Narrow Results

The price multiplier effect provides precious insight into the behavior of investors during episodes of speculative trading. It tells us that the higher the price of an asset (within a set of similar assets), the more its price is likely to increase during the upgoing phase of a speculative price peak. In short, instead of being risk averse, as is often assumed, investors rather seem to be "risk prone". While this effect is known to hold for several sorts of assets, it has not yet been possible to test it for stocks because the price of one share has no intrinsic significance, which means that one cannot say that stock A is more expensive than stock B on the basis of its price. In this paper we show that the price-dividend ratio gives a good basis for assessing the price of stocks in an intrinsic way. When this alternative measure is used instead, it turns out that the price multiplier effect also holds for stocks, at least if one concentrates on samples of companies which are sufficiently homogeneous.

In this paper, a real estate game model with nonlinear demand function is proposed. And an analysis of the game's local stability is carried out. It is shown that the stability of Nash equilibrium point is lost through period-doubling bifurcation as some parameters are varied. With numerical simulations method, the results of bifurcation diagrams, maximal Lyapunov exponents and strange attractors are presented. It is found that the chaotic behavior of the model has been stabilized on the Nash equilibrium point by using of nonlinear feedback control method.

Since the Global Financial Crisis, the notion of securitization has become familiar to urban scholars, though research has been limited to mortgage-backed securities. This paper attempts to delineate the distinctive urban outcomes of securitization techniques applied to real estate, taking Hong Kong REITs (H-REITs) as a case study. It examines the way through which liquid H-REIT capital anchors into the built environment, and how this process impacts the life of local communities. The study shows that the urban dynamics of REIT investment contrast with the corporate environment and asset management objectives of the initiator/sponsor groups of H-REIT structures, a set of characteristics that are captured by the notion of “management styles.” Amongst the three management styles identified in the paper, those developed by the Hong Kong family-based groups have not been sufficiently active to produce significant effects on the built environment. In contrast, the Link REIT has an aggressive value enhancement strategy that has reconfigured the social geographies of retail consumption across the whole territory, to the detriment of social housing estate residents. These results support the recognition that the financialization of the built environment tends to exacerbate social polarization and to trigger political conflicts, but they must be weighed against the contingent conditions in which real estate securitization take place.

Real estate activities and companies in China have grown considerably since the major reforms of the late 1970s. This paper examines the spatial deployment of firms linked to the Chinese real estate market in Chinese cities in 2010, 2013 and 2016. It provides a first mapping of multinational firms specialized in the real estate sector. It describes the patterns of ownership networks built by financial links both between foreign multinational firms and Chinese firms and among multinational firms themselves. It therefore provides a new understanding about the penetration of both foreign direct investment (FDI) and Hong Kong’s role in the Chinese real estate market. This paper provides a comparison of the spatial location logics of these firms according to their Chinese or foreign origin and offers a new perspective on the geography of real estate investment by analyzing financial links between the Chinese and foreign cities involved.

Estimating house prices is essential for homeowners and investors alike with both needing to understand the value of their asset, and to understand real estate assets as part of an overall portfolios. Commonly-used indices like the National Association of Realtors (NAR) median home price index, or the celebrated Case-Shiller Home Price Index are reported exclusively over a large geographic areas, i.e., a metropolitan, whereby home price dynamics are lost. In this paper, we propose a improved method to capture price dynamics over time at the most granular level possible — a single home. Using over 16 years of home sale data, from the year 2000 to 2016, we estimate home price index for each house. Once home price dynamics is captured, its possible to aggregate price dynamics to construct a price index over geographies of any kind, e.g., ZIP code. This particular index relies on a so-called ‘gradient boosted’ model, a methodology framework relying on multiple calibration parameters and heavily dependent on sampling techniques. We demonstrate that this approach offers several strengths compared to the commonly reported indices, the ‘median sale’ and ‘repeat sales’ indices.

The paper examines the determinants of profitability of real estate companies by using panel data of Vietnamese listed companies on the Hanoi stock exchange (HNX) and Ho Chi Minh City stock exchange (HOSE) from 2007 to 2020. Profitability ratios are measured by return on assets (ROA) and return on equity (ROE). The results indicate that the cost on revenue ratio, debt-to-equity ratio and the crisis and COVID-19 pandemic are negatively correlated with firm profitability. Meanwhile, the sales to current assets ratio, money supply growth rate and economic growth rate (GDPG) provide a positive correlation with profitability. We find that firm size and equity to total assets have positive effects on ROA, while there is a negative relationship between equity to total assets and ROE, and not enough evidence to conclude how firm size affects ROE. The study thereby provides suggestions and recommendations for the administrators of the government, real estate companies and investors in Vietnam.

Since the establishment of People's Republic of China in 1949, its real estate has closely followed reforms in economic, land and housing systems. There have been two critical junctures since the advent of the Reform and Opening-Up policy in 1978: the introduction of housing monetization in 1998 and the reinstatement of low-income housing in 2007. Those two junctures divide the development of China's real estate industry into three stages, namely the embryonic period of housing marketization (1978–1997), rapid development period (1998–2006) and integrated development period (2007–2016). Report delivered at the 19th National Congress of the Communist Party of China in 2017 affirms that “housing is for living in, not for speculation,” marking a new development stage for China's real estate industry. It is expected that innovations in land system, housing system and macro-control will promote the development of China's real estate in the future.

The massive real-estate price increases experienced in Israel over the last several years have elicited in policymakers the realization that they need to take action to reduce housing demand and prevent the Israeli housing market from collapsing. As a result, during May and October 2010, the Bank of Israel stepped in and increased the effective rate on mortgages and lowered the number of qualified applicants. In announcing the new regulations, the Bank of Israel’s main objective was to halt rising demand and to prevent further growth of the housing bubble. We use event study analysis to show that not only did the new regulations have no effect on housing prices but they in fact also markedly influenced the market value of the real-estate companies traded on the Tel-Aviv stock exchange.

The literature on indices herding behavior among bonds, equities, and real estate is very scant. When one compares developed and emerging markets, specifically the United States, the United Kingdom, Taiwan, and South Africa, such studies are hard to find. This study uses principal component analysis to extract and illustrate parameters driving herding investment behavior for the indices of the mentioned countries. Thereafter, the vector autoregressive model is used for robustness tests. The results reveal the following: First, governmental relationships and similarities among countries influenced herding behavior in the selected capital markets indices. Second, most of the herding occurs in the bond indices for the four countries. Finally, the robustness results reveal spillover opportunities in between and across countries irrespective of the index analyzed. The results are generalizable as they are consistent with prior studies such as Zaremba et al. (2021).

In order to predict the new real estate price, the factors affecting the real estate price were established by carrying out a survey of recently completed projects in the local environment. And a fuzzy neural network prediction model was developed. The model predicts the appropriate price for a new real estate by learning from historical data on the correlations between various factors that influence the prices of real estates and the actual selling prices. The experimental result shows that the fuzzy neural network prediction model has strong function approximation ability and is suitable for real estate price prediction depending on the quality of the available data.

Real estate represents a significant form of investment throughout the world that is sometimes overshadowed by the stock and bond markets. Investments in real estate once focused on direct investments in land and developed properties, and this chapter covers important aspects that vary across national borders that should be considered when making investment decisions. Investors interested in real estate now have more choices than in the past. The globalization of financial markets now makes it possible for investors to include real estate in their portfolios by trading in financial securities such as Real Estate Investment Trusts (REITs). This chapter examines the unique characteristics of these securitized real estate investments and focuses on their performance in the global financial markets.