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EFFICIENT ESTIMATION OF OPTION PRICE AND PRICE SENSITIVITIES VIA STRUCTURED DATABASE MONTE CARLO (SDMC)

机译:通过结构化数据库Monte Carlo(SDMC)有效估计期权价格和价格敏感性

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摘要

We describe how to develop generic efficient simulation algorithms for estimating price and price sensitivities (the Greeks) of financial options using the Structured Database Monte Carlo (SDMC) approach. These algorithms are based on stratification, control variate and a combination of the two in an SDMC setting. Experimental results and some discussion of the effectiveness of the approach are provided. The algorithms also serve as illustrations of the basic approach of developing variance reduction algorithms in an SDMC setting that are not necessarily limited to stratification and control variate techniques.
机译:我们介绍了如何使用结构化数据库蒙特卡罗(SDMC)方法来介绍估算金融选择的价格和价格敏感度(希腊语)的通用高效仿真算法。这些算法基于分层,控制变化和两个在SDMC设置中的组合。提供了实验结果和对方法的有效性的一些讨论。该算法还用作在SDMC设置中开发方差减少算法的基本方法的图示,其不必限于分层和控制变化技术。

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