Trends and Spectral Response: An Examination of the US Realty Market
This paper sets out to consider whether changes in economic fundamentals in the United States can impact on international real estate markets. To this end a two-step approach is pursued. In the first step cointegration techniques are used to determine whether common trends exist in international property markets. Once common trends are identified amongst securitised property markets, a potential common driver is isolated by substituting US Gross Domestic Product for US property. The paper then uses a spectral response technique to examine the impulse response between shocks in the US economy and reactions in foreign real estate markets. The results support a linkage between the economic growth of an important member of the international economic community and international real estate performance.
|Date of creation:||May 2003|
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"Global Real Estate Markets: Cycles And Fundamentals,"
Yale School of Management Working Papers
ysm20, Yale School of Management, revised 01 Jan 2001.
- William N. Goetzmann & Bradford Case & K. Geert Rouwenhorst, 1999. "Global Real Estate Markets: Cycles And Fundamentals," Yale School of Management Working Papers ysm116, Yale School of Management.
- Bradford Case & William N. Goetzmann & K. Geert Rouwenhorst, 2000. "Global Real Estate Markets - Cycles and Fundamentals," NBER Working Papers 7566, National Bureau of Economic Research, Inc.
- Aggarwal, Raj & Mougoue, Mbodja, 1996. "Cointegration among Asian currencies: Evidence of the increasing influence of the Japanese yen," Japan and the World Economy, Elsevier, vol. 8(3), pages 291-308, September.
- Phylaktis, Kate, 1999. "Capital market integration in the Pacific Basin region: an impulse response analysis," Journal of International Money and Finance, Elsevier, vol. 18(2), pages 267-287, February.
- Juselius, Katarina, 1995. "Do purchasing power parity and uncovered interest rate parity hold in the long run? An example of likelihood inference in a multivariate time-series model," Journal of Econometrics, Elsevier, vol. 69(1), pages 211-240, September.
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