In this article we apply the multi dimensional self exciting negative binomial distribution (SE-NBD) process to the default portfolios which have 13 sectors. SE-NBD process is the Poisson process with the gamma distributed intensity function. We extend SE-NBD process to the multi dimensional process. Using the multi dimensional SE-NBD process (MD-SE-NBD), we can estimate the interactions of among these sectors as the network. Applying the impact analysis, we can classify the upstream and downstream sectors. The upstream sectors are the real estate and financial institution (FI) sectors. From these upstream sectors the shock spreads to the downstream sectors and returns to the upstream sectors. This is the amplifier of the shock. It is consistent with the narrative understandings of the bubble burst. We compare these results to the multi dimensional Hawkes process (MD-Hawkes) which has the zero variance intensity function.
翻译:在本篇文章中,我们将多维自我刺激的负二元分布(SE-NBD)进程应用于13个部门的默认组合。SE-NBD进程是具有伽马分布强度功能的 Poisson进程。我们将SE-NBD进程扩大到多维进程。我们用多维SE-NBD进程(MD-SE-NBD进程)来估计这些部门作为网络的相互作用。运用影响分析,我们可以将上游和下游部门分类。上游部门是房地产和金融机构部门。从这些上游部门来看,冲击蔓延到下游部门,并返回上游部门。这是冲击的放大器。它与泡沫爆破的叙述性理解是一致的。我们把这些结果与具有零差异强度功能的多维霍克斯进程(MD-Hawkes)相比较。