Forecasting EREIT Returns
Camilo Serrano, Martin Hoesli,
Volume: 13
Issue Number: 4
Year: 2007
Publication: Journal of Real Estate Portfolio ManagementExecutive Summary. This paper analyzes the role played by financial assets, direct real estate, and the Fama and French (1993) factors in explaining equity real estate investment trust (EREIT) returns and examines the usefulness of these variables in forecasting returns. Four models are analyzed and their predictive potential is assessed by comparing three forecasting methods: time varying coefficient (TVC) regressions, vector autoregressive (VAR) systems, and neural networks models. Trading strategies on these forecasts are compared to a passive buy-and-hold strategy. The results show that EREIT returns are better explained by models including the Fama and French factors. The VAR forecasts are better than the TVC forecasts, but the best predictions are obtained with neural networks and especially when they are applied to the model using stock, bond, real estate, size, and book-to-market factors.
Thursday, July 10, 2008
Forecasting EREIT Returns
Thursday, May 22, 2008
Correlation, Return Gaps and the Benefits of Diversification
Correlation, Return Gaps and the Benefits of Diversification
Statman, Meir and Scheid, Jonathan, "Correlation, Return Gaps and the Benefits of Diversification" (November 2007).Abstract:Correlation is the common indicator for the benefits of diversification, but it is not a good indicator. This is for two reasons. First, the benefits of diversification depend not only on the correlations between returns but also on the standard deviations of returns. Second, correlation does not provide an intuitive measure of the benefits of diversification. Return gaps are better indicators. Return gaps are the difference between the returns of two assets or between two portfolios.
For example, the estimated 12-month return gap between the S&P 500 Index and the Russell 2000 Index and during February 2002 – January 2007 was 8.90%, implying that investors who concentrated their portfolios in one index or the other should have expected to lead or lag investors who diversified between the two in equal proportions by 4.45%. The realized 12-month return gaps ranged from 0.1% to 28.7%. It is hard to deduce these figure intuitively from the relatively high 0.82 correlation between the two. Similarly, it is hard to deduce intuitively from the relatively high 0.86 correlation between the S&P 500 and EAFE Indexes that their estimated 12-month return gap was 6.86% and their realized 12-month return gaps ranged from 1.8% to 23.0%. Moreover, the figures belie any claim that these assets' risk-reduction benefits have largely vanished.
Thursday, April 03, 2008
Beta Based Asset Allocation: Simplicity and Transparancy
Beta Based Asset Allocation: Simplicity and Transparancy
By P. Brett Hammond, TIAA-CREF Institute (Winter 2007)
This is a companion piece to a paper titled Reverse Asset Allocation: Alternatives at the Core, written in the second quarter of 2007. As discussed in that paper, the challenges and potential benefits of alternative assets include portfolio instability and counterintuitive results on the one hand, and superior return and risk expectations on the other — characteristics that become strikingly evident through asset allocation exercises involving alternatives
Tuesday, March 18, 2008
International Price and Earnings Momentum
International Price and Earnings Momentum
Leippold, Markus and Lohre, Harald, (March 4, 2008)Abstract:We find that price and earnings momentum are pervasive features of developed equity markets when controlling for multiple testing issues. Having ruled out data snooping as possible explanation for both phenomena, the evidence becomes even more startling. Recently, Chordia and Shivakumar (2006) argue that U.S. price momentum is subsumed by earnings momentum. We replicate their empirical finding for the U.S. and show that it does carry over to Europe on an aggregate level, but it does not apply to each and every European country. While the above explanation seems to be confined to certain time periods, earnings momentum nevertheless appears to be a crucial factor in explaining the price momentum anomaly in many developed markets. Since we cannot establish a decent relation between the earnings momentum phenomenon and macroeconomic risks we suspect a behavioral-based explanation to be at work. Narrowing the search for such a behavioral explanation we provide evidence that the anomaly is most likely not related to dispersion in analysts' earnings forecast.
Friday, February 29, 2008
S&P Global Index Review
S&P Global Index ReviewThe Global Index Review is designed for money managers and derivative traders to help them assess the performance and correlations of the S&P indices against other popular indices. Published quarterly, the Global Index Review provides a graphic summary of each Standard & Poor’s equity index and compares performance, where appropriate, against other leading indices around the world. It includes data and comparative analysis on the S&P Global 1200, S&P/Citigroup Indices, regional components, as well as sector, style and domestic indices with indices from MSCI, FTSE, Russell, Wilshire, Dow Jones STOXX, and Nikkei. The Global Index Review offers comparative performance, portfolio characteristics, sector weights, tracking statistics and correlations. For easy referencing, this publication is broken into regional chapters- Global Indices
including:
- U.S. Indices
- European Indices
- Japanese Indices
- Canadian Indices
- Australian Indices
- Asia and Latin America
- Alternative Indices
S&P Alternate Assets Report
S&P Alternate Assets Report
The quarterly S&P Global Alternative Assets Report provides institutional investors with comprehensive performance analysis across a number of alternative asset classes.
Global alternative assets included in this issue:
S&P Listed Private Equity
S&P Global Infrastructure
S&P MLP
S&P U.S. Preferred Stock
S&P/TSX Preferred Share
S&P Global Timber & Forestry
S&P Select Frontier
S&P Global Property 40
Sunday, February 17, 2008
Performance of Canadian E-REITs
Performance of Canadian E-REITs
Lawrence Kryzanowski
Finance Department, John Molson School of Business, Concordia University,
1455 de Maisonneuve Blvd. West, Montreal, Quebec, Canada, H3G 1M8
E-mail: lkryzan@alcor.concordia.ca.
Margarita Tcherednitchenko
Finance Department, John Molson School of Business, Concordia University,
1455 de Maisonneuve Blvd. West, Montreal, Quebec, Canada, H3G 1M8
E-mail: cheritka@yahoo.com
INTERNATIONAL REAL ESTATE REVIEW
2007 Vol. 10 No. 2: pp. 1 - 22The return performance and factor sensitivities of Canadian equity real estate investment trusts (E-REITs) are examined. Today, typical and average Canadian E-REIT IPOs are correctly priced based on first-day and subsequent short-run returns. The overpricing evident earlier in the 1993-96 period for typical and average E-REIT IPOs has corrected. E-REITs are equity investments with about one-half the market risk, and greater sensitivity to interest-rate changes, than the S&P/TSX Composite Index. E-REITs outperformed the S&P/TSX Composite over the 1996-2004 period on a return, risk, and market- and/or risk-adjusted basis. Thus, E-REITs provided material diversification benefits with no sacrifice in return, when added to a common stock portfolio during the studied period.
Does the Composition of the Market Portfolio Matter for Performance Rankings of Post-1986 Equity REITs?
Does the Composition of the Market Portfolio Matter for Performance Rankings of Post-1986 Equity REITs?
Justin D. Benefield, Randy I. Anderson , Leonard V. Zumpano, Journal of Real Estate Portfolio Management, Volume 13, no. 3.Executive Summary. Real estate investment trust (REIT) research indicates that performance rankings do not differ between market proxies containing real estate and the Standard and Poor’s 500, while mutual fund research shows that the proxy chosen significantly impacts performance rankings. Previous REIT performance ranking studies used rather obscure market indices, and only included time periods prior to the Tax Reform Act of 1986. Common market proxies are used to address whether the proxy chosen matters in REIT performance studies. Performance rankings utilize standard singlefactor methodologies and, where possible, their multifactor equivalents. Across all comparisons, results indicate that performance rankings of post-1986 equity REITs are insensitive to the market proxy chosen.
Thursday, February 14, 2008
Do REITs Behave More Like Real Estate Now?
Do REITs Behave More Like Real Estate Now?
Tsai, I-Chun, Chen, Ming-Chi and Sing, Tien Foo, (November 2007)AbstractThis paper applies the Time Varying Coefficient (TVC) approach to examine the systematic risks of the National Association of Real Estate Investment Trusts (NAREIT) return index using the Capital Asset Pricing Model (CAPM) framework. We found that the systematic risk of Real Estate Investment Trusts (REITs) is time varying with the REIT-beta declining over time. The declining beta reflects the greater acceptance of REITs as an important asset class in investors' portfolios. Investors would accept a lower risk premium because investors are better able to price the underlying assets the longer REIT assets are securitized. The results support the view that the real estate securities behave more like real estate and less like the general stock market.
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