Bitte verwenden Sie diesen Link, um diese Publikation zu zitieren, oder auf sie als Internetquelle zu verweisen: https://hdl.handle.net/10419/258058 
Erscheinungsjahr: 
2020
Quellenangabe: 
[Journal:] Risks [ISSN:] 2227-9091 [Volume:] 8 [Issue:] 4 [Article No.:] 105 [Publisher:] MDPI [Place:] Basel [Year:] 2020 [Pages:] 1-22
Verlag: 
MDPI, Basel
Zusammenfassung: 
In the information-based pricing framework of Brody, Hughston & Macrina, the market filtration {F t } tÏ0 {Ft}tÏ0 is generated by an information process {ξ t } tÏ0 {ξt}tÏ0 defined in such a way that at some fixed time T an F T FT -measurable random variable X T XT is "revealed". A cash flow H T HT is taken to depend on the market factor X T XT , and one considers the valuation of a financial asset that delivers H T HT at time T. The value of the asset S t St at any time t∈[0,T) t∈[0,T) is the discounted conditional expectation of H T HT with respect to F t Ft , where the expectation is under the risk neutral measure and the interest rate is constant. Then S T − =H T ST−=HT , and S t =0 St=0 for tÏT tÏT . In the general situation one has a countable number of cash flows, and each cash flow can depend on a vector of market factors, each associated with an information process. In the present work we introduce a new process, which we call the normalized variance-gamma bridge. We show that the normalized variance-gamma bridge and the associated gamma bridge are jointly Markovian. From these processes, together with the specification of a market factor X T XT , we construct a so-called variance-gamma information process. The filtration is then taken to be generated by the information process together with the gamma bridge. We show that the resulting extended information process has the Markov property and hence can be used to develop pricing models for a variety of different financial assets, several examples of which are discussed in detail
Schlagwörter: 
information-based asset pricing
Lévy processes
gamma processes
variance gamma processes
Brownian bridges
gamma bridges
nonlinear filtering
Persistent Identifier der Erstveröffentlichung: 
Creative-Commons-Lizenz: 
cc-by Logo
Dokumentart: 
Article
Erscheint in der Sammlung:

Datei(en):
Datei
Größe





Publikationen in EconStor sind urheberrechtlich geschützt.