We consider the dynamics of forward rate process which is modeled by a parabolic type infinite-dimensional factor model with stochastic volatility. The parameters included in the stochastic volatility dynamics are estimated from the factor process as the observation data. Based on the maximum likelihood technique, we propose the off-line identification scheme and provide some numerical examples.
|Number of pages||9|
|Journal||International journal of innovative computing, information and control|
|Publication status||Published - Oct 2006|
Aihara, S., & Bagchi, A. (2006). Filtering and identification of stochastic volatility for parabolic type factor models. International journal of innovative computing, information and control, 2(2/5), 1-9.