<?xml version="1.1" encoding="utf-8"?>
<article xsi:noNamespaceSchemaLocation="http://jats.nlm.nih.gov/publishing/1.1/xsd/JATS-journalpublishing1-mathml3.xsd" dtd-version="1.1" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><front><journal-meta><journal-id journal-id-type="publisher-id">PBES</journal-id><journal-title-group><journal-title>Proceedings of Business and Economic Studies</journal-title></journal-title-group><issn>2209-2641</issn><eissn>2209-265X</eissn><publisher><publisher-name>Bio-Byword Scientific Publishing Pty. Ltd.</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.18063/PBES.v9i8.15141</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>Chinese Retail Investors’ Asset Allocation amid Regime Shifts in Gold–A-Share Correlation</title><url>https://artdesignp.com/journal/PBES/9/8/10.18063/PBES.v9i8.15141</url><author>ZhongXinyue</author><pub-date pub-type="publication-year"><year>2026</year></pub-date><volume>9</volume><issue>8</issue><history><date date-type="pub"><published-time>2026-08-31</published-time></date></history><abstract>By 2026, the relationship between gold prices and A-share indices in China&amp;rsquo;s domestic market had shifted from a traditional negative correlation to a sustained positive correlation, indicating structural deterioration in gold&amp;rsquo;s safe-haven attributes and a transition toward a new steady-state of asset correlation. Despite this market transformation, retail investors largely adhered to conventional investment paradigms, frequently exhibiting irrational allocation behaviors. Grounded in behavioral finance, dynamic correlation theory, and modern portfolio theory, this study combines literature review, theoretical analysis, questionnaire surveys, and statistical testing methods to examine 313 A-share retail investors, investigating their asset allocation patterns, behavioral biases, and influencing factors under the new correlation dynamics. The findings reveal that investors actively adjust their equity allocations during such transitional periods, yet their decisions remain markedly impulsive and irrational; behavioral biases including risk perception distortions, mental accounting effects, experience anchoring, and herd behavior are significantly amplified, undermining rational asset allocation; extreme market fluctuations diminish the influence of individual characteristics such as risk appetite, age, income, and investment duration. These findings provide empirical evidence for understanding retail investor behavior under regime shifts and offer practical implications for investor education and capital market risk management.</abstract><keywords>Gold–stock market correlation, Correlation regime shift, Retail investors, Asset allocation, Behavioral bias</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>[1] Baur DG, Lucey BM, 2010, Is Gold a Hedge or a Safe Haven? An Analysis of Stocks, Bonds and Gold.&amp;nbsp;The Financial Review, 45(2): 217&amp;ndash;229.&amp;nbsp;https://doi.org/10.1111/j.1540-6288.2010.00244.x
[2] Faraj H, McMillan D, Al-Sabah M, 2025, The Diminishing Lustre: Gold&amp;rsquo;s Market Volatility and the Fading Safe Haven Effect.&amp;nbsp;Global Finance Journal, 67, 101145.&amp;nbsp;https://doi.org/10.1016/j.gfj.2025.101145
[3] Li LF, 2025, An In-Depth Analysis of the A-Share Investor Structure (2025Q1) [Securities Research Report]. Huaxi Securities Research Institute.
[4] Markowitz H, 1952, Portfolio Selection.&amp;nbsp;The Journal of Finance, 7(1): 77&amp;ndash;91.&amp;nbsp;https://doi.org/10.1111/j.1540-6261.1952.tb01525.x
[5] Zhang F, Ma Y, Liu X, et al., 2025, Revisiting the Hedging and Safe Haven Roles of Gold: Evidence from Quantile-on-Quantile Approach.&amp;nbsp;North American Journal of Economics and Finance, 80: 102516.&amp;nbsp;https://doi.org/10.1016/j.najef.2025.102516
[6] Zou ZF, Zhang C, Sun XY, 2024, Risk Spillovers among Crude Oil, Gold, and China Equity Sub-Sectors.&amp;nbsp;Cogent Economics Finance, 12(1): 2431536.&amp;nbsp;https://doi.org/10.1080/23322039.2024.2431536
[7] Katenova T, et al., 2025, Behavioral Finance in the Sphere of Investment: Systematic Review of Literature between 2020 and 2025.&amp;nbsp;F1000Research, 14: 587.&amp;nbsp;https://doi.org/10.12688/f1000research.161234.1
[8] Sharma S, Negi V, 2025, Effect of Behavioural Biases on Investors&amp;rsquo; Decision Making: A Systematic Literature Review.&amp;nbsp;Metamorphosis, 24(1): 105&amp;ndash;113.&amp;nbsp;https://doi.org/10.1177/09726225251310842
[9] Kanapickienė R, et al., 2024, Demystifying Disposition Effect: Past, Present and Future.&amp;nbsp;Journal of Economic Psychology, 102: 102736.&amp;nbsp;https://doi.org/10.1016/j.joep.2024.102736
[10] Engle R, 2002, Dynamic Conditional Correlation: A Simple Class of Multivariate Generalized Autoregressive Conditional Heteroskedasticity Models.&amp;nbsp;Journal of Business Economic Statistics, 20(3): 339&amp;ndash;350.&amp;nbsp;https://doi.org/10.1198/073500102288618487
[11] Kahneman D, Tversky A, 1979, Prospect Theory: An Analysis of Decision under Risk.&amp;nbsp;Econometrica, 47(2): 263&amp;ndash;291.&amp;nbsp;https://doi.org/10.2307/1914185
[12] Shefrin H, Statman M, 1985, The Disposition to Sell Winners Too Early and Ride Losers Too Long: Theory and Evidence.&amp;nbsp;The Journal of Finance, 40(3): 777&amp;ndash;790.&amp;nbsp;https://doi.org/10.1111/j.1540-6261.1985.tb05002.x
[13] Bikhchandani S, Sharma S, 2000, Herd Behavior in Financial Markets: A Review&amp;nbsp;(IMF Working Paper No. 00/48, International Monetary Fund.&amp;nbsp;https://www.imf.org/en/Publications/WP/Issues/2016/12/30/Herd-Behavior-in-Financial-Markets-A-Review-3512
[14] Thaler, RH, 1999, Mental Accounting Matters.&amp;nbsp;Journal of Behavioral Decision Making, 12(3): 183&amp;ndash;206.&amp;nbsp;https://doi.org/10.1002/(SICI)1099-0771(199909)12:3
[15] Ngene GM, Mungai AN, Hassan MK, 2025, Hedging with Gold, Correlation Cycles and Risk Aversion: Evidence from Global Economic Sectors.&amp;nbsp;International Journal of Finance and Economics, 31(2): 1606&amp;ndash;1626.&amp;nbsp;https://doi.org/10.1002/ijfe.70006
[16] CITIC Construction Securities, 2026, Asset Correlation and Its Impact on the A-Share Market&amp;nbsp;[Research Report]. CITIC Construction Securities Research Institute.
[17] World Gold Council, 2025,&amp;nbsp;Gold Outlook 2026.&amp;nbsp;https://www.gold.org
[18] Bing X, 2026, June 6, Robin Brooks: Gold&amp;rsquo;s Correlation with the S&amp;amp;P 500 Tops 0.50, Matching Bitcoin.&amp;nbsp;https://bingx.com/en/flash-news/post/robin-brooks-says-gold-s-p-correlation-tops-matching-bitcoin-near-in-late-to-early
[19] Stanley M, 2026, May 5, Is Gold Still a Safe Haven? A Test for Gold&amp;rsquo;s Safe-Haven Status.&amp;nbsp;https://prod-mssip.morganstanley.com/insights/articles/gold-prices-safe-haven-status-reality-check-iran-conflict
[20] World Gold Council, 2026, April 16, Has Gold&amp;rsquo;s Performance Structurally Changed?&amp;nbsp;(Q&amp;amp;A). https://www.gold.org/goldhub/gold-focus/2026/04/you-asked-we-answered-has-golds-performance-structurally-changed
[21] Shanghai Stock Exchange, 2026, April, New A-Share Account Openings in Q1 2026&amp;nbsp;[Statistical table].&amp;nbsp;http://www.sse.com.cn
[22] Eastmoney, 2026, April 2, New A-Share Account Openings Reached 12.04 Million in Q1, Up Over 60% Year-on-Year.&amp;nbsp;https://finance.eastmoney.com/a/202604023693881052.html</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
