Bi-Directional Grid Constrained (BGC) stochastic processes (BGCSPs) constrain the random movement toward the origin steadily more and more, the further they deviate from the origin, rather than all at once imposing reflective barriers, as does the well-established theory of It^o diffusions with such reflective barriers. We identify that BGCSPs are a variant rather than a special case of the multi-skew Brownian motion (M-SBM). This is because they have their own complexities, such as the barriers being hidden (not known in advance) and not necessarily constant over time. We provide an M-SBM theoretical framework and also a simulation framework to elaborate deeper properties of BGCSPs. The simulation framework is then applied by generating numerous simulations of the constrained paths and the results are analysed. BGCSPs have applications in finance and indeed many other fields requiring graduated constraining, from both above and below the initial position.
翻译:双向网格控制(BGC)随机向源码移动的过程(BGCSP)越来越稳定地限制着随机向源码移动,它们越是越是偏离源码,而不是同时设置反射障碍,以及久已确立的具有反射障碍的Itço扩散理论。我们发现,BGCSP是一个变体,而不是多skew Brownian运动(M-SBM)的一个特殊案例。这是因为它们有其自身的复杂性,如隐藏的(事先不为人知)障碍,而不一定长期不变。我们提供了一个M-SBM理论框架和一个模拟框架,以阐述BGCSP的更深的特性。然后,通过对受限路径进行多次模拟和分析结果来应用模拟框架。BGCSP在金融方面有各种应用,实际上还有其他许多领域需要从最初位置以上和以下逐步升级的限制。