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Finance research letters
International journal of forecasting
1,654
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ECONIS (ZBW)
387
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1
Which component of air quality index drives stock price volatility in China : a decomposition-based forecasting method
Yu, Jize
;
Zhang, Li
;
Peng, Lijuan
;
Wu, Rui
- In:
Finance research letters
51
(
2023
),
pp. 1-9
Persistent link: https://www.econbiz.de/10014286581
Saved in:
2
Overnight information flow and realized volatility forecasting
Todorova, Neda
;
Souček, Michael
- In:
Finance research letters
11
(
2014
)
4
,
pp. 420-428
Persistent link: https://www.econbiz.de/10011300434
Saved in:
3
Can analysts predict rallies better than crashes?
Medovikov, Ivan
- In:
Finance research letters
11
(
2014
)
4
,
pp. 319-325
Persistent link: https://www.econbiz.de/10011300448
Saved in:
4
Strategic coordination in forecasting : an experimental study
Meub, Lukas
;
Proeger, Till
;
Bizer, Kilian
;
Spiwoks, Markus
- In:
Finance research letters
13
(
2015
),
pp. 155-162
Persistent link: https://www.econbiz.de/10011552469
Saved in:
5
Multi-market trading, price delay, and return predictability
Xia, Chuanxin
;
Yang, Nien-Tzu
;
Lin, Chaonan
;
Ko, Kuan-Cheng
- In:
Finance research letters
40
(
2021
),
pp. 1-8
Persistent link: https://www.econbiz.de/10012819821
Saved in:
6
A note on investor happiness and the predictability of realized volatility of gold
Bonato, Matteo
;
Gillas, Konstantinos Gkillas
;
Gupta, Rangan
- In:
Finance research letters
39
(
2021
),
pp. 1-6
Persistent link: https://www.econbiz.de/10012805333
Saved in:
7
Political uncertainty and analysts' forecasts : evidence from China
Yu, Sijia
;
Zhang, Junrui
;
Qiu, Meng
- In:
Finance research letters
36
(
2020
),
pp. 1-6
Persistent link: https://www.econbiz.de/10012483403
Saved in:
8
Can we beat the random walk? : the case of survey-based exchange rate forecasts in Chile
Pincheira, Pablo
;
Neumann, Federico
- In:
Finance research letters
37
(
2020
),
pp. 1-8
Persistent link: https://www.econbiz.de/10012485011
Saved in:
9
Forecasting realized gold volatility : is there a role of geopolitical risks?
Gillas, Konstantinos Gkillas
;
Gupta, Rangan
; …
- In:
Finance research letters
35
(
2020
),
pp. 1-6
Persistent link: https://www.econbiz.de/10012438328
Saved in:
10
Can CBOE gold and silver implied volatility help to
forecast
gold futures volatility in China? : evidence based on HAR and Ridge regression models
Wei, Yu
;
Liang, Chao
;
Li, Yan
;
Zhang, Xunhui
;
Wei, Guiwu
- In:
Finance research letters
35
(
2020
),
pp. 1-8
Persistent link: https://www.econbiz.de/10012438364
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