Skewness preference and the measurement of abnormal returns

被引:5
|
作者
Mishra, Suchisnuta
Prakash, Arun J. [1 ]
Karels, Gordon V.
Pactwa, Therese E.
机构
[1] Florida Int Univ, Miami, FL 33199 USA
[2] Univ Nebraska, Lincoln, NE USA
[3] St Johns Univ, New York, NY USA
关键词
STOCK SPLITS; MARKET-EFFICIENCY; RISK ASSETS; PERFORMANCE; PORTFOLIOS; VALUATION; INVESTMENTS; MANAGEMENT; DIVIDENDS; SELECTION;
D O I
10.1080/00036840500439077
中图分类号
F [经济];
学科分类号
02 ;
摘要
In performing an empirical analysis of stock market returns there are certain conditions under which the quadratic characteristic line (QCL) will be the appropriate return-generating process compared to the linear characteristic line (LCL). These conditions are whether the parameter associated with the squared market term (the deviation from the mean) is significantly different from zero and whether the return on the market portfolio is asymmetrically distributed (or skewness is present). Examining abnormal returns surrounding stock splits, we find that these conditions hold for our data set. Having ascertained that the conditions for QCL hold, we find that the cumulative average returns (CARs) obtained using QCL dominate the CARs obtained using LCL in the event time and the CAR space for the dividend-increase sub-sample. Furthermore, the standardized abnormal returns for the QCL model are significantly different than those obtained using the LCL model. We find that neither the LCL nor the QCL paradigm reveals any statistically significant abnormal return for the dividend-decrease group. However, for the dividend-decrease group, the CARs for the LCL model dominate the CARs for the QCL model. The standardized abnormal returns for the QCL model are also significantly different than those of the LCL model. Using QCL, we find support for the signalling hypothesis of dividends. We also find that the extent of investor reaction obtained using QCL is statistically significantly different than that obtained using the LCL.
引用
收藏
页码:739 / 757
页数:19
相关论文
共 50 条
  • [41] Can Real Options Explain the Skewness of Stock Returns?
    Ho, Tuan
    Kim, Kirak
    Li, Yang
    Xu, Fangming
    JOURNAL OF BANKING & FINANCE, 2023, 148
  • [42] Investors' Risk Preference Characteristics and Conditional Skewness
    Wen, Fenghua
    He, Zhifang
    Chen, Xiaohong
    MATHEMATICAL PROBLEMS IN ENGINEERING, 2014, 2014
  • [43] IMPLICATIONS OF SKEWNESS IN RETURNS FOR UTILITIES COST OF EQUITY CAPITAL
    CONINE, TE
    TAMARKIN, M
    FINANCIAL MANAGEMENT, 1985, 14 (04) : 66 - 71
  • [44] The skewness of oil price returns and equity premium predictability
    Dai, Zhifeng
    Zhou, Huiting
    Kang, Jie
    Wen, Fenghua
    ENERGY ECONOMICS, 2021, 94
  • [45] Skewness preference and IPO underpricing: International evidence
    Cho, Eunyoung
    Kim, Woojin
    RESEARCH IN INTERNATIONAL BUSINESS AND FINANCE, 2023, 66
  • [46] Market skewness risk and the cross section of stock returns
    Chang, Bo Young
    Christoffersen, Peter
    Jacobs, Kris
    JOURNAL OF FINANCIAL ECONOMICS, 2013, 107 (01) : 46 - 68
  • [47] Book-to-Market Ratio and Skewness of Stock Returns
    Zhang, Xiao-Jun
    ACCOUNTING REVIEW, 2013, 88 (06): : 2213 - 2240
  • [48] Skewness risk and the cross-section of cryptocurrency returns
    Liu, Yakun
    Chen, Yan
    INTERNATIONAL REVIEW OF FINANCIAL ANALYSIS, 2024, 96
  • [49] Bitcoin Returns and the Frequency of Daily Abnormal Returns
    Caporale, Guglielmo Maria
    Plastun, Alex
    Oliinyk, Viktor
    LEDGER, 2021, 6 : 17 - 41
  • [50] Do outliers matter? The predictive ability of average skewness on market returns using robust skewness measures
    Bo, Xu Chong
    Han, Jianlei
    Liao, Yin
    Shi, Jing
    Yan, Wu
    ACCOUNTING AND FINANCE, 2021, 61 (03): : 3977 - 4006