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Featured researches published by Ijaz Ur Rehman.


Studies in Economics and Finance | 2017

Exchange rate risk and the bilateral trade between Malaysia and Singapore

Muhammad Aftab; Ijaz Ur Rehman

Purpose - This paper aims to examine the influence of exchange rate risk on the bilateral trade of two closely connected East Asian open economies – Malaysia and Singapore – at industry level. Design/methodology/approach - This study estimates import and export demand models considering 65 import and 65 export industries of Malaysia, with Singapore using monthly data over the period 2000-2014. Generalized Auto Regressive Conditional Heteroskedasticity (GARCH) model is used to measure the exchange rate risk, and autoregressive distributed lag (ARDL) approach to co-integration is used to examine the study empirical models. Findings - The findings suggest that exchange risk has an impact on a moderate number of industries in the short run; however, this influence endures in very few industries in the long run. It is interesting to note that exchange rate volatility expedites import demand for the large Malaysian import industries like gas and plastic. Originality/value - No prior study has explored the topic at industry level focusing on the bilateral trade flows between Malaysia and Singapore. This research serves important implications while thinking about exchange rate risk and trade linkage in a case of open economies trade pairs that are highly integrated in presence of a variety of bilateral trade agreements and economic groupings.


Macroeconomics and Finance in Emerging Market Economies | 2016

Macroeconomic determinants of stock market capitalization in an emerging market: fresh evidence from cointegration with unknown structural breaks

Muhammad Shahbaz; Ijaz Ur Rehman; Talat Afza

This article explores the macroeconomic determinants of stock market development in an emerging market (Pakistan) over the period of 1974–2010. We have applied Zivot–Andrews unit root test for integrating properties of the variables and the autoregressive distributed lag bounds testing for cointegration. The direction of causality between the variables is investigated by applying the vector error-correction model Granger causality approach. Our results revealed that variables are cointegrated for long run relationship. Economic growth, inflation, financial development and investment increase stock market development, but trade openness decreases it. The causality analysis confirms that stock market development is a Granger cause of economic growth, inflation, financial development, investment and trade openness. This article indicates the importance of trade openness while formulating a comprehensive financial policy.


International Journal of Monetary Economics and Finance | 2016

Is the relationship between macroeconomy and stock market liquidity mutually reinforcing? Evidence from an emerging market

Ijaz Ur Rehman; Nurul Shahnaz Mahdzan; Rozaimah Zainudin

This study investigates whether macroeconomic variables and stock market liquidity have any impact on each other in an emerging market. The Granger causality test and innovative accounting approach (IAA) are used to test the causality among the variables of interest over the period of 2000 M1-2014 M12. Our results suggest that in the short-run, monetary base, interest rate, inflation and foreign equity net inflow have a lagged impact on stock market liquidity. The causality analyses suggest that only industrial production and foreign equity net inflow cause stock market liquidity. The IAA approach suggests that shocks to inflation and foreign equity net inflow increase stock market illiquidity while positive shocks to industrial production decrease stock market illiquidity. Our results suggest weak evidence of feedback from stock market liquidity to macroeconomic variables.


Global Business Review | 2016

Stocks as Hedge against Inflation in Pakistan: Evidence from ARDL Approach

Muhammad Shahbaz; Faridul Islam; Ijaz Ur Rehman

This article implements autoregressive distributed lag (ARDL) bounds testing approach to cointegration to explore whether or not stocks are good hedge against inflation in case of a transition economy like Pakistan, using annual data for the period 1971–2008. Ng–Perron (2001) unit root test is applied to determine the stationarity of the series. The results suggest that stocks act as good hedge against inflation both in the long and short runs. The findings should help formulate appropriate policy to encourage investment in financial markets and thereby promote economic growth.


Renewable & Sustainable Energy Reviews | 2014

Industrialization, electricity consumption and CO2 emissions in Bangladesh

Muhammad Shahbaz; Gazi Salah Uddin; Ijaz Ur Rehman; Kashif Imran


Quality & Quantity | 2015

Revisiting Linkages between Financial Development, Trade Openness and Economic Growth in South Africa: Fresh Evidence from Combined Cointegration Test

Ali Polat; Muhammad Shahbaz; Ijaz Ur Rehman; Saqlain Latif Satti


The North American Journal of Economics and Finance | 2014

Is gold investment a hedge against inflation in Pakistan? A co-integration and causality analysis in the presence of structural breaks

Muhammad Shahbaz; Mohammad Iqbal Tahir; Imran Ali; Ijaz Ur Rehman


Journal of The Knowledge Economy | 2016

The Role of Information Communication Technology and Economic Growth in Recent Electricity Demand: Fresh Evidence from Combine Cointegration Approach in UAE

Muhammad Shahbaz; Ijaz Ur Rehman; Rashid Sbia; Helmi Hamdi


Quality & Quantity | 2014

Multivariate-based Granger causality between financial deepening and poverty: the case of Pakistan

Ijaz Ur Rehman; Muhammad Shahbaz


Transformations in Business & Economics | 2013

How corporate social responsibility and corporate reputation influence employee engagement

Imran Ali; Saif Ur Rehman Khan; Ijaz Ur Rehman

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Muhammad Shahbaz

COMSATS Institute of Information Technology

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Imran Ali

Quaid-i-Azam University

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Saif Ur Rehman Khan

Universiti Teknologi Malaysia

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Khair Uz Zaman

COMSATS Institute of Information Technology

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Talat Afza

COMSATS Institute of Information Technology

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Rashid Sbia

Université libre de Bruxelles

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Helmi Hamdi

Aix-Marseille University

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