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Search: subject:"Mixed data sampling"
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Forecasting model
47
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47
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45
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44
Mixed data sampling
34
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34
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34
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31
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19
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15
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mixed data sampling
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11
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11
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11
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10
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10
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10
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Foroni, Claudia
9
Ghysels, Eric
9
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8
Walther, Thomas
8
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7
Ravazzolo, Francesco
6
Marcellino, Massimiliano
5
Miller, J. Isaac
5
Motegi, Kaiji
5
Hill, Jonathan B.
4
Jiang, Cuixia
4
Valadkhani, Abbas
4
Xu, Qifa
4
Aastveit, Knut Are
3
Audrino, Francesco
3
Bouri, Elie
3
Golosnoy, Vasyl
3
Gribisch, Bastian
3
Javed, Farrukh
3
Liesenfeld, Roman
3
Nguyen, Duc Khuong
3
Wu, Xinyu
3
Andreani, Mila
2
Asgharian, Hossein
2
Asimakopoulos, Panagiotis
2
Asimakopoulos, Stylianos
2
Candila, Vincenzo
2
Casarin, Roberto
2
Charfeddine, Lanouar
2
Chen, Qiang
2
Chikamatsu, Kyosuke
2
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2
Dudda, Tom L.
2
Fendoglu, Salih
2
Ferrara, Laurent
2
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2
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2
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2
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Centre for Applied Macro- and Petroleum economics (CAMP), BI Handelshøyskolen
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East Asian Bureau of Economic Research (EABER)
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Institut für Volkswirtschaftslehre, Christian-Albrechts-Universität Kiel
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Knut Wicksells centrum för finansvetenskap, Ekonomihögskolan
1
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1
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International review of economics & finance : IREF
5
International journal of forecasting
4
Energy economics
3
Journal of econometrics
3
Journal of forecasting
3
QMS Research Paper
3
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3
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DIW Wochenbericht
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Finance research letters
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2
Journal of risk
2
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2
The energy journal
2
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2
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1
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1
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1
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1
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CORE discussion papers : DP
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Computational Statistics & Data Analysis
1
Czech Economic Review
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1
Department of Economics working paper series
1
Digital finance : smart data analytics, investment innovation, and financial technology
1
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ECONIS (ZBW)
86
RePEc
21
EconStor
11
Showing
51
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118
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51
The impact of money supply on Nigeria economy : a comparison of
Mixed
Data
Sampling
(MIDAS) and ARDL approach
Oluseyi, Adeniji Sesan
;
Olasehinde, Timilehin John
; …
- In:
EuroEconomica
36
(
2017
)
2
,
pp. 123-134
Persistent link: https://www.econbiz.de/10011798657
Saved in:
52
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:
53
A TVM-Copula-MIDAS-GARCH model with applications to VaR-based portfolio selection
Jiang, Cuixia
;
Ding, Xiaoyi
;
Xu, Qifa
;
Tong, Yongbo
- In:
The North American journal of economics and finance : a …
51
(
2020
),
pp. 1-11
Persistent link: https://www.econbiz.de/10012659611
Saved in:
54
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:
55
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:
56
Systemic risk-shifting in U.S. commercial banking
Kanas, Angelos
;
Zervopoulos, Panagiotis D.
- In:
Review of quantitative finance and accounting
54
(
2020
)
2
,
pp. 517-539
Persistent link: https://www.econbiz.de/10012232864
Saved in:
57
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:
58
Do measures of systemic risk predict U.S. corporate bond default rates?
Kanas, Angelos
;
Molyneux, Philip
- In:
International review of financial analysis
71
(
2020
),
pp. 1-14
Persistent link: https://www.econbiz.de/10012437165
Saved in:
59
Time-Disaggregated Dividend-Price Ratio and Dividend Growth Predictability in Large Equity Markets
Asimakopoulos, Panagiotis
-
2016
order to uncover this relationship, we use monthly dividends and a
mixed
data
sampling
technique which allows us to cope …
Persistent link: https://www.econbiz.de/10013006710
Saved in:
60
A time-varying long run HEAVY model
Braione, Manuela
-
2016
Persistent link: https://www.econbiz.de/10011581860
Saved in:
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