Is Stock Price Volatility A Risk? : An Evaluation Review

Qammar, Rabia; Zain-Ul-Abidin, Rana

Document Type : Review Article

Authors

Rabia Qammar ¹
Rana Zain-Ul-Abidin ²

¹ School of Economics, Finance and Banking, UUM, Malaysia

² School of Business management, UUM, Malaysia

Abstract

Price volatility presents the investor possibilities and opportunities to buy securities at cheap prices and then sell it when they are overpriced, resulting in a profit at the end of the day. Recently, the volatility has become more valuable aspect for investors. Investment risk and return is important for investors. Investors have risk averse nature, they concerned about the information flow of stock price volatility. This study aims to review the literature on stock price volatility significance and its measurements by different methods. This study provides the detail review of stock price volatility different types including historical, implied, intraday, and indices volatility. This study discusses various measurements of stock price volatility forecasting with the empirical findings. Efficient market hypothesis supports the changes in stock prices in prior literature. Some studies shows that volatility can be measured by standard deviation of investor’s stock return. The price volatility mostly determined by high, low and closing prices. It is found that forecasting volatility can be measured by different methods. The literature review suggests that GARCH and Parkinson formula is considered most reliable method to measure volatility. Parkinson is more reliable measurement because it has daily high and low stock prices.

Keywords

20.1001.1.23832126.2019.6.1.5.0

References

Adam, K., Marcet, A., & Nicolini, J. P. (2016). Stock market volatility and learning. The Journal of Finance, 71(1), 33-82.

Alrjoub, A. M. S., & Alrabba, H. M. (2018). The effect of dividend policy on stock price volatility: empirical evidence from Amman stock exchange. Academy of Accounting and Financial Studies Journal, 22(2).

Andersen, T. G., & Bollerslev, T. (1997). Heterogeneous information arrivals and return volatility dynamics: Uncovering the long‐run in high frequency returns. The Journal of Finance, 52(3), 975-1005.

Antoniou, A., & Holmes, P. (1995). Futures trading, information and spot price volatility: evidence for the FTSE-100 stock index futures contract using GARCH. Journal of Banking & Finance, 19(1), 117-129.

Arthur, W. B. (2018). Asset pricing under endogenous expectations in an artificial stock market. In The economy as an evolving complex system II, 31-60.

Barberis, N., Greenwood, R., Jin, L., & Shleifer, A. (2015). X-CAPM: An extrapolative capital asset pricing model. Journal of Financial Economics, 115(1), 1-24.

Beaver, W., Kettler, P., & Scholes, M. (1970). The association between market determined and accounting determined risk measures. The Accounting Review, 45(4), 654-682.

Bollerslev, T. (1986). Generalized autoregressive conditional heteroskedasticity. Journal of econometrics, 31(3), 307-327.

Campbell, J. Y., & Shiller, R. J. (1988). Stock prices, earnings, and expected dividends. The Journal of Finance, 43(3), 661-676.

Carceles-Poveda, E., & Giannitsarou, C. (2008). Asset pricing with adaptive learning. Review of Economic dynamics, 11(3), 629-651.

Chiou, J. S., & Lee, Y. H. (2009). Jump dynamics and volatility: Oil and the stock markets. Energy, 34(6), 788-796.

Deng, Y., Liu, X., & Wei, S. J. (2018). One fundamental and two taxes: When does a Tobin tax reduce financial price volatility?. Journal of Financial Economics.

Dewasiri, N. J., & Banda, Y. W. (2015). Dividend Policy and Stock Price Volatility: An Error Corrected Approach. Asia-Pacific Journal of Management Research and Innovation, 11(3), 165-171.

Engle, R. F., & Patton, A. J. (2016). What good is a volatility model?. In Forecasting Volatility in the Financial Markets (Third Edition), 47-63.

Fama, E. F. (1991). Efficient capital markets: II. The Journal of Finance, 46(5), 1575-1617.

Fama, E. F. (2017). The Fama Portfolio: Selected Papers of Eugene F. Fama. University of Chicago Press.

Fama, E. F., & French, K. R. (2004). The capital asset pricing model: Theory and evidence. Journal of Economic Perspectives, 18(3), 25-46.

Fama, E. F., & MacBeth, J. D. (1973). Risk, return, and equilibrium: Empirical tests. Journal of Political Economy, 81(3), 607-636.

Garleanu, N., & Pedersen, L. H. (2018). Efficiently inefficient markets for assets and asset management. The Journal of Finance, 73(4), 1663-1712.

Hussainey, K., Oscar Mgbame, C., & Chijoke-Mgbame, A. M. (2011). Dividend policy and share price volatility: UK evidence. The Journal of Risk Finance, 12(1), 57-68.

Jurado, K., Ludvigson, S. C., & Ng, S. (2015). Measuring uncertainty. American Economic Review, 105(3), 1177-1216.

Koudijs, P. (2016). The boats that did not sail: Asset price volatility in a natural experiment. The Journal of Finance, 71(3), 1185-1226.

Kramer, J., & Chen, J. (2010). Title of the Article. Journal Name, 110-313.

Kristjanpoller, W., & Minutolo, M. C. (2015). Gold price volatility: A forecasting approach using the Artificial Neural Network–GARCH model. Expert Systems with Applications, 42(20), 7245-7251.

Malkiel, B. G., & Fama, E. F. (1970). Efficient capital markets: A review of theory and empirical work. The Journal of Finance, 25(2), 383-417.

Melvin, M., & Yin, X. (2000). Public information arrival, exchange rate volatility, and quote frequency. The Economic Journal, 110(465), 644-661.

Padmakumari, L., & Maheswaran, S. (2017). A new statistic to capture the level dependence in stock price volatility. The Quarterly Review of Economics and Finance, 65, 355-362.

Panda, P., & Deo, M. (2014). Asymmetric cross-market volatility spillovers: evidence from Indian equity and foreign exchange markets. Decision, 41(3), 261-270.

Rady, D. A. M. (2012). Greece debt crisis: Causes, implications and policy options. Academy of Accounting and Financial Studies Journal, 16, 87.

Schwert, G. W. (1989). Why does stock market volatility change over time?. The Journal of Finance, 44(5), 1115-1153.

Sen, S., Singh, B. M., & Mazumder, S. (2017). Efficient Market Hypothesis: A Study on Indian Capital Market. Research Bulletin, 42(4), 69-79.

Sumathi, D., & Maheswari, M. U. (2017). Stock Price Volatility in NSE Indices: Post Finance Crisis. International Journal of Research in Finance and Marketing, 7(5), 78-87.

Tang, H., & Xu, X. E. (2013). Solving the return deviation conundrum of leveraged exchange-traded funds. Journal of Financial and Quantitative Analysis, 48(1), 309-342.

Watson, J., Taylor, A., Haffman, T., Jorge, A., Sulivan, B., Chung, D., et al. (2009). Title of the Book. New York: Publisher.

Zainudin, R., Mahdzan, N. S., & Yet, C. H. (2018). Dividend policy and stock price volatility of industrial products firms in Malaysia. International Journal of Emerging Markets, 13(1), 203-217.

International Journal of Management, Accounting and Economics

Is Stock Price Volatility A Risk? : An Evaluation Review

References

References

Volume 6, Issue 1 - Serial Number 54
January 2019
Pages 80-87

Is Stock Price Volatility A Risk? : An Evaluation Review

References

References

Volume 6, Issue 1 - Serial Number 54January 2019Pages 80-87

Volume 6, Issue 1 - Serial Number 54
January 2019
Pages 80-87