A great proportion of stock dynamics can be explained using publicly available information. The relationship between dynamics and public information may be of nonlinear character. In this paper we offer an approach to stock picking by employing so-called decision trees and applying them to XETRA...

Based on a new approach for measuring the comovements between stock market returns, we provide a nonparametric test for asymmetric comovements in the sense that stock market downturns will lead to stronger comovements than market upturns. The test is used to detect whether asymmetric comovements...

We characterize asset return linkages during periods of stress by an extremal dependence measure. Contrary to correlation analysis, this nonparametric measure is not predisposed toward the normal distribution and can allow for nonlinear relationships. Our estimates for the G-5 countries suggest...

This paper examines non-linear dependence in Indian stock returns using a set of non-linearity tests. The daily data between 1997 and 2009 for eight indices from National Stock Exchange (NSE) and six indices from Bombay Stock Exchange (BSE) are used. The results suggest strong evidence of...

This paper evaluates if sentiment extracted from social media and options volume anticipates future asset return. Using both textual based data and a particular market data derived call-put ratio, between July 2009 and September 2012, this research shows that: 1) features derived from market...

This paper proposes a cluster HAR-type model that adopts the hierarchical clustering technique to form the cascade of heterogeneous volatility components. In contrast to the conventional HAR-type models, the proposed cluster models are based on the relevant lagged volatilities selected by the...

This paper studies the joint dynamics of momentum and reversal strategies in the U.S. stock market. Momentum investors face uncertainty about whether past patterns of price movements will continue (momentum) or reverse, thereby increasing volatilities of momentum returns and occasionally leading...

This paper examines the impact of COVID-19 on bank stock returns over various time scales and frequencies. Considering FTSE banking sector returns in 36 countries, wavelet coherency analysis indicates that the number of confirmed COVID-19 cases negatively impacts bank stock returns during...

Purpose The paper examines the impact of COVID-19 on bank stock returns over various time scales and frequencies for 36 countries. Moreover, the authors look at the governments' responses to the corona crisis and examine its impact on bank stock returns. Design/methodology/approach: The paper...

This study fits 22 theoretical distribution functions, four of them originally derived, onto 772 cryptocurrency daily returns with goodness-of-fit evaluated using Cramer-von Mises, Anderson-Darling, Kuiper, Kolmogorov-Smirnov, and Chi-squared tests, as well as a harmonic mean p-value synthetic...