.../methodology/approach This study uses time series data spanning the period from 2017 to 2022, divided into pre-COVID-19 and during-COVID-19 phases. The data is analysed using the Autoregressive Distributed Lag ( ARDL ) model. Economic growth, represented by real GDP, serves as the dependent variable, while...

... Licensed re-use rights only Financial development Economic growth State of Qatar Cointegration ARDL Islamic finance Qatar Economic development Hydrocarbon and nonhydrocarbon The finance-growth nexus is rooted in the work of Joseph Schumpeter (1911 and 1934) , which underlines...

... the autoregressive distributed lag (ARDL) cointegration methodology to analyse the short- and long-run effect of the interest rates and rental rates on commercial property financing of Islamic banks in Malaysia between 2010: Q1 and 2018: Q2. Findings The findings reveal that changes in interest rates affect...

... applies the autoregressive distributed lag (ARDL) approach for a sample of 69 banks listed on GCC stock markets over the period 2009–2018. Findings Regression results indicate that tangibility and bank size are positively related to book leverage of both IBs and CBs, whereas profitability, liquidity...

..., the paper relies on several time series tests, such as autoregressive distributed lag (ARDL), vector error correction model (VECM) and variance decompositions (VDCs). Findings – The paper documents significant role played by the IBFIs in Malaysian economy. In particular, significant unidirectional...