Estimation of the Stochastic Volatility Model by the Empirical Characteristic Function Method |
| |
Authors: | John L Knight Stephen E Satchell & Jun Yu |
| |
Institution: | University of Western Ontario,;University of Cambridge,;University of Auckland |
| |
Abstract: | The stochastic volatility model has no closed form for its likelihood and hence the maximum likelihood estimation method is difficult to implement. However, it can be shown that the model has a known characteristic function. As a consequence, the model is estimable via the empirical characteristic function. In this paper, the characteristic function of the model is derived and the estimation procedure is discussed. An application is considered for daily returns of Australian/New Zealand dollar exchange rate. Model checking suggests that the stochastic volatility model together with the empirical characteristic function estimates fit the data well. |
| |
Keywords: | empirical characteristic function financial data stochastic volatility |
|