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Titel:

Structural Credit Modeling under Stochastic Volatility

Dokumenttyp:
Zeitschriftenaufsatz
Autor(en):
Escobar, M.; Friederich, T.; Krayzler, M.; Seco, L.; Zagst, R.
Nicht-TUM Koautoren:
ja
Kooperation:
international
Abstract:
This paper presents a structural credit model with underlying stochastic volatility, a CIR process, combining the Black/Cox framework with the Heston Model. We allow to calibrate a Heston Model for a non-observable process as underlying of the Black/Cox Model. A closed-form solution for the price of a down-and-out call option on the assets with the debt as barrier and strike price is derived using the concept of optional sampling. Furthermore, estimators are derived with the Method of Moments fo...     »
Intellectual Contribution:
Discipline-based Research
Zeitschriftentitel:
International Journal of Statistics and Probability
Jahr:
2012
Band / Volume:
1
Heft / Issue:
1
Seitenangaben Beitrag:
20 - 35
Reviewed:
ja
Sprache:
en
Format:
Text
Key publication:
Nein
Peer reviewed:
Ja
International:
Nein
Book review:
Nein
commissioned:
not commissioned
Professional Journal:
Nein
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