The direct and indirect effects of transportation infrastructure have a positive impact on the economic growth development country. Apart from improving accessibility, brings along trade investment opportunities to previously unconnected regions. It also provides access goods, services, employment in these regions through multiplier effect. In this paper, panel data is employed using unit root, cointegration, Granger Causality (GC) model test whether causal linkages between exist at national...

The Coronavirus (COVID-19) outbreak has become one of the biggest threats to global economy and financial markets. This study aims analyze effects COVID-19 on 56 stock indices from October 15, 2019 August 7, 2020 by using a complex network method. Furthermore, change structure is analyzed in depth dividing markets into developed, emerging frontier findings reveal structural form node changes, reduced connectivity significant differences topological characteristics network, due COVID-19. A...

Purpose COVID-19 evolved from a local health crisis to pandemic and affected countries worldwide accordingly. Similarly, the impacts of on performance global stock markets could be time-varying. This study applies dynamic network analysis approaches evaluate evolution over time impact markets' network. Design/methodology/approach Daily closing prices 55 August 1, 2019 September 10, 2020 were retrieved. sample period was further divided into nine subsample periods for purpose. Distance matrix...

We study the structural properties of Pakistan railway network (PRN), where stations are considered as nodes while edges represented by trains directly linking two stations. The displays small world and is assortative in nature. Based on betweenness closeness centralities nodes, most important cities identified with respect to connectivity this could help identifying potential congestion points network.

Analysis of the relationships among global stock markets is crucial for international investors, regulators, and policymakers, particularly during a crisis. Complex network theory was applied to analyze relationship between Russia–Ukraine war. Daily data from 55 6 August 2021 23 September 2023 were retrieved used investigate changes in market networks. The sample period divided into 22 subsamples, using 100-day rolling window rolled forward trading month, then long-range correlations based...

The structure and properties of public transportation networks have great implications in urban planning, policies, infectious disease control. This study contributes a weighted complex network analysis travel routes on the national highway Pakistan. is responsible for handling 75 percent road traffic yet largely inadequate, poor, unreliable. displays small world assortative nature. Based betweenness centrality nodes, most important cities are identified as this could help identifying...

Introduction: The global COVID-19 pandemic originated from the Chinese city of Wuhan and gradually reached every end world. It has adversely affected economies developed as well underdeveloped countries, subcontinent been hit badly by negative consequences deadliest coronavirus. People are getting virus in large numbers cases growing on daily bases.
 Methodology: present study employs Automatic ARIMA through R package “forecast”, to predict number for upcoming 14 days starting 1st July...

Purpose The purpose of this study is to develop a precise Islamic securities index forecasting model using artificial neural networks (ANNs). Design/methodology/approach data daily closing prices KMI-30 span from Aug-2009 Oct-2019. 2,520 observations are divided into training and test sets by the 80:20 ratio, which corresponds 2016 504 observations, respectively. In total, 25 features used; however, in selection step, based on maximum accuracy, top ten indicators selected several iterations...

Goal programming (GP) is applied to obtain the cargo distribution ratio from hinterland port cluster in absence of statistical data. Non-parametric test techniques and correlation analysis are used analyze stability ordinal preference selection. A case study for inland container Greater Pearl River Delta (GPRD) China shows that most districts maintain a stable selection pattern except Shenzhen, which many ports located also close Hong Kong, another important region. Although Kong...

Abstract Terrorism in Pakistan poses a significant risk towards the lives of people by violent destruction and physical damage. In addition to human loss, such catastrophic activities also affect financial markets. The purpose this study is examine impact terrorism on volatility stock market. 339 terrorist attacks for period 18 years (2000–2018) estimated w.r.t. target type, days week, surprise factor. Three important macroeconomic variables namely exchange rate, gold, oil were considered....

Zheng, S.; Wang, A.; Mohmand, Y.T., and He, Y., 2017. Path optimum algorithm for container relocation problems in port terminals worldwide.The problem (CRP) is concerned with emptying a cluster of identical containers stacked one bay where every given fixed extractive sequence the fewest number relocations. Such typical has been examined this paper. This research differs from previous studies following aspects: First, retrieval paths CRP proposed its nondeterministic polynomial-time-hardness...

Zheng, S.; Wang, A.; Mehmood, F., and Mohmand, Y.T., 2018. An improved path optimum algorithm for container relocation problems in port terminals worldwide.The problem (CRP) ports worldwide has been a highly significant research topic because of its contribution to the improvement yard-running efficiency. It can be defined as sequence that allows each extracted with least number relocations when identical containers cluster have stacked block. This study differs from previous mainly five...

This study investigates calendar anomalies in eight Islamic frontier markets. Our sample consists of the daily closing prices their stock indices for period January 2006 to September 2019. The data are categorized with respect day-of-the-week and month-of-the-year according both Gregorian calendars. We control time-varying systematic risk using Morgan Stanley Capital International (MSCI) index as proxy market portfolio apply Bonferroni correction reduce occurrence false-positive results....

Net importing countries are very susceptible to changes in the value of their currency. Pakistan, being a small open economy, faces constant pressure its current account and BOP, which leads unavoidable stress on exchange rate. Exchange rate movements affect cost imports directly have been studied extensively empirical literature. However, these studies ignore possibility asymmetric effects impact import demand Pakistan. An appreciation may different for than depreciations depending upon...

The structure and properties of public transportation networks can provide suggestions for urban planning policies.This study contributes a complex network analysis the Guangzhou metro.The metro has 236 kilometers track is 6 th busiest system world.In this paper topological are explored.We observed that displays small world assortative in nature.The possesses high average degree 17.5 with diameter 5. Furthermore, we also identified most important stations based on betweenness closeness...