This paper examines the effectiveness of Artificial Intelligence (AI) in predicting Bitcoin's price movements. To achieve this, we developed two distinct trading strategies and compared their performance against each other and the traditional Buy and Hold (B&H) strategy. Over the period from January 2018 to September 2023, we found that the strategy optimized by ChatGPT 01-Preview, which integrates

Crowdfunding has arisen as a prominent alternative to more traditional forms of financing, with equity crowdfunding (EC) becoming increasingly significant for its economic relevance and unique dynamics. While previous research has explored various factors contributing to EC campaign success, the role of firm governance, particularly family governance – i.e., the involvement in management and/or ownership

Consistent with the funding-horizon theory, we find that cash shortfalls are important determinants of external financing in both the US and Japan. Japanese firms seem less likely to raise external financing compared with US firms. However, after we control for cash shortfalls and other factors known to affect external financing decisions, Japanese firms are as likely to issue debt and equity as US

The integration of robots and advanced technology in firm-level production processes represents a transformative shift in modern industrial practices. However, there is a lack of cumulative knowledge about the advancement of technology in the production processes affects mitigating the gender gap. Through the lens of financial accessibility, the study investigates how technological advancements influence

This study examines the impact of the framing of sustainable development goals (SDGs) in crowdfunding campaign descriptions on fundraising success. We compile a dataset of 25,799 Indiegogo campaigns and quantify their relative focus on the 17 United Nation's SDGs. We find that the amount raised and the number of backers increase by 17.3 % and 8.3 %, respectively, if the number of SDG-related sentences

This paper is the first to use an economic theory-based model—the monetary model of exchange rates within a rational expectations present value framework—to forecast the daily exchange rate of a major currency. Our out-of-sample forecast evaluation period, spanning from 1990 to 2024, is longer than that of any other exchange rate forecasting study. We find that our model's forecasts outperform the

Credit asset-backed security (ABS) is a crucial financial instrument that plays a significant role in enhancing financial market efficiency and optimizing the social credit structure. However, pricing and analyzing credit ABS is challenging as its valuation is influenced by complex factors with path-dependency. This study proposes a modeling approach using a dynamic asset pool and derives explicit

A large earthquake is a devastating natural disaster affecting life and infrastructure. Copper, vital for combating climate change, sees over 40% production from Chile and Peru. An earthquake near these mines induces uncertainty, boosting copper prices. After analyzing copper returns after large-magnitude earthquakes (2005–2020) in Chile and Peru, event studies revealed positive abnormal returns. These

Although central banks often prioritize exchange rate stability, its role is frequently overlooked in the monetary policy analysis and simple interest rate rules do not comprise exchange rate arguments even in small open economies. This study extends the traditional Taylor rule by incorporating exchange rate deviations to determine their influence on monetary policy conduct across various economies

This study examines the effect of dividend tax reform on earnings management by utilizing a natural experiment in Korea. From 2015 to 2017, the Korean government reduced the tax burden on dividends for firms exceeding specific thresholds for dividend payout ratio. Using a staggered difference-in-differences design, this study finds that tax-eligible firms significantly decreased discretionary accruals

Using ridge regressions, we introduce a novel methodology to estimate a time-varying version of the market risk-return trade-off. Our model improves available techniques since it allows for flexible patterns in the relationship and does not need a long span of data or additional state variables to accurately estimate the trade-off. We find that this relationship is positive during almost all the sample

This paper explores the link between corporate ESG performance and financialization using a sample of publicly listed companies on the Shanghai and Shenzhen stock exchanges from 2010 to 2022. Baseline regression results indicate that engaging in ESG practices can effectively curb tendencies towards financialization, achieved through enhanced corporate risk management capabilities. Mechanism analysis

This paper examines the effect that the EU Action Plan on Sustainable Finance has on mobilizing private finance for sustainable-purpose companies. Our results suggest that the EU regulation has substantially augmented the influx of private financial capital into companies with sustainability purposes situated in EU countries subject to the regulation. This is valid mostly for companies whose purpose

This article investigates the stock market reaction to the voluntary adoption of nature-related financial disclosures (TNFD) Recommendations, which focus on nature-related dependencies, impacts, risks, and opportunities. Investors may view this adoption as either value-destroying or value-enhancing. Using an event-study methodology, we analyze a global sample of listed companies. The results reveal

Explainable Artificial Intelligence addresses the black box problem associated with AI, aiming to promote greater transparency, traceability, and trust in applications of AI. xAI is becoming a vital element in finance and economics in fields like risk management, credit decisions, and regulatory compliance. The need for xAI arises from the challenges in understanding, trusting, and communicating AI-generated

This paper examines the relationship between CEOs' political preferences and their post-retirement directorship opportunities, proposing that political donations may serve as signals of political influence or connections that impact career prospects in the market for corporate directors. Using data on political contributions from 1998 to 2016, we explore whether CEOs' political affiliations create

We investigate firms’ incentives to adopt green technology. To cover the adoption costs, a firm needs a bank loan. The bank cannot observe firms’ adoption costs and offers a loan contract that allows it to earn an intermediation margin. The Pigouvian tax leads to optimal abatement but inefficiently low adoption. The first-best outcome is achieved via a combination of environmental tax and loan subsidy

In an increasingly competitive market environment, green innovation has become a crucial factor in enhancing a company's market position. This paper utilizes data from publicly listed companies from 2007 to 2021 to thoroughly examine how green technology innovation influences corporate brand competitiveness and investigates the role played by environmental policies. The study demonstrates that green

The purpose of this paper is to examine how the crowdfunding campaigns success and long-term corporate failure are affected by the campaigns and firms’ environmental orientation, as well as by the regional innovation level. This study reveals that environmental orientations (of both campaigns and firms) are linked with higher campaign success, while only firm environmental orientation is linked with

This paper introduces a modification to the affine GARCH model of Heston and Nandi (2000). The new model is designed to allow for a non-zero lower bound for the variance achieved by adding two parameters to the existing model. The affine structure of the moment-generating function is preserved at the level of variance, while an approximation is studied for log prices. The construction resembles the

This paper analyzes stock returns' sensitivity to the newly introduced sustainability concerns index based on media indicators from LSEG MarketPsych for the US market from 2010 to 2023. While the results demonstrate that better ESG performance mitigates equities' sensitivity to sustainability concerns in society, the effects are mainly driven by firms' governance rather than environmental or social

This study examines the impact of biodiversity risk exposure on firm efficiency. Analyzing 23,750 firm-year observations from 2001 to 2020, we identify a significant negative relationship between biodiversity risk and firm efficiency. Our research indicates that increased external financing needs and higher capital costs, driven by biodiversity risk, are key channels contributing to reduced firm efficiency

I investigate how climate policy uncertainty (CPU) influences earnings management (EM). The analysis reveals that high levels of CPU are associated with a reduction in the absolute value of abnormal discretionary accruals. This relationship remains robust across two instrumental variable approaches, several internal and external governance factors, and various alternative measures of EM. Additionally

We examine the effects of human capital disclosures on ownership structure. Firms which are highly intangible experienced an increase in institutional ownership concentration subsequent to the introduction of human capital disclosure rule. Using a differences-in-differences empirical design, we document that these firms also engaged in more earnings management. Collectively, these findings highlight

The main focus of this paper is to study empirically the impact of major cyberattacks in the market value of the ten most exposed insurers to cyber risk. Using an event study for 53 global cyberattacks, we observe a negative and statistically significant stock price reaction for insurers around the cyberattack disclosure dates. The increase in the assessed probability of an increase in future payments

Existing studies on the COVID-19 pandemic and vaccine development have primarily focused on national stock markets, with limited attention to international financial markets. This paper constructs a news-based index to measure public sentiment regarding the progress of COVID-19 vaccine development during the first year of the outbreak and examines its impact on international financial markets. We find

In this paper, we examine the contemporaneous and lagged spillovers among the agricultural, crude oil, carbon emission allowance, and climate change markets. Adopting the R2 decomposed connectedness approach, our empirical analysis reveals several key findings. First, the overall total connectedness index (TCI) dynamics have been mainly dominated by contemporaneous effects. Second, there are heterogeneous

This paper examines the relationship between environmental performance and the use of sustainability-linked loans (SLLs) by U.S. real estate investment trusts (REITs). We find that a 1 % reduction in past carbon emissions increases the REITs' likelihood of taking an SLL by 29.6 %, while a 1 % slower growth in past emissions reduces the interest spread by 1.6 basis points. Our results reveal that banks

We investigate how exchange default risk and liquidity affect Bitcoin cross-exchange arbitrage opportunities. Analysing minute-level data from 16 cryptocurrency exchanges (April 2013–April 2024), we find arbitrage opportunities last longer when higher-risk exchanges have higher prices, as traders are cautious of default risks. There is a strong positive relation between capital flows from high-risk

This study investigates the distinct effects of the environmental, social, and governance (ESG) pillars on corporate financial performance (CFP) measured by ROE and ROA. Using a random forest regression on a sample of Korean-listed firms, we address the positive correlations among these pillars and explore the nonlinear relationships between CFP and individual pillars without pre-specified functional

This study demonstrates that digitalisation greatly facilitates the growth of credit, but does not result in rapid and unsustainable increase. The mechanism tests demonstrate that the influence of digitalisation on the growth of credit is accomplished by reducing the danger of bad debt after a loan and increasing the desire for risk before the loan. Upon further examination, it is evident that digitalisation

This paper analyzes the spillover effects of the "Binance Incident" in the cryptocurrency market on financial markets. We integrate event study with Lasso to predict the normal returns during the event window, which outperforms traditional market models. Based on the new approach, we find positive effects on precious metal markets due to their safe-haven nature. In contrast, energy markets exhibit

This study investigates the impact of satellite data availability on the market timing abilities of institutional investors. By analyzing the introduction of satellite coverage for major retailers, this study finds that access to satellite data significantly enhances the return predictability of daily institutional trading. This improvement is more pronounced for stocks with severe information asymmetry

The zero-leverage (ZL) phenomenon is widespread and receives much attention; however, its determinants remain unknown. Using random forest and LASSO regression methods, this study investigates the factors contributing to the ZL phenomenon. We are the first to show that the determinants of overall leverage cannot be directly applied to ZL companies. Findings reveal that cash holdings, tangible assets

Earnings management practices may be implemented to unduly improve the company's credit score, and in voluntary settings, a company's choice of adopting IFRS can influence the company's credit profile. We conduct an empirical analysis on a representative sample (n = 10,389) of Italian private companies and find that earning management practices improve, whereas a voluntary IFRS adoption worsen a company's

The recent Carbon volatility index (Carbon VIX) by Fuchs, Stroebel, and Terstegge (2024) raises important questions regarding its impact on the financial performance of decarbonizing companies. We investigate the relationship between decarbonized SPACs and the Carbon VIX. While the Decarbonised SPAC Index does not exhibit a statistically significant linear relationship with the Carbon VIX, a regime-shifting

Despite the growing popularity of commodity exchange traded funds (ETFs), research on their risk transmission dynamics is lacking. The study employs a Time-Varying Parameter Vector Autoregressive (TVP-VAR) model to analyze volatility transmission among commodity ETFs during significant events like the COVID-19 pandemic and geopolitical conflicts. It aims to minimize interconnectedness among ETFs to

Sustainable financing and regulations to achieve carbon neutrality are important global issues for achieving the Sustainable Development Goals. This study investigates the effects of various global uncertainties on the relationship between green bonds and carbon markets using GARCH-MIDAS-X and DCC-MIDAS-X models. We find that temporary shock-related uncertainty, such as infectious disease risk or geopolitical

Despite considerable attention being devoted to the antecedents of ESG, existing research has overlooked the pivotal role of CEO reputation in determining a firm's ESG performance. We propose that ESG performance is influenced by reputable CEOs’ impression management motive to maintain their status as celebrity. Utilizing a longitudinal data set of A-share listed firms from 2014 to 2020, we find that

They do, but not in ways one might think. Using an example from the 2016 Presidential election in the United States, we show that days with heavy doses of disinformation related to the candidates do not affect broad index stock returns. However, disinformation that was strongly pro-Hillary Clinton was associated with a substantial lowering of conditional volatility of stocks, even when controlling

This study examines the impact of international reserves on real exchange rate (RER) stability in the Europe and Central Asia (ECS) region, focusing on how financial development levels affect this relationship. Using panel threshold regression, the analysis reveals that international reserves significantly stabilize RER when reserves exceed 17.28 % of GDP, especially in countries with underdeveloped

This study investigates the impact of debt maturity on the marginal value of cash holdings. It posits that short-term debt acts as a crucial governance mechanism by reducing agency conflicts and aligning managerial actions with shareholder interests. Using a sample of U.S. public firms, the results indicate that firms with higher proportions of short-term debt have a greater marginal value of cash

Using a nonparametric kernel method, this paper develops a weighted conditional value-at-risk hedge model to hedge downside risks in agricultural commodities. The model exhibits convexity, ensuring the acquisition of its global optimal solution. Simulations show that the nonparametric kernel method enhances the accuracy of the weighted conditional value-at-risk and hedge ratio determination, outperforming

In the era of the current scientific and technological revolution and industrial transformation, digital technology innovation serves as a critical driver for the high-quality development of manufacturing enterprises. The dual attributes of ESG (Environmental, Social, and Governance) ratings, encompassing "internal governance" and "external support," play a pivotal role in propelling digital technology

This study investigates the impact of social proximity to capital on the U.S. mortgage markets. The results show that mortgage loans in counties with stronger social connectedness to capital are associated with significantly larger loan amounts and lower interest rates. The endogeneity concern is mitigated by employing a propensity score matched sample. Channel analysis reveals that the potential mechanisms

Financial constraints are a major impediment to economic growth. However, virtually all measures are calibrated with U.S. data and it is therefore not clear whether they work in other jurisdictions. Using data from Brazil during 1996–2022, we test how informative the KZ and SA indices are. We estimate panel regression models of corporate asset growth, market-to-book ratio, payout ratio and ROA on these

Does the paradigm shift brought by Large Language Models (LLMs) hold the promise of revolutionizing financial analysis? Our article tackles this question by exploring fraud detection in cryptocurrency exchanges, with a focus on FTX. We study the abilities of generative artificial intelligence tools like ChatGPT to serve as early-warning systems of fraud and identify red flags in the particular and

Crowdfunding platforms are increasingly sensitive to sustainable practices. However, the connections between these platforms and sustainability remain under-researched. This study examines how the sustainability orientation of equity crowdfunding platforms influences their performance. Conducting a longitudinal analysis based on 573 platforms in 37 OECD countries over the 2008–2023 period, we document

This research provides an extensive characterization of the contagion between electricity, energy commodities, financial assets and economic indicators across several maturities. Despite the widespread importance of electricity futures, this has been an under-researched topic. The evolution of connectedness is investigated between 2006 and 2023. With a special focus on electricity forward base and

Starting in December 2000, the American Inventors Protection Act requires patent applications to be announced 18 months after filing rather than when the patent is granted. We document that while the application and the patent grant announcements are associated with positive abnormal returns, this staggered information flow reduces the reaction to patent grants post-2001. Furthermore, more innovative

Emerging economies are often more vulnerable to the impacts of global warming, experiencing devastating floods and a collapse in agricultural production. This study, under the lens of resource dependence theory, aims to determine the role of climate governance and growth opportunities in driving the adoption of climate change mitigation initiatives by the leading listed companies in the 28 most important

This paper studies the decision-making dynamics of stock market-excluded retirees, focusing on the optimal allocation of retirement wealth among consumption, risk-free assets, and single premium immediate annuities. The analysis centers on two pivotal factors: insurer interest rates and longevity risk. The study introduces new dimensions by highlighting the modeled financial environment’s optimal

This study identifies that CEO characteristics can drive overinvestment to superior ROA and stock return. We employ data from Glassdoor.com, a total of 755,541 reviews, to measure the CEO's characteristics. We find that, if CEOs are approved by their employees, overinvestment can spur firm development and boost future stock premiums. To address endogeneity concerns, we use the Fama-MacBeth regression

This study investigates the impact of performance commitments on the earnings management levels of acquiring firms in the three years following mergers and acquisitions (M&As), as well as the resulting performance reversal phenomenon. The empirical results indicate that listed companies significantly increase their earnings management levels in the three years after making performance commitments.

Using a multiple-threshold regression model and monthly data (April 1982−July 2024), we analyze the Reserve Bank of Australia's cash rate pass-through effects on lending and deposit rates. For lending rates, pass-through is symmetric when the cash rate is below 4.75 %. However, at certain cash rate levels, mortgage and small business rates shoot up like rockets but fall like feathers. No asymmetry

The aim of this study is to conduct a comprehensive review of 62 articles between 2003 and 2023 and provide an in-depth analysis of the ESG controversies. This study presents the most significant articles, the most important journals and the most relevant authors in research on ESG controversies. In addition, the theoretical and methodological choices used in this research area are examined. In addition

This study examines the persistence dynamics in Brazilian economic uncertainty, confidence, and expectation indexes, in both business and consumer sides of the economy. Using rolling window estimations of the fractional integration parameter, we assess how economic turbulence influences the persistence of these indexes. We find that economic uncertainty in Brazil is non-stationary but mean-reverting

Bitcoin mining places huge demands on energy systems and increases carbon emissions, which sequentially adds to the impact of climate change. This study investigates the impact of a series of factors on the Bitcoin carbon footprint (BCF). The overall effect of USD on reducing BCF is greater than that of stocks, bonds, and gold. The negative impacts of coal and natural gas on BCF are more pronounced

This paper investigates the impact of the Insolvency and Bankruptcy Code (IBC) on the dividend policy of financially distressed Indian firms. Utilizing a dataset of 33,820 firm-year observations from 2003 to 2023, we employ a difference-in-difference framework to examine how the introduction of IBC influences dividend payouts. Our findings reveal that distressed firms pay more dividends post IBC than