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source:"econis"
~person:"Azzini, Antonia"
~person:"Hautsch, Nikolaus"
~subject:"Finanzmarkt"
~type_genre:"Book section"
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Applied quantitative finance
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Handbook of financial time series
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Natural computing in computational finance : volume 3 ; [the inspiration for this book was due in part to the success of EvoFIN 2009, the 3 rd European Workshop on Evolutionary Computation in Finance and Economics. EvoFIN 2009 took place in conjunction with Evo* 2009 in Tübingen, Germany (15 - 17 April 2009).]
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Measuring and modeling risk using high-frequency data
Härdle, Wolfgang
;
Hautsch, Nikolaus
;
Pigorsch, U.
- In:
Applied quantitative finance
,
(pp. 279-294)
.
2017
Persistent link: https://www.econbiz.de/10011794967
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2
A comparison between nature-inspired and machine learning approaches to detecting trend reversals in financial time series
Azzini, Antonia
;
Felice, Matteo De
;
Tettamanzi, Andrea G. B.
- In:
Natural computing in computational finance : volume 4
,
(pp. 39-59)
.
2011
Persistent link: https://www.econbiz.de/10009423552
Saved in:
3
Modeling turning points in financial markets with soft computing techniques
Azzini, Antonia
;
Costa Pereira, Célia da
;
Tettamanzi, …
- In:
Natural computing in computational finance : volume 3 ; …
,
(pp. 147-167)
.
2010
Persistent link: https://www.econbiz.de/10009514539
Saved in:
4
Modelling financial high frequency data using point processes
Bauwens, Luc
;
Hautsch, Nikolaus
- In:
Handbook of financial time series
,
(pp. 953-979)
.
2009
Persistent link: https://www.econbiz.de/10003834275
Saved in:
5
Measuring and modeling risk using high-frequency data
Härdle, Wolfgang
;
Hautsch, Nikolaus
;
Pigorsch, Uta
- In:
Applied quantitative finance
,
(pp. 275-293)
.
2009
Persistent link: https://www.econbiz.de/10003746412
Saved in:
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