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Comparing the Results of an Exploration Portfolio Optimized Using Utility Theory Versus the Kelly Criterion

机译:使用实用工具理论优化的探索产品组合的结果与凯利标准进行了比较

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Both the Kelly Criterion and risk aversion using utility theory are methods that attempt to mitigate the risk of gambler's ruin through capital management by suggesting working interest levels for each project. Utility theory uses an assigned risk tolerance and a natural log utility function to calculate the optimum working interest for a project. The modified Kelly method does not use a utility function but rather a geometric mean-based valuation derived from the ratio of the expected value to the net present value. This ratio, called the Kelly Criterion, is a guide for capital allocation to a project as the percent of the total capital available. When the total recommended cost of all the projects exceeds the budget, the combined portfolio is optimized by further adjusting the working interest using a linear programming technique, such as Excel's ~(TM) Solver. This optimization process was described by MacKay (1995) at a previous HEES Symposium (SPE 30043). The objective of this paper is to compare the procedure described by MacKay (1995) to a similar procedure using the modified Kelly method. The Kelly Criterion is currently used for financial investment decisions (Lee, 2006) and described in the book "Fortune's Formula" by Poundstone (2005).
机译:使用实用理论的凯利标准和风险厌恶都是试图通过建议每个项目的工作利息级别来减轻赌徒废墟的风险的方法。实用程序使用指定的风险公差和自然日志实用程序功能来计算项目的最佳工作兴趣。修改的kelly方法不使用实用程序功能,而是从预期值与净现值的比率导出的几何平均值估值。这种比例称为凯利标准,是作为项目的资本分配指南,作为可用总资本的百分比。当所有项目的推荐费用超过预算时,通过使用线性规划技术进一步调整工作兴趣,例如Excel的〜(TM)求解器,优化组合优化了组合。这种优化过程由Mackay(1995)描述了先前的HEES研讨会(SPE 30043)。本文的目的是将Mackay(1995)描述的程序与使用改进的凯利方法进行了类似程序的比较。 Kelly标准目前用于金融投资决策(LEE,2006),并在“财富公式”书中描述(2005年)。

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