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ECONIS (ZBW)
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Combining large numbers of density predictions with Bayesian predictive synthesis
Chernis, Tony
- In:
Studies in nonlinear dynamics and econometrics : SNDE ; …
28
(
2024
)
2
,
pp. 293-317
Persistent link: https://www.econbiz.de/10014631932
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2
Forecasting cryptocurrency volatility
Catania, Leopoldo
;
Grassi, Stefano
- In:
International journal of forecasting
38
(
2022
)
3
,
pp. 878-894
Persistent link: https://www.econbiz.de/10013349436
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3
Using the conditional volatility channel to improve the accuracy of aggregate equity return predictions
Nonejad, Nima
- In:
Empirical economics : a quarterly journal of the …
61
(
2021
)
2
,
pp. 973-1009
Persistent link: https://www.econbiz.de/10012616915
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4
Bayesian model averaging and the conditional volatility process : an application to predicting aggregate equity returns by conditioning on economic variables
Nonejad, Nima
- In:
Quantitative finance
21
(
2021
)
8
,
pp. 1387-1411
Persistent link: https://www.econbiz.de/10012608655
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5
Predicting the return on the spot price of crude oil out-of-sample by conditioning on news-based uncertainty measures : some new empirical results
Nonejad, Nima
- In:
Energy economics
104
(
2021
),
pp. 1-29
Persistent link: https://www.econbiz.de/10013364254
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6
Does the price of crude oil help predict the conditional distribution of aggregate equity return?
Nonejad, Nima
- In:
Empirical economics : a journal of the Institute for …
58
(
2020
)
1
,
pp. 313-349
Persistent link: https://www.econbiz.de/10012218998
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7
Can credit spreads help predict a yield curve?
Abdymomunov, Azamat
;
Kang, Kyu Ho
;
Kim, Ki Jeong
- In:
Journal of international money and finance
64
(
2016
),
pp. 39-61
Persistent link: https://www.econbiz.de/10011668377
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