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Journal of empirical finance
SFB 649 Discussion Papers
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When machines read the news : using automated text analytics to quantify high frequency news-implied market reactions
Groß-Klußmann, Axel
;
Hautsch, Nikolaus
- In:
Journal of empirical finance
18
(
2011
)
2
,
pp. 321-340
Persistent link: https://www.econbiz.de/10009301114
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2
Modelling and forecasting liquidity supply using semiparametric factor dynamics
Härdle, Wolfgang
;
Hautsch, Nikolaus
;
Mihoci, Andrija
- In:
Journal of empirical finance
19
(
2012
)
4
,
pp. 610-625
Persistent link: https://www.econbiz.de/10009615658
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3
Dynamic conditional correlation multiplicative error processes
Bodnar, Taras
;
Hautsch, Nikolaus
- In:
Journal of empirical finance
36
(
2016
),
pp. 41-67
Persistent link: https://www.econbiz.de/10011662746
Saved in:
4
Volatility estimation on the basis of price intensities
Gerhard, Frank
;
Hautsch, Nikolaus
- In:
Journal of empirical finance
9
(
2002
)
1
,
pp. 57-90
Persistent link: https://www.econbiz.de/10007237013
Saved in:
5
When machines read the news: Using automated text analytics to quantify high frequency news-implied market reactions
Groß-Klußmann, Axel
;
Hautsch, Nikolaus
- In:
Journal of empirical finance
18
(
2011
)
2
,
pp. 321-341
Persistent link: https://www.econbiz.de/10008849035
Saved in:
6
Modelling and forecasting liquidity supply using semiparametric factor dynamics
Härdle, Wolfgang Karl
;
Hautsch, Nikolaus
;
Mihoci, Andrija
- In:
Journal of empirical finance
19
(
2012
)
4
,
pp. 610-626
Persistent link: https://www.econbiz.de/10009996259
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