Fisher Hypothesis Revisited: A Fractional Cointegration Analysis

This paper investigates the validity of the Fisher hypothesis using data from thirtythree developed and developing countries. Conventional cointegration tests do not provide strong evidence for a relation between nominal interest rates and inflation. Therefore, we use fractional cointegration analysis to test the long-run relationship between the two variables. The results indicate that a long-run relation between nominal interest rates and inflation does not appear for most countries in the sample when the conventional cointegration test is employed. However, fractional cointegration between the two variables is found for a large majority of countries, implying the validity of the Fisher hypothesis. The results also indicate that the equilibrium errors display long memory.     

Integration of International Long-Term Interest Rates: A Fractional Cointegration Analysis

In this study, we re-examine the relationship among interest rates on the long-term government bonds of five industrialized countries. Using both the variance ratio test and fractional cointegration analysis, we find significant evidence that indicates the five government bond rates are fractionally cointegrated. In specific, our results show that the error correction term of the system of the five interest rates follows a mean-reverting, fractionally integrated process.     

Book Assets,Real Estate,and Returns on Common Stock

Since real estate is common to most firms, this study examines whether there is a real estate factor in common stock returns that is not completely captured by existing asset pricing models. The three-factor model of Fama and French (1993), hereafter FF, is extended to incorporate a unique real estate factor. Using his extended-FF model, we examine the returns on 53 industry portfolios of common stocks over the 1972 through 1995 time period. The results indicate that a significant 19 percent of the industries are systematically related to the real estate factor. Most interestingly, we show that the loading of the real estate factor in common stock return is related to the loading of the book-to-market equity factor in these returns. We also construct decile portfolios of common stocks based on historical sensitivities of common stock returns to the real estate factor. The coefficients on the real estate factor vary systematically across the decile portfolios. The results of our analysis suggest that portfolio managers should manage their exposure to real estate.     

Asymmetric Risk Measures and Real Estate Returns

Rational investors distinguish between extremely high and extremely low returns. The measures of investment risk should reflect such asymmetric risk perception. This study presents six asymmetric risk metrics and empirically tests their abilities in explaining the cross-sectional variations of real estate returns. It finds strong evidence that systematic downside risk is associated with a risk premium, and skewness provides significant explanatory power to the variation of cross-sectional property returns. On the other hand, co-skewness does not explain real estate returns well and is not a good systematic risk measure.     

Commercial Real Estate Return Performance: A Cross-Country Analysis

This paper investigates the return performance of publicly traded real estate companies. The analysis spans the 1984–1999 time period and includes return data on over 600 companies in 28 countries. The return data reveal a substantial amount of variation in mean real estate returns and standard deviations across countries. Moreover, standard Treynor ratios, which scale country excess returns by the estimated beta on the world wealth portfolio, also reveal substantial variation across countries in excess real estate returns per unit of systematic risk. However, when we estimate Jensens alphas using both single and multifactor specifications, we detect little evidence of abnormal, risk-adjusted returns at the country level. We do, however, find evidence of a strong world-wide factor in international real estate returns. Furthermore, even after controlling for the effects of world-wide systematic risk, an orthogonalized country-specific factor is highly significant. This suggests that real estate securities may provide international diversification opportunities.     

实际股票收益率与通货膨胀率关系的实证研究

股票收益率与通货膨胀率之间的关系至今仍无定论.采用1991年1月到2011年8月的月度数据,运用VAR模型对我国的股票收益率与通货膨胀率之间的关系进行实证分析,结果发现不论是预期的通货膨胀还是非预期的通货膨胀与股票实际收益率都是负相关关系.表明费雪效应在我国不成立,股票并不是对冲通货膨胀风险的理想工具.     

Stationarity and Cointegration in Systems with Real Estate and Financial Assets

This study examines the properties of wealth indices for investments in several asset classes (real estate, stocks, bonds, and Treasury bills), for several types of real estate (office, retail, research and development office, and warehouse), and by region (East, Midwest, South, and West). The series representing the value of investments in real estate and financial assets are not stationary; therefore, ordinary statistical procedures cannot be applied. Since many of the properties that are included in the real estate series have outside appraisals on an annual basis, especially in the fourth quarter, the real estate series may show seasonal influences. Hence, the appropriate test for cointegration is the Johansen's test, which is formulated in such a way as to allow for deterministic seasonality by the inclusion of seasonal dummy variables. The finding of cointegration implies that there is a long-run relationship between the series in the cointegrated system. When the CPI (or a proxy for inflation) is included in the three systems, the number of common factors increase to two, implying that inflation plays an important role in creating a linkage between these time series. These findings also have implications for developing portfolios comprising financial assets and real estate. The findings also have implications for developing a model to forecast real estate prices.     

Relationship Between Expected Treasury Bill and Eurodollar Interest Rates: A Fractional Cointegration Analysis

In this paper, we extend Booth and Tse's (BT)1995 analysis of fractional cointegration between theexpected Eurodollar and Treasury bill interest ratesimplied by their respective futures contracts. Thedefinition of fractional cointegration suggested byCheung and Lai (1993) and used by BT is refined sothat it requires the cointegrating relationship to bestationary as well as mean-reverting. In addition tothe Geweke and Porter-Hudak method used by BT, a moreefficient Maximum Likelihood (ML) method is used toestimate the cointegrating relationship. The LM (Engle(1982)) test indicates the possible existence of aheteroscedastic cointegrating relationship. Therefore,we use heteroscedastic models (GARCH and ExponentialGARCH) to represent the cointegrating regressioninstead of the simple homoscedastic model used by BT.The empirical evidence cannot reject the nullhypothesis of a stationary fractional cointegrationrelationship between the Eurodollar and Treasury billinterest rates.     

A Fractional Cointegration Approach to Testing Mean Reversion Between Spot and Forward Exchange Rates: A Case of High Frequency Data with Low Frequency Dynamics

This paper applies a relatively new but generalised concept of fractional cointegration to shed some light on the validity of a long-run relationship between high frequency daily spot and the lagged forward Australian-US dollar exchange rate. An investigation of the stochastic properties of these rates reveals that, while the relationship is not cointegrated in their logs, they appear to be fractionally cointegrated if we allow for mean reverting processes that are CI (1, d ) with 0< d <1. The paper demonstrates that relaxing the condition that the residual from the cointegration equation must be a I (0) process, captures a much wider class of mean-reversion behaviour. This result is interpreted in the context of the speculative EMH between the spot and forward exchanges rates, as having some empirical support. Furthermore, an analysis of the short-run dynamics propelling the long-run relationship tends to imply that in both the short- and long-term, the forward rate is led by the spot rate. In the longer term, the spot rate is found to be the initial receptor of any exogenous shock to the equilibrium and it is the forward exchange rate that bears the brunt of short-run adjustment to re-establish the long-run equilibrium relationship. The approach illustrated in this paper is shown to hold enormous potential for tests of mean reversion involving hypotheses popular to financial econometrics in general, where the dynamics of high frequency data are under scrutiny.     

Assessing the Real Estate Pricing Puzzle: A Diagnostic Application of the Stochastic Discounting Factor to the Distribution of REIT Returns

This article applies a general asset-pricing framework and the volatility bounds methodology of Hansen and Jagannathan (1991) to REIT returns. The state of real estate asset pricing remains somewhat of a puzzle relative to the identification of state variables and the structural form of models. This article offers a framework whereby real estate asset-pricing models and data can be diagnosed to answer questions about the shortcomings. In addition, several nominated discount processes are investigated for success in pricing real estate securities. Although the nominated specifications demonstrate some success in satisfying the restrictions on the first and second moments of the real estate returns distribution, they do not successfully price the securities under a no-arbitrage condition. This result calls into question previous real estate performance studies that employ these risk-adjustment processes.     

Panel Cointegration Analysis of Audit Pricing Model

This paper addresses two issues that arise from testing and estimating cointegration in accounting research. The first issue is the failure to use more powerful cointegration tests by earlier researchers. This has led to the problem of low test power in the cointegration procedures employed in the earlier accounting literature. Another issue that has not received much attention in earlier studies of audit pricing is the endogeneity bias that arises from the endogenous nature of the regressors. Commonly used regressors such as auditee size and auditee complexity are endogenous and are often related to audit fees through a system of simultaneous equations. Endogeneity bias suggests that the conventional OLS estimators are biased.Using more powerful panel sample estimation procedures, we find that elasticities of total assets are in general under-estimated in the earlier studies when the conventional OLS method was used. We also find that the earlier studies tend to under-state the effects of the foreign subsidiary ratio and over-state the effect of the ratio of account receivables to total assets on audit fees.JEL Classification: C33, M41     

Economic Risk Factors and Commercial Real Estate Returns

A great deal of research has focused on the links between stock and bond market returns and macroeconomic events such as fluctuations in interest rates, inflation rates, and industrial production. Although the comovements of real estate and other asset prices suggests that these same systematic risk factors are likely to be priced in real estate markets, no study has formally addressed this issue. This study identifies the growth rate in real per capita consumption, the real T-bill rate, the term structure of interest rates, and unexpected inflation as fundamental drivers or state variables that systematically affect real estate returns. The finding of a consistently significant risk premium on consumption has important ramifications for the vast literature that has examined the (risk-adjusted) performance of real estate, for it suggests that prior findings of significant abnormal returns (either positive or negative) that have ignored consumption are potentially biased by an omitted variables problem. The results also have important implications for dynamic asset allocation strategies that involve the predictability of real estate returns using economic data.     

The Impact of Inflation Measures on the Real Returns and Risk of U.S. Stocks

Using different inflation measures produces economically significant differences in both the inflation record and inflation‐adjusted stock returns. We introduce a more consistent measure of the monthly Consumer Price Index (CPI) inflation rate to better measure real returns over 1913–2004, for which the official CPI exists. We also extend the series backward to 1871 on a monthly basis, an important addition to the data series. We analyze the impact of inflation on the real standard deviation of stock returns and find that, in contrast to the results for geometric mean returns, inflation adjustments have little impact on estimates of return variability.     

A Reexamination of Real Stock Returns,Real Interest Rates,Real Activity,and Inflation: Evidence from a Large Data Set

Using the informational sufficiency procedure from Forni and Gambetti (2014) along with data from McCracken and Ng (2014), we update the results of Lee (1992) and find that his vector autoregression (VAR) is informationally deficient. To correct this problem, we estimate a factor augmented VAR (FAVAR) and analyze the differences once informational deficiency is corrected with an emphasis on the relationship between real stock returns and inflation. In particular, we examine Modigliani and Cohn's (1979) inflation illusion hypothesis, Fama's (1983) proxy hypothesis, and the “anticipated policy hypothesis.”     

The Effect of US Stock Market Uncertainty on Emerging Market Returns

We investigate the effects of US stock market uncertainty (VIX) on the stock returns in Latin America and aggregate emerging markets before, during, and after the financial crisis. We find that increases in VIX lead to significant immediate and delayed declines in emerging market returns in all periods. However, changes in VIX explained a greater percentage of changes in emerging market returns during the financial crisis than in other periods. The higher US stock market uncertainty exerts a much stronger depressing effect on emerging market returns than their own-lagged and regional returns. Our risk transmission model suggests that a heightened US stock market uncertainty lowers emerging market returns by both reducing the mean returns and raising the variance of returns. The VIX fears raise the volatility of emerging market returns through generalized autoregressive conditional heteroskedasticity (GARCH)-type volatility transmission processes.     

Investment Policies and Excess Returns in Corporate Spin-offs: Evidence from the US Market

This article analyzes excess returns generated by corporate spin-offs with respect to changes in investment policies of the spun-off companies. Following the spin-off, the best performing spun-off companies with low growth opportunities exhibit a significant reduction in investment and the best performing high-growth spun-off companies tend to increase or maintain the previous level of investment. The results provide evidence of the existence of a direct monotonic relationship between the size of the change in the level of investment, Tobin’s Q, and excess returns based on the Fama and French (J. financ. Econ. 33: 3–56, 1993) model.     

Asymmetric Information and the Predictability of Real Estate Returns

This article examines the relation between systematic price changes and the heterogeneity of investors information sets in real estate asset markets. The empirical implications rely on a theoretical economy in which information asymmetry alters the dynamic relation between returns and trading volume. We employ a filter-rule methodology to determine predictability in returns and augment the return-based conditioning set with trading volume. The additional conditioning information is necessary since the model is underspecified when predictability is based on returns alone. Our results provide new insight into the coexistence of informational and noninformational exchange in the speculative markets for real estate assets. Specifically, we find that the predictability of real estate returns is generally more indicative of portfolio rebalancing effects than an adverse-selection problem. These results are unique in addressing the time-variation in information asymmetry.     

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.     

Further Evidence on the Integration of REIT,Bond, and Stock Returns

This study examines the integration of REIT, bond, and stock returns. Cointegration and vector autoregressive models are employed to explore the causality and long-run economic linkages among these securities. Our results show that REITs behave more like stocks and less like bonds after the structural changes in the early 1990s. Overall, results suggest that the benefits of diversification by including REITs in multiasset portfolios diminish after 1992.     

The Conditional Distribution of Real Estate Returns: Are Higher Moments Time Varying?

Previous research has shown that the returns on individual properties and listed property securities are skewed. This claim is investigated in the context of listed U.K. property companies and U.S. REITs. In particular, the shape of the conditional distribution of total monthly returns is examined for a group of 20 U.K. companies and 20 REITs. Also investigated is the claim that the skewness found in property returns varies over time. Using the model of Hansen (1994), it is found that while a large portion of property security returns in the sample do exhibit skewness in the conditional distribution only in a few instances is there time variation in the skewness parameter. There is little evidence to suggest that skewness is associated with the economic cycle.