International Real Estate Review

2021 ◽  
Vol 24 (2) ◽  
pp. 185-220
Author(s):  
Tien Sing ◽  
◽  
Wang Long ◽  
Keyword(s):  
Real Estate ◽  
Event Study ◽  
Spillover Effects ◽  
Real Estate Investment ◽  
Significant Evidence ◽  
Market Index ◽  
The Us ◽  
Systematic Risks ◽  
Information Spillover ◽  
Operating Company

Ambrose et al. (2007) find significant evidence of information spillover effects between index real estate investment trusts (REITs) and nonindex REITs in the US markets using the inclusion of REITs into the S&P general market indices in an event study. This study, however, examines the effects of REIT index inclusion events by using non-index real estate operating company (REOC) returns in the US and Singapore. The study finds that REOC returns are more correlated with the general market index returns after REIT index inclusion events, but the spillover effects are smaller for REOCs in Singapore. The spillover effects of the REIT inclusion events are larger on non-index REITs than non-index REOCs in the US. When examining REIT inclusion events in Singapore, we find evidence of increases in betas only in the REIT market, but the changes in REOC betas are insignificant. However, we find that the REIT index inclusions significantly reduce the systematic risks of REOCs that sponsor the index REITs.

scholarly journals Information Spillover Effects of Real Estate Markets: Evidence from Ten Metropolitan Cities in China

2021 ◽  
Vol 14 (6) ◽  
pp. 244
Author(s):  
Junjie Li ◽  
Li Zheng ◽  
Chunlu Liu ◽  
Zhifeng Shen
Keyword(s):  
Real Estate ◽  
Rapid Development ◽  
House Price ◽  
Principal Component ◽  
Spillover Effects ◽  
Real Estate Markets ◽  
The Real ◽  
The Real Estate ◽  
Information Interaction ◽  
Information Spillover

With the rapid development of information communication technology and the Internet, information spillover between cities in real estate markets is becoming more frequent. The influence of information spillover in real estate markets is becoming more and more prominent. However, the current research of information spillover between cities is still relatively insufficient. In view of this research gap, this paper builds a research framework on the information conduction effect in the real estate markets of 10 Chinese cities by using Baidu search data, text mining and principal component analysis and analyzes the information interaction and dynamic influence of the real estate markets in each city by using the vector autoregressive model empirically. The results show that the information interaction among the real estate markets in each city has a network pattern and there is a significant two-way information spillover effect in most cities. When the “information distance” becomes closer, the information interaction between the markets of the cities becomes closer and it is easier for cities to influence each other. The results help to explain the information spillover mechanism behind the house price spillover and to improve the ability to predict and analyze the information spillover process in real estate markets.

Linkages between cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles

2016 ◽  
Vol 9 (2) ◽  
pp. 123-146 ◽  
Author(s):  
Kim Hiang Liow
Keyword(s):  
Real Estate ◽  
Stock Market ◽  
Business Cycles ◽  
Spillover Effects ◽  
Real Estate Market ◽  
Stock Market Index ◽  
Content Type ◽  
Market Index ◽  
Cross Country ◽  
The Cross

Purpose This research aims to investigate whether and to what extent the co-movements of cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles are linked across G7 from February 1990 to June 2014. Design/methodology/approach The empirical approaches include correlation analysis on Hodrick–Prescott (HP) cycles, HP cycle return spillovers effects using Diebold and Yilmaz’s (2012) spillover index methodology, as well as Croux et al.’s (2001) dynamic correlation and cohesion methodology. Findings There are fairly strong cycle-return spillover effects between the cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles. The interactions among the cross-country business cycles, cross-country stock market cycles and cross-country real estate market cycles in G7 are less positively pronounced or exhibit counter-cyclical behavior at the traditional business cycle (medium-term) frequency band when “pure” stock market cycles are considered. Research limitations/implications The research is subject to the usual limitations concerning empirical research. Practical implications This study finds that real estate is an important factor in influencing the degree and behavior of the relationship between cross-country business cycles and cross-country stock market cycles in G7. It provides important empirical insights for portfolio investors to understand and forecast the differential benefits and pitfalls of portfolio diversification in the long-, medium- and short-cycle horizons, as well as for research studying the linkages between the real economy and financial sectors. Originality/value In adding to the existing body of knowledge concerning economic globalization and financial market interdependence, this study evaluates the linkages between business cycles, stock market cycles and public real estate market cycles cross G7 and adds to the academic real estate literature. Because public real estate market is a subset of stock market, our approach is to use an original stock market index, as well as a “pure” stock market index (with the influence of real estate market removed) to offer additional empirical insights from two key complementary perspectives.

scholarly journals The adjustment speeds of short-run real estate investment trust (REIT) and corresponding stock returns in the USA and Australia

2017 ◽  
Vol 14 (3) ◽  
pp. 173-188
Author(s):  
Hao Fang ◽  
Yen-Hsien Lee ◽  
Jen-Sin Lee ◽  
Wei-Jui Chen
Keyword(s):  
Real Estate ◽  
Stock Markets ◽  
The United States ◽  
Stock Index ◽  
Real Estate Investment ◽  
The Us ◽  
Adjustment Speed ◽  
Non Linear ◽  
Short Run ◽  
Return Dynamics

This study first uses the non-linear co-integration with structural breaks by Gregory and Hansen (1996) to examine whether non-linear co-integration exists between real estate investment trusts (REITs) and corresponding stock markets in the United States and Australia. Second, we employ the smooth transition vector-error correction model (STVECM) including the generalized autoregressive conditional heteroskedasticity (GARCH) model to separately explore the adjustment efficiencies of non-linear short-run REIT and corresponding stock return dynamics, as well as respective REIT return dynamics when the long-run disequilibrium occurs. The results show that a structural break co-integration exists between the equity and mortgage REITs and stock markets in the US, between the REITs and stock markets in the Australia and between the REIT markets in both the US and Australia. When there are large positive and negative deviations of STVECM, the adjustment speed of reverting to equilibrium of the S&P 500 index is greater than that of the Mortgage REIT index. However, when there are large positive (negative) deviations of STVECM, the adjustment speed of reverting to equilibrium of the Australian REIT (stock) index is greater, and that of the Australian REIT (US REIT) index is greater. In addition, by using a non-linear Granger causality test by Hiemstra and Jones (1994), we find that credit price effects exist between the US for each type of REIT and stock markets regardless of large positive or negative deviations (or returns) in STVECM (or STVAR). However, there is a feedback effect exists between the REITs and the stock markets in Australia.

Spillover effects of the US monetary policy on the Indian trilemma

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Harpreet Singh Grewal ◽  
Pushpa Trivedi
Keyword(s):  
Monetary Policy ◽  
Event Study ◽  
Spillover Effects ◽  
Subject Area ◽  
Open Market ◽  
Content Type ◽  
Study Approach ◽  
The Us ◽  
The Impact ◽  
Us Monetary Policy

PurposeThe purpose of this paper is to investigate the impact of the US unconventional monetary policy surprises on the management of trilemma in India.Design/methodology/approachThis paper uses the event study approach along with OLS and MANOVA to examine the impact.FindingsThe results validate the existence of trilemma in India for the period from October 2008 to December 2017. The results also show that monetary policy independence still exists in India in the wake of greater spillover effects during the Federal Open Market Committee announcement days. The spillover effects on USD-INR exchange rates and capital flows are found to be statistically significant. The MANOVA results show that the trilemma in India is influenced by around 20% by the changes in the US monetary policy.Originality/valueThe above approach of event study combined with MANOVA in this subject area has not been used before to the best of the authors’ knowledge. Further, there are only a few studies that exist on the spillover effects of the US monetary policy actions on the management of trilemma in India.

Commercial Real Estate as an Asset Class

2019 ◽  
Vol 11 (1) ◽  
pp. 153-171 ◽  
Author(s):  
Andra C. Ghent ◽  
Walter N. Torous ◽  
Rossen I. Valkanov
Keyword(s):  
Real Estate ◽  
Commercial Real Estate ◽  
Real Estate Investment ◽  
Academic Literature ◽  
Us Economy ◽  
The Us ◽  
Asset Class ◽  
Asset Classes ◽  
Over Time ◽  
Ownership Patterns

We survey the properties of commercial real estate (CRE) as an asset class. We first illustrate its importance relative to the US economy and to other asset classes. We then discuss CRE ownership patterns over time. While the academic literature has emphasized Real Estate Investment Trusts, about two-thirds of the value of CRE is owner occupied. We next study the return properties of CRE indices and discuss what is known about the returns to individual properties. We briefly discuss CRE debt before turning to property derivatives. Finally, we consider how including CRE in a portfolio affects the portfolio's performance.

scholarly journals On the Dynamics of International Real-Estate-Investment Trust-Propagation Mechanisms: Evidence from Time-Varying Return and Volatility Connectedness Measuress

Entropy ◽  
2021 ◽  
Vol 23 (8) ◽  
pp. 1048
Author(s):  
Keagile Lesame ◽  
Elie Bouri ◽  
David Gabauer ◽  
Rangan Gupta
Keyword(s):  
Real Estate ◽  
Global Financial Crisis ◽  
Real Estate Investment Trust ◽  
Time Varying ◽  
Market Uncertainty ◽  
Real Estate Investment ◽  
The Us ◽  
Asian Pacific ◽  
The Global Financial Crisis ◽  
Market Interdependence

In this paper, we investigate the time-varying interconnectedness of international Real Estate Investment Trusts (REITs) markets using daily REIT prices in twelve major REIT countries since the Global Financial Crisis. We construct dynamic total, net total and net pairwise return and volatility connectedness measures to better understand systemic risk and the transmission of shocks across REIT markets. Our findings show that that REIT market interdependence is dynamic and increases significantly during times of heightened uncertainty, including the COVID-19 pandemic. We also find that the US REIT market along with major European REITs are generally sources of shocks to Asian-Pacific REIT markets. Furthermore, US REITs appear to dominate European REITs. These findings highlight that portfolio diversification opportunities decline during times of market uncertainty.

scholarly journals The Spillover Effects of a Downturn in China’s Real Estate Investment

2012 ◽  
Vol 12 (266) ◽  
pp. 1 ◽  
Author(s):  
Ashvin Ahuja ◽  
Alla Myrvoda ◽  
◽  
Keyword(s):  
Real Estate ◽  
Spillover Effects ◽  
Real Estate Investment
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