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Search: subject:"mixed data sampling (MIDAS)"
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Forecasting model
22
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22
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14
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14
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10
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7
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mixed data sampling (MIDAS)
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Ghysels, Eric
4
Motegi, Kaiji
4
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3
Hill, Jonathan B.
3
Schumacher, Christian
3
Yang, Lixiong
3
Chikamatsu, Kyosuke
2
Deschamps, Bruno
2
Hirakata, Naohisa
2
Ioannidis, Christos
2
Ka, Kook
2
Kido, Yosuke
2
Marcellino, Massimiliano
2
Mikosch, Heiner
2
Miller, J. Isaac
2
Neuwirth, Stefan
2
Otaka, Kazuki
2
Trung Hai Le
2
Audrino, Francesco
1
Bai, Jiancheng
1
Bai, Jianming
1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
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1
Nave, Juan
1
Ng, Eric C. Y.
1
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1
Ravazzolo, Francesco
1
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1
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2
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1
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1
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1
International review of economics & finance : IREF
1
Japan and the world economy : international journal of theory and policy
1
Journal of applied econometrics
1
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1
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1
Journal of financial econometrics : official journal of the Society for Financial Econometrics
1
Journal of risk
1
KOF working papers
1
Research in international business and finance
1
Research memorandum / METEOR, Universiteit Maastricht, Faculty of Economics and Business Administration
1
The North American journal of economics and finance : a journal of financial economics studies
1
The econometrics journal
1
The energy journal
1
Tourism economics : the business and finance of tourism and recreation
1
VAR models in macroeconomics - new developments and applications : essays in honor of Christopher A. Sims
1
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ECONIS (ZBW)
30
RePEc
3
EconStor
1
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11
International portfolio allocation : the role of conditional higher moments
Trung Hai Le
- In:
International review of economics & finance : IREF
74
(
2021
),
pp. 33-57
Persistent link: https://www.econbiz.de/10012792935
Saved in:
12
Forecasting stock market volatility : an asymmetric conditional autoregressive range mixed data sampling (ACARR-MIDAS) model
Wu, Xinyu
;
Han, Yang
;
Ma, Chaoqun
- In:
Journal of risk
23
(
2021
)
6
,
pp. 1-35
Persistent link: https://www.econbiz.de/10013473133
Saved in:
13
High-frequency credit spread information and macroeconomic forecast revision
Deschamps, Bruno
;
Ioannidis, Christos
;
Ka, Kook
- In:
International journal of forecasting
36
(
2020
)
2
,
pp. 358-372
Persistent link: https://www.econbiz.de/10012414805
Saved in:
14
On business cycle forecasting
Lai, Huiwen
;
Ng, Eric C. Y.
- In:
Frontiers of business research in China : selected …
14
(
2020
)
3
,
pp. 324-349
Persistent link: https://www.econbiz.de/10012427131
Saved in:
15
Forecasting value at risk and expected shortfall with mixed data sampling
Trung Hai Le
- In:
International journal of forecasting
36
(
2020
)
4
,
pp. 1362-1379
Persistent link: https://www.econbiz.de/10012546780
Saved in:
16
Testing a large set of zero restrictions in regression models, with an application to mixed frequency Granger causality
Ghysels, Eric
;
Hill, Jonathan B.
;
Motegi, Kaiji
- In:
Journal of econometrics
218
(
2020
)
2
,
pp. 633-654
Persistent link: https://www.econbiz.de/10012483174
Saved in:
17
Real-time forecasting with a MIDAS VAR
Mikosch, Heiner
;
Neuwirth, Stefan
-
2015
Persistent link: https://www.econbiz.de/10010506265
Saved in:
18
Forecasting commodity currencies : the role of fundamentals with short-lived predictive content
Foroni, Claudia
;
Ravazzolo, Francesco
;
Ribeiro, Pinho J.
-
2015
Persistent link: https://www.econbiz.de/10011391725
Saved in:
19
Predicting U.S. bank failures with MIDAS logit models
Audrino, Francesco
;
Kostrov, Alexander
;
Ortega, Juan-Pablo
- In:
Journal of financial and quantitative analysis : JFQA
54
(
2019
)
6
,
pp. 2575-2603
Persistent link: https://www.econbiz.de/10012165925
Saved in:
20
High‐dimensional macroeconomic forecasting and variable selection via penalized regression : editor's choice
Uematsu, Yoshimasa
;
Tanaka, Shinya
- In:
The econometrics journal
22
(
2019
)
1
,
pp. 34-56
Persistent link: https://www.econbiz.de/10012166649
Saved in:
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