Liquidity Premium, Liquidity-Adjusted Return and Volatility, and Extreme Liquidity

Fuente: arXiv
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Autores principales: Deng, Qi, Zhou, Zhong-guo
Formato: Preprint
Publicado: 2023
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author Deng, Qi
Zhou, Zhong-guo
author_facet Deng, Qi
Zhou, Zhong-guo
contents We establish innovative liquidity premium measures, and construct liquidity-adjusted return and volatility to model assets with extreme liquidity, represented by a portfolio of selected crypto assets, and upon which we develop a set of liquidity-adjusted ARMA-GARCH/EGARCH models. We demonstrate that these models produce superior predictability at extreme liquidity to their traditional counterparts. We provide empirical support by comparing the performances of a series of Mean Variance portfolios.
format Preprint
id arxiv_https___arxiv_org_abs_2306_15807
institution arXiv
publishDate 2023
record_format arxiv
spellingShingle Liquidity Premium, Liquidity-Adjusted Return and Volatility, and Extreme Liquidity
Deng, Qi
Zhou, Zhong-guo
Portfolio Management
Computational Finance
General Finance
Risk Management
Statistical Finance
We establish innovative liquidity premium measures, and construct liquidity-adjusted return and volatility to model assets with extreme liquidity, represented by a portfolio of selected crypto assets, and upon which we develop a set of liquidity-adjusted ARMA-GARCH/EGARCH models. We demonstrate that these models produce superior predictability at extreme liquidity to their traditional counterparts. We provide empirical support by comparing the performances of a series of Mean Variance portfolios.
title Liquidity Premium, Liquidity-Adjusted Return and Volatility, and Extreme Liquidity
topic Portfolio Management
Computational Finance
General Finance
Risk Management
Statistical Finance
url https://arxiv.org/abs/2306.15807