arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 2103.02731math.PR
收藏

BGC随机过程的重对数界

Iterated Logarithm Bounds of BGC Stochastic Processes

A. Taranto, S. Khan, R. Addie

摘要:

我们推导出一个新的框架,称为双向网格约束(BGC)随机过程中,进一步的伊藤扩散漂移远离原点,那么它将受到约束。通过对重对数律(LIL)作适当的修正,得到了BGC过程的上、下界及其隐势垒的一个新定理。为了使定理可视化,我们在BGC之前和之后对lambda(X,t)的代表性表达式进行了多次伊藤扩散模拟,并发现了一些有趣的结果,这些结果应用于金融和许多其他领域。

英文摘要:

We derive a novel framework called Bi-Directional Grid Constrained (BGC) stochastic processes in which the further an Ito diffusion drifts away from the origin, then the further it will be constrained. By making suitable modifications to the Law of Iterated Logarithm (LIL), we derive a novel theorem about the upper and lower bounds for BGC processes and their hidden barrier. To visualize the theorem, we run many simulations of the Ito diffusions for a representative expression for lambda(X, t), both before and after BGC and uncover some interesting results with applications into finance and many other areas.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑