Knowledge that Transforms

This study examines the influence of global board reforms on cross-border mergers and acquisitions (CBMAs). Using a difference-in-differences methodology, we find that CBMA flows increase significantly following board reforms in both home and host countries. The effect is more pronounced for countries with relatively weaker external governance mechanisms compared to their counterparts. Our findings suggest that board reforms enhance board functions, thereby facilitating firms' outbound investments. Simultaneously, improved board governance mitigates acquisition risks, attracting inward investments and, consequently, stimulating CBMA flows.

We use a unique dataset on domestic pension fund investments to estimate the relationship between pension fund investment and innovation within Danish unlisted firms. We find a significant positive association between pension fund investment and various measures of innovation, including those targeting green technologies. However, this association is attenuated in highly competitive industries, consistent with a governance channel through which pension funds exert discipline on managers. Overall, our study underscores the important role of pension funds in supporting firm innovation, particularly by reducing managerial slack and by supplying stable, long-term capital to unlisted firms.

Reliable asset price data are critical for the functioning of decentralized finance (DeFi) protocols, particularly those involving collateralized lending. The accuracy of blockchain-based price oracles directly affects key processes such as collateral valuation, liquidation, and risk management. This paper presents a comprehensive empirical analysis of Chainlink Price Feeds (CPFs), the dominant oracle infrastructure in DeFi. We compile a novel dataset of over 150 million observations from 40 CPFs on Ethereum over an 18-month period, matched to benchmark prices from a centralized exchange. To identify the determinants of oracle inaccuracy, we estimate pooled OLS and fixed effects regressions, relating price deviations to design parameters, reporter dynamics, and market conditions. We then introduce a Markov-like state transition framework to model the resolution of target corridor violations, using multinomial logistic regression to estimate transition probabilities. Finally, we exploit position-level data from one of the largest decentralized lending markets and apply entity fixed effects regressions to examine how users adjust collateralization in response to oracle design. Our findings highlight economically significant deviations that are systematically related to oracle accuracy configurations and market stress, and show that users internalize these risks in their financial decisions. The results offer new insights for the design of resilient oracle systems and the management of risk in decentralized financial markets.

We provide evidence that the geographical segmentation of the municipal bond market — induced by state tax exemptions — leads banks to diversify their mortgage lending across states. Municipal bond holdings expose banks to local real-estate risk: these securities are largely backed by property-tax revenues with high elasticity to house prices. Consistent with a diversification motive, the effect is stronger for banks with weaker balance sheets, for those whose mortgage lending is highly concentrated in their home state, and towards areas whose housing markets are less correlated with those of the home state. Interestingly, this out-of-state expansion is accompanied by a relaxation of lending standards, as banks approve mortgages with lower FICO scores and higher debt-to-income ratios, which subsequently results in more non-performing loans. The relaxation of lending standards emerges in states where banks lack branch presence and in highly competitive markets, where expanding requires attracting borrowers through looser screening. Diversification thus may generate risk-taking as a by-product.