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subject:"Portfolio-Management"
type_genre:"Sammlung"
~isPartOf:"Mathematical and statistical methods for actuarial sciences and finance : MAF 2016"
~subject:"Spieltheorie"
~type_genre:"Conference proceedings"
~type_genre:"Konferenzbeitrag"
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Mathematical and statistical methods for actuarial sciences and finance : MAF 2016
Lecture notes in economics and mathematical systems : LNEMS
11
Multiple criteria decision making in finance, insurance and investment
7
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4
Ph.D-afhandling / Økonomisk Institut, Københavns Universitet
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International journal of theoretical and applied finance
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Licentiatafhandling / Økonomisk Institut, Københavns Universitet
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Mathematics in business management : [International Conference on Mathematics in Engineering and Business Management during 9 - 10 March 2012, Chennai, India]
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Princeton studies in complexity
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The economic studies quarterly : the journal of the Japan Association of Economics and Econometrics
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Theory and decision library / C : TDL
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Advanced modelling in mathematical finance : in honour of Ernst Eberlein
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Agent based social systems : ABSS
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Asset-liability management with ultra-low interest rates, March 11, 2015 : [a conference jointly organized by SUERF, the OeNB and the Austrian Society for Bank Research]
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Bulletin of economic research
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A network approach to risk theory and portfolio selection
Cerqueti, Roy
;
Lupi, Claudio
- In:
Mathematical and statistical methods for actuarial …
,
(pp. 73-82)
.
2017
Persistent link: https://www.econbiz.de/10012098764
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2
Uncertainty in historical value-at-risk : an alternative quantile-based risk measure
Guégan, Dominique
;
Hassani, Bertrand
;
Li, Kehan
- In:
Mathematical and statistical methods for actuarial …
,
(pp. 119-128)
.
2017
Persistent link: https://www.econbiz.de/10012098775
Saved in:
3
Optimal portfolio selection for an investor with asymmetric attitude to gains and losses
Sidorov, Sergei
;
Khomchenko, Andrew
;
Mironov, Sergei
- In:
Mathematical and statistical methods for actuarial …
,
(pp. 157-169)
.
2017
Persistent link: https://www.econbiz.de/10012098782
Saved in:
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