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研究生: Daniel Andres Parra Barboza
Daniel Andres Parra Barboza
論文名稱: Effects of Monetary Policy in the United States on Timber REIT Returns
Effects of Monetary Policy in the United States on Timber REIT Returns
指導教授: 張光第
Guang-Di Zhang
口試委員: 劉代洋
Dai-Yang Liu
謝劍平
Jian-Ping Xie
繆維中
Wei-Zhong Miao
張光第
Guang-Di Zhang
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: 2022
畢業學年度: 110
語文別: 英文
論文頁數: 26
中文關鍵詞: VAR
外文關鍵詞: Quantitative Easing, Timber REIT Returns, Monetary Policy, Granger Causality, VAR
相關次數: 點閱:223下載:3
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  • In this paper we analyze whether a monetary policy based on FED Funds Rate and Quantitative Easing influences Timber REIT Returns. We use a conventional Vector Auto Regression model to determine the non-linear impact of monetary policy changes on Timber REIT returns from December 2010 to November 2021. Our results indicate that there is no causality effect of monetary policy changes on Timber REIT returns. We believe that our results of the neutrality of Timber REITs are insightful for financial professionals. Timber REITs seem to be a good option of high return investment to consider in a portfolio, for diversification purposes. Offering up to 10.3% average returns during our research period of 11 years.

    ABSTRACT ...............................................................................................................................4 1. 2. 3. INTRODUCTION:............................................................................................................7 LITERATURE REVIEW..................................................................................................9 DATA & METHODOLOGY...........................................................................................11 3.1- Data..............................................................................................................................11 3.2- Methodology................................................................................................................16 EMPIRICAL RESULTS.................................................................................................18 4.1- Unit root test................................................................................................................18 4.2- Granger Causality test ...............................................................................................18 4.3 Impulse responses ........................................................................................................19 4.4 Variance Decomposition..............................................................................................21 CONCLUDING REMARKS...........................................................................................23 REFERENCES .......................................................................................................................25

    Baral, S., Mei, B. (2022): Development and performance of timber REITs in the United States: A review and some prospects. Canadian Science Publishing, 52, 1- 10.
    Bredin, D., O’Reilly, G. & Stevenson, S. (2007): Monetary Shocks and REIT Returns. Journal of Real Estate Finance and Economics, 35, 315–331.
    Chang, K. L., Chen, N.K. & Leung, C. (2011). Monetary Policy, Term Structure and Asset Return: Comparing REIT, Housing and Stock. Journal of Real Estate Finance and Economics, 43, 221-257.
    Chen, MC., Peng, CL., Shyu, SD. et al. (2012): Market States and the Effect on Equity REIT Returns due to Changes in Monetary Policy Stance. Journal of Real Estate Finance and Economics, 45, 364–382.
    Dickey, D. A., & Fuller, W. A. (1981): Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root. Econometrica, 49(4), 1057–1072.
    Elliott, G., Rothenberg, T. J., & Stock, J. H. (1996): Efficient Tests for an Autoregressive Unit Root. Econometrica, 64(4), 813–836.
    Fatnassi, I., Slim, C., Ftiti, Z., Maatoug, A.B. (2014): Effects of monetary policy on the REIT returns: Evidence from the United Kingdom. Research in International Business and Finance, 32, 5-26.
    Federal Reserve Economic Data. (2022): Federal Funds Effective Rate, Percent, Monthly, Not Seasonally Adjusted. Economic Research Division, 2010-2021.
    Federal Reserve Economic Data. (2022): M3 for the United States, National Currency, Monthly, Seasonally Adjusted. Economic Research Division, 2010-2021.
    25
    Granger, C. W. J. (1969): Investigating Causal Relations by Econometric Models and Cross-Spectral Methods. Econometrica, 37(3), 424–38.
    Hamilton, J. D. (1994): Time Series Analysis, Princeton, NJ: Princeton University Press.
    Johansen, S. (1991): Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models. Econometrica, 59(6), 1551–80.
    Johansen, S. (1991). Statistical analysis of cointegration vectors. Journal of Economic Dynamics and Control, 12(2-3), 231-254.
    Nareit. (2022): Nareit’s Monthly Industry Data Update. Reitwatch, 2010-2021.
    Phillips, P. C. B., & Perron, P. (1988): Testing for a unit root in time series regression. Biometrika, 75(2), 335–346.
    Piao, X., Mei, B., Xue, Y. (2016): Comparing the financial performance of timber REITs and other REITs. Forest Policy and Economics, 72, 115-121.
    Sims, C. A. (1980a): Macroeconomics and reality. Econometrica, 48(1), 1-48.
    Sims, C. A. (1980b): Comparison of Interwar and Postwar Business Cycles: Monetarism Reconsidered. Econometrica, 430, 1-48.
    Sims, C. A., Goldfeld, S. M., & Sachs, J. D. (1982): Policy Analysis with Econometric Models. Brookings Papers on Economic Activity, 1, 107–164.
    Wang, L. (2016): Unconventional monetary policy and aggregate bank lending: Does financial structure matter? Journal of Policy Modeling, 38(6), 1060-1077.

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