scholarly journals Residential property market performance and extreme risk measures

2016 ◽  
Vol 23 (1) ◽  
pp. 1-13
Author(s):  
David M. Higgins
Keyword(s):  
Risk Measures ◽  
Market Performance ◽  
Residential Property ◽  
Property Market ◽  
Extreme Risk

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.

Analysing the Residential Market in Trójmiasto Using Self-Organizing Map

2021 ◽  
Author(s):  
Olgun Aydin ◽  
Krystian Zielinski
Keyword(s):  
Multidimensional Data ◽  
Residential Property ◽  
Self Organizing Map ◽  
Property Market ◽  
Residential Properties ◽  
Price Trends ◽  
Residential Market ◽  
Key Aspects ◽  
The Impact ◽  
Self Organizing

Although the residential property market has strong connections with various sectors, such as construction, logistics, and investment, it works through different dynamics than do other markets; thus, it can be analysed from various perspectives. Researchers and investors are mostly interested in price trends, the impact of external factors on residential property prices, and price prediction. When analysing price trends, it is beneficial to consider multidimensional data that contain attributes of residential properties, such as number of rooms, number of bathrooms, floor number, total floors, and size, as well as proximity to public transport, shops, and banks. Knowing a neighbourhood's key aspects and properties could help investors, real estate development companies, and people looking to buy or rent properties to investigate similar neighbourhoods that may have unusual price trends. In this study, the self-organizing map method was applied to residential property listings in the Trójmiasto area of Poland, where the residential market has recently been quite active. The study aims to group together neighbourhoods and subregions to find similarities between them in terms of price trends and stock. Moreover, this study presents relationships between attributes of residential properties.

scholarly journals The Comparative Analysis Of Asking And Traded Price Indices In Different Floor Area Subsegments Of The Residential Property Market

2015 ◽  
Vol 23 (3) ◽  
pp. 14-25
Author(s):  
Sebastian Kokot ◽  
Marcin Bas
Keyword(s):  
Comparative Analysis ◽  
Empirical Analysis ◽  
Residential Property ◽  
Price Indices ◽  
Property Market ◽  
Floor Area ◽  
Property Price

Abstract There are several acknowledged methods for determining residential property price indices. However, all of them have their drawbacks and advantages and reflect the averaged real movements of prices with varying accuracy. The paper attempts to answer the question: How faithfully do indices based on asking prices reflect the movements of traded prices? As a result we will find out whether, in the situation when property price indices cannot be determined, asking price based indices can be used instead. The paper specifies theoretical and practical aspects of constructing residential property price indices on the basis of asking and traded prices. It also contains an empirical analysis of these two index types.

scholarly journals On Selecting Approaches to Analysis of the Residential Property Market

2019 ◽  
Vol 10 (2) ◽  
Author(s):  
Natalya Kovalevskaya ◽  
Vladislav Tyunkov
Keyword(s):  
Real Estate ◽  
Residential Property ◽  
Property Market ◽  
Dual Nature ◽  
Factors Affecting ◽  
Market Participants ◽  
Consumer Interests ◽  
Private Investors ◽  
The Impact ◽  
Private Individual

The article examines the issues of developing the residential property market taking into account the specifics of real estate as an object of the economic analysis. It reveals the terms of implementing economic interest in investing in residential property, identifies the features inherent in the residential property market as investment and commodity markets. It analyses the dual nature of real estate which explains the development of investment and consumer interests of the residential property market participants. The article analyses the interrelation of «saving - investment - consumption» at the level of implementing private (individual) interests of economic subject. It makes a comparison of various investment assets in terms of their attractiveness for private investors, depending on various factors affecting the decision to invest. It analyses the terms that allow to fully disclose the investment or consumer aspects of the residential property market. It considers the impact of the governmental investment policy directed at supporting and promoting development aspects of the residential property market.

scholarly journals BRE INDEX FOR THE HONG KONG RESIDENTIAL PROPERTY MARKET

2004 ◽  
Vol 8 (2) ◽  
pp. 105-119 ◽  
Author(s):  
Eddie Chi Man Hui ◽  
Joe Tak Yun Wong
Keyword(s):  
Hong Kong ◽  
Housing Price ◽  
Capital Gains ◽  
Residential Property ◽  
Property Market ◽  
Price Expectations ◽  
Significant Difference ◽  
Market Outlook ◽  
Price Trends ◽  
Residential Market

This paper examines housing price trends and prediction, of homeowners and potential home buyers, and establishes an independent index (the BRE Index) based on longitudinal telephone surveys collected. The Index, first of this kind in Hong Kong, measures price expectations and benchmarks the level of housing actors’ confidence in the residential market. This is the first paper delivered as part of a government‐funded research project. It synthesizes the key findings of the first survey mounted from 17th to 20th December, 2003. The results show that confidence among housing actors has begun to grow since the property crash in late 1997 with the “overall” BRE Index standing at 564 (0–1000 range). In general, homeowners, people with higher educational level and higher income are optimistic about the market outlook. Residential property prices are expected to rise marginally in the short term. Statistically, there is no significant difference in housing price expectations between homeowners and non‐owners. In their minds, economic condition is the most important factor affecting housing decisions. Apparently, the rising trends in the immediate past have been used to form expectations. The strength of the association between actual capital gains and forecast capital gains is moderately strong, and there appears co‐movement between them. This leads us to believe that hope‐led expectations increase the likelihood of sustaining price increases. The current market is largely driven by expectations. If households formed their expectations in a similar manner in other periods, there would be similar “positive hit” results, which might render the Index more powerful.

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