Democracy and international financial integration in Pakistan

2017 ◽  
Vol 10 (1) ◽  
pp. 16-31 ◽  
Author(s):  
Syed Tehseen Jawaid ◽  
Shujaat Abbas ◽  
Shaikh Muhammad Saleem
Keyword(s):  
Financial Integration ◽  
Component Analysis ◽  
Least Square ◽  
Series Data ◽  
Content Type ◽  
Ordinary Least Square ◽  
Long Run ◽  
International Financial Integration ◽  
The Impact ◽  
The Relationship

Purpose The purpose of the study is to investigate the relationship between international financial integration (IFI) index and democracy (DEM) in Pakistan by using long-time series data from 1975 to 2013. Design/methodology/approach The IFI index is constructed by principal component analysis. IFI consists of foreign direct investment (FDI), remittances (REM) and external debt (ED), whereas the Polity IV index is used for DEM. Johansen and the autoregressive distributed lag method for cointegration methods are used to find a long run relationship. Dynamic ordinary least square (DOLS), fully modified ordinary least square (FMOLS) and canonical regression (CR) have been used to find the nature of the relationship. Rolling window analysis has been done to find the year wise coefficients. Findings DOLS, FMOLS, canonical regression CR and cointegration results suggest a significant negative long-run relationship between IFI and DEM in Pakistan. Rolling windows analysis highlights that DEM has improved IFI in Pakistan from 2008 to 2013. Originality/value This study constructs an index for financial integration using principle component analysis on capital inflows, i.e. FDI, REM, ED, to explore the impact of DEM on IFI in Pakistan from 1975 to 2013. This study investigates for the first time ever the relationship between IFI index and DEM in Pakistan.

Does dollarization reduce or produce inflation?

2015 ◽  
Vol 42 (3) ◽  
pp. 358-376 ◽  
Author(s):  
Lula G. Mengesha ◽  
Mark J. Holmes
Keyword(s):  
Least Square ◽  
Market Exchange ◽  
Content Type ◽  
Vector Error Correction ◽  
Ordinary Least Square ◽  
Long Run ◽  
Short Run ◽  
Market Exchange Rate ◽  
The Impact ◽  
Partial Dollarization

Purpose – The purpose of this paper is to address the unresolved outcome of the research on the impact of dollarization on inflation by examining the partially dollarized economy of Eritrea. Design/methodology/approach – Inflation under partial dollarization is modelled based on money demand and supply framework. Using quarterly data for the study period 1996Q1-2008Q4, estimation is based on a vector error correction model together with dynamic ordinary least square. Findings – The results indicate that inflation increases as a result of an increase in dollarization. This applies to both the short-run and long-run estimations regardless of whether official or black market exchange rate data are used in the analysis. In terms of the short-run dynamics involved in the long-run relationship between dollarization and inflation, the speed of adjustment toward long-run equilibrium ranges from negative 7.2-7.6 percent per quarter. Research limitations/implications – The main policy implication of the finding is that the extent of dollarization should not be overlooked in controlling inflation in the short run and the long run. Originality/value – Despite a number of studies that examine the consequences of dollarization, the impact of partial dollarization on inflation in the Eritrean economy has never been addressed. This study, therefore, is original in its kind and resolves the controversial outcomes on the studies of inflation and dollarization by modelling inflation under partial dollarization, providing new evidence and revealing potential economic reasons for the discrepancies in the findings of the literature on partial dollarization.

Does Ramadan influence the returns and volatility? Evidence from Shariah index in India

2019 ◽  
Vol 10 (4) ◽  
pp. 565-579
Author(s):  
Dharani Munusamy
Keyword(s):  
Abnormal Return ◽  
Design Methodology ◽  
Positive Impact ◽  
Least Square ◽  
Content Type ◽  
Ordinary Least Square ◽  
The Impact ◽  
The Relationship

PurposeMuslim’s hope that the holy month of Ramadan will create something more valuable for them. Through fasting and good actions, they can get rewarded twice than they normally can achieve. With this motivation, the purpose of this paper is to investigate the holy month of Ramadan effect on the returns and volatility of the Shariah index in India.Design/methodology/approachUsing the ordinary least square methods, this paper examines the impact of Ramadan effect on the returns of the Shariah index in India. This paper further investigates the impact of the holy month of Ramadan effect on the volatility of the Shariah index by applying GARCH-modified models. This paper categorizes the Ramadan days into three parts, namely God’s Mercy, God’s Forgiveness and Emancipation from hellfire to examine the relationship between the Ramadan effect and the returns and volatility of the Shariah index in India.FindingsThe results show that the returns during the month of Ramadan as a whole are statistically significant. The results further motivate that its last ten days have high influences than other days over the period. Finally, the study examines the Ramadan effect on volatility by applying GARCH modified models and finds an evidence of Ramadan effect during the first ten days of Ramadan month.Originality/valueThe positive impact of Ramadan increases on the days associated with higher worship intensity. The study provides an important information to the ethical investors to invest in the Shariah stocks during Ramadan days. This information is very useful for the investors to get an abnormal return during the Ramadan days.

The Impact of Competitive Quasi-Market on Service Delivery in Benue State University, Makurdi Nigeria

GIS Business ◽  
2019 ◽  
Vol 14 (4) ◽  
pp. 85-98
Author(s):  
Idoko Peter
Keyword(s):  
Service Delivery ◽  
A Priori ◽  
Least Square ◽  
Secondary Source ◽  
State University ◽  
Ordinary Least Square ◽  
Negative Effect ◽  
The Impact ◽  
The Relationship

This research the impact of competitive quasi market on service delivery in Benue State University, Makurdi Nigeria. Both primary and secondary source of data and information were used for the study and questionnaire was used to extract information from the purposively selected respondents. The population for this study is one hundred and seventy three (173) administrative staff of Benue State University selected at random. The statistical tools employed was the classical ordinary least square (OLS) and the probability value of the estimates was used to tests hypotheses of the study. The result of the study indicates that a positive relationship exist between Competitive quasi marketing in Benue State University, Makurdi Nigeria (CQM) and Transparency in the service delivery (TRSP) and the relationship is statistically significant (p<0.05). Competitive quasi marketing (CQM) has a negative effect on Observe Competence in Benue State University, Makurdi Nigeria (OBCP) and the relationship is not statistically significant (p>0.05). Competitive quasi marketing (CQM) has a positive effect on Innovation in Benue State University, Makurdi Nigeria (INVO) and the relationship is statistically significant (p<0.05) and in line with a priori expectation. This means that a unit increases in Competitive quasi marketing (CQM) will result to a corresponding increase in innovation in Benue State University, Makurdi Nigeria (INVO) by a margin of 22.5%. It was concluded that government monopoly in the provision of certain types of services has greatly affected the quality of service experience in the institution. It was recommended among others that the stakeholders in the market has to be transparent so that the system will be productive to serve the society effectively

Islamic calendar and stock market behaviour in India

2018 ◽  
Vol 45 (11) ◽  
pp. 1550-1566
Author(s):  
Dharani Munusamy
Keyword(s):  
Stock Market ◽  
Least Square Method ◽  
Least Square ◽  
Stock Market Returns ◽  
Content Type ◽  
Ordinary Least Square ◽  
Average Return ◽  
Year Effect ◽  
The Common ◽  
The Impact

Purpose The purpose of this paper is to examine the behavior of the stock market returns in the different days of the week and different months of the year in accordance with the Islamic calendar. Further, the study estimates the risk-adjusted returns to test the performance of the indices during the Ramadan and non-Ramadan days. Finally, the study investigates the impact of Ramadan on the returns and the volatility of the stock market indices in India. Design/methodology/approach Initially, the study applies the Ordinary Least Square method to test the day-of-the-week and the month-of-the-year effect of the common and Shariah indices. Next, the study employs the risk-adjusted measurement to examine the underperformance and over-performance of the indices for both the periods. Finally, the study estimates the GARCH (1,1) and GJR-GARCH (1,1) models to observe the impact of Ramadan on the returns and the volatility of the Shariah indices in India. Findings The study finds that an average return of the indices during the Ramadan days are higher than non-Ramadan days. Further, the average returns of the Shariah indices are significantly higher on Wednesday than other days of the week. In addition, the highest and significant mean returns and mean risk-adjusted returns of the indices during the Ramadan days are observed. Finally, the study finds an evidence of the Ramadan effect on the returns and volatility of the indices in India. Originality/value The study observes evidence that the Ramadan effect influences the Shariah indices, but not the common indices in the stock market of the non-Muslim countries. It indicates that the Ramadan creates the positive mood and emotions in the investors buying and selling activities. The study suggests that investors can buy the shares before Ramadan period and sell them during the Ramadan days to get an abnormal return in the emerging markets.

Macroeconomic determinants of trade openness: empirical investigation of SAARC region

2018 ◽  
Vol 12 (2) ◽  
pp. 151-161 ◽  
Author(s):  
Muhammad Tahir ◽  
SAF Hasnu ◽  
Mario Ruiz Estrada
Keyword(s):  
Regional Cooperation ◽  
Labour Force ◽  
Trade Openness ◽  
Least Square Method ◽  
Least Square ◽  
Content Type ◽  
Currency Exchange ◽  
Long Run ◽  
Macroeconomic Determinants ◽  
The Impact

Purpose Trade openness plays a significant role in the growth process of countries. The purpose of this paper is to examine the impact of macroeconomic determinants on the trade openness of countries. Design/methodology/approach The study focuses on the South Asian Association for Regional Cooperation (SAARC) member countries and the data used were from 1971 to 2011. Panel data econometrics techniques and two stages least square method (TSLS) are used to carry out empirical analysis and robustness testing. Findings The main finding of the paper is that macroeconomic determinants such as investment both in physical and human capital and per capita gross domestic product (GDP) positively affect trade openness. Further, the size of labour force and currency exchange rate has also impacted trade openness negatively and significantly. Practical implications It implies that efficient macroeconomic management matters for higher trade openness. The sampled developing countries are suggested to pay favourable attention to macroeconomic variables if they want to grow in the long run through outward-oriented policies. Originality/value This paper is an original contribution in the context of SAARC countries by focusing on the relationship between macroeconomic determinants and trade openness.

scholarly journals Impacto das exportações de alta tecnologia no crescimento econômico: evidências empíricas do Paquistão

2017 ◽  
Vol 8 (1) ◽  
pp. 91 ◽  
Author(s):  
Muhammad Usman
Keyword(s):  
Economic Growth ◽  
World Bank ◽  
Time Span ◽  
Least Square ◽  
High Tech ◽  
Ordinary Least Square ◽  
Robust Standard Error ◽  
Long Run ◽  
Data Source ◽  
The Impact

The goal of this study is to explore the impact of high tech exports on economic growth of Pakistan. To examine this relationship, data are collected from World Bank database, State Bank of Pakistan data source and Statistical Bureau of Pakistan. Time span of study is consisting of 20 years from 1995 to 2014. By using ordinary least square (OLS) with robust standard error, results confirm that there is a positive and statistically significant impact of high tech exports on economic growth. Although Pakistan is an agriculture country and its economic growth is largely depend upon farming, but for long run economic growth, Pakistan has to increase its high tech exports.

scholarly journals Impact of Exchange Rate Management on the Nigerian Economic Growth: Empirical Validation

2019 ◽  
Vol 1 (2) ◽  
pp. 28-35
Author(s):  
Friday Osaru Ovenseri Ogbomo ◽  
Precious Imuwahen Ajoonu
Keyword(s):  
Economic Growth ◽  
Exchange Rate ◽  
Inflation Rate ◽  
Government Expenditure ◽  
Least Square ◽  
Ordinary Least Square ◽  
Exchange Rate Management ◽  
Long Run ◽  
Short Run ◽  
The Impact

This paper examined the impact of Exchange Rate Management on economic growth in Nigeria between 1980 and 2015. The study was set to gauge how the management of exchange rate in Nigeria has impacted the economy. The study employed the Ordinary Least Square (OLS) method in its analysis. Co-integration and Error Correction Techniques were used to establish the Short-run and Long-run relationships between economic growth and other relevant economic indicators. The result revealed that exchange rate management proxy by various exchange rates regimes in Nigeria was not germane to economic growth. Rather, government expenditure, inflation rate, money supply and foreign direct investment significantly impact on economic growth in Nigeria. It is against this backdrop that the Nigerian economy must diversify her export base to create room for more inflow of foreign exchange.  

Forecasting the schedule performance resulting from the adoption of social distancing in construction projects

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hilary Omatule Onubi ◽  
Nor'Aini Yusof ◽  
Ahmad Sanusi Hassan ◽  
Ali Ahmed Salem Bahdad
Keyword(s):  
Construction Projects ◽  
Partial Least Square ◽  
Least Square ◽  
Equation Modeling ◽  
Content Type ◽  
Social Distancing ◽  
Schedule Performance ◽  
The Impact ◽  
The Relationship ◽  
Positive Effect

PurposeThe coronavirus disease 2019 (COVID-19) pandemic has had major impacts on the performance of construction projects that have adopted social distancing measures. This study examines the effect of social distancing measures on project schedule performance through job reorganization on construction project sites.Design/methodology/approachResponses were obtained through a survey of 154 construction projects and analysed using the partial least square structural equation modeling (PLS-SEM) technique.FindingsThe findings established that social distancing has a negative effect on schedule performance, social distancing has a positive effect on job re-organization and job re-organization has a positive effect on schedule performance. Additionally, the results indicate that job re-organization partially mediates the relationship between social distancing and schedule performance, while social distancing moderates the relationship between job re-organization and schedule performance with low social distancing having the stronger positive effect.Originality/valueThis study contributes theoretically to a greater understanding of the impact of adopting COVID-19 safety measures such as social distancing on the schedule performance of construction projects. The study also shows how social distancing could lead to schedule performance through job reorganization.

The impact of financial development, economic growth and energy consumption on environmental degradation

2015 ◽  
Vol 26 (5) ◽  
pp. 666-682 ◽  
Author(s):  
Madhu Sehrawat ◽  
A K Giri ◽  
Geetilaxmi Mohapatra
Keyword(s):  
Economic Growth ◽  
Energy Consumption ◽  
Financial Development ◽  
Environmental Degradation ◽  
Series Data ◽  
Development Economic ◽  
Content Type ◽  
Indian Economy ◽  
Long Run ◽  
The Impact

Purpose – The purpose of this paper is to investigate the impact of financial development, economic growth and energy consumption on environment degradation for Indian economy by using the time series data for the period 1971-2011. Design/methodology/approach – The stationary properties of the variables are checked by ADF, DF-GLS, PP and Ng-Perron unit root tests. The long-run relationship is examined by implementing the Autoregressive Distributed Lag bounds testing approach to co-integration and error correction method (ECM) is applied to examine the short-run dynamics. The direction of the causality is checked by VECM framework and variance decomposition is used to predict exogenous shocks of the variables. Findings – The empirical evidence confirms the existence of long-run relationship among the variables. Financial development appears to increase environmental degradation in India. The main contributors to environmental degradation are: economic growth, energy consumption financial development and urbanization. The results also lend support to the existence of environmental Kuznets curves for Indian economy. Research limitations/implications – The present study suggests that environmental degradation can be reduced at the cost of economic growth or energy efficient technologies should be encouraged to enhance the domestic product with the help of financial sector by improving environmental friendly technologies from advanced economies. Originality/value – This paper proposes to make a contribution to the existing literature through examining the relationship between financial development and environmental degradation in Indian economy during 1971-2011 by employing modern econometric techniques.

The double-edge resource-based view of logistics performance and governance in Asian countries

2018 ◽  
Vol 30 (3) ◽  
pp. 652-668 ◽  
Author(s):  
Bee Hui Koh ◽  
Wai Peng Wong ◽  
Chor Foon Tang ◽  
Ming K. Lim
Keyword(s):  
Ordinary Least Squares ◽  
Moderating Effect ◽  
Dark Side ◽  
Series Data ◽  
Asian Countries ◽  
Trade Facilitation ◽  
Content Type ◽  
Effect Model ◽  
The Impact ◽  
The Relationship

PurposeAsia has been transformed into a well-regulated dynamic platform for trade and is today world’s fastest-developing economic region. However, the increasing cross-border economic activities create new opportunities for corruption. The purpose of this paper is to assess the impact of corruption on trade facilitation using logistics performance index (LPI). This paper also examines the moderating effect of governance or government effectiveness (GE) on the relationship between corruption and LPI within Asian countries.Design/methodology/approachA panel of time-series data from year 2007 to 2014 of 26 Asian countries was collected for analysis. Static linear panel models which comprised of pooled ordinary least squares, fixed-effect model and random-effect model were utilised to analyse the panel data.FindingsThe findings show that corruption significantly affects LPI and each of the six dimensions in LPI. The results also show that governance or GE has a moderating effect on the relationship between corruption and LPI.Practical implicationsThis study benefits Asian governments to gain a better understanding on influences of corruption on trade facilitation and triggering suggestions of a government role in the relationship. Practically, the results could be used as a guideline in improving national LPI. Besides, the findings could be used to support policy decision to modify corruption regulations at the national and regional levels.Originality/valueThis study reveals that the optimistic view of sands in the wheel overcomes the dark side of the grease in the wheel practices. To be corrupt free or less corrupt is a rare and inimitable resource capability that makes nations logistically competitive.

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