Quantitative research analysts (Quants) produce in-depth quantitative and econometric modeling of market anomalies to assist sell-side analysts and institutional clients with stock selection strategies. Quants are associated with more efficient analyst forecasting behavior on anomaly predictors...

Using a novel database, we show that the stock-price impact of analyst trade ideas is at least as large as the impact of stock recommendation, target price, and earnings forecast changes, and that investors following trade ideas can earn significant abnormal returns. Trade ideas triggered by...

A világ tőkepiacain zajló koncentrációs folyamat során egyre jobban érezhető a tőzsdék élesedő versenye. Ez megmutatkozik a kibocsátókért, a tőzsdetagokért folytatott versenyfutásban, valamint a kereskedési rendszerek hatékonyságra és rugalmasságra törekvésében. Ezért...

This paper provides primary evidence of whether certification via reputable underwriters is beneficial to investors in the corporate bond market. We focus on the high-yield bond market, in which certification of issuer quality is most valuable to investors owing to low liquidity and issuing...

In this paper, we analyze how large institutions differ from other investors and the implications that these differences have for stock returns, market liquidity, and corporate governance. We find that large institutional investors -- a category including all managers with greater than $100...

This paper examines whether analysts resident in a country make more precise earnings forecasts for firms in that country than analysts who are not resident in that country. Using a sample of 32 countries, we find that there is an economically and statistically significant analyst local...

We cross-sectionally analyze the presence of aggregated hidden depth and trade volume in the S&P 500 and identify its key determinants. We find that the spread is the main predictor for a stock’s hidden dimension, both in terms of traded and posted liquidity. Our findings moreover suggest that...

In this paper, we analyze the economic value of predicting stock index returns as well as volatility. On the basis of simple linear models, estimated recursively, we produce genuine out-of-sample forecasts for the return on the S&P 500 index and its volatility. Using monthly data from 1954 to...

Whether lower stock price synchronicity reflects information or noise does not have a conclusive answer yet. From the perspective of analyst following in China, our empirical study reveals that, the stock price synchronicity which star analysts following is lower than that of non-star analysts,...

Both institutional and individual investors have a vast array of advisory and ratings services to assist with security selection. One of the most prominent sources of stock ratings is Morningstar. This is the first large-scale study evaluating the performance of portfolios formed using...