Purpose This study investigates the role of cryptocurrencies in enhancing the performance of portfolios constructed from traditional asset classes. Using a long sample period covering not only the large value increases but also the dramatic declines during the beginning of 2018, the purpose of this paper is to provide a more complete analysis of the dynamic nature of cryptocurrencies as individual investment opportunities, and as components of optimal portfolios. Design/methodology/approach The mean-variance optimization technique of Merton (1990) is applied to develop the risk and return characteristics of the efficient portfolios, along with the optimal weights of the asset class components in the portfolios. Findings The authors provide evidence that as a single investment, the best cryptocurrency is Ripple, followed by Bitcoin and Litecoin. Furthermore, cryptocurrencies have a useful role in the optimal portfolio construction and in investments, in addition to their original purposes for which they were created. Bitcoin is the best cryptocurrency enhancing the characteristics of the optimal portfolio. Ripple and Litecoin follow in terms of their usefulness in an optimal portfolio as single cryptocurrencies. Including all these cryptocurrencies in a portfolio generates the best (most optimal) results. Contributions of the cryptocurrencies to the optimal portfolio evolve over time. Therefore, the results and conclusions of this study have no guarantee for continuation in an exact manner in the future. However, the increasing popularity and the unique characteristics of cryptocurrencies will assist their future presence in investment portfolios. Originality/value This is one of the first studies that examine the role of popular cryptocurrencies in enhancing a portfolio composed of traditional asset classes. The sample period is the largest that has been used in this strand of the literature, and allows to compare optimal portfolios in early/recent subsamples, and during the pre-/post-cryptocurrency crisis periods.

We provide novel evidence on gender differences in insider-trading behavior and the profitability of senior corporate executives. On average, both female and male executives make positive profits from insider trading. Males, however, earn significantly more than females in equivalent positions and also trade more than females. These gender differences disappear when we limit the sample to firms in which female trading is relatively high. Collectively, these results suggest that female executives have a disadvantage relative to males in access to inside information, even if they have equal formal status, and informal networks may play an important role in attenuating this disadvantage.

We re-examine the relation between stock returns and exchange rate changes in five major European countries (France, Germany, Italy, Switzerland, and the UK), the USA, Canada, and Japan by taking into account dynamic effects, including lagged changes of variables, and employing causal relations. We find that lagged exchange rates have a significant impact on stock returns. We find evidence of Granger causality from exchange rate changes to stock returns, and also for the reverse direction. Furthermore, the dynamic relation has been more significant and stronger in recent years and recession periods than in early periods and expansion periods.

No abstract

No abstract