2014
DOI: 10.19030/jabr.v30i3.8550
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Testing Weak-Form Market Efficiency On The TSX

Abstract: <p>This study tests the validity of the weak-form EMH on the Canadian TSX equity market using seven TSX daily index returns. Quantitatively, a variety of statistical tests is used to test for the randomness of return series. Results of the common statistical (i.e., the autocorrelation, the BG, the runs) tests all suggest that returns are serially correlated, except returns on the TSX 60 capped index. After rejecting the RWM of TSX indices using univariate unit root (i.e., ADF, PP, KPSS), we proceed to te… Show more

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Cited by 9 publications
(9 citation statements)
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“…Where: : return in period t, : natural logarithm, : close price of stocks or index in period t, −1 : close price of stocks or index in period t-1. Based on Shiller and Radikoko (2014), natural logarithm is utilized so that the return values are more likely to be distributed normally and to dismiss parts of linear dependency between the current and the past return.…”
Section: Methodsmentioning
confidence: 99%
“…Where: : return in period t, : natural logarithm, : close price of stocks or index in period t, −1 : close price of stocks or index in period t-1. Based on Shiller and Radikoko (2014), natural logarithm is utilized so that the return values are more likely to be distributed normally and to dismiss parts of linear dependency between the current and the past return.…”
Section: Methodsmentioning
confidence: 99%
“…The results indicated that the stationarity levels change depending on the regional and economic development levels. Shiller and Radikoko (2014) used parametric and non-parametric tests in addition to univariate unit root tests through daily profits of seven indexes in their study where they analysed the market efficiency in Canada Exchange market. Accordingly, the RWH was rejected and it was concluded that the market is not efficient in weak-form and market profits can be predictable.…”
Section: Literature Reviewmentioning
confidence: 99%
“…The present study has run the BDS test on filtered residuals series, which are extracted by running a second order autoregression (AR) Equation (2). The only motive behind running AR (2) is to remove the linear structure that exists in the return series in order to improve the validity of the results (Shiller & Radikoko, 2014). The hypotheses under the BDS test are:…”
Section: Bds Test For Randomnessmentioning
confidence: 99%