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Title:

Risk Management Based on Stochastic Volatility

Document type:
Zeitschriftenaufsatz
Author(s):
Eberlein, E.; Kallsen, J.; Kristen, J.
Non-TUM Co-author(s):
ja
Cooperation:
national
Abstract:
Risk management approaches that do not incorporate randomly changing volatility tend to under- or overestimate the risk depending on current market conditions. We show how some popular stochastic volatility models in combination with the hyperbolic model introduced in Eberlein and Keller (1995) can be applied quite easily for risk management purposes. Moreover, we compare their relative performance on the basis of German stock index data.
Intellectual Contribution:
Discipline-based Research
Journal title:
Journal of Risk
Year:
2003
Journal volume:
5
Journal issue:
2
Pages contribution:
19-44
Language:
en
Key publication:
Nein
Peer reviewed:
Ja
International:
Ja
Book review:
Nein
Commissioned:
not commissioned
Professional Journal:
Nein
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