Does Temporal Aggregation Explain the Persistence of the S&P/Case‐Shiller Indices? Evidence from a Longitudinal Specification

Temporal aggregation is a repeat sale index construction methodology that consists of aggregating paired‐transactions in a moving‐average window. In particular, the methodology is used to calculate the popular S&P/Case‐Shiller home price indices. In this article, I focus the insights of the literature on measurement error to demonstrate that temporal aggregation produces idiosyncratic biases in predictive regression slopes. I further estimate a dynamic instrumental variable (IV) panel for the 20 S&P/Case‐Shiller metro areas. The main empirical finding is that temporal aggregation is a short‐lived statistical disturbance that does not explain the homogenous robust persistence of the indices.     

Repeat Sales as a Matching Estimator

The most common approaches for constructing house price indices—hedonic price functions and the repeat sales estimator—focus on changes over time in mean prices. Though the hedonic approach is less wasteful of data than the repeat sales estimator, it relies on an accurate specification of the underlying econometric model. I suggest using a matching estimator as an alternative to the hedonic and repeat sales approaches. Like the repeat sales approach, a matching estimator uses pairs of sales from different dates to estimate the mean difference in sales prices over time. The matching approach preserves much larger sample sizes than the repeat sales estimator while requiring less preimposed structure than the hedonic approach. The matching approach makes it easy to characterize changes in the full distribution of house prices.     

New Evidence on Home Prices from Freddie Mac Repeat Sales

The weighted repeat sales price index methodology recently reported in Case and Shiller [5] [6] is applied to a dataset of over eight million loans bought by the Federal Home Loan Mortgage Corporation over the last twenty years. Regional price indices are reported and compared to indices from other sources. Statistical issues in the creation of the index, both technical and due to sample selectivity of the Freddie Mac dataset, are extensively discussed. It is found that the new index grows at a rate similar to other indices up until 1985, after which time it grows at a significantly higher rate.     

Catch Animal Spirits in Auction: Evidence from New Zealand Property Market

Following the animal spirits theory proposed by Akerlof and Shiller, this article contributes to behavior economics by investigating the possibility of using auction sales data to capture evidence of irrational exuberance in the housing market. Using the monthly percentages of residential property auction sales for Auckland, Wellington and Christchurch regions in New Zealand from 2006 to 2015, and the exuberance testing method proposed by Phillips, Shi and Yu, we find that animal spirits have been developing in the Auckland housing market since 2013, but not in other regions. When compared to the results based on price‐to‐rent ratios, auction sales provide more meaningful results for identifying market‐wide irrational exuberance at an early stage. The causality test on price‐to‐rent ratios and auction sales volume shows that asset prices and animal spirits influence each other in the short run. In the long run, prices have significant effect on animal spirits, but not vice versa.     

Market Efficiency and Return Statistics: Evidence from Real Estate and Stock Markets Using a Present-Value Approach

This paper develops a methodology to identify asset price response to news in the framework of the Campbell–Shiller log-linear present-value equation. We further show that a slow price adjustment in real estate markets not only induces a high serial autocorrelation in excess returns, but also dampens the return volatility and the correlation with excess returns in other asset markets. Using Hong Kong real estate and stock market data, we find that the quarterly real estate price assimilates only about half the effect of market news, whereas the quarterly stock price incorporates the news fully. Our analysis identifies a cumulative price adjustment that recovers lost information in real estate returns due to market inefficiency and thereby restores the real estate return volatility and the correlation between real estate and stock markets.     

Appraisal-Based Real Estate Returns under Alternative Market Regimes

In this article we use Monte Carlo simulation to study the statistical properties of real estate returns. We set up a model where transactions prices are noisy signals of true prices. We then consider a number of appraisal rules, derived from Bayesian and non-Bayesian theory, to estimate the current true price and rate of return. The class of exponential smoothing and Kalman filter rules perform well at both the disaggregate (returns on an individual property) and aggregate (returns on a real property portfolio) levels. A special case of exponential smoothing (α= 1.0) places all weight on current market data. Since this case eliminates smoothing, our results suggest that appraisers should place all weight on current data (no weight on past data) provided that they want to estimate returns rather than values. However, these results should be used with caution if sales prices are very noisy.     

On the Price Comovement of U.S. Residential Real Estate Markets

We investigate the comovement among Case‐Shiller Home Price Indices for 14 metropolitan areas between 1992 and 2008. We define the portion of this comovement deemed as fundamental (excessive) as the covariation that can (cannot) be attributed to common fundamental factors directly influencing real estate prices. We find that i) comovement among these markets considerably increased over the sample period, especially in the late 1990s; ii) this increase is mostly attributable to underlying systematic real and financial factors, consistent with a greater fundamental integration of those markets; and iii) excess comovement is a less important factor than commonly believed. We discuss the implications of these results for the evolution of U.S. real estate prices over the last two decades and the ongoing credit crisis.     

The Substitutability of Real Estate Assets

This paper investigates the degree of substitutability between securitized real estate assets and real estate assets whose prices are appraisal-based. Given the insensitivity of unsecuritized asset's returns to the returns on stock market indices, equilibrium asset pricing models cannot be used to compare these two avenues of investment. Two assets are deemed substitutable if the information sets underlying unbiased, minimum error variance estimates of their pricing parameters are identical. The empirical evidence shows that the prices of the transactions-based assets—real estate investment trusts and the stock price index of the home building industry—follow a random walk while the prices of the appraisal-based assets—FRC/NCREIF indices—do not. The variance decompositions of the vector autoregressions also show that the level of economic activity helps predict the price indices of appraisal-based assets while the stock market index and the term structure of interest rates are better predictors of the prices of transactions-based assets     

GMM Repeat Sales Price Indices

Illiquid assets are widely spread within the economy but their indices are difficult to measure. This paper proposes a Generalized Method of Moment (GMM) repeat sales regression for estimating illiquid asset price indices. This method has estimators that are arithmetic averages of individual asset returns. This method is able to estimate custom-weighted indices, including equal- and value-weighted indices. It can incorporate hedonic variables to improve estimation accuracy, and it can work with a reweighting technique to mitigate a biased sample problem. Simulations based on artificial markets indicate that the method is more accurate than some alternatives in both efficient and sluggish markets, with and without temporal aggregation. As an application, we use this method to estimate a commercial property price index.     

An Anatomy of Price Dynamics in Illiquid Markets: Analysis and Evidence from Local Housing Markets

This research analyzes the dynamic properties of the difference equation that arises when markets exhibit serial correlation and mean reversion. We identify the correlation and reversion parameters for which prices will overshoot equilibrium ("cycles") and/or diverge permanently from equilibrium. We then estimate the serial correlation and mean reversion coefficients from a large panel data set of 62 metro areas from 1979 to 1995 conditional on a set of economic variables that proxy for information costs, supply costs and expectations. Serial correlation is higher in metro areas with higher real incomes, population growth and real construction costs. Mean reversion is greater in large metro areas and faster growing cities with lower construction costs. The average fitted values for mean reversion and serial correlation lie in the convergent oscillatory region, but specific observations fall in both the damped and oscillatory regions and in both the convergent and divergent regions. Thus, the dynamic properties of housing markets are specific to the given time and location being considered.     

Patent‐backed securities in pharmaceuticals: what determines success or failure?

Recently, there has been growing interest in new financial tools that leverage on intellectual property assets, such as patent‐backed securitizations (PBSs). In this paper we study the potential determinants leading to the success or failure of securitization deals having patents as underlying assets. We develop a conceptual framework that we test on two well‐known US patent securitization deals in the pharmaceutical industry, by using a fuzzy set approach. Results highlight that factors related to the market size, level of competition and expected market life of the assets underlying a PBS can reasonably increase the probability that a deal will succeed. Moreover, a higher quality of the underlying invention and longer patent residual life are likely to reduce the risk of technical obsolescence and sales losses. Finally, the strength of the credit enhancement mechanisms, the flexibility of the deal architecture and the adoption of a diversification strategy are other key factors determining the success of the securitization.     

A Comparative Anatomy of Residential REITs and Private Real Estate Markets: Returns,Risks and Distributional Characteristics

Real Estate Investment Trusts (REITs) are the only truly liquid assets related to residential real estate investments. We study the behavior of U.S. Residential REITs over the past three decades and document their return characteristics. REITs have somewhat less market risk than equity; their betas against a broad market index average about 0.58. Decomposing their covariances into principal components reveals several strong factors. Residential REIT characteristics differ to some extent from those of the S&P/Case‐Shiller (SCS) private real estate markets. This is partly attributable to methods of index construction. Our examination of REITs suggests that investment in residential real estate is far more risky than what might be inferred from the widely followed SCS series. Although the SCS and REITs indicate little support for being able to predict each other, there is strong evidence of self‐predictability for the series.     

Spatial Linkages in Returns and Volatilities among U.S. Regional Housing Markets

This article investigates spatial linkages in returns, idiosyncratic risks and volatilities across 19 U.S. regional housing markets. Using Case & Shiller housing price indices from 1995 through 2009, we find that interconnections across markets can be “wider” and “stronger” than would normally be expected. They are “wider” because, in addition to geographic closeness, economic proximity is also an important source of influence; they are “stronger” because of the significant contagion effects during the 2007–2009 subprime and financial crises. The increased comovement and interdependence, especially among more geographically diverse regions with similar economic conditions, may help explain the failure of geographic portfolio diversification strategies.     

REAL OPTIONS VOLATILITY ESTIMATION WITH CORRELATED INPUTS

Real Options Analysis (ROA) provides a framework for valuing reactive and proactive managerial flexibility in investment decisions. Estimating the volatility parameter for a real options model is challenging because there are typically no historical returns for the underlying asset and no current market prices. A previously developed method of using simulation to estimate the volatility parameter for a real investment is demonstrated. The effects of serial price correlation and price-demand cross-correlation on volatility parameters developed with this method are explained. Finally, managerial implications of these findings are discussed.     

A Varying Parameters Approach to Constructing House Price Indexes

Conventional housing price index models assume interperiodparameter stability and typically employ either repeat sales or hedonic methodologies. This paper introduces a method of index construction that combines multiple sales observations with single sale transactions while permitting characteristics prices from hedonic regressions to vary over time. A test for interperiod parameter stability is provided. Each period's data are arranged by location and repeat sales are matched by rows. This construction allows greater use of sample information and acknowledges the unique contribution of repeat sales to the estimation process. It also produces intertemporal error correlations that can be beneficially exploited by the seemingly unrelated regressions (SUH) technique. The paper also demonstrates a significance test for error correlation and discusses the treatment of unequal numbers of observations among index periods.     

Asset Characteristics and Boom and Bust Periods: An Experimental Study

We examine the impact of transaction costs, short selling restrictions and divisibility of assets on market efficiency in experimental asset markets. We find that transaction costs do not exacerbate the inefficiency of the market. They reduce the magnitude of bubbles and push prices closer to fundamentals. More divisible assets exhibit smaller deviations of prices from fundamentals. Short selling restrictions contribute to prolonged bubbles, while relaxing them increases the occurrence of “bust cycles.” We also find that experimental real estate markets display larger deviations of prices from fundamental values, longer boom and bust cycles and smaller turnover than experimental financial markets.     

Hedging House Price Risk in China

The increasing risk associated with China's housing prices is globally recognized. However, hedging this risk is challenging because of a lack of financial derivatives on China's housing assets. We suggest that the short sale of futures contracts for construction raw materials, i.e., iron ore or/and steel, can act as useful tools to hedge the systematic risk of China's new home price. We first present evidence that there is a strong and stable correlation between changes in China's housing prices and global steel/iron ore prices. Using a hedging strategy model, we then show that, during the sample period between 2009 and 2015, 20.6% of the total unpredicted variance in Chinese housing prices can be hedged by shorting rebar and iron ore futures. We further examine this strategy with an event study based on the announcement of the “home‐purchase restriction” policy in April, 2010. The cumulative abnormal returns show that both steel and iron ore prices reacted significantly to this negative shock, and therefore the proposed strategy could substantially help investors offset losses in the housing market. We finally provide some evidences that this strategy can also help investors in specific regional housing markets, or the resale housing markets.     

Immigration and the Property Market: Evidence from England and Wales

This article investigates the link between immigration and property markets in England and Wales. Evidence from fixed effects and shift‐share–based instrumental variable regressions suggests that an increase in regional immigration, depending on the specification, either decreases prices at the lower end of the distribution up to the median or leaves them unchanged and has (almost) no effect on mean property prices or prices above the median. The evidence suggests that these findings can be explained through an interaction between the markets for rented and owned properties as well as through changes in the usage of housing space.     

Short Sales and Price Discovery in the Hong Kong Real Estate Market

Indirect real estate (IRE) returns are often shown to lead direct real estate (DRE) returns. Apart from differences in liquidity, transaction costs, and management skills, the DRE market is also less complete than the IRE market—when negative shocks arrive, one can only short IRE (e.g., real estate stocks or REITs), but not DRE. This study investigates if short sales in the IRE market convey any information to the DRE market. Based on high‐frequency (weekly) property price data in Hong Kong from 2000 to 2012, we find that short sales in the IRE market led DRE returns, even after controlling for the lagged IRE returns in a VAR model. This supports an information spillover mechanism in which the DRE market learns private information that is not reflected in IRE returns. The spillover effect, however, weakened after the recent global financial crisis because the increased uncertainty over the credibility of individual firms made short sales more reflective of firm‐specific information than real estate market fundamentals.     

Financing Residential Development with Special Districts

This paper empirically examines the extent to which the property tax liability created by financing residential infrastructure using special district bonds is capitalized in house prices. We compare house prices for single‐family detached homes built within development districts to similar properties located outside development districts. Our hedonic specification includes the usual housing characteristics and controls for the influence of spatial attributes using Census Block Group “neighborhood” fixed effects. The preferred empirical specification restricts the data to neighborhoods that have numerous sales of recently constructed single‐family detached homes located both within and outside development districts. The empirical results indicate that house prices for homes located within development districts are lower than house prices for similar homes located outside of development districts, but the amount of property tax capitalization is significantly less than full. Results depend on our Generalized Methods of Moments estimator, which instruments property tax rates using the characteristics of development districts. We identify valid instruments by restricting transactions to properties located in rapidly growing suburban developments.