全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

A Study of Changes in Risk Appetite in the Stock Market and the Housing Market before and after the Global Financial Crisis in 2008 Using the vKOSPI

DOI: 10.4236/me.2013.411077, PP. 712-722

Keywords: Risk Appetite, Stock Market, Housing Market, Implied Volatility Index

Full-Text   Cite this paper   Add to My Lib

Abstract:

This study analyzes the empirical relationship between the vKOSPI, which is the Korean VIX (implied volatility index), and the housing market (rent1-to-house price ratio) based on monthly data from January 2003 to November 2012. The data were divided into two parts before and after the global financial crisis in 2008 and were analyzed by using the Vector Autoregressive (VAR) Model. The research results show that the influence of vKOSPI on the housing market changes from symmetric to asymmetric since the global financial crisis in 2008. Before the global crisis in 2008, the influence of the vKOSPI on the house price index and rent index is almost the same, so the influence on the rent-to-house price ratio is not statistically significant. However, since the global crisis in 2008, the influence of the vKOSPI on the two prices has changed asymmetrically and the influence on the rent-to-house price ratio was statistically significant. Second, the influence of the vKOSPI fluctuation on house sale prices and rent is shown differently according to the rise/fall of the vKOSPI. In the event of the vKOSPI rising, house prices would fall greatly. On the other hand, in the event of the vKOSPI falling, the rise in housing prices is relatively small. This means that while the boosted sentiment of investors in the stock market is not transferred to the housing sales market, the aggravated sentiment of investors affects the housing sales market easily. In conclusion, the uncertainty has been represented in the vKOSPI and the preference for risky assets has an asymmetrical influence on the market dependent upon the kind of market. We suspect that this is caused by complex factors including shrinking expectations for future house prices.


References

[1]  B. S. Bernanke, M. Gertler and S. Gilchrist, “The Financial Accelerator in a Quantitative Business Cycle Framework,” Handbook of Macroeconomics, Vol. 1, No. 1, 1999, pp. 1341-1393.
http://dx.doi.org/10.1016/S1574-0048(99)10034-X
[2]  N. Bloom, “The Impact of Uncertainty Shocks,” Econometrica, Vol. 77, No. 3, 2009, pp. 623-685.
http://dx.doi.org/10.3982/ECTA6248
[3]  M. Chauvet, S. Gabriel and C. Lutz, “Fear and Loathing in the Housing Market: Evidence from Search Query Data,” Sosial Science Research Network, 2012.
http://dx.doi.org/10.2139/ssrn.2148769
[4]  N. Apergis and L. Lambrinidis, “More Evidence on the Relationship between the Stock and the Real Estate Market,” Briefing Notes in Economics, No. 85, 2011.
[5]  E. Anoruo and H. Braha, “Housing and Stock Market Returns: An Application of GARCH Enhanced VECM,” The IUP Journal of Financial Economics, Vol. 6, No. 2, 2008, pp. 30-40.
[6]  S. Sim and B. Chang, “Stock and Real Estate Markets in Korea: Wealth or Credit-Price Effect,” Journal of Economic Research, Vol. 11, No. 1, 2006, pp. 99-122.
[7]  R. Y. Tse, “Impact of Property Prices on Stock Prices in Hong Kong,” Review of Pacific Basin Financial Markets and Policies, Vol. 4, No. 1, 2001, pp. 29-43.
http://dx.doi.org/10.1142/S0219091501000309
[8]  F. X. Diebold, G. D. Rudebusch and S. B. Aruoba, “The Macroeconomy and the Yield Curve: A Dynamic Latent Factor Approach,” Journal of Econometrics, Vol. 131, No. 1, 2006, pp. 309-338.
http://dx.doi.org/10.1016/j.jeconom.2005.01.011
[9]  F. X. Diebold and C. Li, “Forecasting the Term Structure of Government Bond Yields,” Journal of Econometrics, Vol. 130, No. 2, 2006, pp. 337-364.
http://dx.doi.org/10.1016/j.jeconom.2005.03.005
[10]  C. R. Nelson and A. F. Siegel, “Parsimonious Modeling of Yield Curves,” The Journal of Business, Vol. 60, No. 4, 1987, pp. 473-489. http://dx.doi.org/10.1086/296409

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133