5 The empirical studies in the literature to estimate the annual stock return either employ point increase or add
daily return. Whereas Chu and Lim (1998) used end of the year stock prices, Becalli et al. (2006) calculated the
annual returns by adding daily returns. Becalli et al. (2006) stated that adding daily returns is a better measure
than calculating a point increase- difference between the return from the first day and last day of the period under
investigation. However, in this study, we relied on monthly stock prices and calculated cumulative annual stock
returns due to the data availability.
6 To account for the impact of efficiency change on the stock performance, some other explanatory variables
associated with each bank are also added to the model.
7 In the study of Becalli et al. (2006), OLS estimation method was employed because of including one-year
analysis. However, if the dataset includes more than one year, observations within firms (banks) tend to be
correlated, therefore, the independence assumption of OLS will be violated as the standard errors will be biased
downwards.
5 The empirical studies in the literature to estimate the annual stock return either employ point increase or adddaily return. Whereas Chu and Lim (1998) used end of the year stock prices, Becalli et al. (2006) calculated theannual returns by adding daily returns. Becalli et al. (2006) stated that adding daily returns is a better measurethan calculating a point increase- difference between the return from the first day and last day of the period underinvestigation. However, in this study, we relied on monthly stock prices and calculated cumulative annual stockreturns due to the data availability.6 To account for the impact of efficiency change on the stock performance, some other explanatory variablesassociated with each bank are also added to the model.7 In the study of Becalli et al. (2006), OLS estimation method was employed because of including one-yearanalysis. However, if the dataset includes more than one year, observations within firms (banks) tend to becorrelated, therefore, the independence assumption of OLS will be violated as the standard errors will be biaseddownwards.
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