Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
94 tokens/sec
Gemini 2.5 Pro Premium
55 tokens/sec
GPT-5 Medium
38 tokens/sec
GPT-5 High Premium
24 tokens/sec
GPT-4o
106 tokens/sec
DeepSeek R1 via Azure Premium
98 tokens/sec
GPT OSS 120B via Groq Premium
518 tokens/sec
Kimi K2 via Groq Premium
188 tokens/sec
2000 character limit reached

Heavy tail and light tail of Cox-Ingersoll-Ross processes with regime-switching (1709.01691v1)

Published 6 Sep 2017 in math.PR

Abstract: This work is denoted to studying the tail behavior of Cox-Ingersoll-Ross (CIR) processes with regime-switching. One essential difference shown in this work between CIR process with regime-switching and without regime-switching is that the stationary distribution for CIR process with regime-switching could be heavy-tailed. Our results provide a theoretical evidence of the existence of regime-switching for interest rates model based on its heavy-tailed empirical evidence. In this work, we first provide sharp criteria to justify the existence of stationary distribution for the CIR process with regime-switching, which is applied to study the long term returns of interest rates. Then under the existence of the stationary distribution, we provide a criterion to justify whether its stationary distribution is heavy-tailed or not.

Summary

We haven't generated a summary for this paper yet.

Dice Question Streamline Icon: https://streamlinehq.com

Follow-up Questions

We haven't generated follow-up questions for this paper yet.

Don't miss out on important new AI/ML research

See which papers are being discussed right now on X, Reddit, and more:

“Emergent Mind helps me see which AI papers have caught fire online.”

Philip

Philip

Creator, AI Explained on YouTube