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

We explore the extent to which aspirations – such as those forged in the course of social interactions – explain ‘puzzling’ behavioral patterns in investment decisions. We motivate an aspirational utility, reminiscent of Friedman and Savage (1948), where social considerations (e.g., status concerns) provide an economic foundation for aspirations. We show this utility can explain a range of observed

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

We introduce a novel nonparametric bootstrap for the yield curve that is agnostic to the true factor structure of interest rates. We deconstruct the yield curve into primitive objects, with weak cross-sectional and time-series dependence, that serve as building blocks for resampling the data. We analyze the properties of the bootstrap for mimicking salient features of the data and conducting valid

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

I exploit a Dutch reform in the regulatory discount curve that makes the liabilities of pension funds and insurance companies (P&Is) more sensitive to changes in 20-year interest rates but less so to longer maturity rates. Following the reform, P&Is reduced their longest maturity bond holdings but increased those with 20-year maturities, steepening the long end of the yield curve. Using the reform

We offer new evidence on the relationship between competition and innovation that overcomes two measurement difficulties compromising the extant literature: aggregation at either firm level (or higher) of innovative activity, and the mediating influence of distance-to-technological-frontier. FDA awards of Breakthrough Therapy Designations (BTDs) on specific drugs, instrument stochastic unleveling of

This study investigates whether the corporate culture of a firm affects its tax shelter behavior. We use a novel machine learning methodology to measure the corporate culture of a firm. Our results show that firms with stronger corporate culture are more likely to have material operations in tax haven countries and the extent of such operations is greater in these firms. The findings also suggest that

Provisions involve a high degree of judgment by corporate managers and substantially affect companies’ reported performance, arguably making them prone to earnings management. To analyze the strategic use of provisions under International Accounting Standard (IAS) 37, we examine the notes disclosures of large European companies that provide detailed information about yearly additions and utilized and

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

We analyze corporate acquisition announcements and the feedback of credit rating agencies by placing the acquirer’s issuer rating under formal review for a potential change. We show that acquisitions are 42.8% more likely to be withdrawn if the firm’s rating is placed on review for downgrade. Focusing on completed acquisitions, deals associated with reviews for downgrade need approximately 40% more

We examine the effect of the Securities and Exchange Commission's (SEC) regulatory oversight on private debt contracting outcomes, using the signing of the multilateral memorandum of understanding (MMoU) as a natural experiment. The MMoU enables the SEC to take stricter punitive actions against wealth expropriation by cross‐listed firms’ insiders and enforce better compliance with applicable rules

This address reviews macrofinance from the perspective of resilience. It argues for a shift in mindset, away from risk management toward resilience management. It proposes a new resilience measure, and contrasts micro‐ and macro‐resilience. It also classifies macrofinance models in first‐ (log‐linearized) and second‐generation models, and links the important themes of macrofinance to resilience.

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

We develop a novel recovery theorem based on no-arbitrage principles. To implement our Arbitrage-Based Recovery Theorem empirically, one needs to observe the Arrow–Debreu prices only for one single maturity. We perform several different density tests and mean prediction tests using more than 26 years of S&P 500 options data, and we find evidence that our method can correctly recover the probability

In this paper, we reveal an overlooked but important role of corporate governance on investment efficiency: non-CEO executives. Internal governance, measured as the fraction of independent executives appointed before the current CEO, leads to a better investment efficiency. The governance effect is pronounced when executives have stronger incentives, such as a longer horizon or a higher shareholding

This study introduces the ESG-washing Severity Index (ESGSI) for quantitatively assessing discrepancies between portrayed and actual sustainability practices in corporate disclosures. Using advanced Natural Language Processing (NLP) techniques, we analyze sustainability reports from 749 listed companies, integrating sentiment analysis with the frequency of sustainability terms to calculate the ESGSI

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

This paper presents an approach for pricing gold from investors’ perspective. The model is based on no-arbitrage principles with minimal structural assumptions. There is no need to specify investor preferences. When fitted to match 10-year real U.S. Treasury rates, the model can replicate the salient fluctuations in the time series of gold prices since 2007. The model is also able to capture key patterns

Using administrative data on credit profiles matched with unemployment insurance (UI) for individuals in the U.S., we show that laid-off workers with access to Uber rely less on household debt, experience fewer delinquencies, and are less likely to apply for UI benefits. Our empirical strategy exploits both the staggered market entry of Uber across cities and the differential benefit of its entry across

This paper explores the relationship between carbon emissions reduction and corporate financial performance, leveraging a rich dataset of 14,866 observations from 2768 companies across 36 countries and regions, and 35 industries over the period 2002–2022. We find that carbon emissions reductions improve company financial performance, as measured by return on assets and return on equity, with this effect

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

We study information sharing between strategic investors who are informed about asset fundamentals. We demonstrate that a coarsely informed investor optimally chooses to share information if his counterparty investor is well informed. By doing so, the coarsely informed investor invites the other investor to trade against his information, thereby reducing his price impact. Paradoxically, the well informed

In this study, we argue that successful exit outcomes (Trade Sales (TS) or IPO) from VCs' cross-border investments are influenced by time-since-first-funding-received (TSFFR) by the venture. As TSFFR increases, the venture reveals more information about its potential, influencing the value that trade and IPO buyers place on it. This, in turn, influences whether VCs exit via a TS or an IPO. Analyzing

The financial inclusion paradigm is increasingly considered a veritable development model. Therefore, we argue that a deeper understanding of it is necessary for enabling policies and strategies that would yield positive development outcomes (successful financial inclusion). We explore this argument by first, defining “effective financial inclusion” along the lines of identifiable population groups

Using an aggregate measure of corporate culture, we find that firms with stronger corporate culture encounter lower investment inefficiency. We show that reducing information asymmetry or engaging in tax avoidance are two potential channels through which corporate culture reduces investment inefficiency. Further analyses reveal that the aforementioned relationship is more pronounced for firms with

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

We study the role of brokers in selection markets. We find broker-clients in the Canadian mortgage market are observationally different from branch-clients. They finance larger loans with more leverage and longer amortization. We build and estimate a model of mortgage demand to disentangle three possible explanations for these riskier product choices: (1) selection on observables, (2) unobserved borrower

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We provide the first evidence that conflicts of interest arising from commercial ties lead to bias in environmental, social, and governance (ESG) ratings. Using the acquisitions of Vigeo Eiris and RobecoSAM by Moody's and S&P as shocks to the commercial ties between ESG rating agencies and their rated firms, we show that, after their acquisitions by the credit rating agencies (CRAs), ESG rating agencies

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

We use Swedish administrative data to study the role of unemployment risk in salaried employees’ decisions to become entrepreneurs. Using the 2001 relaxation of Sweden’s last-in-first-out (LIFO) dismissal rule as an exogenous shock to unemployment risk, we find that employees facing increased unemployment risk are more likely to become entrepreneurs. The effect is more pronounced for employees with

We provide evidence using firm 10‐Ks that over the past 30 years, U.S. firms have expanded their scope of operations. Increases in scope were achieved largely without increasing traditional operating segments. Scope expansion significantly increases valuation and is realized primarily through acquisitions and investment in R&D, but not through capital expenditures. Traditional concentration ratios

The volatility of cross-border capital flow (CF) has become higher in the last two decades. We use a sample of advanced and emerging market economies in the last two decades, with a focus on portfolio fund flows (equities and bonds). We find that the impact of portfolio CF volatility on exchange rate (FX) volatility is diminished in the short-term if specific economic fundamentals of the country are

This paper studies the influence of Reddit social media attention on investor risk-taking and welfare using individual trading data from a large trading platform. We show that attention generated on the subreddit r/wallstreetbets (WSB) spurs uninformed trading, also in short positions. WSB attention increases overall risk levels as investors trade riskier stocks and allocate larger portfolio shares

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 article suggests new possibilities to nurture diversity, disrupt heteronormativity and create space for voices of LGBTIQA+ people in accounting. Whilst past research focuses on and challenges heteronormativity in the accounting workplace, we argue that accounting education plays a key role in shaping sexual norms in accounting. We begin by providing insights into how current accounting education

Our findings reveal that asset specificity significantly enhances corporate tax avoidance, with firms exhibiting lower cash effective tax rates. Firms with higher asset specificity also engage in more aggressive tax avoidance strategies, including tax dodging and long-term tax planning. Additionally, our analysis indicates that the positive impact of asset specificity on tax avoidance is less pronounced

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