Multi-Dimensional self-exciting NBD process and Default portfolios

التفاصيل البيبلوغرافية
العنوان: Multi-Dimensional self-exciting NBD process and Default portfolios
المؤلفون: Masato Hisakado, Kodai Hattori, Shintaro Mori
المصدر: arXiv.org, Papers.
الوصف: In this study, we apply a multidimensional self-exciting negative binomial distribution (SE-NBD) process to default portfolios with 13 sectors. The SE-NBD process is a Poisson process with a gamma-distributed intensity function. We extend the SE-NBD process to a multidimensional process. Using the multidimensional SE-NBD process (MD-SE-NBD), we can estimate interactions between these 13 sectors as a network. By applying impact analysis, we can classify upstream and downstream sectors. The upstream sectors are real-estate and financial institution (FI) sectors. From these upstream sectors, shock spreads to the downstream sectors. This is an amplifier of the shock. This is consistent with the analysis of bubble bursts. We compare these results to the multidimensional Hawkes process (MD-Hawkes) that has a zero-variance intensity function.
Original Identifier: 2205.14146
نوع الوثيقة: redif-paper
اللغة: English
الإتاحة: https://ideas.repec.org/p/arx/papers/2205.14146.html
رقم الأكسشن: edsrep.p.arx.papers.2205.14146
قاعدة البيانات: RePEc