Nonlinear adjustment of short-term deviations impacts on the US real estate market

2010 ◽  
Vol 17 (6) ◽  
pp. 597-603 ◽  
Author(s):  
Yen-Hsien Lee ◽  
Chien-Liang Chiu
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nick Mansley ◽  
Zilong Wang

PurposeLong lease real estate funds (over £15bn in Q3 2020) have emerged as an increasingly important part of UK pension fund real estate portfolios. This paper explores the reasons for their dramatic growth, their characteristics and performance.Design/methodology/approachThis study uses data for the period 2004–2020 collected directly from fund managers and from AREF/MSCI and empirical analysis to explore their characteristics and performance.FindingsPension fund de-risking and regulatory guidance have supported the dramatic growth of long lease real estate funds. Long lease real estate funds have delivered strong risk-adjusted returns relative to both balanced property funds (with shorter lease terms) and the wider property market. This relative performance has been particularly strong when wider property market performance has been weak. Long lease funds have objectives aligned with liability matching and their performance suggests they are lower risk (more bond-like) investments. In addition, our analysis highlights they are far less responsive to the wider property market than balanced funds. However, they are not significantly different from balanced property funds in terms of their short-term relationship with gilt yield movements.Practical implicationsFor pension funds and other investors the paper highlights that long lease real estate funds offer a different exposure than balanced property funds. Long lease funds have objectives more closely aligned to the overall objectives for pension fund investment but are not significantly more reliable than balanced property funds in the short-term as a liability hedge. For real estate fund managers, occupiers, developers and others active in the real estate market, the paper highlights why these funds have been (and are likely to remain) attractive to investors leading to substantial demand for long lease real estate investments.Originality/valueThis is the first study to review this increasingly important part of the UK real estate fund universe.


2018 ◽  
Vol 11 (2) ◽  
pp. 244-168 ◽  
Author(s):  
KimHiang Liow ◽  
Qing Ye

Purpose This paper aims to investigate volatility causality and return contagion on nine international securitized real estate markets by appealing to Markov-switching (MS) regime approach, from July 1992 to June 2014. Design/methodology/approach An MS causality interaction model (Psaradakis et al., 2005), an MS vector auto-regression mode (Krolzig, 1997) and a multivariate return contagion model (Dungey et al., 2005) were used to implement the empirical investigations. Findings There exist regime shifts in the volatility causality pattern, with the volatility causality effects more pronounced during high volatility periods. During high volatility period, real estate markets’ causality interactions and inter-linkages contribute to strong spillover effect that leads to extreme volatility. However, there is relatively limited return contagion evidence in the securitized real estate markets examined. As such, the US financial crisis might probably be due to cross-market interdependence rather than contagion. Research limitations/implications Because international investors incorporate into their portfolio allocation not only the long-run price relationship but also the short-run market volatility connectedness and return correlation structure, the results of this MS causality and contagion study have provided valuable information on the evaluation of regime-dependent securitized real estate market risk, as well as useful guidance on asset allocation and portfolio management decisions for institutional investors. Practical implications Financial crisis is one of the key determinants of cross-market volatility interactions. Portfolio managers should be alerted of the observation that the US and the other developed securitized real estate markets are increasingly sharing “common market cycles” in recent years, thereby diminishing the diversification benefits. For policymakers, this research indicates that the volatilities of the US securitized real estate market could be helpful to predict those of other developed markets. It is also important for them to pay attention to those potential risk factors behind the amplified causality, contagion and volatility spillover at times of crisis. Finally, a wider implication for policymakers is to manage the transmission channels through which global stock market return and volatility shocks can affect the local economies and domestic financial markets, including securitized real estate markets. Originality/value Real estate investments have emerged to show low correlation with stocks and bonds and contributed to portfolio optimization. With real estate that can serve as a type of consumption commodity and an investment tool, the risk-return profile of real estate is different from that of the underlying stock markets. Therefore, the performance and investment dynamics and real estate-stock link are not theoretically expected to be similar, that requires separate empirical investigations. This paper aims to stand out from the many papers on the same or similar topics in the application of the three MS methodologies to regime-dependent real estate market integration.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Achille Dargaud Fofack ◽  
Serge Djoudji Temkeng ◽  
Clement Oppong

PurposeThis paper aims at analyzing the asymmetries created by the Great Recession in the US real estate sector.Design/methodology/approachThis paper uses a Markov-switching dynamic regression model in which parameters change when the housing market moves from one regime to the other.FindingsThe results show that the effect of real estate loans, interest rate, quantitative easing and working age population are asymmetric across bull and bear regimes. It is also found that the estimated parameters are larger in bull regime than bear regime, indicating a tendency to create house price bubbles in bull market.Practical implicationsSince three of those asymmetric variables (real estate loans, interest rate and quantitative easing) are related to monetary policy, the Fed can mitigate their impact on an interest-sensitive sector such as housing by engaging in a countercyclical monetary policy.Originality/valueThe estimated intercept and the variance parameter both vary from one regime to the other, thus justifying the use of a regime-dependent model.


Significance This partly reflects the February 16 decision of DP World to delist its shares, which dominated the Nasdaq Dubai, but also comes amid other troubling recent economic developments for the United Arab Emirates (UAE), including the continued decline in the Dubai and Abu Dhabi real estate markets and the mounting impact of COVID-19 coronavirus. Impacts If successful, Expo Dubai could provide a short-term boost for the suffering real estate market and hospitality sectors. The natural gas find still needs realistic appraisal but might help the UAE move away from being a net gas importer. DP World’s removal from the Nasdaq Dubai will reinforce arguments for the creation of a unified UAE equities market.


2016 ◽  
Vol 21 (3) ◽  
pp. 212-230 ◽  
Author(s):  
Benjamin Gbolahan Ekemode ◽  
Abel Olaleye

Purpose This paper aimed to examine the return/risk performance of direct and indirect real estate (listed property stock) in the Nigerian real estate market and analyzed the short-term integration between the two classes of real estate assets. It also established whether investors could achieve diversification benefits by combining both assets in a portfolio. Design/methodology/approach The data utilized comprised annual returns on direct real estate calculated from the rental and capital values of 226 direct commercial properties obtained from property valuers in Lagos, Nigeria, for a period of January 1999-December 2014. The appraisal-based direct real estate returns were de-smoothed using the Geltner (1993) procedure. The annual returns of indirect real estate were also computed from the transactions of listed property stock on the Nigerian Stock Exchange for the study period. The return-risk profiles were also broken down into short- and medium-term sub-periods, comprising 3, 5, 8 and 12 years to reflect the level of volatility in the market, whereas the nature of the short-term relationship between the two real estate assets classes was tested using Granger causality technique. Findings The results revealed that listed property stock performed better than unsmoothed direct real estate on a risk-adjusted performance basis. The performance profile, however, varies over the different sub-periods considered. Short-term integration analysis showed that there was no bidirectional relationship between direct and listed property stock, implying diversification and risk reduction possibilities in combining both assets with other asset classes in a domestic asset portfolio. Overall, the results confirm the findings of previous study that listed property stocks return is segmented from the direct real estate market upon which its pricing and trading in the stock market are based. Practical implications The conclusion of the study suggests that investors could achieve improved performance by investing in listed property stocks than direct real estate in the Nigerian real estate market. The inclusion of both assets in a domestic mixed-asset portfolio could also be expected to offer diversification and risk reduction benefits. Originality/value This is one of the few studies that examine the short-run integration between direct real estate and listed property stocks with a focus on an emerging African market.


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