Predicting House Prices with Real-Estate-Related Stocks

使用房地產相關股票之價格預測房價

林姿妤(Tzu-Yu Lin)

《經濟論文叢刊》 47卷2期 (2019/06) Pp. 159-182

https://doi.org/10.6277/TER.201906_47(2).0001

摘要

This paper investigates the forecasting content of real-estate-related stock prices for house prices. Using both in- and out-of-sample tests, this paper shows that real-estate-related stock price indices have extremely robust power in predicting US house prices. The empirical results are highly valuable for investors and policy makers because real-estate-related stock prices are shown to be a reliable predictor reflecting timely market information and are readily available to forecast real estate market movements.

關鍵字

real-estate-related stock prices ； house prices ； in-and out-of-sample prediction

並列摘要

本文探討房地產相關股票之價格是否有助於預測房價。透過樣本內與樣本外預測分析，結果發現，房地產相關股票的價格對於美國房價的預測表現極佳。根據此實證結果，由於股票價格可及時反應市場資訊，且無資料修正問題，因此對於投資人及政策制定者而言，房地產相關股票之價格不失為房價之良好預測指標。

並列關鍵字

房地產相關之股票價格 ； 房價 ； 樣本內與樣本外預測

參考文獻

Baffoe-Bonnie, John (1998), “The Dynamic Impact of Macroeconomic Aggregates on Housing Prices and Stock of Houses: A National and Regional Analysis,” Journal of Real Estate Finance and Economics, 17(2), 179-197.

Barro, Robert J. (1990), “The Stock Market and Investment,” Review of Financial Studies, 3(1), 115-131.

Bracke, Philippe (2013), “How Long do Housing Cycles Last? A Duration Analysis for 19 OECD Countries,” Journal of Housing Economics, 22(3), 213-230.

Campbell, John Y. and Robert J. Shiller (1988), “The Dividend-Price Ratio and Expectations of Future Dividends and Discount Factors,” Review of Financial Studies, 1(3), 195-228.

Campbell, John Y. and Samuel B. Thompson (2008), “Predicting Excess Stock Returns Out of Sample: Can Anything Beat the Historical Average?” Review of Financial Studies, 21(4), 1509-1531.