In this paper we test the relationship between life-cycle stages and revenue predictability. We used three-year revenue divided by average total assets as the revenue predictability. Our life-cycle estimation is based on Dickinson’s (2011) cash-flow proxy model. Instead of using dummy variables and omitted the category with least observations, following Hansen et al. (2018), we assigned values of 0, 0.25, 0.50, 0.75, and 1 for the stages of introduction, growth, mature, shake-out, and decline, respectively. We used firm/year fixed effects regression to estimate our model. Our empirical evidence points out that companies’ revenue predictability increases as the revenue volatility decreases.
Citation: Can, G. & Günay, S. (2022). Does Life-Cycle Stage Affect Companies’ Revenue Predictability? Evidence from Borsa Istanbul. Gaziantep University Journal of Social Sciences, 21(2), 813-823. DOI: 10.21547/jss.1025389