This study proposes a new measure and test of herding which is based on the crosssectional dispersion of factor sensitivity of assets within a given market. This new measure enables us to evaluate the directions towards which the market may be herding and separate these from movements in fundamentals. We apply the test to an analysis of the US, UK, and South Korean stock markets and somewhat su...

This study examines the relationships between the herding of various investor groups and trading noise in the Taiwan stock market to determine whether any of the investor groups tend to herd rationally. The study uses a unique and comprehensive data set on intraday transactions and limit order books of the Taiwan Stock Exchange (TWSE). We calculate the high-frequency herding measures and tradin...

Maximum likelihood learning in Markov Random Fields (MRFs) with multiple layers of hidden units is typically performed using contrastive divergence or one of its variants. After learning, samples from the model are generally used to estimate expectations under the model distribution. Recently, Welling proposed a new approach to working with MRFs with a single layer of hidden units. The approach...

The paper develops a connection between traditional perceptron algorithms and recently introduced herding algorithms. It is shown that both algorithms can be viewed as an application of the perceptron cycling theorem. This connection strengthens some herding results and suggests new (supervised) herding algorithms that, like CRFs or discriminative RBMs, make predictions by conditioning on the i...

This paper examines the structural change of mutual fund herding in china stock market,an important investment behavior of institutional investors. A self-normalization based KolmogorovSmirnov test is employed to test the change point of herding from 2002 to 2011, the results suggest that there really be structural change points in mutual fund herding. The mutual fund herding changed at Decembe...

a r t i c l e i n f o Using high frequency intraday data, this paper investigates the herding behavior of institutional and individual investors in the Taiwan stock market. The study finds evidence of herding by both investors but a stronger herding tendency among institutional than among individual investors. Institutional investors herd more on firms with small capitalizations and lower turno...

We undertook the first market trading experiments that allowed heterogeneously informed subjects to trade in endogenous time, collecting over 2000 observed trades. Subjects’ decisions were generally in line with the predictions of exogenous-time financial herding theory when that theory is adjusted to allow rational informational herding and contrarianism. While herding and contrarianism did no...

We show that the herding procedure of Welling (2009b) takes exactly the form of a standard convex optimization algorithm— namely a conditional gradient algorithm minimizing a quadratic moment discrepancy. This link enables us to invoke convergence results from convex optimization and to consider faster alternatives for the task of approximating integrals in a reproducing kernel Hilbert space. W...

This paper investigates whether Japanese banks had been following herd behavior in the domestic loan market from 1975 through 2002. Applying the technique developed by Lakonishok, Shleifer, and Vishny (LSV) (1992, J. of Fin. Econ.) to the data of loans outstanding to different types of borrowers, we obtain evidence indicative of the existence of herding. Consistent herding during the entire sam...

Online shopping often requires consumers to choose among multiple products without detailed information about the quality. Herding is common in situations where consumers infer product quality from other consumers’ choices and incorporate that information into their own decision-making process. The Internet affects the herding phenomenon in two ways. On the one hand, it provides more informatio...