سید حسن مسعودی علوی

سید حسن مسعودی علوی

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فیلتر های جستجو: فیلتری انتخاب نشده است.
نمایش ۱ تا ۲ مورد از کل ۲ مورد.
۱.

Institutional Ownership, Business Cycles and Earnings Informativeness of Income Smoothing: Evidence from Iran(مقاله علمی وزارت علوم)

کلید واژه ها: income smoothing Earnings Informativeness Institutional Ownership business cycles

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تعداد بازدید : 316 تعداد دانلود : 177
Managers engage in income smoothing either to communicate private information about future earnings to investors (informativeness hypothesis) or to distort financial performance for opportunistic purposes (opportunism hypothesis). Business cycles and the monitoring role of institutional ownership may affect the earnings informativeness of income smoothing. The purpose of this research is to examine the effect of business cycles and institutional ownership on the earnings informativeness of income smoothing. 140 firms listed on the Tehran Stock Exchange are selected as the sample over the period 2010-2016. The results showed that, during recession, income smoothing does not effectively communicate information about future earnings and thus earnings are less informative. Moreover, higher levels of institutional ownership are associated with a decrease in their monitoring role and decrease in the earnings informativeness of income smoothing. Finally, the results suggested that the relationship between institutional ownership and the earnings informativeness of income smoothing is not significantly affected by business cycles.
۲.

The Dynamic Impact of Oil Price on Investor Sentiment in Tehran Stock Exchange: An Industry-Level Analysis(مقاله علمی وزارت علوم)

کلید واژه ها: Investor Sentiment oil price PMG Method Industry

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تعداد بازدید : 603 تعداد دانلود : 632
Investor sentiment is one of the non-fundamental factors that affect the financial markets, which itself is influenced by various factors, including oil price changes. This study aims to investigate the impact of oil price on investor sentiment in stock market industries in the Tehran Stock Exchange (TSE) using monthly data from April 2010 to June 2020. To investigate this issue, stock exchange industries were grouped into three categories: total industries, oil-related industries, and non-oil industries, and the effect of oil prices on investor sentiments in these three groups was examined using the pooled mean group (PMG) technique. The PMG approach considers both the short- and long-run relation between series and provides reliable results in the context of dynamic heterogeneous panel models. The implementation of PMG in all three models shows the impact of oil prices on investor sentiment over both the short and long run. Findings suggest also that oil price has positive and significant in all three models in the long run and the oil price coefficient is higher in oil-related industries than non-oil-related industries. These results are the opposite of the results obtained by similar studies, which can be due to the special features of countries, e.g. being oil exporters or oil importers

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