Journal of Finance and Accounting
Volume 2, Issue 1, January 2014, Pages: 1-10
Received: Jan. 3, 2014;
Published: Jan. 30, 2014
Views 3276 Downloads 138
Kalai Lamia, Graduate Institute of Business and Accounting of Bizerta, University of Carthage, University of Tunis El Manar, Faculty of economic Sciences and Management of Tunisia
Jilani Faouzi, Graduate Institute of Business and Accounting of Bizerta, University of Carthage, University of Tunis El Manar, Faculty of economic Sciences and Management of Tunisia
Time variations of market volatility considerably affect investments risk evaluation and prediction of future returns. They are presented as a source of systemic risk to which is added a risk related to stocks’ sensitivity to volatility shocks. Analysis of the relationship between stocks volatility and market volatility allows for determining whether stocks’ sensitivities to volatility shocks may estimate market’s future risk price. Volatility shocks are defined in terms of volatility risk hedging factors, when market volatility risk price is high and for stocks that are positively correlated to these hedging factors, the value of returns is expected to be low. Idiosyncratic volatility is on the other hand a variable omitted from volatility total risk. If market volatility risk is a missing component of systematic risk, standard models should mis-price portfolios sorted by idiosyncratic volatility because these models do not include factor loadings measuring exposure to market volatility risk.
A Study of Volatility Risk, Journal of Finance and Accounting.
Vol. 2, No. 1,
2014, pp. 1-10.
J. Campbell and Hentshel. L (1992), "No news is Good news: An asymmetric model of changing volatility in stock return", Journal of financial economics, vol 3, pp 281- 318
L. Glosten, R. Jagannathan and D. Runkle (1993), "On the relation between the expected value and the volatility of the nominal excess return on stock", Journal of fianance 48,5, pp 1779-1801.
A. Ang, R. Hodrick, X. Yuhang and Z. Xiaoyan (2004), "The cross section of volatility and expected returns", NBER working paper series.
C. Harvey and A. Siddique (2000), "Conditional skewness in asset pricing Tests", Journal of finance, vol 3, pp 1263- 1295.
E. Fama and K. French (1996), "Multifactor explanations of asset pricing anomalies", Journal of Finance, Vol 51, pp 55-84.
V. Huang, L. Qianqiu, S. Rhee and L. Zhang (2011), "Another Look at Idiosyncratic Volatility and Expected Returns", Journal Of Investment Management (JOIM), Fourth Quarter 2011.
V. Acharya , H. Almeida and M. Campello (2012) , "Aggregate Risk and the Choice between Cash and Lines of Credit" , CEPR Discussion Paper No. DP8913
R F. Stambaugh , J. Yu and Y. Yuan (2012), "Arbitrage Asymmetry and the Idiosyncratic Volatility Puzzle" NBER Working Paper No. w18560.
S.A. Anthonisz (2012), "Asset Pricing with Partial-Moments" ,Journal of Banking and Finance, Vol. 36, No. 7, pp 214-221.
D. Brown and M. Ferreira (2003), "The information in the idiosyncratic volatility of small firms", Working paper, University of Wisconsin-Madison.
E. Fama and J. MacBeth (1973), "Risk return and equilibrium: Empirical tests", Journal of political economy 71,607-636.
N. Jegadeesh and S. Titman (2001), "Profitability of momentum strategies: An evaluationof alternative explanations", Journal of Finance, Vol 56, pp 699-720
M. Rockinger and E. Jondeau (2000), "Conditional volatility, skewness and kurtosis: existence and persistence", Working paper
V. Torous, and Yan (2004), "On Predicting Stock Return whith nearly integrated explanatory variables, Journal of Business", Vol 77,pp 973-966.