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...

Market Stress and Herding* We propose a new approach to detecting and measuring herding which is based on the cross-sectional dispersion of the factor sensitivity of assets within a given market. This method enables us to evaluate if there is herding towards particular sectors or styles in the market including the market index itself and critically we can also separate such herding from common ...

A total of 12 diverse tomato genotypes as parents and their 32 hybrids, obtained through Line × tester mating fashion, were evaluated to observe the consequence different genetic parameters on yield contributing traits. The experiment was conducted during two consecutive years 2016-2017 2017-2018 winter seasons in a Randomized Complete Block Design (RCBD) with three replications. analysis varia...

We review the literature on return and cash flow growth predictability form the perspective of the present-value identity. We focus predominantly on recent work. Our emphasis is on U.S. aggregate stock return predictability, but we also discuss evidence from other asset classes and countries. JEL classification: G10, G12, G14, G35.

It is shown that the absence of call spread, butterfly spread and calendar spread arbitrages is sufficient to exclude all static arbitrages from a set of option price quotes across strikes and maturities on a single underlier.  2005 Elsevier Inc. All rights reserved. JEL classification: G10; G12; G13; G14

Abstract We illustrate the role of left tail dependence—left mean (LTM)—in equity risk premium (ERP) predictability. LTM measures average pairwise dependency among major sectors incorporating shocks imperceptible at aggregate level. LTM, as well variance premium, significantly predicts ERP in and out sample, which is not case with commonly used predictors. find this predictability result procyc...

This paper aims at improved accuracy in testing for long-run predictability in noisy series, such as stock market returns. Long-horizon regressions have previously been the dominant approach in this area. We suggest an alternative method that yields more accurate results. We find evidence of predictability in S&P 500 returns even when the confidence intervals are constructed using model-free me...

This study examines asymmetric and the lag effects of oil price, gas exchange rate on stock performance Malaysian sub-industries. Using company-level data multi factor asset pricing models, this found that rate, common systematic risk factors such as market, size, book-to-market have significant sub-industries, but these exposures remain heterogeneous. Oil price show strong asymmetrical impacts...

This paper tests whether traders react more strongly as a series of similar earnings surprises continues, as predicted by several important behavioral finance models. We compile measures of buying and selling from NYSE TAQ data for a large ten-year sample. Results show strong, consistent, evidence that small traders exhibit an increasing reaction – with significant increases in reaction strengt...