The determinants of capital structure of Islamic and conventional banks: an autoregressive distributed lag approach

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Moncef Guizani
Keyword(s):  
Capital Structure ◽  
Price Change ◽  
Content Type ◽  
Leverage Ratio ◽  
Macroeconomic Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Conventional Banks ◽  
The Capital Structure

Purpose This paper aims to explore how Sharia principles could impact capital structure determinants and speed of adjustment of Islamic banks (IBs) compared to conventional banks (CBs) in the Gulf Cooperation Council countries (GCC). Design/methodology/approach This study 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 and risk are negatively related. For growth opportunities, the results show opposing effect on book leverage of IBs and CBs, regarding macroeconomic variables, the authors find that gross domestic product and financial development are negatively related to book leverage of both IBs and CBs, whereas oil price change is positively related. Moreover, the authors find that IBs slowly adjust their capital structure toward the desired leverage ratio than CBs. In sum, the capital structure of IBs appears to be driven by similar factors to those previously found in the corporate finance literature. Research limitations/implications This research contributes to the theory in re-validating capital structure theories on IBs. It helps understand the capital structure of IBs in comparison with CBs. It highlights some areas where further research on topics related to capital structure of IBs is needed. Practical implications The paper can contribute to policymakers and governance function in understanding the choice of capital structure for IBs within the bound of Sharia requirement in different economic climate through its relation with the macroeconomic variables. Practically, the directors and managers can predict the best capital structure to be achieved by IBs in ensuring their performance is at par, in their quest of additional capital. Originality/value This paper offers some insights on the determinants of capital structure by investigating IBs and CBs. It explores the implication of relevant Islamic principles on capital structure. Moreover, it analyses the determinants of capital structure using ARDL method that permits to identify the short-run and long-run relationships between capital structure and its main determinants.

The capital structure decision of Islamic and conventional banks: empirical evidence from Malaysia

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Moncef Guizani ◽  
Ahdi Noomen Ajmi
Keyword(s):  
Capital Structure ◽  
Decision Criterion ◽  
Content Type ◽  
Leverage Ratio ◽  
Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Main Determinants ◽  
Conventional Banks ◽  
The Capital Structure

PurposeThe purpose of this paper is to investigate how Islamic banks (IBs) and conventional banks (CBs) in Malaysia choose their capital structure and what are the most significant factors that affect their decisions regarding their capital structure.Design/methodology/approachThis study applies the autoregressive distributed lag (ARDL) approach for a sample of 54 Banks listed on Malaysian stock market over the period 2010–2018.FindingsThe study findings show that the capital structure of IBs appears to be driven by similar factors to those previously found in the corporate finance literature. They also provide evidence of the existence of a long-run and short-run relationship between leverage and its main determinants for Islamic and CBs. However, the results show that various independent variables on the capital structure do exhibit different effects (in magnitude of the coefficient) among Islamic and CBs. Moreover, we find that IBs slowly adjust their capital structure toward the desired leverage ratio than CBs.Research limitations/implicationsThis research contributes to the theory in re-validating capital structure theories on IBs. It helps understand the capital structure of IBs in comparison with CBs. If in conventional finance, the standard presiding decisions of an economic agent is optimizing the risk-return ratio, this standard is not the only or the primary decision criterion in the Islamic finance context where spiritual and theological considerations are taken into consideration.Practical implicationsThis research can contribute to managers in understanding the choice of capital structure for IBs within the bound of Sharia requirement. Such an understanding provides managers with applied knowledge of determining their appropriate capital structure to compete locally and globally in which IBs operate.Originality/valueThis paper offers some insights on the determinants of capital structure by investigating Islamic and CBs. It explores the implication of relevant Islamic principles on capital structure. Moreover, it analyses the determinants of capital structure using ARDL method that permits to identify the short-run and long-run relationships between capital structure and its main determinants.

SHORT-RUN AND LONG-RUN IMPACT OF INFLATION, UNEMPLOYMENT, AND ECONOMIC GROWTH TOWARDS POVERTY IN INDONESIA: ARDL APPROACH

2019 ◽  
Vol 2 (1) ◽  
pp. 15
Author(s):  
Ahmadi Murjani
Keyword(s):  
Economic Growth ◽  
Poverty Alleviation ◽  
Macroeconomic Variables ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Ardl Approach ◽  
Short Run ◽  
The Government ◽  
The Impact

 Poverty alleviation has become a vigorous program in the world in recent decades. In line with the efforts applied by the government in various countries to reduce poverty, some evaluations have been practised. The impacts of macroeconomic variables such as inflation, unemployment, and economic growth have been commonly employed to be assessed for their impact on the poverty. Previous studies in Indonesia yielded mix results regarding the impact of such macroeconomic variables on the poverty. Different methods and time reference issue were the suspected causes. This paper aims to overcome such problem by utilising the Autoregressive Distributed Lag (ARDL) equipped with the latest time of observations. This paper finds in the long-run, inflation, unemployment, and economic growth significantly influence the poverty. In the short-run, only inflation and economic growth are noted affecting poverty significantly. 

China’s outward foreign direct investment and exports diversification: an asymmetric analysis

2020 ◽  
Vol 13 (2) ◽  
pp. 45-69 ◽  
Author(s):  
Faheem Ur Rehman ◽  
Yibing Ding ◽  
Abul Ala Noman ◽  
Muhammad Asif Khan
Keyword(s):  
Foreign Direct Investment ◽  
Direct Investment ◽  
Vital Role ◽  
Outward Foreign Direct Investment ◽  
Asymmetric Effect ◽  
Content Type ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Chinese Export

Purpose Over the past two decades, China’s outward foreign direct investment (OFDI) has risen remarkably. Whether such an increase affects the Chinese export diversification (ED) is a significant issue that has surprisingly remained unaddressed. This study aims to explain this issue that how OFDI plays a vital role in symmetric and asymmetric effects on its ED. Design/methodology/approach The authors introduce a robust nonlinear autoregressive distributed lag (NARDL) model. Ironically, the purpose of this study is to analyze the symmetric and asymmetric effect of OFDI on ED. Findings The authors propose that growing OFDI would be more advantageous to China, rather than the policies of contraction. Therefore, the study provides valuable policy insights to consider the long-run asymmetric momentum given to ED by China’s OFDI. Originality/value The results of this study may seem to be an important newsletter for further policy discussion on how China can catch up on the benefits of ED through OFDI.

Trade openness, financial liberalization and economic growth

2017 ◽  
Vol 6 (3) ◽  
pp. 229-246 ◽  
Author(s):  
Rana Muhammad Adeel-Farooq ◽  
Nor Aznin Abu Bakar ◽  
Jimoh Olajide Raji
Keyword(s):  
Economic Growth ◽  
Financial Liberalization ◽  
Positive Impact ◽  
Trade Openness ◽  
Principal Component ◽  
Content Type ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Comparison Of The Results

Purpose The purpose of this paper is to empirically examine the effects of financial liberalization and trade openness on the economic growth of two countries, namely, Pakistan and India for the period 1985-2014. Design/methodology/approach This study uses the autoregressive distributed lag technique, which allows mixed order of integration. In addition, it uses the principal component method to create an index for financial liberalization to examine how it affects the economic growth of the selected countries. Findings The findings reveal that in the short and long run, trade openness has positive effect on the Pakistan’s economic growth while the financial liberalization has positive impact only in the long run. In the case of India, both financial liberalization and trade openness positively and significantly influence the economic growth in the short and long run. Practical implications By comparing the results of both countries, trade openness and financial liberalization increase the economic growth of India more than that of Pakistan. These results suggest that Pakistan should consider appropriate positive policies regarding financial liberalization and trade openness to achieve high and stable economic growth in the future. Originality/value This study creates financial liberalization index by using the principal component analysis method to explain the role of financial liberalization in the economic growth of Pakistan and India. In addition, it makes comparison of the results based on which country benefits most from the liberalization of trade and financial sectors. Only very few studies have examined these countries, yet their results have remained inconclusive as well.

scholarly journals ASYMMETRY IN THE STOCK PRICE RESPONSE TO MACROECONOMIC SHOCKS: EVIDENCE FROM THE KOREAN MARKET

2018 ◽  
Vol 19 (2) ◽  
pp. 343-359 ◽  
Author(s):  
Geul Lee ◽  
Doojin Ryu
Keyword(s):  
Nonlinear Model ◽  
Stock Price ◽  
Macroeconomic Shocks ◽  
Macroeconomic Variables ◽  
Price Response ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Korean Market ◽  
Nonlinear Autoregressive

This study investigates stock price movements in response to macroeconomic shocks, allowing for asymmetry in this relationship. Given Ferson’s (1989) finding that large and small stocks can exhibit different risk behaviors, we examine the behaviors of the KOSPI and KOSDAQ stock markets in response to changes in the price level, real interest rate, and real USD/KRW exchange rate using simple and nonlinear autoregressive-distributed lag (ARDL) models. We find that the long-run effects of macroeconomic shocks are relatively insignificant under the simple ARDL model, whereas a significant and negative long-run effect is found for almost every explanatory variable–market pair under the nonlinear model. In addition, we find that the long-run effects of stock price shocks on macroeconomic variables are more significant under the nonlinear model. Overall, the results imply that it is difficult to identify the relationship between macroeconomic variables and stock price dynamics without considering asymmetry.

Growth impact of CO2 emissions caused by tourist arrivals in Turkey

2016 ◽  
Vol 8 (1) ◽  
pp. 19-37 ◽  
Author(s):  
Vedat Yorucu
Keyword(s):  
Error Correction ◽  
Error Correction Models ◽  
Content Type ◽  
Foreign Tourist ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run ◽  
Dynamic Relationships ◽  
Long Run Equilibrium

Purpose – The purpose of this study is to analyze the determinants of changes in carbon dioxide (CO2) emissions for Turkey by utilizing the autoregressive distributed lag approach to investigate the long-run equilibrium relationships of CO2 emissions between foreign tourist arrivals (FTAs) and electricity consumption (ELC). The results reveal that foreign tourists and ELC are significant determinants of a long-run equilibrium relationship with CO2 emissions from electricity and heat production and CO2 emissions from transport for Turkey, respectively. The results of the conditional error correction models (CECM) confirm that there are long-run causal relationships from the growing number of foreign tourist arrivals and the increase of ELC toward the growth of CO2 emissions during 1960-2010. The results of autoregressive distributed lag (ARDL) error correction models for CO2 emissions also validate significant dynamic relationships between CO2 emissions, ELC and tourist arrivals in the short run. Design/methodology/approach – ARDL modeling and Bounds test approach were used in this study. Findings – Rapid tourism development in Turkey has triggered CO2 emissions. The growth of CO2 emissions in Turkey threatens sustainability. The hypothesis of “The growth of CO2 emissions in Turkey” is validated. Tourist arrivals, ELC and CO2 emissions are co-integrated. CECMs confirm the growth of CO2 emissions during 1960-2010. ARDL modeling shows significant relationships between CO2 emissions and other variables. Originality/value – Results of ARDL error correction models for CO2 emissions validate the hypothesis that there are significant dynamic relationships between CO2 emissions, ELC and tourist arrivals in Turkey for the short run.

scholarly journals The impact of FDI on Nigeria’s export performance: a sectoral analysis

2018 ◽  
Vol 45 (5) ◽  
pp. 1088-1103 ◽  
Author(s):  
Obiora G. Okechukwu ◽  
Glauco De Vita ◽  
Yun Luo
Keyword(s):  
Service Sector ◽  
Manufacturing Sector ◽  
Export Performance ◽  
Content Type ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Oil Exports ◽  
The Impact ◽  
Sectoral Fdi

Purpose The purpose of this paper is to examine the foreign direct investment (FDI)–exports relationship in Nigeria using disaggregated FDI and export data. Design/methodology/approach This paper applies the autoregressive distributed lag cointegration approach in examining the long-run relationship between FDI and exports. Findings The results suggest that aggregate FDI has a positive and statistically significant long-run impact on total exports. Once exports are disaggregated into oil and non-oil exports, the positive, cointegrating relationship holds only for oil exports. When disaggregated by sector, primary sector and manufacturing sector FDI have a positive and significant long-run relationship with both total exports and oil exports but service sector FDI does not appear to have any significant influence on Nigerian exports. Originality/value This is the first paper that employs both sectoral FDI and disaggregated export data to examine the FDI–exports nexus in Nigeria.

An empirical investigation of the relationship between the real exchange rate and net FDI inflows in Mauritius

2019 ◽  
Vol 11 (1) ◽  
pp. 63-74 ◽  
Author(s):  
Ashok Babubudjnauth ◽  
Boopendra Seetanah
Keyword(s):  
Exchange Rate ◽  
Real Exchange Rate ◽  
Content Type ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
The Impact ◽  
Time Series Methodology ◽  
Official Sources ◽  
The Relationship

Purpose The purpose of this paper is to find out the impact of real exchange rate on foreign direct investment (FDI) in Mauritius. Design/methodology/approach Autoregressive distributed lag time series methodology is used. Findings Real exchange rate depreciation enhances inflows of FDI in both the short and long run. Originality/value The research is original, and data used are from official sources.

Factors determining bank deposit growth in Turkey: an empirical analysis

2020 ◽  
Vol 14 (2) ◽  
pp. 121-132
Author(s):  
Ibrahim Nandom Yakubu ◽  
Aziza Hashi Abokor
Keyword(s):  
Money Supply ◽  
Banking Sector ◽  
Empirical Studies ◽  
Key Factors ◽  
Macroeconomic Factors ◽  
Content Type ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Short Run

Purpose This paper aims to examine the key factors determining bank deposit growth in Turkey for the period 2000Q1–2016Q4. Design/methodology/approach The study employs the autoregressive distributed lag approach to investigate the effect of bank-level and macroeconomic factors on deposit growth. Findings The results reveal that bank stability, banking sector efficiency, broad money supply, economic growth, and inflation are significant determinants of deposit growth in the long run. The findings further show that in the short run, only branch expansion and broad money supply are relevant for bank deposit mobilization. Originality/value This paper departs from the extant empirical studies that focus on the determinants of individual savings behaviour in Turkey. Considering the short- and long-run time dimensions, the authors distinctively examine how bank characteristics influence deposit growth, thus presenting a relatively pioneering attempt in this context.

Exchange rate effect on money demand in Pakistan

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Iffat Zehra ◽  
Muhammad Kashif ◽  
Imran Umer Chhapra
Keyword(s):  
Exchange Rate ◽  
Money Demand ◽  
Demand Model ◽  
Content Type ◽  
Distributed Lag ◽  
Autoregressive Distributed Lag ◽  
Long Run ◽  
Non Linear ◽  
Short Run ◽  
Nardl Model

PurposeThis paper aims to examine association of money demand with key macroeconomic variables in Pakistan. The paper also investigates the asymmetric effect of real effective exchange rate (REER) on money demand.Design/methodology/approachThe study employs both linear autoregressive distributed lag (ARDL) and non-linear autoregressive distributed lag (NARDL) model. Annual data from 1970 to 2018 is used which is subjected to non-linearity through partial sum concept. Empirical analysis is conducted to prove if money demand is influenced by currency appreciation or depreciation, for long and short run.FindingsCointegration test indicates existence of a long-run relationship between money demand and its determinants. Results from NARDL model suggest negative relation between money demand and inflation in long and short run. Real income shows positive but a very minimal and insignificant effect on money demand in long and short run. Impact of call money rates is statistically significant and negative on M1 and M2. Wald tests and differing coefficient sign confirm presence of asymmetric relation of REER in long run with M2, whereas in short run we observe a linear, symmetrical relation of REER with M1 and M2. Stability diagnostic tests (CUSUM and CUSUMSQ) verify stability of M2 demand model in Pakistan.Practical implicationsResults signify that role of money demand is imperative as a monetary policy tool and it can be utilized to achieve objective of price stability. Additionally, exchange rate movements should be critically examined by monetary authorities to avoid inflationary pressures resulting from an increase in demand for broad monetary aggregate.Originality/valueThe paper contributes to scarce monetary literature on asymmetrical effects of exchange rate in Pakistan. Impact of variables has been studied through linear approach, but this paper is unique since it attempts to explore non-linear relationships.

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