scholarly journals The impact of aircraft noise and complaints on Brisbane residential property investment performance

Author(s):  
Chris Eves
2019 ◽  
Vol 266 ◽  
pp. 02005
Author(s):  
Azlina Md. Yassin ◽  
Mohd Lizam Mohd Diah ◽  
Edie Ezwan Mohd Safian ◽  
Mohd Yamani Yahya ◽  
Sulzakimin Mohammad ◽  
...  

The objective of this paper is to examine the effect of aircraft noise on residential property price within the case study area, and the main focus of this research was the distance of selected residential housed from Kuching International Airport (KIA). Aircraft noise is a source of noise pollution and act as environment factor that affect the house prices. Environmental disamenities from water and noise pollution will caused the houses to sell at lower price, accounted 20.8% less than houses located in area without noise interference. Apparently, the noise produced by the aircraft has even larger negative impact on house prices as compared to road traffic noise and railway noise. This study adopted quantitative approach in answering the objective of the paper. The findings were based on the secondary data which including 210 property transaction data within year 2015. The range of areas for this study was limited to selected residential terrace houses that located within 10.0 km from Kuching International Airport (KIA). The findings from Multiple Regression Analysis (MRA) shows that the property prices located nearer to the airport (<2.5 km from KIA) in selected case study areas have been sold with lower price. Moreover, the prices of the properties located distance from KIA were not negatively impacted by the aircraft noise due to the other pulling factor that has larger impact to the property. Indeed, the location of the property, public amenities, transportation system, neighborhood factor and facilities also has close relationship to the property price.


Risks ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 6
Author(s):  
Łukasz Dopierała ◽  
Magdalena Mosionek-Schweda

The aim of this paper is to assess the impact of reforms introduced in the operation of Polish open pension funds on management style, risk exposure and related investment performance. The article analyzes the impact of the reformed regulations on the herd behavior of fund managers. In particular, we examined whether the elimination of the internal benchmark for fund evaluation impacts the elimination or reduction of herd behavior. We proposed a multi-factor market model to evaluate the performance of funds investing in various types of instruments. Moreover, we used panel estimation to directly take into account the impact of the internal benchmark on herd behavior. Our results indicate that highly regulated funds may slightly outperform passive benchmarks and their unregulated competitors. In the case of Polish open pension funds, limiting investments in Treasury debt instruments clearly resulted in increased risk and volatility of returns. However, it also raised competition between funds and decreased the herd behavior. Additionally, the withdrawal of the mechanism evaluating funds based on the internal benchmark was also important in reducing herd behavior.


1992 ◽  
Vol 7 (3) ◽  
pp. 297-314 ◽  
Author(s):  
Alan Reichert ◽  
Michael Small ◽  
Sunil Mohanty

Author(s):  
Olgun Aydin ◽  
Krystian Zielinski

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 Tr&oacute;jmiasto 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.


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