<?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">SE</journal-id><journal-title-group><journal-title>Society and Economy</journal-title></journal-title-group><issn>2995-4959</issn><eissn>2995-4975</eissn><publisher><publisher-name>Art and Design</publisher-name></publisher></journal-meta><article-meta><article-id pub-id-type="doi">10.61369/SE.2025080006</article-id><article-categories><subj-group subj-group-type="heading"><subject>Article</subject></subj-group></article-categories><title>投资者彩票偏好与Beta异象——来自中国股市的证据</title><url>https://artdesignp.com/journal/SE/3/8/10.61369/SE.2025080006</url><author>陈泽坤</author><pub-date pub-type="publication-year"><year>2025</year></pub-date><volume>3</volume><issue>8</issue><history><date date-type="pub"><published-time>2025-08-20</published-time></date></history><abstract>本文基于2005&amp;mdash;2025年中国A股市场数据，系统检验了Beta异象的存在性，并从行为金融视角考察投资者彩票偏好对该异象的影响机制。通过构建Dimson-Vasicek修正Beta指标与彩票型收益特征变量（MAX），并采用投资组合分析与时序回归方法进行研究。研究发现：中国股市存在显著且稳健的Beta异象，低Beta组合能够持续获得未被传统资产定价模型解释的正超额收益；同时，投资者对具有极端正收益特征的彩票型股票存在显著偏好，推高其当前价格并导致未来收益被高估。进一步双重排序分析表明，彩票偏好与Beta异象之间存在非单调的交互作用，其在低与高彩票偏好分组中表现尤为显著，而在中间分组作用较弱，说明彩票偏好是影响异象的重要行为机制，但并非唯一驱动因素。本研究为行为资产定价理论提供了来自中国市场的经验证据，对投资策略构建与市场监管也具有参考意义。</abstract><keywords>Beta异象,彩票偏好,资产定价</keywords></article-meta></front><body/><back><ref-list><ref id="B1" content-type="article"><label>1</label><element-citation publication-type="journal"><p>&amp;nbsp;[1] Sharpe W F. Capital asset prices: A theory of market equilibrium under conditions of risk[J]. The journal of finance, 1964,19(3):425-442.&amp;nbsp;[2] Black F, Jensen M C, Scholes M. The capital asset pricing model: Some empirical tests[J].1972.&amp;nbsp;[3]姜圆.套利限制、投资者情绪与倒&amp;ldquo;V&amp;rdquo;型证券市场线&amp;mdash;&amp;mdash;基于我国A股市场的证据[J].投资研究,2019,38(11):48-64.&amp;nbsp;[4] Fama E F, French K R. Common Risk Factors in the Returns on Stocks and Bonds [J]. Journal of Financial Economics, 1993(1): 3-56.&amp;nbsp;[5] Fama E F, French K R. A five-factor asset pricing model[J]. Journal of financial economics, 2015, 116(1): 1-22.&amp;nbsp;[6] Bali T G, Brown S J, Murray S, et al. A lottery-demand-based explanation of the beta anomaly[J]. Journal of Financial and Quantitative Analysis, 2017, 52(6): 2369-2397.&amp;nbsp;[7]崔惠颖,王志强.博彩型股票的识别分析&amp;mdash;&amp;mdash;来自中国股票市场的经验证据[J].商业经济与管理,2016,(05):86-96.&amp;nbsp;[8] Liu J, Stambaugh R F, Yuan Y. Absolving beta of volatility&amp;rsquo;s effects[J]. Journal of Financial Economics, 2018, 128(1): 1-15.&amp;nbsp;[9] Dimson E. Risk measurement when shares are subject to infrequent trading[J]. Journal of financial economics, 1979, 7(2): 197-226.&amp;nbsp;[10] Vasicek O A. A note on using cross-sectional information in Bayesian estimation of security betas[J]. The Journal of Finance, 1973, 28(5): 1233-1239</p><pub-id pub-id-type="doi"/></element-citation></ref></ref-list></back></article>
