Abstract

We investigate the stationarity of the daily real stock prices in 12 Asia-Pacific countries over the period 1991–2020. The methodology employed is driven by the need to address three key concerns: (i) the identification of association between the size of shocks and stationarity; (ii) the identification of different speeds of adjustment towards long-run equilibrium; and (iii) the identification of mean reversion and potential asymmetric speed of adjustment before and after the 2008–2009 global financial crisis. To meet these concerns, we examine the time series properties of high frequency data within a quantile unit root testing framework. Our results generally indicate that stock prices are stationary at the higher quantiles. There is also evidence of asymmetries in stock price dynamic adjustments at the upper quantiles, in which larger shocks are associated with faster mean reversion, and conversely, smaller shocks are associated with non-stationarity. Further analysis indicates that stock prices became much more mean reverting and with a faster speed of adjustment after the global financial crisis for all sample countries.

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