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We examine the performance of various types of technical trading rules in the emerging Cyprus Stock Market (CSE). Furthermore, we examine the predictability of daily returns for the CSE with respect to the extent that the technical analysis method of moving averages can win the buy-and-hold policy. Also, we further our analysis via the bootstrap methodology under the model of EGARCH. This study becomes necessary given the important changes, which Cyprus is going through since joining the European Union on May 1 May 2004 and as it is preparing for the adoption of the Euro as its currency.

AbstractMany studies have associated cryptocurrencies with bubbles, especially during stressed market conditions such as the recent outbreak of the second wave of COVID‐19. Although the majority of studies have focused on Bitcoin, we investigate the predictability of bubble formation in the cryptocurrency market by using the log‐periodic power law and we uncover some important stylized facts of this market. Our sample consists of data for a selection of 15 cryptocurrencies for the period between 1 January 2021 and 1 September 2021 which coincides with the second wave of COVID‐19. We analyse 86 speculative bubbles, and we find that the cryptocurrency market has three times higher drawdown over equities during stressed market conditions.