Empirical Investigation of the Nature of Returns of Stock Prices of three Prominent South Asian Markets using Parametric and Non Parametric Techniques
Published: 2018
Author(s) Name: Rakesh Shahani, Kaamil Chopra and Ramit Vazirani |
Author(s) Affiliation: Ph.D., Associate Prof. (Business Economics), Dr. Bhim Rao Ambedkar College, Univ. of Delhi, Delhi.
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Abstract
The present study makes an attempt to test
whether the returns of the three major indices of
the prominent South Asian Markets namely BSE
Sensex, CSE ASPI and Pakistan KSE 100 follow
aStationary Process.The month wise closing data
has been collected for the above indices and period
of the study is eleven years, April 1, 2005 –March
31, 2016, The data has been log transformed to
first difference (ln.Pt - ln. Pt-1 )and all the tests
have been applied on log transformed data.Both
Parametric and Non Parametric tests have been
employed for testing the hypothesis of Stationarity.
The parametric tests include Augmented Dickey
Fuller test which has been traditionally used for
checking the non-random character of time series,
Dickey Fuller Generalized Least Squares (DF GLS
of Elliott, Rothenberg, and Stock (1996) test,Box
Pierce(1970) ‘Q’ statistics, & Variance Ratio
technique of Lo and Mac Kinlay(1988). The nonparametric
tests include turning point test, the
difference of the runs test & KPSS(1992)test. The
hypothesis has also been tested graphically using
autocorrelation and partial autocorrelation
techniques The variance ratio tests for randomness
is applied first by assuming homoscedasticity or
constant variance, & later by making it robust after
incorporating heteroscedasticity in time series. The results of our study as revealed by parametric
tests (ADF, ‘Q’ Statistics & Lo and Mac Kinlay
Variance Ratio tests) confirm that the returns of,
CSE ASPI is stationary, KSE is found to be
stationary in three out of four tests, while BSE
Sensex is stationary in only two of the four tests..
Coming to non-parametric results, runs test and
KPSS test support stationarity of returns of all our
indices. The present study shows that testing of
stock returns for stationarity using only one single
test is not at all conclusive &a good research must
combine two-three parametric and one-two non
parametric tests to get the satisfactory result w.r.t.
stationarity of a variable.
Keywords: Variance Ratio Test, Random Walk, Homoscedasticity, DF GLS test, South Asian Markets
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