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1
The intraday directional predictability of large Australian stocks : a cross-quantilogram analysis
Todorova, Neda
- In:
Economic modelling
64
(
2017
),
pp. 221-230
Persistent link: https://www.econbiz.de/10011760907
Saved in:
2
Growth-returns nexus : evidence from three Central and Eastern European countries
Lyócsa, Štefan
- In:
Economic modelling
42
(
2014
),
pp. 343-355
Persistent link: https://www.econbiz.de/10010478099
Saved in:
3
The impact of trading volume, number of trades and overnight returns on forecasting the daily realized range
Todorova, Neda
;
Souček, Michael
- In:
Economic modelling
36
(
2014
),
pp. 332-340
Persistent link: https://www.econbiz.de/10010415483
Saved in:
4
The course of realized volatility in the LME non-ferrous metal market
Todorova, Neda
- In:
Economic modelling
51
(
2015
),
pp. 1-12
Persistent link: https://www.econbiz.de/10011475768
Saved in:
5
Forecasting stock volatility using after-hour information : evidence from the Australian Stock Exchange
Jayawardena, Nirodha I.
;
Todorova, Neda
;
Li, Bin
;
Su, Jen-je
- In:
Economic modelling
52
(
2016
),
pp. 592-608
Persistent link: https://www.econbiz.de/10011642932
Saved in:
6
Convenience yield, realised volatility and jumps : evidence from non-ferrous metals
Omura, Akihiro
;
Li, Bin
;
Chung, Richard
;
Todorova, Neda
- In:
Economic modelling
70
(
2018
),
pp. 496-510
Persistent link: https://www.econbiz.de/10012027980
Saved in:
7
Volatility forecasting using related markets' information for the Tokyo stock exchange
Jayawardena, Nirodha I.
;
Todorova, Neda
;
Li, Bin
;
Su, Jen-je
- In:
Economic modelling
90
(
2020
),
pp. 143-158
Persistent link: https://www.econbiz.de/10012428085
Saved in:
8
Volatility and dynamic conditional correlations of worldwide emerging and frontier markets
Baumöhl, Eduard
;
Lyócsa, Štefan
- In:
Economic modelling
38
(
2014
),
pp. 175-183
Persistent link: https://www.econbiz.de/10010418125
Saved in:
9
Return spillovers around the globe : a network approach
Lyócsa, Štefan
;
Výrost, Tomáš
;
Baumöhl, Eduard
- In:
Economic modelling
77
(
2019
),
pp. 133-146
Persistent link: https://www.econbiz.de/10012198452
Saved in:
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