Finance Research Letters最新文献

To explain the newly discovered coevolution of capital and labor structures, this study presents a modified capital-skill complementarity hypothesis within the framework of structural transformation. We propose that artificial intelligence (AI) and skilled labor exhibit relative complementarity. Specifically, advancements in AI services or AI-enhanced technologies incentivize the mobilization of skilled labor across different industry sectors. The direction of this labor movement is contingent upon variations across industry sectors, including AI output elasticity and the substitutability between AI and conventional production methods. This structural transformation process also induces fluctuations in skill premiums.

This paper empirically examines the impact of digital transformation on the financing constraints of tourism-related listed companies in the Chinese capital market during the COVID-19 pandemic. The empirical results indicate that digital transformation significantly reduces financing constraints during the pandemic. Heterogeneity analysis shows that the mitigating effect of digital transformation on financing constraints during the pandemic is mainly evident in large-scale enterprises and those with a higher proportion of institutional investors.

This study introduces an enriched framework depicting the channels through which managers can mitigate sales shock impacts on firm net income and dividends. Employing variance decomposition, this study provides insights into the proportion of sales shocks absorbed through different firm-level net income smoothing channels. We control for the nature (positive vs. negative) and duration (persistent vs. transitory) of sales shocks. Our findings offer significant insights into income and dividend smoothing. Research implications for theory and practice are further explored.

Global carbon pricing has been recognized as one of the most efficient mechanisms that can be used to reduce CO₂ emissions, but questions remain about the magnitude of the price and the speed of implementation. We examine this important issue by extending the Dynamic Integrated Climate and Economy (DICE) model to estimate global carbon prices that will be required to reach various warming scenarios. Our analysis suggests that while carbon pricing can play a critical role in reducing greenhouse gas emissions and limiting global warming, it must be supported by other policy measures and innovations in order to reach the Paris Agreement targets. In particular, we found there was no feasible carbon pricing scenario that was high enough to limit emissions sufficiently to achieve anything below 2.4°C warming on its own. We project significant differences in global physical costs due to climate change across various warming scenarios, which range from a total (to 2100) of $152tr under a 1.5° scenario to $765tr under 4.2° warming.

We examine whether and how the development of digital financial inclusion (DFI) affects firm environmental, social, and governance (ESG) greenwashing. Our findings indicate that local DFI prohibits firms' greenwashing behaviors. These conclusions are supported through robust analysis using a multidimensional fixed-effects model, alternative measures, and an instrumental variable approach. Our research provides compelling evidence that DFI dampens corporate greenwashing by easing financial constraints and reducing information asymmetry. Additionally, DFI promotes genuine corporate engagement in ESG activities, though it does not influence ESG disclosure practices. Notably, the effects are more pronounced in firms with limited analyst coverage and increased government supervision.

We propose a predictive regression for stock returns in which the parameter variation is driven by economic uncertainty. A locally weighted least squares approach is developed to obtain parameter estimates which are used to generate forecasts of returns for the S&P 500 index. Our results indicate that the time-varying parameter model accounting for the role of economic uncertainty (TVP-EU) significantly improves upon the standard ordinary least squares model and the historical average benchmark.

This study selects A-share private firms in Zhejiang Province and its neighboring provinces in 2018–2021 and finds that private firms’ incentive-based legislation significantly alleviates private firms' financing constraints through a double difference model. The legislation alleviates the financing constraints of private firms by reducing the burden of financial liabilities, broadening financing channels such as operating liabilities, and enhancing debt servicing capacity. The effect of the private firm's incentive-based legislation on alleviating financing constraints is more pronounced in firms that are consistently private, have higher tax burdens, have lower competition in the industry, and do not have internal control deficiencies.

Endogenous growth models exhibit long-run risks, which are considered a potential explanation of the equity premium puzzle. Unlike previous literature, we use a closed-form solution of a simplified model to make the following contributions. First, we derive a set of conditions for a positive and large equity premium. Second, we match a key driver of endogenous growth, the R&D spending-to-GDP ratio. Third, we include a novel discussion on the role of patent obsolescence. Given that the literature concerns the accuracy of loglinear-lognormal solutions, we solve our model numerically with third-order perturbation. We find additional risk correction due to higher-order terms.

Suppose that insurer can control dividend, refinancing and reinsurance strategies dynamically. Different from the past, there are multiple reinsurers rather than sole reinsurer in the market. The insurer aim at finding the optimal strategies for maximizing the company’s value. It illustrates that refinancing can be considered iff the company has strong profitability; It should reduce reinsurance purchase when the surplus increases. The amount of risk ceded to the reinsurer depends on its risk attitude. The optimal dividend policy is of barrier type when the dividend rate is unbounded and is of threshold type when the dividend rate is bounded.