Varying interest rate sensitivity of different property sectors: cross-country evidence from REITs

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Yu-Cheng Lin ◽  
Chyi Lin Lee ◽  
Graeme Newell

PurposeRecognising that different property sectors have distinct risk-return characteristics, this paper assesses whether changes in the level and volatility of short- and long-term interest rates differentially affected excess returns of sector-specific Real Estate Investment Trusts (REITs) in the Pacific Rim region between July 2006 and December 2018. The strategic property risk management implications for sector-specific REITs are also identified.Design/methodology/approachDaily excess returns between July 2006 and December 2018 are used to analyse the sensitivity in the level and volatility of interest rates for REITs among office, retail, industrial, residential and specialty REITs across the USA, Japan, Australia and Singapore. The generalised autoregressive conditionally heteroskedastic in the mean (GARCH-M) methodology is employed to assess the linkage between interest rates and excess returns of sector-specific REITs.FindingsCompared with diversified REITs, sector-specific REITs were less sensitive to short- and long-term interest rate changes across the USA, Japan, Australia and Singapore between July 2006 and December 2018. Of sector-specific REITs, retail and residential REITs were susceptible to interest rate movements over the full study period. On the other hand, office and specialty REITs were generally less sensitive to changes in the level and volatility of short- and long-term interest rate series across all markets in the Pacific Rim region. However, the interest rate sensitivity of industrial REITs was somewhat mixed. This sector was sensitive to interest rate movements, but no comparable evidence was found since the onset of GFC.Practical implicationsThe insignificant exposure to interest rate risk of sector-specific REITs may imply that they have a stronger interest rate risk aversion and greater hedging benefits than their diversified counterparts, particularly for office and specialty REITs. The results support the existence of REIT specialisation value in the Pacific Rim region from the interest rate risk management perspective. This is particularly valuable to international property investors constructing and managing portfolios with REITs in the region. Property investors are advised to be aware of the disparities in the magnitude and direction of sensitivity to the interest rate level and volatility of REITs across different property sectors and various markets in the Pacific Rim region. This study is expected to enhance property investors' understanding of interest rate risk management for different property types of REITs in local, regional and international investment portfolios.Originality/valueThe study is the first to assess the interest rate sensitivity of REITs across different property sectors and various markets in the Pacific Rim region. More importantly, this is the first paper to offer empirical evidence on the existence of specialisation value in the Pacific Rim REIT markets from the aspect of interest rate sensitivity. This research may enhance property investors' understanding of the varying interest rate sensitivity of different property types of REITs across the USA, Japan, Australia and Singapore.

2019 ◽  
Vol 12 (3) ◽  
pp. 329-344
Author(s):  
Salvador Cruz Rambaud ◽  
María de los Ángeles Del Pino Álvarez

Purpose The purpose of this paper is the analysis of the mortgage prices derived from the increase of defaults and the withdrawal of floor clauses in the mortgages offered by banking institutions in Spain. More specifically, this manuscript focuses on the evolution of the spread applied to mortgages contracted with a variable interest rate. Design/methodology/approach Two models have been considered to make a proper estimation of the yield curve to assess the loss due to the withdrawal of the floor clauses and quantify the component of the price used to cover the interest rate risk. Two different scenarios have been considered to avoid an underestimation of the aforementioned valuation. Findings The authors have shown that the increase in the percentage of doubtful mortgages has led to an increase in the spread of adjustable-rate mortgages. Moreover, the authors have shown that around 40 per cent of spreads are used to cover the interest rate risk. Originality/value The main contribution of this manuscript is the quantification of the loss expected by lenders and its impact in the spread. Due to this fact, the loan spread can be disaggregated into a component dependent on the credit risk associated with the borrower, and another component dependent on the interest rate risk to which the lender is exposed.


2018 ◽  
Vol 43 (3) ◽  
pp. 152-170
Author(s):  
Renu Ghosh ◽  
K. Latha ◽  
Sunita Gupta

Executive Summary Before financial liberalization, interest rates were administered and exhibited near-zero volatility. The easing of financial repression in the 1990s generated experiences with interest rate volatility in India. Administrative restrictions on interest rates in India have been steadily eased since 1993. This has led to increased interest rate risk for financial firms. Most research studies have almost exclusively focused on the developed countries especially the banking sector of the United States. The present study attempts to examine the interest rate risk of non-banking financial institutions in India by using the methodology of panel regression and generalized autoregressive conditional heteroscedasticity (GARCH) (1, 1) model for the period from 1 April 1996 to 30 August 2014. The sample used in the study consists of all non-banking financial companies (NBFCs) listed in the S&P CNX 500 index which has continuous availability of share prices over the study period. The study also examines the impact of unanticipated changes in interest rate on stock returns of NBFCs. The Box–Jenkins methodology is applied to calculate unanticipated changes in interest rate variable, autoregressive integrated moving average (ARIMA) (24, 1, 0) model. The time series used in the present study is found to be stationary at the first logarithmic difference. Stock returns exhibit significant exposure with both market returns and interest rate changes. The interest rate sensitivity of large, medium, and small financial institutions is also found to be different. Estimation results for the variance equation in GARCH (1, 1) model suggest that the volatility for individual firm stock returns is time-variant. The ARCH and GARCH coefficients are found to be significant, providing evidence against using traditional model (ordinary least square (OLS)) that assumes time-invariant volatility. This implies that the market has a memory longer than one period and volatility is more sensitive to its own lagged values than it is to new surprises in the market. This study also investigates the possible determinants that account for cross-sectional variation in the interest rate sensitivity of NBFCs. It is found that the size of the firm is the preferred determinant that accounts for cross-sectional variation in the interest rate sensitivity of finance companies. When unanticipated changes in interest rate are used in lieu of actual interest rate changes, not much difference is observed in the significance coefficients. The only significant difference observed is in the magnitude. The impact of actual interest rate changes is more than the impact of unanticipated interest rate changes in absolute terms. This difference in the magnitude of impact arises because actual data incorporate movement in both anticipated and unanticipated components of interest rate. Hence, NBFCs managers and regulators should adopt policies and strategies to avoid the transmission of interest rate risk in their stock returns.


2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Anjiao Wang ◽  
Zhongxing Ye

We study the pricing of total return swap (TRS) under the contagion models with counterparty risk and the interest rate risk. We assume that interest rate follows Heath-Jarrow-Morton (HJM) forward interest rate model and obtain the Libor market interest rate. The cases where default is related to the interest rate and independent of interest rate are considered. Using the methods of change of measure and the “total hazard construction,” the joint default probabilities are obtained. Furthermore, we obtain the closed-form formulas of TRS under different contagion models, respectively.


2009 ◽  
Vol 15 (5) ◽  
pp. 1001-1018 ◽  
Author(s):  
Oliver Entrop ◽  
Marco Wilkens ◽  
Alexander Zeisler

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