| Abstract: |
| We investigate the daily share prices of stock index to estimate its random volatility using a jump diffusion model. The volatility is estimated by the historical volatility from the observation of daily share prices. We focus on the relation between the historical volatility and the number of jumps of the share prices and estimate the optimal number of observed days for the historical volatility. |
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