In this paper, I document that investor attention negatively predicts betting against beta returns. Using Google Search Volumes toward US market indices as my proxy to attention, I find that this relation holds after controlling for competitive factors and different search terminologies and in...

Beta-sorted portfolios-portfolios comprised of assets with similar covariation to selected risk factors-are a popular tool in empirical finance to analyze models of (conditional) expected returns. Despite their widespread use, little is known of their econometric properties in contrast to...

Betas from return regressions are commonly used to measure systematic financial market risks. "Good" beta measurements are essential for a range of empirical inquiries in finance and macroeconomics. We introduce a novel econometric framework for the nonparametric estimation of time-varying betas...

High frequency regression has received more and more attention recent years. This is the first paper about detecting the change points in the beta process of high frequency regression. As an intermediate modelling approach between the constant beta and continuous beta process, this paper employs...

Using the capital asset pricing model, this article critically assesses the relative importance of computing 'realized' betas from high-frequency returns for Bitcoin and Ethereum-the two major cryptocurrencies-against their classic counterparts using the 1-day and 5-day return-based betas. The...

Wheat production is dominated by a subsistence smallholder production system. Additionally, more than 4.7 million smallholder farmers are engaged in wheat production. However, poverty is chronic and pervasive among smallholder farmers. Hence, targeting the efficiency of wheat production is the...

Purpose - As cryptocurrencies continue to gain viability as an asset class, institutional investors and publicly traded firms have started taking investment positions in digital currencies. What firms may not be considering, however, is the effect these assets may have on their risk profiles....

The aim of the article is to analyze the stability of beta coeffi cients of companies listed in WIG-ESG. There are many studies on the stability of companies' systematic risk, but the literature and research lack an analysis of the stability of the beta coeffi cient for ESG companies. We...

The study provides international empirical evidence that sukuk securitization positively impacts the systematic risk increase for originator companies. Using a market-based analysis of 68 sukuk issuances during 2004-2020, the study starts by dividing the full sample of sukuk by the announcement...

It is common to estimate equity betas for private firms or non-traded assets through a comparable company analysis, we test if the Random Forest algorithm can provide superior forecasts. In out-of-sample tests from 1992 to 2018, we find that Random Forest forecasts produce substantially lower...

This paper shows that leading theories of the beta anomaly fail to explain the anomaly’s conditional performance. Abnormal returns and Sharpe ratios of betting-against-beta (BAB) factors rise following months with below-median realized volatility, even controlling for mispricing, limits to...

This paper derives a new decomposition of stock returns using price extremes and proposes a conditional autoregressive shape (CARS) model with beta density to predict the direction of stock returns. The CARS model is continuously valued, which makes it different from binary classification...

This study proposes a wavelets approach to estimating time-frequency-varying betas in the capital asset pricing model (CAPM) framework. The dynamic of systematic risk across time and frequency is analyzed to investigate stock risk-profile robustness. Furthermore, we emphasize the effect of an...

Beta-sorted portfolios-portfolios comprised of assets with similar covariation to selected risk factors-are a popular tool in empirical finance to analyze models of (conditional) expected returns. Despite their widespread use, little is known of their statistical properties in contrast to...

Beta-sorted portfolios - portfolios comprised of assets with similar covariation to selected risk factors - are a popular tool in empirical finance to analyze models of (conditional) expected returns. Despite their widespread use, little is known of their statistical properties in contrast to...

The activity of any participant in the stock market (from a private non-professional investor to investment companies) is associated with a certain level of risk. An effective mechanism in the context of leveling investment risks can be an assessment of the investment attractiveness of stock...

We develop a novel empirical asset pricing framework to estimate time-varying risk premia, building on the recently introduced score-driven conditional betas model. First, we extend the conditional betas theory by establishing the asymptotic distribution of standard tests statistics for...

In this paper, we develop a robust non-parametric realized integrated beta estimator using high-frequency financial data contaminated by microstructure noises, which is robust to the stylized features, such as the time-varying beta and the dependence structure of microstructure noises. With this...

We apply two state-space models based on the cross-sectional dispersion of the factor sensitivities of securities for extracting the time series of herding towards the market, size/growth (SMB), value (HML), operating profitability (RMW), investment (CMA) and momentum (WML) factors. The sample...

The risk premiums on real estate investment trusts (REITs) have exceeded and remained higher than those of stocks since the financial crisis of 2007--2008. In this paper, we investigate the reason why. Using the Campbell-Shiller beta decomposition, we find that REIT returns are more sensitive to...

Recently it was shown that the news-based stock pricing model (NBSPM) outperforms the momentum-enhanced five-factor Fama-French model (FF5M) for a representative list of holdings of the major US equity sector ETFs both in-sample (Schmidt 2023) and out-of-sample (Schmidt 2022). The leading term...

[enter Environmental, Social, and Governance (ESG) investing is about ethical investing. While ESG investing has garnered heightened attention, the research has not settled on whether ESG investing can “do well while doing good”. Using a proprietary ESG rating database of monthly...

Environment, Social, and Governance (ESG) investing is about ethical investing. While ESG investing has garnered heightened attention, the research has not settled on whether ESG investing can “do well while doing good”. Using a proprietary ESG rating database of monthly firm-specific data,...

Purpose: This study investigates the return co-movements associated with investor sentiment shifts in the cross-sections under a setting where market-wide sentiment interacts with short-sale impediments. Design/methodology/approach: This study estimates the return sensitivity to market sentiment...

This study evaluated the relationship between inflation and infrastructure sector stock returns in emerging markets in the long and short run. It employed a panel autoregressive distributed lag (PARDL) model applying the mean group (MG), pooled mean group (PMG) and dynamic fixed effects (DFE)...