991 resultados para residential market


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Purpose – This paper aims to review property cycle theory and the relevance of the larger body of knowledge about cycles with reference to the housing market. It also aims to highlight the lack of research into property cycles in the residential sector on a suburb or smaller region basis, as well as the potential for increased knowledge about cycles to assist to avoid housing stress.

Design/methodology/approach – The paper conducts a literature review of previous cycle research and encourages the use of cycle theory. It discusses the established body of knowledge about business cycles and the office market sector, as well as investigating levels of housing affordability and how detailed knowledge about property cycles can assist to decrease housing affordability in residential areas, which will eventually experience a downturn.

Findings – It is argued that an increased level of certainty about cycle behaviour in particular suburbs will give households a higher level of confidence when considering whether and when to enter the market. Property cycle research has the potential to assist low-income homeowners to better understand the characteristics of cycles and associated risks in each residential.

Research limitations/implications – This is a conceptual paper and has conducted a review of cycle research and housing affordability in certain countries. Some areas or countries may be affected to varying degrees by property cycles and levels of housing affordability.

Practical implications –
In extended periods of high volatility it is argued that a better understanding of housing cycles will allow more homeowners to avoid negative equity and the stress associated with repossessions. Property cycles are unavoidable although there is typically relatively little information available in the open market about the timing and amplitude of cycles in individual areas.

Originality/value – This paper is unique as it highlights the potential for property cycles to be used to avoid housing stress in the residential market. Traditionally cycle research is used to increase returns and avoid downturns in the office and/or business sectors.

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The New York Metropolitan region is one of the most populous urban agglomerations in the world, and the single largest in North America.[1] It is also one of the most prominent economic centers, with New York City at the epicenter of its growth. With the entire region growing rapidly over the last decade, it is essential to analyze the socio-economic changes in order to understand the impact it has on commercial real estate. With its focus on housing rentals, this study aims to highlight housing costs as a function of rapid transit over time.

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Prior to the GFC, Brisbane and Perth were experiencing the highest increases in median residential house prices, compared to the other major Australian cities, due to strong demand for both owner occupied and investment residential property. In both these cities, a major driver of this demand and subsequent increases in residential property prices was the strong resources sector. With the onset of the GFC in 2008, the resources and construction sectors in Queensland contracted significantly and this had both direct and indirect impacts on the Brisbane residential property market. However, this impact was not consistent across Brisbane residential property sectors. The affect on houses and units differed, as did the impact based on geographic location and suburb value. This paper tracks Brisbane residential property sales listings, sales and returns over the period February 2009 to July 2010 and provides an analysis of the residential market for 24 Brisbane suburbs. These suburbs cover main residential areas of Brisbane and are based on an equal number of low, medium and high socioeconomic areas of Brisbane. This assessment of socio-economic status for the suburbs is based on both median household income and median house price. The analysis will cover both free standing residential property and residential units/townhouses/villas. The results will show how each of these residential property sub markets have performed following the GFC.

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We evaluate a number of real estate sentiment indices to ascertain current and forward-looking information content that may be useful for forecasting the demand and supply activities. Our focus lies on sector-specific surveys targeting the players from the supply-side of both residential and non-residential real estate markets. Analyzing the dynamic relationships within a Vector Auto-Regression (VAR) framework, we test the efficacy of these indices by comparing them with other coincident indicators in predicting real estate returns. Overall, our analysis suggests that sentiment indicators convey important information which should be embedded in the modeling exercise to predict real estate market returns. Generally, sentiment indices show better information content than broad economic indicators. The goodness of fit of our models is higher for the residential market than for the non-residential real estate sector. The impulse responses, in general, conform to our theoretical expectations. Variance decompositions and out-of-sample predictions generally show desired contribution and reasonable improvement respectively, thus upholding our hypothesis. Quite remarkably, consistent with the theory, the predictability swings when we look through different phases of the cycle. This perhaps suggests that, e.g. during recessions, market players’ expectations may be more accurate predictor of the future performances, conceivably indicating a ‘negative’ information processing bias and thus conforming to the precautionary motive of consumer behaviour.

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The popularity of an auction as a means of selling residential real estate has increased markedly in recent years. The effectiveness of an auction program is heavily promoted by most real estate agents, claiming it to be the best means of attracting the best price from the highest bidder, It is based on the theory of gathering all buyers together at a publicised time, and then offering the property for sale to the open market.

In theory, the person most willing to buy the property will have the highest bid, supposedly agreeing at market value with the vendor (although above the vendor's reserve I. Unfortunately, the practice of dummy bidding has recently resurfaced and highlights serious flaws in the auction system, with hundreds of residential auctions conducted across Australia every weekend.

Clearly, it is in the vendor's best interests land the auctioneer's best interests, who is paid even more by the vendor if the price is higherl to achieve the highest offer from the last bidder. The tactic of dummy bids is designed to deceive genuine purchasers into a false sense of perception, where there appears to be more competition for the property than there actually exists.

This paper examines the auction process with the emphasis placed on the practice of dummy biding, It considers the broad implications for the definition of market value and also the overall residential market. Useful advice is also included for real estate valuers relying upon auction sale properties in their market analysis. As well as strongly supporting the auction concept, the authors suggest improvements to the overall auction process to ensure relevance to the definition of market value is maintained.

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The residential market in Melbourne is often referred to as the ‘auction capital of the world’ with approximately 30-35% of housing transfers undertaken via the auction process, most of which are conducted on the weekend and then reported in the media the following day. The most quoted measurement of auction success is via the clearance rate which simply indicates the proportion of signed contracts of sale within the auction process. At the same time the clearance rate can have a relatively large variance where the residential market can traditionally range from very good (i.e. a high clearance rate) to very poor (i.e. a low clearance rate). The subsequent effect on the market can directly increase or decrease demand, predominantly based only on this single measure of the perceived level of auction clearance rates only.

This paper examines the concept of the auction clearance rates and the heavy reliance on the only one measure of success (i.e. the clearance rates), regardless of other variables. The emphasis is placed on the auction clearance rate as one measure of demand in the housing market but within the context of the definition of market value i.e. willing buyer-willing seller. This is supported by a discussion about other variables including the asking price, the auction process itself, marketing considerations and seasonal adjustments. The findings provide an insight into how to correctly interpret the auction clearance rate in the context of the overall supply-demand interactions. Whilst the auction process is clearly an integral part of the residential transfer process it is essential that the auction clearance rate is used with caution and also in conjunction with other variables.

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Because of the greenhouse gas emissions implications of the market dominating electric hot water systems, governments in Australia have implemented policies and programs to encourage the uptake of solar water heaters (SWHs) in the residential market as part of climate change adaptation and mitigation strategies. The cost-benefit analysis that usually accompanies all government policy and program design could be simplistically reduced to the ratio of expected greenhouse gas reductions of SWH to the cost of a SWH. The national Register of Solar Water Heaters specifies how many renewable energy certificates (RECs) are allocated to complying SWHs according to their expected performance, and hence greenhouse gas reductions, in different climates. Neither REC allocations nor rebates are tied to actual performance of systems. This paper examines the performance of instantaneous gas-boosted solar water heaters installed in new residences in a housing estate in south-east Queensland in the period 2007 – 2010. The evidence indicates systemic failures in installation practices, resulting in zero solar performance or dramatic underperformance (estimated average 43% solar contribution). The paper will detail the faults identified, and how these faults were eventually diagnosed and corrected. The impacts of these system failures on end-use consumers are discussed before concluding with a brief overview of areas where further research is required in order to more fully understand whole of supply chain implications.

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[ES] El sector de la construcción tiene, en España, una notable importancia, por su aportación al PIB (del entorno del 10%) y al empleo (en torno al 10%) y porque aglutina un amplio tejido empresarial. El deterioro de la situación económica y la saturación del mercado residencial han llevado a una fuerte contracción de la actividad constructiva, después una larga época de crecimiento.

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Este estudio trata sobre la evolución de la movilidad cotidiana en dos municipios que ilustran la diversidad de las periferias populares de Bogotá: Soacha está integrado al mercado residencial y laboral de Bogotá, mientras Madrid conserva cierta autonomía. Ambos han entrado hoy día en una fase de “maduración urbana”, que se traduce en una diversificación de su composición demográfica, en una consolidación de lo construido, en un cierto arraigo residencial de sus habitantes y en un mejoramiento de la oferta local de empleos y servicios, entre los que se encuentra el de educación. El análisis de los censos realizados por el Departamento Administrativo Nacional de Estadísticas (DANE) en 1993 y 2005 y de unas encuestas específicas sobre movilidad (1993, 2009) muestra una relativa homogeneización de la composición social de los municipios, la cual contrasta con el recrudecimiento de las desigualdades de movilidad cotidiana, particularmente en Soacha. Estas desigualdades nos solo reflejan las jerarquías sociales, s  o también los efectos del género y de la edad, pues se observan diferencias importantes entre individuos de un mismo hogar.

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This paper analyzes the dynamic interactions between real estate markets, in the US and the UK and their macroeconomic environments. We apply a new approach based on a dynamic coherence function (DCF) to study these interactions bringing together different real estate markets (the securitized market, the commercial market and the residential market). The results suggest that there is a common trend that drives the different real estate markets in the UK and the US, particularly in the long run, since they have a similar shape of the DCF. We also find that, in the US, wealth and housing expenditure channels are very conductive during real estate crises. However, in the UK, only the wealth effect is significant as a transmission channel during real estate market downturns. In addition, real estate markets in the UK and the US react differently to institutional shocks. This brings some insights on the conduct of monetary policy in order to avoid disturbances in real estate markets.

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This paper considers supply dynamics in the context of the Irish residential market. The analysis, in a multiple error-correction framework, reveals that although developers did respond to disequilibrium in supply, the rate of adjustment was relatively slow. In contrast, however, disequilibrium in demand did not impact upon supply, suggesting that inelastic supply conditions could explain the prolonged nature of the boom in the Irish market. Increased elasticity in the later stages of the boom may have been a contributory factor in the extent of the house price falls observed in recent years.

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Some activities that are applied in the property market to facilitate transactions have the potential to lead to unethical behaviour. Two conditions required for a sale price to be acceptable as market value are that the transaction is at arm’s length and the parties to the transaction are knowledgeable and prudent. The well-known difficulties associated with access to market pricing information are exacerbated by several of these activities including dummy bidding at auctions, two-tier marketing and the provision of lease incentives. Added to these is a common requirement that any negotiation be commercial-in-confidence. The lack of information has the potential to distort the market and this has been well publicised in recent times particularly in the residential market.
The definition of market value is visited and the nature of ethics in property transactions is outlined. Several examples of activities that could lead to unethical behaviour are described. It is concluded that unethical behaviour is hard to identify. Some recommendations are included for consideration and discussion.

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Este estudo tem como objetivo determinar os principais fatores macroeconômicos que influenciam a formação do preço de imóveis, tomando como base o mercado imobiliário residencial da cidade de São Paulo entre os anos de 2001 e 2012. Para capturar o efeito endógeno do PIB, da taxa de juros e da bolsa de valores sobre o preço de imóveis, optou-se por um modelo VAR. Concluiu-se que, dentre as variáveis, o PIB foi o fator mais preponderante na formação do preço, chegando a ter um impacto quase três vezes superior à taxa de juros. Não foram encontradas evidências estatísticas significativas do efeito da bolsa sobre o preço dos imóveis. Constatou-se ainda que choques no PIB e na taxa de juros demoram, no mínimo, um ano para começarem a refletir sobre o preço. Essas conclusões foram mais robustas no período anterior à crise imobiliária americana de 2008.

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O objetivo deste trabalho é ajudar o investidor que optou por investir seus recursos no mercado imobiliário a tomar sua decisão de investimento com base nas características endógenas facilmente identificáveis no prospecto dos Fundos de Investimento Imobiliários (FIIs). Foram selecionadas aquelas consideradas importantes pela literatura e foram construídos alguns modelos para testar sua influência na rentabilidade. Inicialmente, foi construído um modelo completo, com todas as variáveis, que apresentou resultados pouco relevantes, já que a maioria das variáveis não apresentou significância. Em seguida, um modelo reduzido foi montado com as variáveis que mais contribuíam para a rentabilidade, obtendo-se resultados relevantes. Através desse modelo, observou-se que FIIs que investem em desenvolvimento imobiliário, com foco no mercado residencial e com baixas taxas de administração, geraram maiores rentabilidades ao investidor.