Arbeitspapier

Adaptive estimation for a time inhomogeneous stochastic-volatility model

Let a process SI , ... ,ST obey the conditionally heteroskedastic equation St = Vt Et whcrc Et is a random noise and Vt is the volatility coefficient which in turn obeys an autoregression type equation log v t = w + a S t- l + nt with an additional noise nt. We consider the situation which the parameters w and a might also depend on the time t, and we study the problem of online estimation of current values of w = w(T) and a = a(T) from the observations SI , ... ,ST. We propose an adaptive method of estimation which does not use any information about time homogenity of the obscured process. We apply this model to two series of FX daily returns on DEM/USD and GBP/USD.

Language
Englisch

Bibliographic citation
Series: SFB 373 Discussion Paper ; No. 2000,6

Classification
Wirtschaft

Event
Geistige Schöpfung
(who)
Härdle, Wolfgang
Spokoiny, Vladimir G.
Teyssière, Gilles
Event
Veröffentlichung
(who)
Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes
(where)
Berlin
(when)
2000

Handle
URN
urn:nbn:de:kobv:11-10047109
Last update
10.03.2025, 11:44 AM CET

Data provider

This object is provided by:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. If you have any questions about the object, please contact the data provider.

Object type

  • Arbeitspapier

Associated

  • Härdle, Wolfgang
  • Spokoiny, Vladimir G.
  • Teyssière, Gilles
  • Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes

Time of origin

  • 2000

Other Objects (12)