Price clustering and optimal tick sizes have recently been topics of substantial public policy interest, and this paper presents evidence which is relevant to both debates. Around 98% of quoted and traded prices for LIFFE stock index derivatives are found to occur at even ticks. We report that clustering increases with volatility and transaction frequency, and decreases with trade size, and find that the proportion of odd ticks is significantly lower near the market open and higher near the close. Further, an inverse relationship is reported between bid–ask spreads and the number of odd ticks, and spreads cluster at even-tick values. This evidence of extreme price clustering is the first to be presented for financial derivatives. The results support both the price resolution and the negotiation hypotheses of price clustering.

We firmly believe that style-appropriate, investible benchmarks not only provide a more parsimonious way of describing manager performance, but also better aligns performance evaluation with the real world performance targets of fund managers’. It is against such benchmarks that managers should be judged. With this principle foremost in our approach, we use style-consistent benchmarks to determine whether any observed alpha produced by a sample of U.S. equity funds is due to skill or to luck. We find that different segments of the market, ranging from large-cap growth to small-cap value, exhibit different levels of skill and luck. Our results also show that the use of standard multi-factor models underestimates managerial ability and overstates the proportion of funds whose abnormal performance can be attributed to chance rather than to skill, when compared against the use of style-consistent practitioner benchmarks. We also find that a single factor performance evaluation model that uses Russell Style indices consistent with the style orientation of a fund and market practice provides a parsimonious way of accounting for fund performance. Finally, our findings should be of particular relevance in mutual fund markets where the risk factors commonly used in the academic literature to evaluate manager performance – SMB, B/M, MOM and others – are not readily available.

What drives bankers to create larger and larger, often multinational banking groups? In this paper we investigate whether the targets in cross-border bank M&As are materially different from those banks targeted in domestic M&A deals. The main message of this paper is that, with few exceptions, domestic and foreign investors target similar banks. In particular, and contrary to what one might expect, bank size does not have a different effect on the probability of being a domestic or a cross-border target, instead it has a positive and highly significant effect in both cases. We find that the main differences between national and international M&As are the characteristics of the countries where the banks operate.