This article develops and implements a new test to investigate whether sell-side analysts herd around the consensus when they make stock recommendations. Our empirical results support the herding hypothesis. Stock price reactions following recommendation revisions are stronger when the new...

Among growing concerns about potential financial stability risks posed by the asset management industry, herding has been considered as an important risk amplification channel. In this paper, we examine the extent to which institutional investors herd in their trading of U.S. corporate bonds and...

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...

This paper uses unique data on the shareholdings of both institutional and individual investors to directly investigate whether institutional investors have better stock selection ability than individual investors in China. Controlling for other factors, we find that institutional investors...

In this study, we investigate the significance of supply-chain relationships for institutional investors. We find that supply-chain relationships are an important determinant of institutional ownership – an institution that owns a customer firm is five times more likely than other institutions...

I study how investor horizons affect the price reaction of the stocks to earnings announcements. In the theory, short-run investors trade frequently, while long-run traders hold and trade on fundamentals. The model predicts that the reaction to an earnings announcement is shifted downward for...

Exchange Traded Funds (ETFs) – tradeable investments that provide a return linked to an underlying index or basket of assets – are likely the most successful financial product since the 2008 crisis. Over the last decade they've experienced remarkable growth. Yet these products may also be...

Using machine learning methods, we develop a new measure of aggregate analyst sentiment. We first train analyst-specific neural network (NN) models that capture each analyst's common biases across firms. Using NN model outputs, we decompose the forecast errors of individual analysts into...

We document that institutional herding behavior is associated with analyst target price revisions even after controlling for the effects of analyst recommendations and earnings forecasts, and provide insights into the price impact of institutional herding. Institutional investors tend to buy the...

We investigate a unique dataset of Chinese IPOs from 2009 to 2012. First, we find that institutional investors who participate in multiple IPOs on a single day suffer from limited attention and submit less accurate bids. Second, we form several proxies for investor attention capacity and show...