Journal article
Drift and volatility estimation in discrete time
Journal of economic dynamics & control, Vol.22(2), pp.209-218
02/01/1998
DOI: 10.1016/S0165-1889(97)00052-3
Abstract
In discrete time the increment of the logarithm of the price of a risky asset is supposed to involve two parameters which may be thought of as the ‘drift’ and ‘volatility’. It is assumed these parameters take finitely many values, and that they change value like a Markov chain on this state space. Filtering and parameter estimation techniques from Hidden Markov Models are then applied to obtain recursive estimates of the ‘drift’ and ‘volatility’. Further, all parameters in the model can be estimated. The method is illustrated by applying the results to two series of prices.
Details
- Title: Subtitle
- Drift and volatility estimation in discrete time
- Creators
- Robert J. Elliott - University of AlbertaWilliam C. Hunter - Federal Reserve Bank of ChicagoBarbara M. Jamieson - University of Alberta
- Resource Type
- Journal article
- Publication Details
- Journal of economic dynamics & control, Vol.22(2), pp.209-218
- DOI
- 10.1016/S0165-1889(97)00052-3
- ISSN
- 0165-1889
- eISSN
- 1879-1743
- Publisher
- Elsevier B.V
- Number of pages
- 10
- Language
- English
- Date published
- 02/01/1998
- Academic Unit
- Finance
- Record Identifier
- 9984962887602771
Metrics
1 Record Views