In this paper we analyze the interrelatedness of security analysis and market-making activities. Our results indicate that there exists a bidirectional and positive relation between analyst following and the number of market makers. Using detailed data on analyst and dealer affiliations, we also find that dealers are more likely to make markets in stocks that are tracked by analysts who are affiliated with the same company. Similarly, analysts follow and issue earnings forecasts more proactively for stocks that are handled by affiliated market makers. We interpret these results as evidence that analysts and market makers work as a team to benefit the company. We discuss a possible conflict of interest between investors and brokerage firms that arises from this collaborative endeavor between analysts and dealers.

In this study we examine the temporal dynamics of dealer market share and their ramification for competition and trading costs using a large sample of NASDAQ securities. Our results show that although the total market share of the top five dealers is relatively stable over time, there is significant monthly variation in the composition of the top five dealers. We show that market share turbulence among top dealers is another form of competition that narrows bid–ask spreads, especially for stocks with less competitive market structure.

In this study we show that both the price impact of trades and serial correlation in trade direction are positively and significantly related to the probability of information-based trading (PIN). The positive relation remains significant even after controlling for the effects of stock attributes. Higher trading activity (i.e., shorter intervals between trades) induces both larger price impact and stronger positive serial correlation in trade direction. The effect of time interval between trades on quote revision is stronger for stocks with higher PIN values. These results provide direct empirical support for the information models of trade and quote revision.