Li, Kui-Wai (2011): A study on the volatility forecast of the US housing market in the 2008 crisis. Published in: Applied Financial Economics , Vol. 22, No. 22 (2012): pp. 1869-1880.
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This article provides the in-sample estimation and evaluates the out of-sample conditional mean and volatility forecast performance of the conventional Generalized Autoregressive Conditional Heteroscedasticity (GARCH), Asymmetric Power Autoregressive Conditional Heteroscedasticity (APARCH) and the benchmark RiskMetrics model on the US real estate finance data for the pre-crisis and post-crisis periods in 2008. The empirical results show that the RiskMetrics model performed satisfactorily in the in-sample estimation but poorly in the out-of-sample forecast. For the post-crisis out-of-sample forecasts, all models naturally performed poorly in conditional mean and volatility forecast.
|Item Type:||MPRA Paper|
|Original Title:||A study on the volatility forecast of the US housing market in the 2008 crisis|
|Keywords:||financial crisis; volatility forecast; US real estate finance|
|Subjects:||C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C53 - Forecasting and Prediction Methods ; Simulation Methods
G - Financial Economics > G1 - General Financial Markets > G18 - Government Policy and Regulation
L - Industrial Organization > L8 - Industry Studies: Services > L85 - Real Estate Services
R - Urban, Rural, Regional, Real Estate, and Transportation Economics > R2 - Household Analysis > R21 - Housing Demand
|Depositing User:||Kui-Wai Li|
|Date Deposited:||05. Sep 2012 13:56|
|Last Modified:||23. Aug 2015 05:16|
Andersen, T. and Bollerslev, T. (1998) Answering the skeptics: yes, standard volatility models do provide accurate forecasts, International Economic Review, 39, 885–905.
Black, F. (1976) Studies of stock market volatility changes, in Proceedings of the American Statistical Association, Business and Economic Statistics Section, pp. 177–181.
Bollerslev, T. (1986) Generalized autoregressive conditional heteroskedasiticity, Journal of Econometrics, 31, 307–27.
Brailsford, T. J. and Faff, R. W. (1996) An evaluation of volatility forecasting techniques, Journal of Banking and Finance, 20, 419–38.
Brooks, C. and Persands, G. (2002) Model choice and value-at-risk performance, Financial Analysts Journal, 58, 87–97.
Christie, A. A. (1982) The stochastic behavior of common stock variances, Journal of Financial Economics, 10, 407–32.
Ding, Z. C., Granger, W. J. and Engle, R. F. (1993) A long memory property of stock market returns and a new model, Journal of Empirical Finance, 1, 83–106.
Engle, R. F. (1982) Autoregressive conditional heterosedasticity with estimates of the variance of United Kingdom inflation, Econometrica, 50, 987–1007.
Engle, R. F. and Bollerslev, T. (1986) Modeling the persistence of conditional variances, Econometric Reviews, 5, 1–50.
Engle, R. F. and Ng, V. K. (1993) Measuring and testing the impact of news on volatility, Journal of Finance, 48, 1749–78.
Financial Services Authority (2009) The Turner Review: A Regulatory Response to the Global Banking Crisis, London.
French, K. R., Baily, M. N., Campbell, J. Y., Cochrane, J. H., Diamond, D. W., Duffie, D., Kashyap, A. K., Mishkin, F. S., Rajan, R. G., Scharfstein, D. S., Shiller, R. J., Shin, H. S., Slaughter, M. J., Stein, J. C. and Stulz, R. M. (2010) The Squam Lake Report: Fixing the Financial System, Princeton University Press, Princeton, NJ.
French, K., Schwert, G. and Stambaugh, R. (1987) Expected stock returns and volatility, Journal of Financial Economics, 19, 3–29.
Glosten, L. R., Jagannathan, R. and Runkle, D. E. (1993) On the relation between expected value and the volatility of the nominal excess return on stocks, Journal of Finance, 48, 1779–801.
Markowitz, H. (1952) Portfolio selection, Journal of Finance, 7, 77–91.
Morgan, J. P. (1996) Riskmetrics Technical Document, 4th edn, J. P. Morgan, New York.
Nelson, D. B. (1991) Conditional heteroskedasticity in asset returns:a new approach, Econometrica, 59, 347–70.
Sadorsky, P. (2006) Modeling and forecasting petroleum futures volatility, Energy Economics, 28, 467–88.
Schwartz, A. J. (2009) Origins of the financial market crisis of 2008, Cato Journal, 29, 19–23.
Schwert, W. (1990) Stock volatility and the crash of ‘87, Review of Financial Studies, 3, 77–102.
Taylor, S. J. (1986) Modelling Financial Time Series, J. Wiley & Sons, New York.
Taylor, J. B. (2009) Getting Off Track: How Government Actions and Interventions Caused, Prolonged, and Worsened the Financial Crisis, Hoover Institution Press, Stanford. Taylor, J. B. and Williams, J. C. (2009) A black swan in the money market, American Economic Journal: Macroeconomics, 1, 58–83.
West, K. D. (1996) Asymptotic inference about predictive ability, Econometrica, 64, 1067–84.
West, K. D. (2001) Tests for forecast encompassing when forecasts depend on estimated regression parameters, Journal of Business and Economic Statistics, 19, 29–33.
West, K. D. (2006) Forecast evaluation, in Handbook of Economic Forecasting (Eds) G. Elliott, C. W. J. Granger and A. Timmermann, North Holland, Amsterdam, pp. 99–134.
Wheaton, W., Torto, R., Southard, J. and Sivitanides, P. (1999) Evaluating risk in real estate, Real Estate Finance, 16, 15–22.
Wong, D. K. T. and Li, K.-W. (2010) Comparing the performance of relative stock return differential and real exchange rate in two financial crises, Applied Financial Economics, 20, 137–50.