Fractional Cointegration Analysis of Securitized Real Estate

This paper uses fractional cointegration analysis to examine whether long-run relations exist between securitized real estate returns and three sets of variables frequently used in the literature as the factors driving securitized real estate returns. That is, we examine whether such relationships are characterized by long memory (long-range dependence), short memory (short-range dependence), mean reversion (no long-run effects) or no mean reversion (no long-run equilibrium). The forecasting implications are also considered. Empirical analyses are conducted using data for the U.S., the U.K., and Australia. We find strong evidence of fractional cointegration between securitized real estate and the three sets of variables. Such relationships are mainly characterized by short memory although long memory is sometimes present. The use of fractional cointegration for forecasting purposes proves particularly useful since the start of the financial crisis.     

Net Asset Value Discounts for Asian-Pacific Real Estate Companies: Long-Run Relationships and Short-Term Dynamics

This study investigates the time series behavior of real estate company net asset value discount/premium (NAVDISC) in eight Asian-Pacific securitized real estate markets from 1995 to 2003. We postulate that if there is a stable NAVDISC for real estate companies in the long-run, then there should be a long-run cointegrating relation between their stock prices (Ps) and net asset values (NAVs). Employing panel data cointegration econometrics that comprises three approaches; panel unit root test, heterogeneous panel cointegration test and dynamic panel error-correction modeling (ECM), we find that long run NAVDISCs persist in individual Asian-Pacific securitized real estate markets and the regional market. All the NAVDISCs exhibit mean reversion and that the respective disequilibrium errors fluctuate around the mean values. Moreover, NAV is an important factor that statistically explains the price variations in real estate stock prices regardless of their speed of mean-reversion in the NAV discount /premium.     

Dynamic Interactions Between Private and Public Real Estate Markets: Some International Evidence

This study evaluates long-run relationships and short-run linkages between the private (unsecuritized) and the public (securitized) real estate markets of Australia, Netherlands, United Kingdom and the United States. Results indicate the existence of long-run relationships between the public and private real estate markets of each of the countries under consideration. This implies that for all countries, investors would not have realized long-term portfolio diversification benefits from allocating funds in both the private and public real estate markets since these assets are substitutable over the long run. Short-run analyses also reveal significant causal relationships between private and public markets of all countries under consideration. As expected, it was found that price discovery occurred in the public real estate market in that it leads but is not led by its private real estate market counterpart.     

Dynamics of Private and Public Real Estate Markets

Using five assets (T-bills, bonds, stocks, and both public and private real estate), this study investigates how cointegration of capital markets affects the dynamics of public and private real estate markets. The results show that the price indices of the five assets are nonstationary and cointegrated. Some implications for the long-term equilibrium relationship for portfolio diversification, price discovery and prediction are discussed. In a Granger causality framework, error-correction augmented VAR models (VECM) and unrestricted VAR models are compared with respect to the conclusion regarding the interaction between public and private real estate returns. VECM is also shown to improve the prediction of private real estate returns relative to an unrestricted VAR model. These results raise questions about previous research studies regarding the dynamics between public and private real estate returns. It is shown that the long-term equilibrium relationship establishes a feedback between the two real estate markets, but the private market seems to informationally lead the public one. Possible explanations are also explored.     

Are REITs real estate? Evidence from international sector level data

The aim of this study is to examine whether securitized real estate returns reflect direct real estate returns or general stock market returns using international data for the U.S., U.K., and Australia. In contrast to previous research, which has generally relied on overall real estate market indices and neglected the potential long-term dynamics, our econometric evaluation is based on sector level data and caters for both the short-term and long-term dynamics of the assets as well as for the lack of leverage in the direct real estate indices. In addition to the real estate and stock market indices, the analysis includes a number of fundamental variables that are expected to influence real estate and stock returns significantly. We estimate vector error-correction models and investigate the forecast error variance decompositions and impulse responses of the assets. Both the variance decompositions and impulse responses suggest that the long-run REIT market performance is much more closely related to the direct real estate market than to the general stock market. Consequently, REITs and direct real estate should be relatively good substitutes in a long-horizon investment portfolio. The results are of relevance regarding the relationship between public and private markets in general, as the ‘duality’ of the real estate markets offers an opportunity to test whether and how closely securitized asset returns reflect the performance of underlying private assets. The study also includes implications concerning the recent financial crisis.     

News Effects and Structural Shifts in Price Discovery in Hong Kong

This paper examines two questions about the temporal stability of the price discovery relationship using data from Hong Kong. We first study the extent to which abnormally large returns (positive or negative) to securitized real estate are transferred to the returns in the direct real estate market. Our regressions show that price discovery is much reduced in the period following a news event. They show that the estimate of the long run price discovery effect also is reduced once we control for news effects. The second question we examine is whether the price discovery relationship is stable over time. The evidence appears to indicate that the post-1994 period was different from the preceding period. The change in the strength of the price discovery effect may be linked to a change in banking regulations in February 1994 that limited banks' risk exposure to real estate loans by capping them at 40 percent of total lending or to anti-speculative measures introduced by the government in the second quarter of 1994 to curb speculation in the residential market. Our statistical tests of structural stability give mixed results and are therefore inconclusive. These findings suggest that the size of the price discovery effect depends upon the amount of real estate information embedded in the history of securitized returns. The findings further suggest that the securitized return series itself may be an incomplete measure of the quantum of information.     

Volatility Decomposition and Correlation in International Securitized Real Estate Markets

This study contributes to the literature in international securitized real estate market volatility in three ways. Each market’s conditional volatility is decomposed into a “permanent” or long-run component and a “transitory” or short-run component via a component-GARCH model. Even though with the same number of common factors derived from the “permanent” and “transitory” volatility series, their loadings are not similar and consequently the long-run and short-run volatility linkages for some markets are different. Finally there are significant volatility co-movements between real estate and stock markets’ “permanent” and “transitory” components suggesting that real estate markets are at least not segmented from stock markets in international investing.     

The investigation of the dynamic linkages between real estate market and stock market in Greece

ABSTRACT

We use quarterly data from Greece over the period 1997:1–2015:2 and investigate the dynamic linkages between the price of the real estate market and the price of the stock market focusing on two transmission mechanisms, namely the wealth and credit-price effects. The empirical analysis employs advanced methodological techniques and presents evidence supporting the existence of both the wealth effect and the credit effect in the long-run while in the short-run there is a one-way causal effect running from stock market towards house market. Results reveal asymmetric adjustment to equilibrium process and considerably stronger for positive deviations from the equilibrium.     

人民币汇率与我国股价、房价的联动关系研究

近年来,我国人民币汇率形成机制、股票市场和房地产市场发生了巨大变化,人民币汇率和股价、房价之间的信息传导和波动关联备受瞩目。本文采用VAR-MGARCH-BEKK模型,分析了我国人民币汇率、股价和房价之间的联动关系。研究结果表明,从波动的溢出效应来看,人民币汇率的波动率、股票价格的增长率和房地产价格的增长率之间存在非常明显的波动溢出效应;从资产价格的水平影响来看,人民币汇率与股票价格、房地产价格等国内资产价格的水平相关性较弱,而股票价格对房地产价格的影响较明显,并就该结论提出了相关的理论解释和政策建议。     

Long-term Memory in Volatility: Some Evidence from International Securitized Real Estate Markets

While the long memory property is examined in the literature for the US REIT returns, this paper extends the analysis to international securitized real estate markets with the hope of finding answers or confirming prior stock market evidence regarding the presence (or absence) of long memory volatilities for 40 weekly real estate indices (original and hedged). Using a battery of five econometric tests on three alternative risk measures; weekly observed absolute and squared mean deviations and conditional variances, we find statistically significant evidence of long memory in the volatility structure of most securitized real estate markets studied. Volatility persistence is particularly strong in Asia, but is not consistent throughout the period of study.     

Price Discovery in Real Estate Markets: A Dynamic Analysis

Although the correlation between the public and private market pricing of real estate has generated considerable research effort, the methods utilized in previous studies have failed to capture the dynamic nature of this correlation. This paper proposes a new statistical method to address this issue. This method, known as the dynamic conditional correlation GARCH model, enables us to study the dynamics of the correlation between the two markets over time and enrich our understanding of the public and private market pricing of real assets. We find that the correlation between NAV returns and REIT returns is dynamic for all REIT types and there is a strong degree of persistence in the series of correlation. Our Granger-causality tests show that price discovery generally takes place in the securitized public market. However, we also find significant variations across property types and individual firms within each type. Our results indicate that constructing an optimal portfolio requires firm level analysis of causality and correlation between REIT returns and NAV returns.     

The Asymmetric Wealth Effect in the US Housing and Stock Markets: Evidence from the Threshold Cointegration Model

Previous studies commonly use a linear framework to investigate the long-run equilibrium relationship between the housing and stock markets. The linear approaches may not be appropriate if adjustments from disequilibrium are asymmetric in both markets. Nonlinear adjustments are likely to be observed since the two markets respond rather differently to negative shocks where the stock market is more volatile but price rigidity is found in the housing market. In this paper, we firstly propose two hypotheses on the long-run equilibrium relationship of the US housing and stock markets, and then employ the threshold cointegration model to investigate the potential asymmetric relationships between the two markets. Our empirical results reveal that cointegration exists among the markets, but adjustments toward its long-run equilibrium are asymmetric. Further evidence points out that a rapid mean reversion occurs in one regime where the stock price outperforms the housing price, and no significant reversion is found in the other regime, supporting the hypothesis of the existence of an asymmetric wealth effect among the two markets in the US. Furthermore, evidence from the asymmetric vector error correction model shows that significant error corrections toward the equilibrium exist in the short run only when the stock price exceeds the real estate price by the estimated threshold level, reassuring the finding of the asymmetric wealth effect.     

金融周期对房地产价格的影响——基于SV-TVP-VAR模型的实证研究

本文利用2004-2016年的季度数据构建金融周期综合指数,用以描述金融市场景气程度;使用SV-TVP-VAR模型,围绕金融周期对我国房地产价格的影响进行实证研究。结果表明,金融周期对房地产价格的影响具有明显的时变性特征:2008年以前金融市场繁荣对房价有稳定推升作用,2008年后该影响持续弱化;与之类似,实体经济对房价的影响同样自2008年起逐渐减小。这意味着,在经济增长方式转变和经济结构调整的过程中,我国房地产价格对经济金融冲击的敏感度已经大幅下降,金融扩张可能难以再通过房地产市场有效带动实体经济的繁荣,相反,其反而可能导致银行贷款不良率的攀升,在金融系统内积累系统性风险。我国针对房地产的宏观调控政策不仅对控制贷款不良率的提高体现出积极作用,而且自2008年国际金融危机以来,产出及房价的随机波动率均呈显著下降趋势,风险得到有效控制。未来应更加重视房地产市场调控在宏观审慎政策框架中的重要地位,遏制房地产金融化泡沫化势头,防范房地产市场引发金融危机。     

Common factors in international securitized real estate markets

This study investigates the presence of common factors in the securitized real estate markets of the Untied States (US), United Kingdom (UK), Hong Kong (HK), and Singapore (SG). Using a combination of factor analysis and canonical correlation analysis on 10-year monthly return data for 142 real estate securities in the four markets, more common risk factors among real estate securities within a country than across countries are detected. In addition, there is at least one common securitized real estate market factor that is moderately correlated with the world real estate market, and to a lesser extent, with the world stock market. However, the degree of linkage across the four securitized real estate markets is much weaker than the strong linkages present across the four economies. It further appears that the extent to which correlations are found in international securitized real estate markets might largely be due to the increasing integrated nature of the world real economy, rather than a result of the globalization of financial markets. The results are preliminary, but indicative, and suggest that more studies exploring how common factors, together with the local market portfolio, could help explain the return-generating process of securitized real estate.     

The nature of listed real estate companies: property or equity market?

This paper addresses the question of whether shares of public real estate companies should be treated as real estate or as equity investments. Because theoretical considerations do not suffice for making such a classification, we empirically investigate correlation structures and cointegration relationships of private and public real estate and equity markets for the United States and the United Kingdom. Our results suggest that public real estate stocks show similarities to the general stock market with regard to short-term return co-movements. For long-term investment horizons, the interdependence between direct and securitized real estate is much stronger. However, in the latter case, real estate stocks substantially lead the private property markets.

On the Hybrid Nature of REITs

The consensus that emerges from the current research on the linkage between securitized and direct investment in real estate is that direct (private) real estate returns play a relatively minor role in the real estate investment trust (REIT) return generating process. However, this result may at least partially be due to the coarseness of the measures of direct real estate returns or the relatively short return horizons used in previous studies. This study takes a different and unique perspective. Unlike earlier studies we do not use aggregated, average appraisal based returns on direct real estate investment. Instead, we use the MIT TBI indexes, which are transaction based price indexes, available both on the aggregate and sub-index levels. We find that the relation between REIT and direct real estate returns appears to be stronger at longer horizons. More specifically, using a cointegration framework, we find robust evidence that REITs and the underlying real estate are related and that they share a long run equilibrium. Interestingly, we find that both REITs and direct real estate returns adjust towards this long run relationship. When we examine property type level data we find similar results.     

房价预期与城镇居民家庭股市参与——理论探讨与微观经验证据

本文基于中国家庭金融调查数据,通过构建理论模型和实证检验分析了房价预期与家庭股市参与的关系,考察了行为金融偏差在房价预期影响股市参与过程中的作用,并根据背景风险、社会网络和户主特征进行异质性分析。结果表明:(1)房价上涨预期通过降低居民家庭的股票收益率预期和增加住房资产,进而降低居民家庭的股市参与概率和参与程度;(2)“心理账户”以及“有限关注”的存在显著弱化了房价上涨预期对家庭股市参与的负向作用;(3)房价上涨预期对股市参与概率和参与程度的负向作用在收入风险更高、健康状况更差、社会网络水平较低以及受教育程度偏低的家庭中更大。因此,稳定房价预期能够通过提升家庭股市参与,进而从需求角度促进股票市场的健康发展。     

Cointegration and causality between macroeconomic variables and stock market returns

The purpose of this study is to investigate whether current economic activities in Korea can explain stock market returns by using a cointegration test and a Granger causality test from a vector error correction model. This study finds that the Korean stock market reflects macroeconomic variables on stock price indices. The cointegration test and the vector error correction model illustrate that stock price indices are cointegrated with a set of macroeconomic variables—that is, the production index, exchange rate, trade balance, and money supply—which provides a direct long-run equilibrium relation with each stock price index. However, the stock price indices are not a leading indicator for economic variables, which is inconsistent with the previous findings that the stock market rationally signals changes in real activities.     

Regime switches between dividend and bond yields

The relation between bond and equity returns serves as a proxy for estimating the premia investors' demand on their equity portfolio holdings and assessing the substitution effects between the two markets. With this in mind, we examine empirically the co-movements and the underlying information between equities and bonds. Our approach relies on the comparison between bond and dividend yields — a relation better known as the gilt-equity yield ratio–GEYR — by examining the characteristics of the cointegration relation between the bond and equity yields. In this context, this paper's contribution is that it lifts the restrictions of linearity both in the long-run cointegration relations and in the underlying short-run relations presented in the VECM. Specifically, we apply the regime-switching framework of Gregory and Hansen (Gregory, A. W. & Hansen, B. E. (1996). Residual-based tests for cointegration in models with regime shifts. Journal of Econometrics 70, 99–126) for the long-run equilibriums and the Markov Switching VECM, established by Krolzig (Krolzig, H.M., 1997. Markov switching vector autoregressions. Modelling statistical inference and application to business cycle analysis. Springer, Verlag) for the short run ones. Our aim is to examine the allocation of capital among the UK bond (or else, gilt) and stock markets for the period of 01-1987 to 01-2007, in a fashion that better reflects the structural breaks and regime shifts of the underlying market conditions. Our findings confirm the substitution effects among stocks and bonds in the long run and highlight the importance of market conditions for the allocation of capital among stocks and bonds.     

我国股票和房地产市场的财富效应研究——基于状态空间模型的实证分析

运用状态空间模型和脉冲响应函数考量我国股票和房地产市场的财富效应进行了时变特征研究,结果表明,目前我国股票市场长期内具有稳定的微弱负向财富效应,而房地产市场长期内存在稳定的正向财富效应,房地产市场的财富效应要大于股票市场。同时,2011年末的欧债危机,对于这两种市场财富效应的影响十分微弱。鉴此,应逐步增加居民股票收益,保持房地产市场价格的平稳运行,努力提高居民收入水平。