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Shaikh A. Hamid, Tej S. Dhakar: Anamolous Behavior of the Volatility of Nasdaq
                                                        Composite Index: 1971 To 2017

                    V.  SUMMARY AND CONCLUSION

                    We have explored if for the NASDAQ Composite Index the mean of absolute percent
                    changes of a month is significantly different from the mean percent changes of other
                    eleven months stacked, and if the variance of the monthly absolute percent changes
                    for a month was significantly different from the variance of the other eleven months
                    stacked. In other words, we explore if there was seasonality in terms of mean and
                    variance.  If  the  NASDAQ  stocks  are  fairly  efficiently  priced  there  should  not  be
                    seasonality in terms of mean or volatility. The mean of absolute percent changes of
                    every month for the entire data set and for each of the three sub-periods is significantly
                    greater than zero. For the entire data set there is no seasonality in terms of mean of
                    absolute percent changes: the mean of absolute changes was not different from the
                    mean of absolute changes of the other eleven months stacked. We find seasonality
                    with respect to volatility for four months. Seasonality in terms of mean is exhibited
                    only in the case of one month (June) in the first sub-period. Seasonality in terms of
                    volatility is exhibited in all three sub-periods, most pronounced in the first and third
                    sub-periods (seven months in each case) and exhibited by one month in the second
                    sub-period.

                    So it appears that the NASDAQ market has not become more volatile in recent times.
                    The  market  appears  to  be  fairly  efficient  –  though  not  highly.  Also,  seasonality
                    changes over time which is the characteristic of stock markets that are nonstationary.
                    Seasonality is not so pronounced in terms of mean of absolute changes but more so in
                    terms of volatility of the absolute changes, as a market consisting of tech-stocks and
                    smaller stocks should be. The findings and conclusions of the study will be of interest
                    to those who invest in the stock markets, those who study the behavior of the stock
                    markets, and to economics and finance professionals in general.

                    REFERENCES
                    Berument, Hakan and Halil Klymaz. (2001). The day of the week effect on stock
                    market volatility. Journal of Economics and Finance, Summer, Vol. 25 Issue 2, 181-
                    192.

                    Chien, Chin-Chen, Cheng-few Lee and Andrew M. L. Wang, 2002, A note on stock
                    market seasonality: The impact of stock price volatility on the application of dummy
                    variable regression model. The Quarterly Review of Economics and Finance, 42, 155-
                    162.

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