A reliable crude oil price forecast is important for market pricing. Despite the widespread use of ensemble empirical mode decomposition (EEMD) in financial time series forecasting, the one-time decomposition on the entire time series leads the in-sample data to be affected by the out-of-sample data. Consequently, the forecasting accuracy is overstated. This study incorporates a rolling window into

Currency-specific pricing factors are pervasive in international asset pricing. However, portfolio and risk management based on forex factors, instead of individual currencies, are rarely discussed. This paper tries to fill this gap by modelling dynamic correlations and non-normality among forex factors. By considering the four most popular forex factors: the dollar risk factor, the carry trade factor

This paper introduces a class of multivariate GARCH models that extends the existing literature by explicitly modeling correlation dependent pricing kernels. A large subclass admits closed-form recursive solutions for the moment generating function under the risk-neutral measure, which permits efficient pricing of multi-asset options. We perform a full calibration to three bivariate series of index

The COVID-19 has undoubtfully brought fierce shocks to the real economic activities, financial market and public lives. Under this special condition, this study explores whether the predictability of crude oil futures information has changed before and during the COVID-19 pandemic for 19 international stock markets. From an in-sample perspective, we find that the crude oil futures RV can significantly

This study investigates whether the more sophisticated GARCH based models are better minimum variance hedging strategies than the less sophisticated regression based traditional models. The findings of the study suggest that the traditional models that directly estimate the optimal hedge ratio significantly outperform the more sophisticated models that indirectly estimate the optimal hedge ratio based

Climate change is becoming an urgent issue for the global economy. Our study employs a multivariate extreme value regression model that incorporates a LASSO-type estimator to investigate the tail dependence of the global sovereign credit default swap market conditional on climate change. Herein, we propose an extremal connectedness measure based on tail dependence to construct a sovereign credit network

The current state of the art in the central bank digital currency (CBDC) literature views indexes constructed from digital currency news to be fully informed about CBDC uncertainty and its impact on the financial system. We argue that the hedging behavior of participants in the currency futures market could be more informative than CBDC uncertainty news in the presence of limited risk absorption capacity

We examine the relationship between financial earnings quality and block ownership by institutional investors. This relation is vital given the tremendous growth of institutional ownership and the significant influence of large institutional blockholders on financial earnings quality. Our findings indicate that the presence of institutional blockholders drives higher financial earnings quality. Results

In this study, we examine the effects of geopolitical risk on corporate payout policy. Exploiting a news-based index of geopolitical risk, we find that firms adopt a more conservative payout policy by reducing share repurchases in response to greater geopolitical risk, whereas the effects of geopolitical risk on cash dividends are insignificant. Further analysis suggests that cash flow uncertainty

This study investigates the U.S. stock market efficiency from the symmetric and asymmetric perspectives during the COVID-19 pandemic. We explore that the pandemic boosts (hurts) the information role of symmetrically (asymmetrically) informed trading. Specifically, we find that the epidemic outbreak and infection scale strengthen (weaken) the stock return reaction to symmetrically (asymmetrically) informed

We examine the effect of systems of human resource practices on investment efficiency. We argue that employees at all levels of an organization play a significant role in efficient corporate investment. Thus, human resource systems aimed at improving employee quality should be associated with efficient corporate investment. However, the outcome of such systems can be controversial, as they are often

This study examines whether economic and geopolitical uncertainties affect bank risk. Using a sample of 574 banks from 19 countries for 2009–2020, our findings show that increasing economic and geopolitical uncertainty significantly constrain the bank risk and worsens its stability. Furthermore, we explore whether CEO power and board strength have played a moderate role in mitigating the adverse impact

This study investigates whether and how the two risk control strategies inhibit credit risk contagion among enterprises in the network. Learning from the corporate governance of enterprises, we propose internal and external strategies, respectively. Moreover, two improved epidemic models containing internal and external strategies strategy are established to investigate the impact of the two strategies

The paper investigates the impact of four key corporate governance mechanisms - board, audit, compensation and ownership, and anti-takeover provisions - on the exposure and contribution to systemic risk of >400 US non-financial companies (NFCs) listed in S&P500 from 2005 to 2020. Our results show that in NFCs, unlike in banks, good corporate governance practices constrain both systemic risk exposure

In this paper we provide a comprehensive analysis of the performance of US SRI mutual funds as well as its relation to the flow of new money that those funds experience in the context of investors sophistication. In particular, we compare the performance of SRI funds with their conventional peers, matched by both managers and characteristics criteria, using several performance measures. We investigate

Market myopia is a behavioural bias that causes investors to overvalue short-term earnings and undervalue long-term profits. This anomaly should not be compatible with sustainability disclosure mechanisms, the set of tools which firms use for reporting on their sustainable practices, and which contribute towards long-term performance improvements. Our aim is to study whether market myopia, as a symptom

This paper studies a class of tractable jump-diffusion models, including stochastic volatility models with various specifications of jump intensity for stock returns and variance processes. We employ the Markov chain Monte Carlo (MCMC) method to implement model estimation, and investigate the performance of all models in capturing the term structure of variance swap rates and fitting the dynamics of

We investigate the impact of top investment banks (hereafter top IBs) on the pricing of forecast revisions through the investors' attention channel by examining the distraction effect and confirmation bias theories. The distraction effect theory predicts that investors' attention shifts to consensus revisions that align with revisions from top IBs, resulting in inattention to other revisions. This

We test whether foreign investors are the vectors of contagion to emerging markets, as various theoretical models imply. We also explore the role of local institutions and individuals during and after contagion days. To do this, we propose a novel measure of contagion and estimate its dynamic relationship with the net purchases of each of the three groups of investors, from 2007 to 2016, in seven emerging

There is no doubt that oil price shocks significantly affect oil-producing countries' macroeconomic fundamentals and financial stability, mainly in crisis times. The recent oil price shocks, coupled with the COVID-19 pandemic, motivated us to investigate the connectedness and risk transmission among oil shocks and banking sectors in the Gulf Cooperation Council (GCC) economies from June 30, 2006, to

On February 24, 2022, Russia invaded the Ukraine. In this paper, we analyze the response of European and global stock markets alongside a representative sample of commodities. We compare the war response against the recent Covid-19 pandemic and the not-too-distant 2008 global financial crisis. Applying a Markov-switching HAR model on volatility proxies, estimates are made of synchronization, duration

Prior literature suggests that opacity in the banking industry is mainly caused by a lack of informativeness in the assessment of the quality of bank assets. Examining a sample of bank holding companies in the United States, we find that there is a negative relationship between opacity and bank valuation during the 2007–2009 global financial crisis. We further attempt to identify two potential channels

This paper provides evidence on the dynamic spillover among geopolitical risk, climate risk, and energy markets from an international perspective. Based on data from 13 countries between December 2002 and February 2022, we firstly confirm an overall connectedness among energy future prices, i.e., crude oil, heating oil and natural gas, with geopolitical risk and climate risk. And then, the dynamic

This paper investigates the relationship between natural disasters and the reaction of sovereign CDS spread in Europe. By applying an event study methodology during the period January 2007–December 2021 on an original database in which we identify 92 natural disasters in 17 European countries, we assess the reaction of the sovereign CDS market to a natural disaster. We find a heterogeneous response

We investigate the relationship between the CSR disclosure of peer firms and the analyst forecast accuracy of the focal firm. We find a negative association between peer CSR disclosure and analyst forecast error of the focal firm, indicating that peer CSR disclosure is informative. This negative association is more pronounced when the information environment of the focal firm is worse, when the correlation

This paper proposes a methodology to investigate the relative preference of limit orders when changes in market conditions lead to temporary violations of the zero-profit condition. We formulate this preference as a function of the intraday structural price components of information and liquidity, the time variation in which is driven by expectations of an expandable set of measures of time varying

This paper applies a model in the real options framework to analyze the impacts of controlling shareholder’s share pledging on corporate investment timing and valuation. We find that the optimal investment timing shows an inverted U-shape with the pledge ratio, indicating that share pledging exacerbates firms’ over-investment and worsens firms’ under-investment. Furthermore, share pledging hurts firms’

Despite the overwhelming literature claiming the environmental benefits of the transition towards a green economy, the evidence favoring these broad claims is still obscure and fuzzy. The present study makes two significant contributions to this important yet unsettled issue. First, we segregate the overall green transition in G7 economies into three different manifestations i.e., Green Energy, Green

Frontier markets are considered a good destination for international diversification due to their low level of integration with global markets. However, a diversification strategy into frontier markets with respect to country factors does not optimally capture their full diversification potential. Enhancing this strategy by simultaneously incorporating industry factors improves the ability to diversify

This paper analyses interdependence between the returns of specific energy and non-energy commodities and equities using (i) Thick Pen Measure of Association (TPMA) and (ii) Multi-Thickness Thick Pen Measure of Association (MTTPMA). We capture time-varying co-movement and co-movement across different time scales to analyse the short-term and long-term features of the time series using stationary data

This study documents the importance of considering the cross-sectional differences in the tail properties of stocks' return distributions when analyzing the left-tail momentum (LTM) phenomenon. This phenomenon is verified in the Korean stock markets, which shows that stocks showing large losses in the past tend to continue to perform poorly in the future. However, when tail fatness (TF), measured using

This paper develops a model of the bitcoin market that views the bitcoin as a tradeable commodity whose supply is managed by the Bitcoin protocol. Miners utilize equipment and electricity to solve complex computational problems and the first miner to solve a problem is rewarded with bitcoins. The protocol adjusts the difficulty of the problem to target a constant growth rate in the supply of bitcoins

Recent changes in workplace and corporate board diversity policies and a series of court rulings have signalled a fundamental change in the treatment of lesbian, gay, bisexual, transgender and queer (henceforth LGBTQ) people in the corporate world. In this paper, we survey the burgeoning literature on the role of sexual orientation in finance. Studies show that there is a positive relationship between

This paper provides (i) a review of the existing literature on the metaverse and (ii) an empirical assessment of the current state of the Web3 meta-economy, with the focus on economic governance and metaverse commerce. We have analysed the entire Web3 metaverse niche, i.e. both the 196 available metaverse fungible tokens and all the non-fungible token (NFT) transactions belonging to the metaverse marketplace

Stocks with lottery-type payoffs exhibit more pronounced price delay. This finding holds for emerging market stocks even when jointly considering the impact of IVOL. In a cross-market analysis, a stronger market-level propensity to speculate, gauging the strength of investor preference for lottery-type payoffs, is found to delay the price reaction to information for stocks in the market in general

Hedge fund activists raise public demands around engagement announcements for a quarter of their engagements. I analyze the short- and long-term effects of public demands on the performance of target firms using an international dataset of 1670 activist engagements across 35 countries between 2008 and 2019. For the global sample, I estimate significantly higher announcement returns for engagements

Abstract not available

Using the total daily amount traded exclusively by retail investors in the Brazilian stock market from 2018 to 2020, we find that online searches exhibit a strong association with the future trades of retail investors and that this relationship is observable under different market conditions. Moreover, we also document that the alternative approaches commonly used in the literature to capture investor

The aim of this research was to study the effect of the composition and functioning of board committees on firms' financial distress. Exponential, Weibull and Cox regression models were used to conduct a survival analysis on a sample of 273 Italian listed companies for the period 2004–2017, which indicated that the presence of non-executive members on remuneration and audit committees, and remuneration

Political risk models highlight that political uncertainty matters for corporate investment decisions. However, how political uncertainty matters for investment allocation decisions is relatively under-explored. In this study, we examine the impact of political uncertainty associated with national elections on foreign equity portfolio in 48 countries. Our results indicate that political uncertainty

Many mutual funds declare themselves as socially responsible investment (SRI) funds. However, it is unclear whether this rhetoric is simply window-dressing to attract capital inflows or reflects genuine concern. We show that companies with better environmental, social, and governance (ESG) performance are more attractive to SRI mutual funds. More importantly, SRI mutual funds positively affect their

Non Fungible Tokens (NFT) and Decentralized Finance (DeFi) assets have seen a growing media coverage and garnered considerable investor traction despite being classified as a niche in the digital financial sector. The lack of substantial research to demystify the dynamics of NFT and DeFi coins motivates the scrupulous analysis of the said sector. This work aims to critically delve into the evolutionary

This paper examines an unexplored issue of how a firm's competitive environment, proxied by import penetration, affects its debt maturity structure. We document a significant, positive relationship between foreign product competition and the proportion of short-term debt. Our results are robust to a series of sensitivity tests and endogeneity concerns. Utilising large, unexpected reductions in import

We use a novel measure of firm-level political risk based on a textual search technique on firms' quarterly earnings conference transcripts to explain dividend payouts in publicly listed U.S. firms. We find a positive and significant effect of firm-level political risk on dividend payouts, particularly in uncertainties related to economics, institutions, technology, trade, and security. The effect

This study investigates the implications of the COVID-19 pandemic for sovereign debt in the G-7 and E-7 economies and explores the notion of sovereign bonds as a safe haven. Using a set of panel regression and dynamic connectedness TVP-VAR approaches, our results reveal that the impact of COVID-19 global case numbers on sovereign bonds has been contingent on the level of the country's financial and

Using an international sample of 30,060 observations of firms from 32 countries, covering the period from 2004 to 2018, combined with a country-level index for societal trust, this study provides evidence that societal trust is negatively associated with corporate social responsibility (CSR), which in turn is a proxy for firm-level corporate trust-building investment. Further analyses show that firms

Keyword based measures purporting to reflect investor sentiment attention or uncertainty have been increasingly used to model stock market behaviour. We investigate and shed light on the narrative reflected by Google search trends (GST) by constructing a neutral and general stock market-related GST index. To do so e apply elastic net regression to select investor relevant search terms using a sample

This paper examines how mutual fund investors’ demand for liquidity provision endogenously affects stock liquidity in the equity market. We find that actively managed funds in the US tend to hold less liquidity than their respective benchmarks, which leads them to rely on only a small fraction of liquid stocks when it comes to liquidity demand. Using mutual fund sell transactions, we further show that

Using a unique and extensive dataset of 121 socially responsible investing (SRI) equity exchange-traded funds (ETFs) from January 2010 to December 2020, this study examines how passive SRI ETFs perform compared with their non-SRI benchmarks composed of S&P500 ETFs. Over the full sample period, our results show that an equally weighted SRI ETF portfolio underperforms its benchmark portfolio. Notably

We empirically investigate the effect of financial institution-targeted macroprudential policies on firms using a comprehensive macroprudential policy dataset and corporate panel data across 35 countries. We find that tightening of macroprudential measures persistently curbs the leverage of firms, while loosening is related to the increase in leverage. We also find that this effect on leverage is heterogeneous

This paper studies the impact of the features of the shareholder base on the performance of a large sample of Italian listed firms between 2007 and 2019, both within and across firms. We expand the empirical evidence on the relation between shareholder type and different dimensions of firm performance by dividing shareholders into six categories, and further differentiating between domestic and foreign

In this study, we evaluate the performance of Indian fixed-income mutual funds using a comprehensive sample over a ten-year period from April 2010 to March 2020. We examine performance persistence of 190 fixed income funds across 16 fund categories and analyze investment style of the most persistent and top performing funds. We assess performance persistence using recursive portfolio formation test

The abnormal returns of the Betting Against Beta (BAB) strategy have attracted much interest among researchers and practitioners. Based on a market anomaly related to the Capital Asset Pricing Model, this strategy uses daily beta as a signal for portfolio construction. However, recent literature shows how some financial quantities, including beta, change between trading and non-trading periods. For

This study examines the effects of shareholders' trust on managers' bad news hoarding. Using a large sample of listed firms from 33 countries, we find that firms domiciled in countries with higher societal trust have higher stock price crash risk, which indicates that managers may exploit shareholders' trust to conceal bad news and that a low-trust society can be beneficial in restraining management

The fastest growing segment of private equity deals is secondary buyouts (SBOs) sales from one private equity (PE) firm to another. We operationalize a novel FactSet database to map the network structures of secondary buyouts between PE firms. We offer three contributions. First, after controlling for economic covariates, we find that PE firms are almost three times more likely to transact if they

In this paper, we find that product market threats increase firms’ tax avoidance. This association is especially observed for firms that pursue tax avoidance more than their optimal target level (i.e., actively tax-avoiding firms). In addition, among these firms with active tax avoidance practices, firms with weaker corporate governance structure, lower financial flexibility, and greater predation

We offer novel indicators of market-wide liquidity. Previous literature uses averages of individual liquidity indicators to track the evolution of market-wide liquidity. Instead, we focus on the tails of the market liquidity distribution. First, we construct aggregate liquidity indicators using low and high quantiles of six liquidity measures (total volume, number of trades, effective spread, realized

The impact of Bitcoin futures introduction on the underlying Bitcoin volatility has been a controversial topic. Conflicting results had been obtained from different sample periods and methodologies. To address this debate, this study examines the impact of futures trading on volatility and volatility asymmetry of Bitcoin returns in the short and long run. Using exponential GARCH models, we introduce

We develop an enhanced DSSW model of behavior asset pricing by introducing the expected feedback mode. Through numerical simulation, it has been theoretically proved that risky asset price is jointly determined by trend extrapolated effect of expected feedback traders and the creating space effect of noise traders, and that price fluctuation depends on the expected feedback coefficient. As expected

Dynamic contracts with multiple agents is a classical decentralized decision-making problem with asymmetric information, it is usually discussed according to moral hazard and the behavioral relationship between agents. To do so, in this paper, according to behavior relationships between agents, we analyze continuous time optimal contracting in principal multi-agent moral hazard settings. According