2019
DOI: 10.1080/00014788.2018.1559717
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Do voluntary disclosures of product and business expansion plans impact analyst coverage and forecasts?

Abstract: We investigate whether voluntary disclosures of product and business expansion plans affect analyst coverage and forecasts. We find that the level of analyst coverage is positively associated with the incidence of disclosures of product and business expansion plans. We also find that product and business expansion disclosures increase the informativeness of analyst earnings forecasts. We find no evidence that product and business expansion disclosures increase analyst forecast errors. Overall, our study contri… Show more

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Cited by 27 publications
(20 citation statements)
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References 88 publications
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“…We maintain the same control variables as per model ( 5). These control variables, as documented in prior literature (Lim, 2001;Huberts and Fuller, 1995;Das et al, 1998;He et al, 2019aHe et al, , 2019b, may affect analyst forecast errors. Table 6 reports the regression results.…”
Section: Effect Of Insider Trades On the Informativeness Of Analyst Forecast Revisionsmentioning
confidence: 87%
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“…We maintain the same control variables as per model ( 5). These control variables, as documented in prior literature (Lim, 2001;Huberts and Fuller, 1995;Das et al, 1998;He et al, 2019aHe et al, , 2019b, may affect analyst forecast errors. Table 6 reports the regression results.…”
Section: Effect Of Insider Trades On the Informativeness Of Analyst Forecast Revisionsmentioning
confidence: 87%
“…logtrade, lognetbuy and lognetsale are all constructed based on daily trading data; we aggregate daily inside trades to obtain overall trading volume over the first two fiscal quarters. Following prior research on the determinants of analyst coverage (Hayes, 1998;Mohanram and Sunder, 2006;He et al, 2019aHe et al, , 2019b, we include the following control variables in our regression models: research and development expenditures (rd), book-tomarket ratio (btm), size (size), firm beta (beta), stock return variance (retvol), stock price (price), stock returns (qtrret), trading volume (tradingvol), institutional stock ownership (insti), return on assets (roa), litigation risk (litigation) and an indicator variable for the post-Reg-FD period (fd). All control variables are defined in Table A1.…”
Section: Methodsmentioning
confidence: 99%
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“…Prior studies (e.g. Lang and Lundholm 1996;Chang et al 2006;He et al 2019) provide evidence that analyst coverage is related to information asymmetry. Therefore, we include in our regression model research and development expenditures (rd), intangible assets (intangible), and book-to-market ratio (btm), which are used in prior literature as proxies for information asymmetry.…”
Section: Multivariate Tests Of H1mentioning
confidence: 99%
“…However, well-known econometric studies have noted that OLS regression analyses may suffer from uncontrolled systematic differences that may affect our hypothesized relationship [40,41]. To alleviate this endogeneity concern, we also applied Rosenbaum and Rubin's [42] PSM methodology to our empirical analysis. We see the probable existence of systematic differences based on both the CEO inside debt holdings and the IO, and we attempt to reduce these systematic differences to some extent.…”
Section: Samplementioning
confidence: 99%