Implied
Volatility
Surface : Can Option Prices Predict Jumps?
Han, Yufeng
-
2020
We ask whether option prices contain information on the likelihood and direction of jumps in the underlying stock prices. Applying the partial least squares (PLS) approach to the entire surface of the implied volatilities (IV), we show that option prices can successfully predict downward jumps...
Persistent link: https://www.econbiz.de/10012847745
Saved in:
44
A practical guide to forecasting : financial markets
volatility
Poon, Ser-Huang
-
2005
Persistent link: https://www.econbiz.de/10013489917
Saved in:
45
Implied
volatility
surfaces : a comprehensive analysis using half a billion option prices
Ulrich, Maxim
;
Zimmer, Lukas
;
Merbecks, Constantin
- In:
Review of derivatives research
26
(
2023
)
2/3
,
pp. 135-169
Persistent link: https://www.econbiz.de/10014423871
Saved in:
46
Index-option pricing with stochastic
volatility
and the value of accurate variance forecasts
Engle, Robert F.
;
Kane, Alex
;
Noh, Jaesun
-
1993
Persistent link: https://www.econbiz.de/10000886028
Saved in:
47
Predicting
volatility
of stock indexes for option pricing on a small security market
Berglund, Tom
;
Hedvall, Kaj
;
Liljeblom, Eva
-
1990
Persistent link: https://www.econbiz.de/10000816312
Saved in:
48
Index-option pricing with stochastic
volatility
and the value of accurate variance forecasts
Engle, Robert F.
;
Kane, Alex
;
Noh, Jaesun
-
1993
Persistent link: https://www.econbiz.de/10000877913
Saved in:
49
The impact of jump dynamics on the predictive power of option-implied densities
Wang, Yaw-huei
- In:
The journal of derivatives : the official publication …
16
(
2008/09
)
3
,
pp. 9-22
Persistent link: https://www.econbiz.de/10003852617
Saved in:
50
Stock market
volatility
and the forecasting performance of stock index futures
Wang, Janchung
- In:
Journal of forecasting
28
(
2009
)
4
,
pp. 277-292
Persistent link: https://www.econbiz.de/10003869090
Saved in:
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