scholarly journals International Real Estate Review

2020 ◽  
Vol 23 (2) ◽  
pp. 211-234
Author(s):  
Kwabena Mintah ◽  
◽  
Woon-Weng Wong ◽  
Peng Yew Wong ◽  
◽  
...  

The purpose of this study is to evaluate the impact of cross border real estate investments on the performance of the direct commercial property market in Australia. Using an autoregressive distributed lag (ARDL) model, factors including volume of cross border real estate investments, real gross domestic product (RGDP), office stock, and vacancy and net absorption rates are examined for their impact on total returns. The results indicate that traditionally established long-term drivers, including RGDP, office stock, and vacancy and net absorption rates, are still relevant. It is found that cross border real estate investments have impact on the performance of the direct commercial office property market in Australia. The results and findings would help property investors, developers, policymakers, and stakeholders in decision making around property investments. This research is an initial study that focuses on the impact that cross border real estate investments have on the performance of the direct commercial/office property market in Australia.

2009 ◽  
Vol 13 (1) ◽  
pp. 23-35 ◽  
Author(s):  
Heidi Falkenbach

The Finnish commercial property market internationalised rapidly in the beginning of the 21st century. According to the portfolio theory and previous research on international property investments, the main motivation factor driving international real estate investments is the possibility to reach diversification benefits. The paper discusses the diversification benefits offered by the Finnish property market in its early years of internationalisation. As international real estate investors in the Finnish property market include investors with both real estate only, as well as mixed‐asset portfolios, the diversification benefits are studied both in terms of a Finnish mixed-asset portfolio, as well as international real estate portfolio. Santruka XXI a. pradžioje Suomijos komercinio nekilnojamojo turto rinkoje sparčiai vyko tarptautiniai procesai. Remiantis portfelio teorija ir ankstesniais tyrimais apie tarptautines investicijas i nekilnojamaji turta, pag rindinis veiksnys, kuris skatina tarptautines nekilnojamojo turto investicijas ‐ tai galimybe gauti diversifi kacijos teikiama nauda. Darbe aptariama, kokia nauda siūle Suomijos nekilnojamojo turto rinka ankstyvaisiais internacionalizacijos metais. Kadangi kai kurie Suomijos nekilnojamojo turto rinkoje veikiantys tarptautiniai nekilnojamojo turto investuotojai užsiima tik nekilnojamuoju turtu, o yra ir tokiu, kurie turi mišraus turto portfelius, diversifi kacijos nauda nagrinejama ir pagal Suomijos mišraus turto portfeli, ir pagal tarptautini nekilnojamojo turto portfeli.


2020 ◽  
Vol 71 (2) ◽  
pp. 97-108
Author(s):  
Nawaf Alghusin ◽  
Ayman Abdalmajeed Alsmadi ◽  
Esraa Alkhatib ◽  
Atala Mohammad Alqtish

The aim of this paper is to examine the impact of financial policy on rate of economic growth in Jordan for the period of (2000-2017) taking into the considerations the fluctuations of taxation system. Autoregressive Distributed Lag (ARDL) approach has been utilized in order to analyze the long term relationship between study variable which are; money supply (M2), domestic credit provided by banks (DCBS) and real Gross Domestic Product GDP. The results shows that, money (M2) and domestic credit provided by banks (DCBS) can effects on GDP in Jordan for the study period. The taxation system in Jordan has been fluctuated many times during 2017 and 2018, which made the data partly not available. This led the researchers to spend long time to find an accurate data in order to finalize this study. This study will add good practical evidence on the impact of changing the taxation system positively or negatively on the economic growth.


2021 ◽  
Vol 234 ◽  
pp. 00025
Author(s):  
Hajar Abous ◽  
Mhamed Hamiche ◽  
Mohamed El Merouani

The appearance of the COVID-19 virus has a huge impact on the economy, where many factories and logistics flows are affected. With global supply chains severely disrupted, production and consumption centers around the world are beginning to be affected by the situation. our study tried to measure the impact of this pandemic on the containers transport in Morocco, our work targeted the Tanger Med port due to its geographic position as the most important link between Africa and Europe, Autoregressive Distributed Lag (ARDL) cointegration technique was applied, this model integrates the term of lag and difference in the modeling of linear series. To verify the existence of long-term relationships, F-bond test was applied. The model was estimated on short and long term. the results were significant and has shown that the activity within Tanger Med port, experienced a shock during the pandemic period.


2020 ◽  
Vol 12 (17) ◽  
pp. 6959 ◽  
Author(s):  
Mingyuan Guo ◽  
Yanfang Hu

This paper studies the impact of financial development on carbon emissions in China from 1997 to 2016. First, this paper uses the entropy method to construct a synthetical index to measure the financial development. Meanwhile, a two-dimensional panel framework is introduced to group provinces in the panel analysis. The estimation results of the time series autoregressive distributed lag model show that for China as a whole, there is a weak carbon emissions reduction effect of financial development, whether it is a long-term effect or a short-term effect. The estimation results of the panel autoregressive distributed lag model also support that an increase in financial development suppresses carbon emissions. Although financial development inhibits carbon emissions both in the short run and in the long run, the absolute value of the long-term coefficient of financial development is significantly greater than that of the short-term coefficient.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Bolesław Kołodziejczyk ◽  
Dmytro Osiichuk ◽  
Paweł Mielcarz

PurposeRelying on a unique proprietary Polish office market space database, the paper attempts to quantify the impact of buildings' age on the financial performance of real estate assets.Design/methodology/approachPanel econometric modeling was utilized to disentangle the impact of buildings' functional obsolescence and technical deterioration on their long-term financial performance.FindingsIn line with casual empiricism, our findings show a negative associative link between properties' age and potential lease revenue. The concomitant stickiness of service charges presages a possible long-term deterioration of financial outcomes of real estate investments. While older buildings generally have higher occupancy rates, the absorption rates are found to be negatively affected by the properties' age. On the bright side, the elasticity of vacancy rate with respect to rental rates is found to decrease as buildings get older. Further, the rent differential is confirmed to be more pronounced in higher age properties hinting at an existing potential for price discrimination, which may at least partially compensate for stagnant rents.Originality/valueOur empirical results confirm the properties' age to be a statistically significant factor in shaping the long-term performance of real estate assets, which should be better accounted for in financial projections for real estate developments.


Economies ◽  
2021 ◽  
Vol 9 (4) ◽  
pp. 202
Author(s):  
Sami Alabdulwahab

Saudi Arabia is one of the world’s major producers of oil. The Saudi Government has launched its vision for the coming decade: Saudi Vision 2030 (also known as 2030 Vision). Saudi Vision 2030 aims to diversify economic income and be independent of oil revenue. The focus of Saudi Vision 2030 is increasing the role of the non-oil GDP in the economy. In this study, I tried to examine the link between oil and non-oil GDP in Saudi Arabia. I used autoregressive distributed lag (ARDL) cointegration, the most common tool used to examine linkages among variables. My ARDL results confirm the long-term cointegration between non-oil GDP and oil rent, thus implying that oil rent-seeking strategies still exist in Saudi Arabia. The short-term dynamics confirmed the impact of oil rent over the non-oil GDP. The ARDL results led to analyses of asymmetric effects. The NARDL model estimated and confirmed the symmetric effect of the oil rent on non-oil GDP. These results demonstrate the challenges in diversifying Saudi Arabia’s income.


2018 ◽  
Vol 4 (2) ◽  
pp. 172-186
Author(s):  
Wahyu Dyah Novitasari ◽  
Sri Hartoyo ◽  
Lukytawati Anggraeni

This study aims to analyze the impact of trade openness on the performance of manufacturing in Indonesia. In the study, performance and manufacturing growth indicated by the index of competitiveness and manufacturing added value. In aggregate, over the last few years, trade performance of Indonesia’s manufacturing sector has decreased due to the low index of competitiveness and comparative advantage. The empirical results using an Autoregressive Distributed Lag (ARDL) model with Error Correction Approach (ECM) shows that trade openness consistently negative effect on manufacturing value added, implicitly increase one percent change in trade openness would be deficit of changes in manufacturing value added of 4.26 billion rupiah, ceteris paribus. Furthermore, the amount of labor consistently positive effect on manufacturing value added, while fixed capital variable and value-added of previous lag (a year earlier) take effect by unstable in the long term as well as short then the crisis has also negatively affect the manufacturing value added.


Author(s):  
Yakup Ari

The purpose of this study is to put out the impact of volatility of the USD-TRY forex rate on imports to Turkey from Central Asia. The volatility of the USD/TRY exchange rate is analysed with a conditional variance model which is Generalised Autoregressive Conditional Heteroscedastic (GARCH) model and its extensions. The other section of the methodology is an application of Autoregressive Distributed Lag (ARDL) bounds test which is an efficient approach to determine the cointegration, long-term and short-term relations between macroeconomic variables. The exponential GARCH volatility of the exchange rate and the monthly trade data between the years 2005 and 2018 are used in the ARDL bounds test.


2018 ◽  
Vol 4 (2) ◽  
pp. 172-186
Author(s):  
Wahyu Dyah Novitasari ◽  
Sri Hartoyo ◽  
Lukytawati Anggraeni

This study aims to analyze the impact of trade openness on the performance of manufacturing in Indonesia. In the study, performance and manufacturing growth indicated by the index of competitiveness and manufacturing added value. In aggregate, over the last few years, trade performance of Indonesia’s manufacturing sector has decreased due to the low index of competitiveness and comparative advantage. The empirical results using an Autoregressive Distributed Lag (ARDL) model with Error Correction Approach (ECM) shows that trade openness consistently negative effect on manufacturing value added, implicitly increase one percent change in trade openness would be deficit of changes in manufacturing value added of 4.26 billion rupiah, ceteris paribus. Furthermore, the amount of labor consistently positive effect on manufacturing value added, while fixed capital variable and value-added of previous lag (a year earlier) take effect by unstable in the long term as well as short then the crisis has also negatively affect the manufacturing value added.


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