This paper examines the evidence regarding predictability in the market risk premium using artificial neural networks (ANNs), namely the Elman Network (EN) and the Higher Order Neural network (HONN), univariate ARMA and exponential smoothing techniques, such as Single Exponential Smoothing (SES)...

The tonality of news reporting has been shown to have explanatory and predictive power for equity prices. Using a novel approach and data set, we demonstrate that the news sentiment effect also holds for US government bond duration. We construct a successful trading strategy for the US 10-year...

We investigate the price dynamics of large market-capitalization U.S. equity exchange-traded funds (ETFs) in order to uncover trader motivations and strategy. We show that prices of highly liquid ETFs can deviate significantly from their daily net asset values. By adjusting for changes in...

In this study, we apply new sentiment variables and examine dynamic connectedness among major market indices in Europe and that of USA. By doing this, we use the GARCH-MIDAS model and its extensions to provide new insights on the impact of behavioural biases on asset prices. Specifically, we...

The main aim of this paper is to verify the dynamic interdependence and transmission of volatility from the American (SP500) to the Brazilian stock market (IBOVESPA and sectoral indexes). Estimates were performed by GARCH/BEKK methodology, considering the period from January 2007 to December...

This paper investigates the information content of some accounting variables and degree of their association with risk and return by residual income model in Tehran stock exchange (TSE). In order to determine risk factors, we use Fama and French (1992) three-factor Model. The first contribution...

Prior studies find broad-based support for the efficacy of trading strategies based on momentum in stock returns. More recent studies, however, note a declining benefit relative to that identified in seminal studies on momentum. These recent studies, however, primarily examine time periods...

This paper examines the existence of round number price barriers in the U.S. stock market. I show that stock prices clusters around multiples of $10 as a result of the price barriers. The price barriers results in abnormal future return pattern; a long-short portfolio formed around the barrier...

We present an econometric framework that estimate conjoined ‘fixed effect' components to analyze the presidential puzzle, by separating party policy impact on the stock market from each president ability. Our methodology enable us to examine what drives the higher excess return under...

We implement a novel approach to derive investor sentiment from messages posted on social media before we explore the relation between online investor sentiment and intraday stock returns. Using an extensive dataset of messages posted on the microblogging platform StockTwits, we construct a...