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Main Authors: Sun, Fei, Zhou, Jieming
Format: Preprint
Published: 2018
Subjects:
Online Access:https://arxiv.org/abs/1812.06185
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author Sun, Fei
Zhou, Jieming
author_facet Sun, Fei
Zhou, Jieming
contents Systemic risk measures are crucial for the stability of financial markets, yet classical formulations fail to capture the complexity of market volatility. We propose a new framework for systemic risk measurement on the variable-exponent Bochner-Lebesgue space $L^{p(\cdot)}$, where the exponent $p(\cdot)$ is a random variable rather than a deterministic constant parameter, thereby inherently encoding latent market volatility. By constructing suitable deterministic auxiliary functions and single-firm risk measures, we decompose the quantification of systemic risk in $L^{p(\cdot)}$ into two sequential steps, ultimately deriving its dual representations. Several examples are provided to illustrate the theoretical results.
format Preprint
id arxiv_https___arxiv_org_abs_1812_06185
institution arXiv
publishDate 2018
record_format arxiv
spellingShingle Systemic risk measures with markets volatility
Sun, Fei
Zhou, Jieming
Risk Management
Systemic risk measures are crucial for the stability of financial markets, yet classical formulations fail to capture the complexity of market volatility. We propose a new framework for systemic risk measurement on the variable-exponent Bochner-Lebesgue space $L^{p(\cdot)}$, where the exponent $p(\cdot)$ is a random variable rather than a deterministic constant parameter, thereby inherently encoding latent market volatility. By constructing suitable deterministic auxiliary functions and single-firm risk measures, we decompose the quantification of systemic risk in $L^{p(\cdot)}$ into two sequential steps, ultimately deriving its dual representations. Several examples are provided to illustrate the theoretical results.
title Systemic risk measures with markets volatility
topic Risk Management
url https://arxiv.org/abs/1812.06185