Volatility Forecasting and Characteristics of Equity REITs

• Main Authors: Sheng-Shih Huang, 黃聖志
• Other Authors: 邱建良
• Format: Others
• Language: en_US
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/99227967637799689626

博士 === 淡江大學 === 財務金融學系博士班 === 97 === The purpose of this dissertation is to contribute to the literature on volatility forecasting and characteristics of Equity REITs which comprises three parts. The first part is entitled “Forecasting Volatilities for U.S. Equity REITs”, the second part is named “Stock and Interest Rate Sensitivity of Equity REITs”, and the last one is “Risk Premium and Asymmetric Volatility of Equity REITs”. A brief introduction of these three parts can be summarized as follows: The first part compares the WCARRX model with the ECARRX model in forecasting financial volatilities for U.S. Equity REITs. The empirical results are summarized as follows. First, we indicate the persistence of range shocks that U.S. Equity REITs data seem to support a Weibull alternative over the null of an exponential distribution. Secondly, this dissertation investigates that the long-run interest rate and stock market have positive shock with the U.S. Equity REITs. Furthermore, this dissertation finds that there is not statistically significant in the case of the West Texas crude oil Index, which implies that the U.S. EREITs do not represent effective inflation hedges. Third, out-of-sample volatility forecasts give rise to almost unanimous support for the WCARRX model over the ECARRX model. As a result of the above forecast evaluations, it is obvious that the WCARRX model does provide sharper volatility forecasts than the ECARRX model. In the second, the main study of this dissertation uses the ARJI model to examine the U.S. and Japan EREITs markets, which with the dynamic analysis of stock and long-term and short-term interest rate sensitivity. The empirical results have summarized as follows. First, our results show that there exists a positive correlation between the target EREITs returns and the market index. This implies that EREITs behave more like common stocks (small stocks) than the underlying real estate or bond. Furthermore, the results show that REITs, in particular EREITs, offer investors good diversification benefits. Secondly, this dissertation finds a positive correlation between the target EREITs returns and the yield of 10-year Treasury notes in recent years. This implies that an increase in interest rates may reflect stronger economics growth, higher inflationary expectations, and upward pressure on real estate prices. Third, this dissertation finds that there is not statistically significant between the target EREITs returns and the yield of 3-month T-bills. Finally, empirical results demonstrate that the return of U.S. EREITs and Japan EREITs indices have highly volatility clustering phenomenon. The last part utilizes the GJR-ARJI model to examine the daily excess returns of the EREITs index and the daily excess returns of market portfolios in the U.S., Australia and Japan EREITs indices. The empirical results have summarized as follows. First, the excess EREITs returns and the market risk premium are related in that they move in the same direction. This implies that the international EREIT indices and stock indices are positive correlated based on the EREITs’ diversified characteristics. We suggest that a relational investor can choose a REIT index to replace an overreacting stock index such as a hedge fund or a bond. Secondly, this dissertation finds evidence of a strong asymmetric effect with respect to the impact of past good and bad news. The empirical results demonstrate that the excess EREIT returns and market risk premium exhibit jump phenomena. Hence, this study suggests using the GJR-ARJI model investigate the excess return concept to capture and comprehend the true features of the EREITs for the U.S., Australia and Japan, and thus avoids incorrect financial and economic decisions.