International Real Estate Review

2021 ◽  
Vol 24 (2) ◽  
pp. 293-322
Author(s):  
Yuqing Hu ◽  
◽  
Piyush Tiwari ◽  
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Series Data ◽  
Property Market ◽  
Macroeconomic Factors ◽  
Commercial Property ◽  
Market Sentiment ◽  
Long Run ◽  
Short Run ◽  
The Impact

This paper identifies the impact of macroeconomic determinants of commercial property investment and development markets in Australia. A Hodrick-Prescott (HP) filter is used to filter the cyclical components of commercial property investment and development time series. In order to identify the long-run relationships and short-run dynamics, coupled with causality between these factors and property cycles, the investment and development property cycles are analyed with respect to the movement of nine macroeconomic factors by using time series data from 1987 to 2016. The empirical results suggest that the Australian commercial property market is often in an overdemand situation rather than oversupply, which can be explained by the different patterns of the property cycles on the demand and supply sides. Property investment cycles are shorter and more volatile than development cycles at around 8-10 years and more than 20 years, respectively, since there is a larger elasticity of the macroeconomic factors that underlie the investment market with short-term dynamics, while the development cycle is mainly affected by such factors moderately in the long run. Both the investment and development markets are intensively affected by financing related variables rather than market-sentiment and economic-cycle related variables.

scholarly journals Political Stability and its Impact on Economic Growth of Pakistan (1988-2018): A Time Series Analysis

2020 ◽  
Vol 6 (1) ◽  
pp. 273-282
Author(s):  
Majid Hussain Phul ◽  
Muhammad Saleem Rahpoto ◽  
Ghulam Muhammad Mangnejo
Keyword(s):  
Economic Growth ◽  
Time Series ◽  
Time Series Data ◽  
Political Stability ◽  
Series Data ◽  
Explanatory Variables ◽  
Long Run ◽  
Short Run ◽  
The Impact ◽  
Positive Effect

This research paper empirically investigates the outcome of Political stability on economic growth (EG) of Pakistan for the period of 1988 to 2018. Political stability (PS), gross fixed capital formation (GFCF), total labor force (TLF) and Inflation (INF) are important explanatory variables. Whereas for model selection GDPr is used as the dependent variable. To check the stationary of time series data Augmented Dickey Fuller (ADF) unit root (UR) test has been used,  and whereas to find out the long run relationship among variables, OLS method has been used. The analysis the impact of PS on EG (EG) in the short run, VAR model has been used. The outcomes show that all the variables (PS, GFCF, TLF and INF) have a significantly positive effect on the EG of Pakistan in the long run period. But the effect of PS on GDP is smaller. Further, in this research we are trying to see the short run relationship between GDP and other explanatory variables. The outcomes show that PS does not have such effect on GDP in the short run analysis. While GFCF, TLF and INF have significantly positive effect on GDP of Pakistan in the short run period.

Factors Affecting International Reserves with Special Reference to India

2017 ◽  
Vol 21 (4) ◽  
pp. 339-349 ◽  
Author(s):  
Mohammad Kashif ◽  
P. Sridharan ◽  
S. Thiyagarajan
Keyword(s):  
Time Series Data ◽  
Trade Openness ◽  
Negative Relationship ◽  
International Reserves ◽  
Series Data ◽  
Macroeconomic Factors ◽  
Factors Affecting ◽  
Long Run ◽  
Short Run ◽  
The Impact

World international reserves holdings have accelerated sharply in recent times. Countries particularly developing ones are competitive enough to hoard these reserves and top 10 major holders are mostly from Asia. Interestingly India comes only ninth among them. Developing countries, particularly India, are in line to hoard foreign reserves and there are certain factors that affect international reserves holdings. This study analysed the impact of few macroeconomic factors on these reserves. Augmented Dickey Fuller (ADF) and Phillips-Perron (PP) tests were employed to check the stationarity of the variables on the time series data that were of annual frequency. It was found that all variables were co-integrated signalling long-run relationship. Error correction mechanism (ECM) was implemented to get short-run dynamics for which a negative relation was established for trade openness (TRDOP) which contradicts previous studies. The negative relationship of TRDOP with international reserves in India could be due to the outcome of sustained trade deficits of Indian balance of payments. The economic growth variable exhibits a positive relationship which is consistent with previous studies. All variables were found significant at a 5 per cent level. The ECM suggested the same results as its long-run counterpart.

scholarly journals Trade determinants between Pakistan and United Arab Emirate: A time series analysis

2021 ◽  
Vol 2 (1) ◽  
pp. 25-29
Author(s):  
Muzaffar Ali ◽  
Raheela Khatoon ◽  
Muhammad Munwar Hayat ◽  
Iqbal Javed
Keyword(s):  
Time Series ◽  
United Arab Emirates ◽  
Bilateral Trade ◽  
Time Series Data ◽  
Technological Development ◽  
Series Data ◽  
Factors Affecting ◽  
Long Run ◽  
Short Run ◽  
The Impact

Economic efficiency in production of commodities depends mainly on technological development, geographically location, capital, availability of natural resources, social setup, skilled labours, customs, some economic and financial priorities. Pakistan mostly traded with China, United Arab Emirates, United State of America and Saudi Arabia. The current study is aimed to estimate the impact of different factors affecting the bilateral trade of Pakistan with United Arab Emirates. The study used annual time series data for the period from 1988 to 2019. In this analysis total bilateral trade is used as dependent variable while population, Gross Domestic Product (GDP), inflations and exchange rate of Pakistan and United Arab Emirates (UAE) were used as independent variables. ARDL approach was applied to check the relationship among the variables. The study finds short run and long run significant relationship among the variables. The gaps in business related plans & polices and entrepreneurship deficiency have prevented the country to cope with the technology advancements. Further this gap is also responsible for greater export diversification and putting of Pakistan to accomplish higher value addition. Incompetent and disorganized firms are trying to get tax exemptions and dispensation through lobbying, whereas new emerging efficient and dynamic firms are also not given confidence to take a part in market.

scholarly journals The Impact of Infrastructure on Tourism: The Case of Sri Lanka

2019 ◽  
Vol 15 (7) ◽  
pp. 174 ◽  
Author(s):  
A. M. M. Mustafa
Keyword(s):  
Time Series ◽  
Sri Lanka ◽  
Time Series Data ◽  
Positive Impact ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Government ◽  
The Impact ◽  
Adf Test

This study examines the impact of infrastructure on tourism development in Sri Lanka with greater emphasis on road network. The time period used in this study are ranging from year 2005 to year 2017. The annual time series data are analyzed by using statistical package, E-Views 10 after the preliminary calculations by using Microsoft Excel. The unit root of the variables is tested by ADF test to test the stationarity of the time series data used in the model of this study. Co-integration is tested with the use of Engle–Granger. The relationship of causality between the variables is found by test of Granger Causality. The results show that infrastructure has significant short run as well long run positive impact on tourism. Two-way causal relationship is found between tourism sector and infrastructure. Further, this study recommends that the government should play its role in improving the infrastructure facilities to increase tourist’s arrival in Sri Lanka.

Impact of exchange rate and oil price on the yield of sovereign bond and sukuk: Evidence from Malaysian capital market

2017 ◽  
Vol 5 (4) ◽  
pp. 27
Author(s):  
Huda Arshad ◽  
Ruhaini Muda ◽  
Ismah Osman
Keyword(s):  
Exchange Rate ◽  
Capital Market ◽  
Time Series Data ◽  
Oil Prices ◽  
Oil Price ◽  
Series Data ◽  
Sovereign Bond ◽  
Long Run ◽  
Short Run ◽  
The Impact

This study analyses the impact of exchange rate and oil prices on the yield of sovereign bond and sukuk for Malaysian capital market. This study aims to ascertain the effect of weakening Malaysian Ringgit and declining of crude oil price on the fixed income investors in the emerging capital market. This study utilises daily time series data of Malaysian exchange rate, oil price and the yield of Malaysian sovereign bond and sukuk from year 2006 until 2015. The findings show that the weakening of exchange rate and oil prices contribute different impacts in the short and long run. In the short run, the exchange rate and oil prices does not have a direct relation with the yield of sovereign bond and sukuk. However, in the long run, the result reveals that there is a significant relationship between exchange rate and oil prices on the yield of sovereign bond and sukuk. It is evident that only a unidirectional causality relation is present between exchange rate and oil price towards selected yield of Malaysian sovereign bond and sukuk. This study provides numerical and empirical insights on issues relating to capital market that supports public authorities and private institutions on their decision and policymaking process.

Does Public Debt Service Expenditure Crowd-Out Economic Growth? Empirical Evidence from an African Developing Country

2019 ◽  
Vol 64 (3) ◽  
pp. 23-38
Author(s):  
Talknice Saungweme ◽  
Nicholas M. Odhiambo
Keyword(s):  
Economic Growth ◽  
Public Debt ◽  
Time Series Data ◽  
Policy Formulation ◽  
Debt Service ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
The Impact

Abstract This paper contributes to the ongoing debate on the impact of public debt service on economic growth; and it provides an evidence-based approach to public policy formulation in Zimbabwe. The empirical analysis was performed by applying the autoregressive distributed lag (ARDL) technique to annual time-series data from 1970 to 2017. The study findings reveal that the impact of public debt service on economic growth in Zimbabwe is negative in the short run but positive in the long run. The results are suggestive of the existence of a crowding-out effect of public debt service in Zimbabwe in the short run and a crowding-in effect in the long run. In view of these findings, the government should consider fiscal and financial policies that promote a constant supply of long-term finance, long-term fixed investments, and extension of a government securities maturity structure so as to ensure sustainable short- and long-term public debt service expenditures. The study further recommends the strengthening of non-distortionary revenue mobilisation reforms to reduce market distortions and boost domestic investment.

Asset Quality and Deposit Money Banks Performance in Nigeria

2019 ◽  
Vol 1 (1) ◽  
pp. 38-47
Author(s):  
Mbatabbey Joy Ogboru
Keyword(s):  
Time Series ◽  
Financial Stability ◽  
Deposit Insurance ◽  
Time Series Data ◽  
Annual Reports ◽  
Series Data ◽  
Bank Performance ◽  
Long Run ◽  
Short Run ◽  
Asset Quality

This study investigate the relationship between asset quality and deposit money banks performance in Nigeria over a period of 30 years ranging from 1986 to 2016, utilizing time series data collected from the Nigeria deposit insurance corporation annual reports and accounts, CBN financial stability report and CBN statistically bulletin for various years. The variables of study includes return on asset (ROA) proxy for Deposit Money Bank performance in Nigeria, ratio of non-performing loan to total loan (NPL), ratio of liquid assets to total assets (LAT) and ratio of liquid assets to short term liabilities (LAS) as measures of asset quality. The study utilizes both the descriptive and econometric techniques to analyze the time series data. The result shows that there is a short run relationship between asset quality and deposit money bank performance in Nigeria. Also, the co-integration result reveals the presence of a long run relationship between asset quality and deposit money bank performance in Nigeria while the granger causality result shows evidence of causality between asset quality and deposit money bank performance in Nigeria. Based on this we conclude by saying that maintaining sound assets quality position is critical to the long term performance, survival and sustainability of DMBs in Nigeria.

scholarly journals Relationship between Crime and Economic Conditions in Sindh: A Time Series Approach from 1984-2015

2020 ◽  
Vol 5 (2) ◽  
pp. p1
Author(s):  
Irfan Hussain Khan ◽  
Khan Alyas ◽  
Nighat Hanif ◽  
Ansa Zaiba
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Policy Formation ◽  
Economic Conditions ◽  
Series Data ◽  
Productive Capacity ◽  
Statistical Process ◽  
Long Run ◽  
Short Run ◽  
Reported Crime

Using the time series data from 1984 to 2015, this study attempts to explore Sindh economic situation and the relationship between criminal activities. Three Variables are used for economic conditions, such as crime rate, dropout ratio and unemployment. We check their relationship with the reported crime. Enhanced Dicky Fuller test for unit root process indicates that all variables are stationary at the first level. For long-term relationships, Johanson-Cointegration technology has been applied. The results of the statistical process show that dropout ratio and unemployment are closely related to crime.VCM has been applied to check the short-run relationship between the variables. VCM results suggested that the model we estimate is divergent. Divergent model mean that there is no adjustment from long-run to short-run between variables as they are going away, if we increase the lag length, the model can become divergent but due to crime data unavailability it was difficult to increase the observations and the lags as well. Study gives evidence that economic conditions have significant impact on crimes and increasing dropout which is Positive related with crime in Sindh. It is also shown that the crime is influenced by economic condition. Government is capable to reduce that threat through effective target policies and legislation. The empirical results of this study will enhance understanding of the role of public sector policy formation in promoting national productive capacity by uplifting the positive effect of the Sindh economy.

scholarly journals Climate Change Impact On Rice Production in Pakistan: An ARDL-Bounds Testing Approach to Cointegration

2018 ◽  
Author(s):  
Abbas Ali Chandio ◽  
Yuansheng Jiang ◽  
Habibullah Magsi
Keyword(s):  
Climate Change ◽  
Time Series Data ◽  
Rice Production ◽  
Series Data ◽  
Bounds Testing ◽  
Long Run ◽  
Short Run ◽  
Bounds Testing Approach ◽  
The Impact ◽  
Ardl Bounds Testing Approach

This research paper aims to examine the relationship between CO2, temperature, area, fertilizers and rice production in Pakistan. This study used Augmented Dickey Fuller (ADF) and Phillips Perron (PP) unit root tests to check the order of integration of each variable. The cointegration analysis with ARDL bounds testing approach is used to examine the impact of climate change on rice production in Pakistan over time series data from the period 1968 to 2014. The parameter stability test of the model is also checked at the end. The results of estimation show that the important variables of the study are cointegrated demonstrating the presence of long-run association among them. Furthermore, climate change factors, e.g. CO2 and temperature have a long-run and short-run positive effect on the production of rice in Pakistan. This present work is original and it is first time empirically tested the impact of climate change on rice production in Pakistan. The annual time series data of 47 years enhances the validity of the empirical findings. The most fruitful finding of this research is that rice production in Pakistan is positively influenced by emission of carbon dioxide (CO2) at 5 percent significance level in both long-run and short-run.

scholarly journals Impact of Poverty and Population Increase on Environmental Degradation: A Comparative Study of Pakistan and India

2020 ◽  
Vol 3 (2) ◽  
pp. 169-176
Author(s):  
Sher Ali ◽  
Bibi Aisha Sadiqa ◽  
Sajjad Ali ◽  
Shabana Parveen
Keyword(s):  
Air Pollution ◽  
Industrial Production ◽  
Co2 Emission ◽  
Time Series Data ◽  
Population Increase ◽  
Series Data ◽  
Long Run ◽  
Short Run ◽  
Annual Time Series ◽  
The Impact

This study is devoted to elucidating the impact of poverty and population increase on air pollution (CO2-emission) in the two most populous countries of South Asia i.e. Pakistan and India. Annual time series data for the period of 1990-2018 are used to examine the said impact. To estimate the desired impact Autoregressive Distributed Lags (ARDL) technique is used. It is observed that CO2 emission is significantly determined by population increase and poverty in case of India. In the case of Pakistan population increase significantly affect CO2 emission in both the short run and long run, while poverty don not contributed significantly in the long run. Industrial production if found positive and statistically significant in both the runs. Stability of the model and other diagnostic tests are also employed not serious econometric problems are repowered. It is suggested on the bases of results that serious steps should be taken to reduce environmental pollution by reducing population increase and poverty. Industrial production also contributed to air pollution therefore industrial policies are also needed to be employed to reduce Air pollution.

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