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~language:"eng"
~person:"Christensen, Kim"
~person:"Gallo, Giampiero M."
~person:"Molnár, Peter"
~subject:"Prognoseverfahren"
~subject:"Zeitreihenanalyse"
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Measuring volatility with the...
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Christensen, Kim
Gallo, Giampiero M.
Molnár, Peter
Gupta, Rangan
31
Ma, Feng
25
Pierdzioch, Christian
21
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13
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ECONIS (ZBW)
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1
Stock market volatility forecasting : do we need high-frequency data?
Lyócsa, Štefan
;
Molnár, Peter
;
Výrost, Tomáš
- In:
International journal of forecasting
37
(
2021
)
3
,
pp. 1092-1110
Persistent link: https://www.econbiz.de/10012794812
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2
Range-based DCC models for covariance and value-at-risk forecasting
Fiszeder, Piotr
;
Fałdziński, Marcin
;
Molnár, Peter
- In:
Journal of empirical finance
54
(
2019
),
pp. 58-76
Persistent link: https://www.econbiz.de/10012174846
Saved in:
3
Attention to oil prices and its impact on the oil, gold and stock markets and their covariance
Fiszeder, Piotr
;
Fałdziński, Marcin
;
Molnár, Peter
- In:
Energy economics
120
(
2023
),
pp. 1-10
Persistent link: https://www.econbiz.de/10014285888
Saved in:
4
Modeling and forecasting dynamic conditional correlations with opening, high, low, and closing prices
Fiszeder, Piotr
;
Fałdziński, Marcin
;
Molnár, Peter
- In:
Journal of empirical finance
70
(
2023
),
pp. 308-321
Persistent link: https://www.econbiz.de/10014423712
Saved in:
5
Improving volatility forecasts : evidence from range-based models
Fałdziński, Marcin
;
Fiszeder, Piotr
;
Molnár, Peter
- In:
The North American journal of economics and finance : a …
69
(
2024
)
2
,
pp. 1-28
Persistent link: https://www.econbiz.de/10014445632
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6
The realized empirical distribution function of stochastic variance with application to goodness-of-fit testing
Christensen, Kim
;
Thyrsgaard, Martin
;
Veliyev, Bezirgen
- In:
Journal of econometrics
212
(
2019
)
2
,
pp. 556-583
Persistent link: https://www.econbiz.de/10012304092
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7
Is the diurnal pattern sufficient to explain intraday variation in volatility? : a nonparametric assessment
Christensen, Kim
;
Hounyo, Ulrich
;
Podolskij, Mark
- In:
Journal of econometrics
205
(
2018
)
2
,
pp. 336-362
Persistent link: https://www.econbiz.de/10012110287
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8
A machine learning approach to volatility forecasting
Christensen, Kim
;
Siggaard, Mathias Voldum
;
Veliyev, …
-
2021
Persistent link: https://www.econbiz.de/10012434010
Saved in:
9
Forecasting volatility of the US oil market
Haugom, Erik
;
Langeland, Henrik
;
Molnár, Peter
; …
- In:
Journal of banking & finance
47
(
2014
),
pp. 1-14
Persistent link: https://www.econbiz.de/10010506517
Saved in:
10
Realized volatility forecasting : Robustness to measurement errors
Cipollini, Fabrizio
;
Gallo, Giampiero M.
;
Otranto, Edoardo
- In:
International journal of forecasting
37
(
2021
)
1
,
pp. 44-57
Persistent link: https://www.econbiz.de/10012692572
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