An Instrumented Principal Component Analysis Factor Model for Chinese Equity Options Returns

ABSTRACT The equity options market plays a vital role in advancing China's capital market by enriching investor tools and enhancing risk management. However, traditional factor models struggle to capture the complex features of options, such as short maturities and changing moneyness. This paper applies the Instrumented Principal Component Analysis (IPCA) to model option returns using detailed contract, trading, and sensitivity data from SSE 50 ETF options. Empirical results show that a 4‐factor IPCA model explains nearly 85% of the monthly variation in delta‐hedged returns from 2015 to 2023; outperforming traditional factor models and standard PCA. These findings highlight IPCA's effectiveness in identifying systematic risk in China's unique market environment and its potential to enhance portfolio efficiency and risk understanding.

Authors

Publication Details

Journal
Accounting and Finance
Published
2025-09-12
DOI
https://doi.org/10.1111/acfi.70082
Citations
1
Primary Topic
Market Dynamics and Volatility
Type
article
Field-Weighted Citation Impact
3.13

Funders

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An Instrumented Principal Component Analysis Factor Model for Chinese Equity Options Returns

Yang HaiSheng, X. D. Li, Jianfeng Liang, H.F. Zhou et al.
1 citations
Accounting and Finance
Market Dynamics and Volatility
3.13
article

An Instrumented Principal Component Analysis Factor Model for Chinese Equity Options Returns

Yang HaiSheng, X. D. Li, Jianfeng Liang, H.F. Zhou, Yanchu Liu
article en
1 citations

Abstract

ABSTRACT The equity options market plays a vital role in advancing China's capital market by enriching investor tools and enhancing risk management. However, traditional factor models struggle to capture the complex features of options, such as short maturities and changing moneyness. This paper applies the Instrumented Principal Component Analysis (IPCA) to model option returns using detailed contract, trading, and sensitivity data from SSE 50 ETF options. Empirical results show that a 4‐factor IPCA model explains nearly 85% of the monthly variation in delta‐hedged returns from 2015 to 2023; outperforming traditional factor models and standard PCA. These findings highlight IPCA's effectiveness in identifying systematic risk in China's unique market environment and its potential to enhance portfolio efficiency and risk understanding.

Accounting and FinanceVol. 65(5)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities, Basic and Applied Basic Research Foundation of Guangdong Province
Openalex Percentile: Top 6%
Market Dynamics and Volatility
3.13
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