A New Distribution-Random Limit Normal Distribution
Xiaolin Gong, Shuzhen Yang

TL;DR
This paper proposes a novel distribution derived from the normal distribution using heat equations to better model tail risks, validated with market data.
Contribution
It introduces a new distribution based on heat equations to enhance tail risk modeling capabilities.
Findings
Model effectively captures tail risks in market data
New distribution outperforms classical normal in risk estimation
Validated with empirical market data
Abstract
This paper introduces a new distribution to improve tail risk modeling. Based on the classical normal distribution, we define a new distribution by a series of heat equations. Then, we use market data to verify our model.
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Taxonomy
TopicsRisk and Portfolio Optimization · Insurance and Financial Risk Management · Financial Risk and Volatility Modeling
