Broken Symmetry of Stock Returns—A Modified Jones–Faddy Skew t-Distribution

We argue that negative skew and positive mean of the distribution of stock returns are largely due to the broken symmetry of stochastic volatility governing gains and losses. Starting with stochastic differential equations for stock returns and for stochastic volatility, we argue that the distribution of stock returns can be effectively split in two—for gains and losses—assuming difference in parameters of their respective stochastic volatilities. A modified Jones–Faddy skew t-distribution utilized here allows to reflect this in a single organic distribution which tends to meaningfully capture this asymmetry. We illustrate its application on distribution of daily S&P500 returns and analyze its tails.

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Publication Details

Journal
Economies
Published
2026-03-09
DOI
https://doi.org/10.3390/economies14030084
Primary Topic
Complex Systems and Time Series Analysis
Type
article
Field-Weighted Citation Impact
0.00
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article

Broken Symmetry of Stock Returns—A Modified Jones–Faddy Skew t-Distribution

Hamed Farahani, Siqi Shao, R. A. Serota, Arshia Ghasemi
Economies
Complex Systems and Time Series Analysis
article

Broken Symmetry of Stock Returns—A Modified Jones–Faddy Skew t-Distribution

Hamed Farahani, Siqi Shao, R. A. Serota, Arshia Ghasemi
article en

Abstract

We argue that negative skew and positive mean of the distribution of stock returns are largely due to the broken symmetry of stochastic volatility governing gains and losses. Starting with stochastic differential equations for stock returns and for stochastic volatility, we argue that the distribution of stock returns can be effectively split in two—for gains and losses—assuming difference in parameters of their respective stochastic volatilities. A modified Jones–Faddy skew t-distribution utilized here allows to reflect this in a single organic distribution which tends to meaningfully capture this asymmetry. We illustrate its application on distribution of daily S&P500 returns and analyze its tails.

EconomiesVol. 14(3)
University of Cincinnati (US)
Openalex Percentile: Top 33%
Complex Systems and Time Series Analysis
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