Asian Investment in Australian Capital City Property Markets

1986 ◽  
Vol 18 (3) ◽  
pp. 323-340 ◽  
Author(s):  
C Adrian ◽  
R Stimson
Keyword(s):  
Economic Growth ◽  
Real Estate ◽  
Foreign Investment ◽  
Gold Coast ◽  
Capital City ◽  
Property Market ◽  
Equity Investment ◽  
The Past ◽  
Market Opportunities ◽  
Property Markets

In the mid-1970s Asian investment in Australia accounted for less than 15% of the total foreign investment inflow. By 1984 the inflow from Asia had increased dramatically to 40% or $A4155 million per annum. Over the past ten years an increasing proportion of the Asian investment inflow has been directed to the capital city property markets—particularly Sydney, Melbourne, Perth, Brisbane, and the Gold Coast. In this paper the reasons for these changes, and in particular the deregulation of the Australian finance sector and the underdeveloped conservative nature of Australian property markets, are analysed. It is argued that the changing nature of the capital city property markets is part of the process of integration into a world property market dominated by finance, corporate, and service linkages, and between the larger global cities, of which Sydney is one. Comparisons are made between the investment philosophies and behaviours of the Asian property investors active in Australia and those of their Australian and European counterparts. The paper focuses on the risk philosophies of the Asian investors and the degree to which they are providing a vital injection of funds for previously underdeveloped market opportunities. A critique is made of the existing Foreign Investment Review Board guidelines as they apply to equity investment by foreigners in Australian urban real estate. It is concluded that the guidelines have become an anachronism, and rather than protect the interest of Australia they have contributed to the growth in overseas indebtedness and are detrimental to sustained economic growth.

scholarly journals SIGNIFICANCE AND PERFORMANCE OF PROPERTY MARKETS IN MALAYSIA

2021 ◽  
Vol 19 (17) ◽  
Author(s):  
Mohd Haris Yop
Keyword(s):  
Real Estate ◽  
Business Environment ◽  
Real Estate Market ◽  
Study Data ◽  
Asia Pacific ◽  
Property Market ◽  
Transparency International ◽  
And Performance ◽  
Environment Index ◽  
Property Markets

The importance of the global real estate market has been widely debated over the last decade. Prior discussion has focused on various aspects of analysis used to evaluate the performance of the property market, such as statistical analysis, surveys, academic or industrial literature. As a result, it is also necessary to examine the global and Asian property markets while also evaluating the significance and performance of the Malaysian property market in comparison to other Asian markets to determine Malaysia's international contribution to the global property market. The performance of Malaysia's property market from 2015 to 2018 was examined in this study. Data was gathered using Thomson Router Data Stream from Real Capital Analytic, Asia Pacific Real Estate Association (APREA), World Economic Forum, and Transparency International, among others. The study's findings will extend knowledge not only of the performance and significance of the Malaysian property market, but also of GDP growth, inflation rate, market ranking global, competitiveness business environment index, corruption perception, and risk and transparency index in Malaysia and across Asian countries. The overall results indicate that the performance and signs of the Malaysian real estate market were better compared to other Asian and developing markets.

scholarly journals The Australian Residential Property Market: A Study on Foreign Real Estate Investment

10.29007/lb9p ◽  
2018 ◽  
Author(s):  
Peng Wong ◽  
Ron Wakefield
Keyword(s):  
Real Estate ◽  
Foreign Investment ◽  
Global Financial Crisis ◽  
Market Performance ◽  
House Price ◽  
Asia Pacific ◽  
Residential Property ◽  
Property Market ◽  
Real Estate Investment ◽  
The Relationship

This research focuses on determining the significance of foreign investment in the Australian residential property market subsequent to the Global Financial Crisis 2008. Quantitative models built on secondary data were tested on two residential property markets comprising Metropolitan Melbourne and a key suburb in the Victoria State, Australia. The relationship between the house price performances and various leading offshore and local Australian economic indicators were assessed. As a result of the increasing relevance of globalisation and Asia Pacific private wealth in the Australia, foreign real estate investment has impacted significantly the Melbourne residential property market performance. The result of this study provides a better understanding on the relationship between the Australian residential property market performance and the emerging significance of the foreign investment drivers. A better understanding of these foreign investment determinants will assist policy makers to effectively manage the Australian residential property market without compromising the steady flow of foreign real estate investment. The result of this study is believed to yield findings that can assist the researcher, property market operators and investors in the evaluation of foreign investments in the Australia residential housing market.

scholarly journals THE DYNAMIC OF RETURNS AND VOLATILITY OF MALAYSIAN LISTED PROPERTY COMPANIES IN ASIAN PROPERTY MARKET

2015 ◽  
Vol 19 (1) ◽  
pp. 66-83 ◽  
Author(s):  
Muhammad Najib RAZALI
Keyword(s):  
Real Estate ◽  
Real Estate Market ◽  
Empirical Literature ◽  
Asian Countries ◽  
Property Market ◽  
The Past ◽  
Property Companies ◽  
High Volatility ◽  
International Investors

This paper examines the dynamics of return and dynamic volatility across the Malaysian and pan-Asian countries’ listed property companies market over the period January 1998 to August 2012. Listed property companies’ portfolios have the potential to offer high returns and low risks for long-term investments for individuals as well as institutional investors. As such, it is important to assess the return and volatility level of the Malaysian listed property companies market in the dynamic region of pan-Asian countries. This paper uses ARCH and GARCH models to empirically examine the dynamic volatility of listed property companies in 12 pan-Asian countries. The findings revealed that for the past 14-years Malaysia experienced moderately high volatility levels in term of investment in listed property companies. This study will contribute significantly to the empirical literature on the volatility dynamics of the Malaysian property market in international real estate portfolios. In particular, the findings from the study will be useful for international investors to better understand the potential portfolio implications of investing in the Malaysian real estate market.

Achieving property valuation accuracy in developing countries: the implication of data source

2018 ◽  
Vol 11 (3) ◽  
pp. 573-585 ◽  
Author(s):  
Rotimi Boluwatife Abidoye ◽  
Albert P.C. Chan
Keyword(s):  
Real Estate ◽  
Data Bank ◽  
Developing Nations ◽  
Selling Price ◽  
Property Market ◽  
Data Set ◽  
Content Type ◽  
Transaction Data ◽  
Property Valuation ◽  
Property Markets

PurposeThe demand for accurate property value estimation by valuation report end users has led to a shift towards advanced property valuation modelling techniques in some property markets and these require a sizeable number of data set to function. In a situation where there is a lack of a centralised transaction data bank, scholars and practitioners usually collect data from different sources for analysis, which could affect the accuracy of property valuation estimates. This study aims to establish the suitability of different data sources that are reliable for estimating accurate property values.Design/methodology/approachThis study adopts the Lagos metropolis property market, Nigeria, as the study area. Transaction data of residential properties are collected from two sources, i.e. from real estate firms (selling price) and listing prices from an online real estate company. A portion of the collected data is fitted into the artificial neural network (ANN) model, which is used to predict the remaining property prices. The holdout sample data are predicted with the developed ANN models. Thereafter, the predicted prices and the actual prices are compared so as to establish which data set generates the most accurate property valuation estimates.FindingsIt is found that the listing data (listing prices) produced an encouraging mean absolute error (MAE), root mean square error (RMSE) and mean absolute percentage error (MAPE) values compared with the firms’ data (selling prices). An MAPE value of 26.93 and 29.96 per cent was generated from the listing and firms’ data, respectively. A larger proportion of the predicted listing prices had property valuation error of margin that is within the industry acceptable standard of between ±0 and 10 per cent, compared with the predicted selling prices. Also, a higher valuation accuracy was recorded in properties with lower values, compared with expensive properties.Practical implicationsThe opaqueness in real estate transactions consummated in developing nations could be attributed to why selling prices (data) could not produce more accurate valuation estimates in this study than listing prices. Despite the encouraging results produced using listing prices, there is still an urgent need to maintain a robust and quality property data bank in developing nations, as obtainable in most developed nations, so as to achieve a sustainable global property valuation practice.Originality/valueThis study does not investigate the relationship between listing prices and selling prices, which has been conducted in previous studies, but examines their suitability to improve property valuation accuracy in an emerging property market. The findings of this study would be useful in property markets where property transaction data bank is not available.

scholarly journals Analysis of The Leading Sector of North Penajam Paser Regency 2015 – 2019

2020 ◽  
Vol 2 (2) ◽  
pp. 112
Author(s):  
Irfan Sofi
Keyword(s):  
Economic Growth ◽  
Real Estate ◽  
Local Governments ◽  
Regional Economy ◽  
Central Government ◽  
Capital City ◽  
Economic Sectors ◽  
Location Quotient ◽  
The Government ◽  
Regional Funds

The Central Government has designated North Penajam Paser Regency as one of the new capital areas. The aim of the Government to move the capital city from Java Island is for equitable development and economic growth. The existence of limited regional funds requires local governments to arrange the priority of economic sectors which have to be developed in their regions. Mistakes in selecting priority sectors will cause waste of funds and underdevelopment of the regional economy. The purpose of this research is to identify and analyze the leading sectors of North Penajam Paser Regency. This research uses Location Quotient and Shift Share analysis methods with Gross Regional Domestic Product for 2015 to 2019. The results showed that the construction and real estate sectors were the leading sectors.

Concealment of Illegally Obtained Assets in Nigeria: Revisiting the Role of the Churches in Money Laundering

2020 ◽  
Vol 28 (1) ◽  
pp. 106-121
Author(s):  
Kato Gogo Kingston
Keyword(s):  
Economic Growth ◽  
Money Laundering ◽  
Financial Crime ◽  
The Past ◽  
Key Drivers ◽  
Nigerian Government

Financial crime in Nigeria – including money laundering – is ravaging Nigeria's economic growth. In the past few years, the Nigerian government has made efforts to tackle money laundering by enacting laws and setting up several agencies to enforce the laws. However, there are substantial loopholes in the regulatory and enforcement regimes. This article seeks to unravel the involvement of the churches as key drivers in money laundering crimes in Nigeria. It concludes that the permissive secrecy which enables churches to conceal the names of their financiers and donors breeds criminality on an unimaginable scale.

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