Review of Financial Economics · 2008 · 26 citations · 12 references
BusinessFinanceRisk AnalysisRisk-return AnalysisVariance AnalysisReit Performance MeasurementReit ValuationReit Volatility
Abstract This study employs five methods to calculate the VaR of twelve REITs portfolios and evaluates the accuracy of these methods. Firstly, we find that the VaR varies among individual portfolios. The Hotel REITs has consistently the largest VaR. The low‐leveraging portfolio tends to have the largest VaR measured by the parametric methods, while the high leveraging portfolio has the largest VaR calculated by the non‐parametric methods. Secondly, each method performs differently at different confidence levels, and no method dominates the others. At the 95% confidence level, the EWMA method performs relatively well. The EQWMA and the two non‐parametric methods perform equivalently and slightly overestimate VaRs. The EQWMA T method ranks the bottom and significantly overestimates VaRs for all portfolios. At the 99% confidence level, the EQWMA method performs the best. The EQWMA T and the two non‐parametric methods perform equivalently and may overestimate VaR for all portfolios. The EWMA method turns out to be the worst and tends to underestimate the VaR. These findings may provide more insights for institutional real estate investors.
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Bootstrap Methods: Another Look at the Jackknife
B. Efron · The Annals of Statistics · 1979 · 17.4K citations · Full text
Tanya Beder · Financial Analysts Journal · 1995 · 363 citations
Business, Finance, Risk Management +13
Evaluation of Value-at-Risk Models Using Historical Data
Darryll Hendricks · SSRN Electronic Journal · 1996 · 255 citations · Full text
Business, Finance, Risk Management +12