用凯利启发的对流-扩散方程分析顺序投注.
Darrell Velegol1,2, Kyle J M Bishop3
1Department of Chemical Engineering, Penn State University, University Park, PA 16802, USA.
Entropy (Basel, Switzerland)
|July 26, 2024
概括
这项研究使用对流-扩散方程 (CDE) 建模了序列投注,提供了超越凯利标准的新视角. 该CDE方法提供了关于资金库的动态,任何数量级的最佳投注分数,以及崩概率的见解.
科学领域:
- 量化金融 量化金融
- 数学建模的数学建模
- 可能性理论概率理论.
背景情况:
- 凯利标准是一种确定最佳投注大小的策略.
- 连续投注涉及一系列独立的投注随着时间的推移.
- 了解银行资金动态和破产概率对于投注策略至关重要.
研究的目的:
- 使用对流-扩散方程 (CDE) 建模一个独立投注的序列.
- 将凯利标准的推导重新定义为在许多投注的极限内的一种CDE.
- 分析稳定增长和随机波动对银行资金预测的影响.
主要方法:
- 用对流-扩散方程 (CDE) 建模顺序投注.
- 在许多注的极限中,利用双项分布来获取和损失.
- 引入一个吸收边界条件来模拟废墟.
主要成果:
- CDE阐明了稳定增长 (速度U) 和随机波动 (扩散系数D) 的作用.
- CDE公式允许优化任何资金库的投注分数,而不仅仅是中位数.
- 废墟概率与无维的Péclet数有关,它代表了对流与扩散的比率.
结论:
- 将凯利标准与CDE重构,提供了新的分析可能性.
- CDE方法提供了一个强大的工具来分析连续的投注问题.
- 从化学物理文学中的见解可以应用于顺序注.
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