VECTOR | [3-0-0:3] |
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DESCRIPTION | This course addresses issues in both theoretical development and empirical studies of asset pricing. The theoretical part covers portfolio theory, arbitrage pricing theory with large numbers of assets, the intertemporal asset pricing model and the production-based asset pricing model. Topics related to derivative pricing are also covered. The empirical part covers asset return predictability, volatility-return relationship, asset pricing testing methodology, popular factor models used by practitioners and empirical findings in derivative markets. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6081) | We 01:30PM - 04:20PM | Rm 149, E1 | KWOK, YUE KUEN | 40 | 14 | 26 | 0 |
VECTOR | [3-0-0:3] |
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DESCRIPTION | This course covers Monte Carol simulation methods from the perspectives of derivatives pricing, credit risk modeling and trading strategies. The first topic starts with various sampling methods for generating random variables, like the basic inverse transform method and acceptance-rejection method. Special emphasis is placed on simulation of normal distributions. Next, we consider pricing financial derivatives via simulation. The dynamic price processes include the Geometric Brownian motion and jump diffusion models. Various variance reduction techniques, like the antithetic variate, control variate, conditioning and stratified sampling are considered. The solution of the optimal stopping model of an American option via the Longstaff-Schwartz regression method is discussed. We also consider rare event simulation via various importance sampling methods, like the mean drift method and cross entropy method. Applications in risk measures calculation in credit risk models, like the Gaussian copula models, are considered. |
Section | Date & Time | Room | Instructor | Quota | Enrol | Avail | Wait | Remarks |
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L01 (6226) | Th 10:30AM - 01:20PM | Rm 150, E1 | KWOK, YUE KUEN | 40 | 6 | 34 | 0 |