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ISSN : 1738-3110
The Price of Risk in the Korean Stock Distribution Market after the Global Financial Crisis
Liu, Won-Suk
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Abstract
Purpose - The purpose of this study is to investigate risk price implied from the pricing kernel of Korean stock distribution market. Recently, it is considered that the quantitative easing programs of major developed countries are contributing to a reduction in global uncertainty caused by the 2007~2009 financial crisis. If true, the risk premium as compensation for global systemic risk or economic uncertainty should show a decrease. We examine whether the risk price in the Korean stock distribution market has declined in recent years, and attempt to provide practical implications for investors to manage their portfolios more efficiently, as well as academic implications. Research design, data and methodology - To estimate the risk price, we adopt a non-parametric method; the minimum norm pricing kernel method under the LOP (Law of One Price) constraint. For the estimation, we use 17 industry sorted portfolios provided by the KRX (Korea Exchange). Additionally, the monthly returns of the 17 industry sorted portfolios, from July 2000 to June 2014, are utilized as data samples. We set 120 months (10 years) as the estimation window, and estimate the risk prices from July 2010 to June 2014 by month. Moreover, we analyze correlation between any of the two industry portfolios within the 17 industry portfolios to suggest further economic implications of the risk price we estimate. Results - According to our results, the risk price in the Korean stock distribution market shows a decline over the period of July 2010 to June 2014 with statistical significance. During the period of the declining risk price, the average correlation level between any of the two industry portfolios also shows a decrease, whereas the standard deviation of the average correlation shows an increase. The results imply that the amount of systematic risk in the Korea stock distribution market has decreased, whereas the amount of industry-specific risk has increased. It is one of the well known empirical results that correlation and uncertainty are positively correlated, therefore, the declining correlation may be the result of decreased global economic uncertainty. Meanwhile, less asset correlation enables investors to build portfolios with less systematic risk, therefore the investors require lower risk premiums for the efficient portfolio, resulting in the declining risk price. Conclusions - Our results may provide evidence of reduction in global systemic risk or economic uncertainty in the Korean stock distribution market. However, to defend the argument, further analysis should be done. For instance, the change of global uncertainty could be measured with funding costs in the global money market; subsequently, the relation between global uncertainty and the price of risk might be directly observable. In addition, as time goes by, observations of the risk price could be extended, enabling us to confirm the relation between the global uncertainty and the effect of quantitative easing. These topics are beyond our scope here, therefore we reserve them for future research.
- keywords
- Stock Distribution, Risk Price, Pricing Kernel, Global Uncertainty, Quantitative Easing
Reference
Ahn, D. H., Conrad, J., & Dittmar, R. F. (2003). Risk adjustment and trading strategies. Review of Financial Studies, 16(2), 459-485.
Breeden, D. T. (1979). An intertemporal asset pricing model with stochastic consumption and investment opportunities. Journal of Financial Economics, 7(3), 265-296.
Chen, Z., & Knez, P. J. (1996). Portfolio performance measurement:Theory and applications. Review of Financial Studies, 9(2), 511-555.
Chimucheka, T. (2013). Obstacles to Accessing Finance by Small Business Operators in the Buffalo City Metropolitan Municipality. East Asian Journal of Business Management, 3(2), 23-29.
Cochrane, J. (2005). Financial markets and the real economy (No. Working Paper 11193). National Bureau of Economic Research.
Dybvig, P. H., & Ross, S. A. (1985). Differential information and performance measurement using a security market line. Journal of Finance, 40(2), 383-399.
Go, Y. H., & Lau, W. Y. (2014). Asymmetric Information Spillovers between Trading Volume and Price Changes in Malaysian Futures Market. Journal of Asian Finance, Economics and Business, 1(3), 5-16.
Hansen, L. P., & Jagannathan, R. (1991). Implications of Security Market Data for Models of Dynamic Economies. Journal of Political Economy, 225-262.
Hansen, L. P., & Jagannathan, R. (1997). Assessing specification errors in stochastic discount factor models. Journal of Finance, 52(2), 557-590.
Hansen, L. P., & Richard, S. F. (1987). The role of conditioning information in deducing testable restrictions implied by dynamic asset pricing models. Econometrica: Journal of the Econometric Society, 587-613.
Harrison, J. M., & Kreps, D. M. (1979). Martingales and arbitrage in multiperiod securities markets. Journal of Economic Theory, 20(3), 381-408.
Ho, L. C. (2013). Relationship Between Stock Price Indices of Abu Dhabi, Jordan, and USA-Evidence from the Panel Threshold Regression Model. International Journal of Industrial Distribution & Business, 4(2), 13-19.
Lee, J. W., & Zhao, T. F. (2014). Dynamic Relationship between Stock Prices and Exchange Rates: Evidence from Chinese Stock Markets. Journal of Asian Finance, Economics and Business, 1(1), 5-14.
Lucas Jr, R. E. (1978). Asset prices in an exchange economy. Econometrica: Journal of the Econometric Society, 1429-1445.
Markowitz, H. (1952). Portfolio selection*. Journal of Finance, 7(1), 77-91.
Markowitz, H. (1959). Portfolio selection: efficient diversification of investments. 1959. Basil Blackwall, New York.
Newey, W. K., & West, K. D. (1987). Hypothesis testing with efficient method of moments estimation. International Economic Review, 28, 777-787.
Roll, R. (1978). Ambiguity when performance is measured by the securities market line. Journal of Finance, 33(4), 1051-1069.
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