The Risk Indicators for the Return Volatility of Earnings Per Share: Evidence from Service Industry Firms Listed on the Stock Exchange of Thailand
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Abstract
This research was undertaken to examine the volatility of the earnings per share of firms in service industry listed on the Stock Exchange of Thailand. Measuring risks by indicating the volatility of firms is one of key tools used to represent risks affecting firms’ capacity to generate returns, especially earnings per share. One hundred and forty-six service industry firms in Thailand listed on the SET and MAI were selected as the unit of analysis to collect secondary cross-sectional data about their average financial information in the annual reports submitted from 2016 to 2020. Multiple regression was employed for the analysis of the secondary data by using PLS-SEM statistics. The research results found that earnings per share influenced the size of service firms listed on the SET and MAI. The findings suggest that firms in the service industry will have increased earnings per share if they have a high level of risk. Additionally, the type of firm acted as a moderator in the model. In terms of implications, our findings suggest that the level of volatility could be used as a tool to assess firms and estimate and predict their future returns.
Keywords: Earnings Per Share, Risk Indicator, Service Industry Firms, SET, MAI, Volatility
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