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subject:"Volatilität"
~isPartOf:"International review of economics & finance : IREF"
~language:"eng"
~person:"Gupta, Rangan"
~person:"Pesaran, M. Hashem"
~subject:"Prognoseverfahren"
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Volatilität
Prognoseverfahren
Estimation
5
Schätzung
5
Immobilienpreis
4
Real estate price
4
Capital income
3
Forecasting model
3
Kapitaleinkommen
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USA
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Gupta, Rangan
Pesaran, M. Hashem
Xuan Vinh Vo
4
Balcilar, Mehmet
3
Brooks, Robert
3
Kang, Sang Hoon
3
Yin, Libo
3
Caporin, Massimiliano
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Chang, Chia-Lin
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Chang, Kuang-Liang
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Do, Hung Xuan
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Mensi, Walid
2
Shamsuddin, Abul
2
Sousa, Ricardo M.
2
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1
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1
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1
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International review of economics & finance : IREF
Department of Economics working paper series
24
The North American journal of economics and finance : a journal of financial economics studies
8
CESifo working papers
7
Finance research letters
7
The quarterly review of economics and finance : journal of the Midwest Economics Association ; journal of the Midwest Finance Association
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Economic modelling
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DAE working paper
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Cambridge working papers in economics
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Journal of multinational financial management
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Behavioral Finance and Asset Prices : The Influence of Investor's Emotions
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ECONIS (ZBW)
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1
Linking U.S. state-level housing market returns, and the consumption-(dis)aggregate wealth ratio
Balcilar, Mehmet
;
Gupta, Rangan
;
Sousa, Ricardo M.
; …
- In:
International review of economics & finance : IREF
71
(
2021
),
pp. 779-810
Persistent link: https://www.econbiz.de/10012630699
Saved in:
2
Predicting stock market movements with a time-varying consumption-aggregate wealth ratio
Chang, Tsangyao
;
Gupta, Rangan
;
Majumdar, Anandamayee
; …
- In:
International review of economics & finance : IREF
59
(
2019
),
pp. 458-467
Persistent link: https://www.econbiz.de/10012203261
Saved in:
3
Do cay and cayMS predict stock and housing returns? : evidence from a nonparametric causality test
Balcilar, Mehmet
;
Gupta, Rangan
;
Sousa, Ricardo M.
; …
- In:
International review of economics & finance : IREF
48
(
2017
),
pp. 269-279
Persistent link: https://www.econbiz.de/10011747274
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