Liquidity and asset pricing: Evidence from the Chinese stock markets

We introduce a novel two-factor model, incorporating market and liquidity factors, which outperforms the CAPM and Fama–French factor models when applied to stock market returns in Shanghai and Shenzhen over 2000–2019. We compute the liquidity factor as the return on a liquidity-mimicking portfolio, which we construct simultaneously using two measures of liquidity (one of them capturing liquidity’s trading-quantity dimension, and the other associated with its price-impact dimension). Unlike the CAPM and Fama–French factor models, the advocated two-factor model is able to account for numerous return anomalies, such as size, book-to-market ratio, earnings-to-price ratio, cash-flow-to-price ratio, return-on-equity, and volatility. The model’s performance is similar when applied separately to the Shanghai and Shenzhen stock markets. Furthermore, it fares similarly over the 1994–2004 and 2005–2019 sub-periods. This result is somewhat surprising, because liquidity seems likely to have been substantially lower over 1994–2004, as the Chinese markets were noticeably smaller, and the critical market reform aimed at eliminating non-tradable shares by the end of 2006 did not occur until 2005.     

Seasonality in asset returns: Evidence from the gold market

In this paper we test monthly mean daily returns to gold over the period January 1975 to December 1984 against three definitions of seasonality. Weak evidence exists for seasonality under the second of the three definitions. However, this is not prima facie evidence of market inefficiency, as the pattern is consistent with seasonality in Eurodollar interest rates reported by other authors. Differences in the time pattern of returns between on- and off-shore rates raises further questions.     

Evolution of intangible asset accounting: Evidence from Australia

This study investigates how the adoption of IFRS in Australia has changed the accounting for goodwill and identifiable intangible assets (IIA). Based on unique hand‐collected data for 802 Australian firm‐years during 2000–2010, we find that expenses related to IIA are higher under IFRS, which is consistent with the view that IFRS accounting policies for IIA are stricter than those under Australian domestic accounting standards pre‐2005 (AGAAP). Our results show two effects that accompany higher IIA expenses under IFRS, which reduce a negative impact on earnings: (i) lower goodwill expenses, and (ii) a shift in recognition of IIA from those with finite useful life to IIA with indefinite useful life. Finally, our market value analyses suggest that the market does not treat mechanical goodwill amortization as a genuine expense, but does treat as genuine expenses discretionary impairment charges, and more lenient IIA amortization under AGAAP. Our results are in line with prior Australian studies claiming that imposing stricter accounting rules for intangible assets under IFRS tends to diminish the quality of investors' information set.     

Alternative housing concepts and the benefits of public housing programs

Almost all previous studies analyzing the benefits and consumption effects of public housing programs have used aggregation theorems to construct composite goods “housing” and “all other goods.” In this paper we show that, if it is more realistically assumed that households have preferences defined on housing characteristics, benefits estimated using the composite approach are upward biased. Some empirical work suggests that the bias is large. We therefore strongly advise to take into account the composition of the bundle of housing attributes provided under a public housing program when evaluating the program's economic effects.     

Regional foreclosures and Mexican remittances: Evidence from the housing market crisis

This study investigates the extent to which Mexican workers’ remittances are affected from the recent housing market decline in the United States. Results from a multivariate model reveal that an increase in the national U.S. foreclosure rate has a negative and statistically significant impact on Mexican remittances. At the regional level, foreclosure rates of the South and the West have a significant impact on workers’ remittances in the same negative direction. However, foreclosure rates from the North Central and East Central regions do not appear to have this statistically significant impact. Lastly, in contrast to previous results in the literature, real exchange rate movements and Mexican remittances seem to be insensitive to one another once the housing market is accounted for in the analysis.     

Revealed preference for relative status: Evidence from the housing market

This paper investigates the value individuals place on their relative housing consumption as compared to absolute housing consumption. Using observed housing sales from three Ohio MSAs in 2000, a spatial Durbin hedonic price model provides total marginal willingness-to-pay estimates for both characteristics of housing units and those of its neighbors. Using this revealed-preference approach, we find evidence suggesting individuals do value relative house size, but the absolute effect dominates. For instance, the estimates indicate that if all homes in Columbus were to increase in size by 100 square feet, the net effect of impacts on absolute and relative consumption would be to increase house prices by $605 on average. This stands in contrast to the stated preference literature, which frequently find individuals to be willing to forgo absolute well-being in exchange for relative status gains.     

A re-examination of housing bubbles: Evidence from European countries

This study uses data from six Eurozone countries and the United Kingdom between 1980Q1 and 2018Q4 to examine whether these countries had housing bubbles during the observed period. Whereas typical studies make strictly limited assumptions regarding interest rates, we make an unconventional argument for the necessity of testing the integration relationship between the price–rent ratio and the interest rate reciprocal to determine the existence of housing bubbles. To verify this study’s proposition, two housing bubble indicators were adopted to dynamically examine periods of housing bubbles in European countries by using a series of individual countries and panel data from Eurozone countries. According to the empirical results for individual countries, although the price–rent ratio indicates the occurrence of housing booms in the targeted countries, the evidence for housing bubbles is unclear. The dynamic bubble indicator revealed that housing bubbles occurred in France and Ireland within a short period in 1993Q3 and 2000Q2, respectively. Spain experienced two short-term housing bubbles in 1990Q1 and 2015Q1. The short-term bubbles signify that the housing markets were efficient. Once the price–rent ratio failed to converge toward the nominal interest rate, market traders’ rational behavior can immediately correct the short-term market divergence. The panel data of the Eurozone countries also reveals that simply using the price–rent ratio for examination may underestimate the correction of the housing markets. In conclusion, the results of this study demonstrate the importance of the interest rate in controlling the housing market.     

Risk aversion in the supply chain: Evidence from replenishment decisions

This study investigates the impact of individual risk aversion on replenishment decisions in a multi-echelon supply chain, and explores whether this impact is affected by experiential learning. The methodology applied is that of observational studies, while the multi-echelon supply chain is modeled through the classical Beer Game. Participants in the study are purchasing and supply chain professionals. Results suggest that risk aversion leads to higher orders, Risk aversion persists even after experience of the game has been gained.     

The day-of-the-week effect is weak: Evidence from the European real estate sector

The day-of-the-week effect for the securitized real estate indices is investigated by employing daily data at the global, European and country level for the period 1990 to 2010. We test for daily seasonality in 12 countries using both full sample and rolling-regression techniques. While the evidence for the former is in line with the literature, the results for the latter cast severe doubts concerning the existence of any persistent day-of-the-week effects. Once we allow our sample to vary over time, the average proportion of significant coefficients per day ranges between 15 % and 24 %. We show that higher average Friday returns evident in previous literature, remain significant in 21 % of the rolling samples. We conclude that daily seasonality in the European Real Estate sector is subject to the data mining and sample selection bias criticism.     

Monetary policy on twitter and asset prices: Evidence from computational text analysis

In this paper, we dissect the Twitter debate about the future course of monetary policy and trace the effects of selected topics of this discourse on U.S. asset prices. We focus on the “taper tantrum” episode in 2013, a period with large revisions in expectations about future Fed policy. Based on a novel data set of 90,000 Twitter messages (“tweets”) covering the debate of Fed tapering on Twitter, we use Latent Dirichlet Allocation, a computational text analysis tool, to quantify the content of the discussion. Several estimated topic frequencies are then included in a VAR model to estimate the effects of topic shocks on asset prices. We find that the discussion about Fed policy on social media contains price-relevant information. Shocks to the discussion about the timing of the tapering, about the broader economic policy context and worrying investors are shown to lead to significant asset price changes. We also show that the effects are mostly due to changes in the term premium of yields consistent with the portfolio balance channel of unconventional monetary policy.     

The saving,human wealth and asset pricing nexus: Evidence from around the world

The present study examines the dynamics of the saving, human wealth and asset pricing nexus across developed and emerging economies. We introduce two equilibrium asset pricing models in an intertemporal capital asset pricing framework, including the priced factors human wealth and market portfolio in the first framework and the saving and market portfolio in the second framework. Both asset pricing frameworks consist of two-factor, four-factor and five-factor asset pricing models. We control for size and value factors in the four-factor model and size, value and momentum factors in the five-factor model. The IV-GMM estimation and GRS test results indicate that human wealth and market portfolio for the first framework and saving and market portfolio in the second framework are primary priced factors in explaining the average returns for developed economies and the aggregate level. On the contrary, both frameworks fail to yield significant results explaining the average returns for emerging economies.     

The demand for rental housing: Evidence from the Housing Allowance Demand Experiment

This paper provides new evidence on the price and income elasticities of demand for rental housing by low income households. Housing expenditures of households participating in the Housing Allowance Demand Experiment and receiving housing allowances in the form of a proportional rent rebate are analyzed. These rent rebates experimentally vary the effective relative price of housing and thus enable estimation of the price elasticities. Natural income variation enables estimation of income elasticities. Analysis is carried out using two functional forms and a variety of models of housing dynamics. The estimated income and price elasticities of demand are 0.36 and −0.22, respectively. When the sample is restricted to include only households headed by couples, the elasticity estimates are 0.47 for income and −0.36 for price. These estimates are lower (in absolute value) than have been previously estimated and it is suggested that this may be due to the low-income nature of the sample.     

Role of credit and monetary policy in determining asset prices: Evidence from emerging market economies

We examine the relative dominance of credit and monetary policy shocks in influencing asset prices in emerging markets. Estimates from panel VAR models for 22 EMEs provide evidence of a significant impact of bank credit on house prices in contrast to trivial impact on stock prices, possibly due to prudential regulations on banks’ exposure to stock markets. Contractionary monetary policy triggers sizeable and persistent decline in stock than housing prices as higher interest rates may render the funding of leverage costlier. Global shocks play an important role in explaining fluctuations in domestic stock prices rather than house prices since the latter class of asset is largely non-tradable across countries.     

Subtle discrimination in the rental housing market: Evidence from e-mail correspondence with landlords

We find that landlords practice subtle discrimination in the rental housing market through the use of language associated with describing and viewing a unit, inviting further correspondence, making a formal greeting, and using polite language when replying to e-mail inquiries from a white name more often than to an African American name, they also send longer e-mails and respond quicker to white names.     

保障房建设在房地产及经济发展中的作用

在我国房地产供应市场化的过程中,市场主体的不断增强导致了房地产资源的分配出现了严重不均的状态,于是,国家对房地产业进行了数次调控。当前的保障房建设规模的迅速扩大是国家对房地产业宏观调控取得的重要成果之一。在保障房建设过程中,一方面应实现保障房建设自身的有序发展,另一方面亦应关注商品房建设的健康发展,最终使房地产资源的配置得到优化和国家整体经济的健康平稳发展。     

The utilization of diagnostic tests among the elderly: Evidence from Malaysia

Diagnostic test plays a major role in reducing the prevalence of non-communicable diseases (NCDs). The present study examines the relationships between the utilization of diagnostic tests and socioeconomic, insurance, lifestyle, and health factors among the elderly in Malaysia. Analyses based on the National Health and Morbidity Survey 2011 (NHMS 2011) suggest that high income and having private insurance are associated with a higher likelihood of utilizing diagnostic tests. However, low education levels, being employed and smoking are associated with a lower propensity to utilize. These results provide public health administrators with useful information on policy development. In particular, the proposed policies include providing the poor with nominal price of basic diagnostic tests, introducing various health education programmes to the public, creating health awareness campaigns to encourage elders who do not own private insurance to utilize diagnostic tests, as well as making basic diagnostic tests compulsory for all elders owning government insurance.     

Social Security and elderly labor supply: Evidence from the Health and Retirement Study

This study uses panel data from the Health and Retirement Study (HRS) to estimate the effects of Social Security income on elderly labor supply in the 1990s and early 2000s. The identification strategy takes advantage of the 1977 amendments to the Social Security Act, which led to a large, unanticipated reduction in Social Security benefits for those born after January 1, 1917. Despite the advanced age of the notch cohorts, there is a significant, negative and surprisingly elastic relationship between Social Security income and hours of work. This suggests that currently proposed reductions in benefits would induce Social Security recipients to work more hours in retirement, even through their 70s and early 80s.     

Information spillover across international real estate investment trusts: Evidence from an entropy-based network analysis

In this study, we unveil information spillover between international real estate markets using an entropy-based network approach for real estate investment trusts (REIT). Our novel approach is simple and yet flexible enough to accommodate the nature and extent of information spillover among several components of the global housing network. For a network of nine leading industrial economies, we unveil static and time-varying information spillover of REIT returns using total transfer entropy, pairwise net transfer entropy and directional (“From”, “To”) transfer entropy. Evidence suggests that the greatest pairwise transfer entropy is from the US to Australia, whereas France, the Netherlands, New Zealand and Singapore are the largest information recipients in the network. The time-varying evolution of total transfer entropy also exhibits a declining trend for the integration of global housing market during our sample period.