A Panel Data Analysis of Stock Returns and Accounting Information in Indian Paint Industry

Pradeep Kumar Rangi, P. Aithal
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Abstract

The accounting ratios and published financial information serve as a critical tool for investors, creditors, and other stakeholders to ascertain companies' profitability, control, and financial status, which may significantly impact the Stock returns and performance on exchanges. This paper aims to examine whether crucial accounting information affects the price of paint companies in India. In this paper, nine-years (2012-2020) accounting ratios such as returns on asset, equity, and cash cycles for the five listed paint companies in India as explanatory (independent) variables to estimate stock returns. Secondary data is collected chronologically and at a regular yearly frequency. Variables data are derived from the company’s financial statements, Stock Exchange and related website. The study aims to assess and elaborate these accounting ratios effectiveness to substantiate the stock returns of these listed companies. The study uses three-panel data models, the pooled OLS, fixed and random effects, to assess stock returns for the cross-sectional data of these five paint companies. This research indicates that accounting information is significant and positively affects the price of Paint company stock returns on the stock exchange. Both Fixed and Random effect model found to fit the data, significance level of 0.05 (Fixed (FE) at F= 6.3625, p<0.000 and R2 of 0.5462, i.e., fixed effect elaborates for about 55% of the return variance. Random effect at F=10.8647 and p<0.000 and R2 of 0.4429, i.e., elaborates for about 44% of stock return variance. Based on the Hausman data test alternative hypothesis is found to be consistent and therefore Random Effect (RE) model is being used to conclude the findings. The paper's fundamental limitation includes use of limited regressors, companies, and time period. A further qualitative analysis together with other accounting performance indicators as regressors may be included in future studies. These ratios include interest coverage, debt ratios, effective tax rates, asset turnover ratios, dividend distribution ratios, sustainable growth, and top line revenue growth.
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印度涂料行业股票收益与会计信息的面板数据分析
会计比率和公布的财务信息是投资者、债权人和其他利益相关者确定公司盈利能力、控制和财务状况的重要工具,这可能会显著影响股票的回报和在交易所的表现。本文旨在研究关键会计信息是否会影响印度涂料公司的价格。本文采用印度五家涂料上市公司的九年(2012-2020)会计比率,如资产收益率、权益收益率和现金周期,作为解释(独立)变量来估计股票收益。二级数据按时间顺序和每年定期收集。变量数据来源于公司财务报表、证券交易所及相关网站。本研究旨在评估和阐述这些会计比率的有效性,以证实这些上市公司的股票收益。本研究使用三面板数据模型,即汇集OLS、固定效应和随机效应,对这五家涂料公司的横截面数据进行股票收益评估。本研究表明,会计信息对涂料公司股票收益率具有显著的正向影响。固定效应和随机效应模型均发现数据拟合,显著性水平为0.05 (Fixed (FE) at F= 6.3625, p<0.000, R2为0.5462,即固定效应对收益方差的55%左右进行了阐述。随机效应在F=10.8647, p<0.000, R2 = 0.4429,即,说明了约44%的股票收益方差。基于Hausman数据检验,发现替代假设是一致的,因此使用随机效应(RE)模型来总结研究结果。本文的基本局限性包括使用有限回归量、公司和时间段。进一步的定性分析连同其他会计绩效指标作为回归可能包括在未来的研究。这些比率包括利息覆盖率、负债率、有效税率、资产周转率、股息分配率、可持续增长和收入增长。
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