簡易檢索 / 詳目顯示

研究生: 陳揚仁
Yang-Zen Chen
論文名稱: Hedging Real Estate Risk with REITs
Hedging Real Estate Risk with REITs
指導教授: 張光第
Guang-Di Chang
口試委員: 莊文議
Chuang, Wen-I
林維熊
Lin, Wei-Shong
學位類別: 碩士
Master
系所名稱: 管理學院 - 財務金融研究所
Graduate Institute of Finance
論文出版年: 2008
畢業學年度: 96
語文別: 英文
論文頁數: 22
中文關鍵詞: 不動產避險移動窗戶
外文關鍵詞: real estate, moving window, hedging
相關次數: 點閱:457下載:1
分享至:
查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報
  • 這篇論文主要探討不動產的報酬是否可以使用REITs指數避險。本論文使用ECM和雙變量GARCH模型,並以移動窗戶的方式來做不動產的避險。數據方面,我們使用NAREIT的報酬來當作REITs報酬的替代變數,Dow Jones Wilshire Real Estate Securities Index (DJW RESI)的報酬做為不動產報酬的替代變數。避險結果顯示;使用ECM 5天期的模型避險,可以規避98.17%不動產的報酬變動;使用ECM 10天期的模型避險,可以規避98.74%不動產的報酬變動;使用ECM 20天期的模型避險,可以規避98.89%不動產的報酬變動;使用ECM 40天期的模型避險,可以規避99.01%不動產的報酬變動;使用ECM 60天期的模型避險,可以規避99.00%不動產的報酬變動。使用雙變量GARCH 5天期的模型避險,可以規避98.16%不動產的報酬變動;使用雙變量GARCH 10天期的模型避險,可以規避98.74%不動產的報酬變動;使用雙變量GARCH 20天期的模型避險,可以規避98.86%不動產的報酬變動;使用雙變量GARCH 40天期的模型避險,可以規避98.96%不動產的報酬變動;使用雙變量GARCH 60天期的模型避險,可以規避98.95%不動產的報酬變動。由實驗結果可以看出,使用ECM 40天期的模型避險可以達到最佳的避險效果,並且可以規避99.01%不動產的報酬變動。因此,當投資者投資不動產時不需要再擔心不動產的價格下跌,因為投資者可以藉由放空REITs指數來達到規避不動產投資報酬的效果。


    This paper investigates if real estate return can be hedged by REITs index. This paper employs ECM and Bivariate GARCH models with moving window technique to hedge real estate returns. We use return data on NAREIT index and the Dow Jones Wilshire Real Estate Securities Index (DJW RESI). NAREIT index is served as a proxy for REITs returns, and DJW RESI is designed to serve as a proxy for direct real estate investment by institutions. The hedge performance of ECM and Bivariate-GARCH model indicates that the ECM model hedges 98.17 percent return variation of DJW RESI for 5 days period, 98.74 percent return variation of DJW RESI for 10 days period, 98.89 percent return variation of DJW RESI for 20 days period, 99.01 percent return variation of DJW RESI for 40 days period, and 99.00 percent return variation of DJW RESI for 60 days period. Bivariate-GARCH can hedge 98.16 percent return variation of DJW RESI for 5 days period, 98.74 percent return variation of DJW RESI for 10 days period, 98.86 percent return variation of DJW RESI for 20 days period, 98.96 percent return variation of DJW RESI for 40 days period, and 98.95 percent return variation of DJW RESI for 60 days period. It is concluded that the longer the time lasts, the better the hedge performance is and the 40 days ECM model is the best way to hedge real estate returns. Our results show that real estate return risk can be lowered with REITs index by 99.01 percent return variation for 40 days period by using ECM model. The result reminds us that we do not have to worry about investing in real estate when its price decreasing. We can hedge real estate price return risks by shorting REITs.

    Contents 1. Introduction 1 2. Literature review 3 2.1 Real estate 3 2.2 Liquidity 3 2.3 Hedging 5 3. Data 8 4. Methodology 9 4.1. Error Correction Model (ECM) 9 4.2. Bivariate-GARCH Model 10 4.3. Hedge Ratio 11 4.3.1. Hedge performance 11 5. Empirical Results 13 6. Conclusions 18 Reference 20

    Baillie, R. T. and R. J. Myers.(1991) “Bivariate GARCH Estimation of Optimal
    Commodity Futures Hedge,” Journal of Applied Econometrics, 6, 109-124
    Benet, Bruce A.(1992) “Hedging Period Length and Ex-ante Futures Hedging
    Effectiveness: The Case of Foreign Exchange Risk Cross Hedges,” Journal of
    futures markets, 12:2, 163-175
    Benveniste, Lawrence, Dennis R. Capozza, and Paul J. Seguin.(2001) “The Value
    of Liquidity,” Real Estate Economics, 29:4, 633-660
    Bond, Shaun A., G. Andrew Karolyi, and Anthony B. Sanders.(2003)“International Real Estate Returns: A Multifactor, Multicountry Approach,”
    Real Estate Economics. Bloomington, 31:3, 481-500
    Campbell, John Y., Sanford J. Grossman, and Jiang Wang.(1993) “Trading Volume
    And Serial Correlation in Stock Returns,” Quarterly Journal of Economics,
    108:4, 905-939
    Caplin, Andrew, and John Leahy. (1996) “Trading Costs, Price, and Volume in
    Asset Markets,” The American Economic Review, 86:2, 192-196
    Chiu, Chien-Liang, Pei-Shan Wu, Chun-Da Chen, and Wan-Hsiu Cheng.(2005)
    “Hedging with Floor-Traded and E-mini Stock Index Futures,” Quarterly
    Journal of Business & Economics, 44: 3/4, 49-68
    Clapp, John M. and Carmelo Giaccotto.(1994) “The Influence of Economic
    Variables on Local House Price Dynamics,” Journal of URBAN Economics,
    36:2,161-183
    Clayton, Jim, and Greg MacKinnon.(1999) “The Dynamics of REIT Liquidity in a
    Down Market,” Real Estate Finance, 16:3; 36-43
    Engle, Robert F., and C.W.J. Granger.(1987) “Co-integration and Error
    Correction: Representation, Estimation, and Testing,” Econometrica, 55:2,
    251-276
    Englund, Peter, Min Hwang, and John M. Quigley.(2002) “Hedging Housing
    Risk,” Journal of Real Estate Finance and Economics, 24:1/2, 167-200
    Glascock, John L., David Michayluk, and Karyn Neuhauser. (2004) “The
    Riskiness of REITs Surrounding the October 1997 Stock Market Decline,”
    Journal of Real estate Finance and Economics, 28:4, 339-354
    Gullett Nell S., and Arnold L. Redman.(2005) “Do Real Estate Mutual Funds
    Enhance Portfolio Returns and Reduce Portfolio Risk?” Briefings in Real
    Estate Finance, 5, 51-66
    Hendershott, Patric H. and Robert J. Hendershott. (2002) “On Measuring Real
    Estate Risk,” Real Estate Finance, 18: 4, 35-40
    Johnson, Leland L.(1960) “The Theory of Hedging and Speculation in Commodity
    Futures,” Review of Economic Studies, 27: 3, 139-151.
    Krehbiel, Tim and Lee C. Adkins.(1993) “Cointegration Test of the Unbiased
    Expectations Hypothesis in Metals Markets,” Journal of Futures Markets,
    13:7, 753-763
    Leung, Charles Ka Yui and Dandan Feng.(2005) “What Drives the Property Price-
    Trading Volume Correlation? Evidence from a Commercial Real Estate Market,”
    Journal of Real Estate Finance and Economics, Boston, 31:2, 241-255
    Li, Jinliang, Robert M. Mooradian, and Wei David Zhang.(2007) “Is Illiquidity
    a Risk Factor? A Critical Look at Commission Costs,” Financial Analysts
    Journal, 63:4, 28-39
    Mok, Diana Ka Yan.(2002) “Real Estate Liquidity Risks, Price Risks, and
    Cities,” Ph.D. Dissertation Graduate Department of Geography, University of
    Toronto (Canada), 1-175
    Nelson, Charles R. and Charles R. Plosser.(1982) “Trends and Random Walks in
    Macroeconomics Time Series: Some Evidence and Implications,” Journal of
    Monetary Economics, 10:2, 139-162.
    Park, Tae H. and Lorne N. Swizer.(1995) “Bivariate GARCH Estimation of the
    Optimal Hedge Ratios for Stock Index Future: A Note,” Journal of Futures
    Markets, 15:1, 61-67
    Saint-Pierre, Paul S.(1991) “Liquidity Strategies for Real Estate Funds,”
    Real Estate Review, 21:3, 60-66
    Stein, Jerome L.(1961) “The Simultaneous Determination of Spot and Futures
    Prices,” American Economic Review, 51:5, 1012-1025.
    Ziobrowski, Alan J. and Brigitte J. Ziobrowski.(1993) “Hedging Foreign
    Investments in U.S. Real Estate with Currency Options,” Journal of Real
    Estate Research, 8:1, 27-54
    Ziobrowski, Alan J. and Brigitte J. Ziobrowski.(1993) “Using Forward
    Contracts to Hedge Foreign Investment in US Real Estate,” Journal of
    Property Valuation and Investment, 13:1, 22-43

    無法下載圖示 全文公開日期 2011/07/14 (校內網路)
    全文公開日期 本全文未授權公開 (校外網路)
    全文公開日期 本全文未授權公開 (國家圖書館:臺灣博碩士論文系統)
    QR CODE