The Impact of Internationalization on Firm Performance: A Quantile Regression Analysis
نویسندگان
چکیده
Abstract: In the context of internationalization, we study the impact of a firm’s breadth and depth on its performance using quantile regression. Quantile regression allows us to study the effects of internationalization on performance at various quantiles of conditional performance distribution. Our results suggest that breadth (measured by the number of foreign countries where a firm has direct investments) has positive effects on firm performance (measured by Tobin’s Q) and depth (measured by the number of foreign investment sites in top two countries divided by total number of foreign investment sites) is negatively correlated with firm performance. The quantile regression analysis also shows that the impacts of breadth and depth are heterogeneous across levels of performance. The implication is that, for firms with high performances, their performances are sensitive to internationalization activities; however, for firms with low performances, the stock market barely recognizes their attempts to internationalize. ___________________________________________________________________
منابع مشابه
Firm Specific Risk and Return: Quantile Regression Application
The present study aims at investigating the relationship between firm specific risk and stock return using cross-sectional quantile regression. In order to study the power of firm specific risk in explaining cross-sectional return, a combination of Fama-Macbeth (1973) model and quantile regression is used. To this aim, a sample of 270 firms listed in Tehran Stock Exchange during 1999-2010 was i...
متن کاملDependence of Default Probability and Recovery Rate in Structural Credit Risk Models: Empirical Evidence from Greece
The main idea of this paper is to study the dependence between the probability of default and the recovery rate on credit portfolio and to seek empirically this relationship. We examine the dependence between PD and RR by theoretical approach. For the empirically methodology, we use the bootstrapped quantile regression and the simultaneous quantile regression. These methods allow to determinate...
متن کاملInvestigating the effect of renewable and non-renewable energy consumption on social welfare in developing Asian countries: Quantile regression approach
Energy as one of the factors of production along with labor and capital has an important role in development and social welfare. Due to the pollution of non-renewable resources and its negative impact on welfare, the use of renewable resources can improve social welfare by eliminating pollutants. In this study, the effect of renewable and non-renewable energy consumption on social welfare of de...
متن کاملAnalyzing the Impact of Credit Ratings on Firm Performance and Stock Returns: Evidence from Taiwan
The respective study covers three aspects; factors determining credit rating, credit rating impact on performance of entities and the relation between stock returns and credit rating. The study focuses on the firms listed in Taiwan Stock Exchange (TSE) of Taiwan. The empirical analysis uses the data of 50 firms rated by Taiwan Ratings Corporation (TRC) for the period 2010-2015. Two estimation t...
متن کاملFinite Sample Properties of Quantile Interrupted Time Series Analysis: A Simulation Study
Interrupted Time Series (ITS) analysis represents a powerful quasi-experime-ntal design in which a discontinuity is enforced at a specific intervention point in a time series, and separate regression functions are fitted before and after the intervention point. Segmented linear/quantile regression can be used in ITS designs to isolate intervention effects by estimating the sudden/level change (...
متن کامل