.../methodology/approach Ordinary least squares regression (OLS) and the semi-parametric quantile regression (QR) technique are employed. QR enables to analyse beyond the explanatory variables' relative mean effect at various points in the endogenous variable distribution. Furthermore, parameter estimates under...

... financial integration. Design/methodology/approach The authors use both ordinary least squares and quantile regressions from January 2007 to January 2018. Quantile regression permits to know how the effects of explanatory variables vary across the different states of the market. Findings The results...

... between oil prices and stock returns. The regime and state-specific dependence of stock returns on the structural oil shocks are captured by the Markov regime switching and quantile regression models. Findings The authors find that the demand shocks are positively associated with stock markets...

.../methodology/approach This study employs a sample of 281 IPOs issued between January 2000 and December 2015. The relationship between prestige signals and investor heterogeneity, measured by first-day price range of IPOs, is analysed using cross-sectional regression and quantile regression technique...

... of business and their distinguished capital structure does not allow them to combat the liquidity crisis through the use of leverage. Design/methodology/approach The paper uses the quantile regression approach for a multi-country sample of Islamic stock indices to assess the impact of domestic as well...

... transmission between India and developed markets. Design/methodology/approach The study uses quantile regression and VAR techniques to examine the empirical issues. Findings The results of the study show that Ivix returns are negatively related to stock market returns and the leverage effect is only...