We examine how banks manage carbon transition risk by selling loans given to polluting borrowers to less regulated shadow banks in securitization markets. Exploiting the election of Donald Trump as an exogenous shock that reduces carbon transition risk, we find that banks engage in regulatory arbitrage and use brown loan securitization to manage their exposure to carbon transition risk. Banks are more likely to securitize brown loans when carbon transition risk is high but keep these loans on their balance sheets when the risk is reduced. In addition, securitization enables banks to offer lower interest rates to polluting borrowers but does not affect the supply of green loans. Our findings are more pronounced among banks with low levels of capitalization, domestic banks, and banks that do not display green lending preferences. We discuss how securitization can weaken the effectiveness of bank climate policies.

This study investigates whether and how financial technologies (FinTech) influence the effectiveness of monetary policy transmission. We use an interacted panel vector autoregression model to explore how the effects of monetary policy shocks change with regional-level FinTech adoption. Results indicate that FinTech adoption generally mitigates the transmission of monetary policy to real GDP, consumer prices, bank loans, and housing prices, with the most significant impact observed in the weakened transmission to bank loan growth. The relaxed financial constraints, regulatory arbitrage, and intensified competition are the possible mechanisms underlying the mitigated transmission.

Modigliani and Miller showed the market value of the company is independent of its capital structure, and suggested that dividend policy makes no difference to this law of one price. We experimentally test the Modigliani-Miller theorem in a complete market with two simultaneously traded assets, employing two experimental treatment variations. The first variation involves the dividend stream. According to this variation the dividend payment order is either identical or independent. The second variation involves the market participation, or not, of an algorithmic arbitrageur. We find that Modigliani-Miller’s law of one price can be supported on average with or without an arbitrageur when dividends are identical. The law of one price breaks down when dividend payment order is independent unless there is arbitrageur participation.

This study investigates whether and how financial technologies (FinTech) influence the effectiveness of monetary policy transmission. We use an interacted panel vector autoregression model to explore how the effects of monetary policy shocks change with regional-level FinTech adoption. Results indicate that FinTech adoption generally mitigates the transmission of monetary policy to real GDP, consumer prices, bank loans, and housing prices, with the most significant impact observed in the weakened transmission to bank loan growth. The relaxed financial constraints, regulatory arbitrage, and intensified competition are the possible mechanisms underlying the mitigated transmission.

Mortgage companies (MCs) do not fall under the strict regulatory regime of depository institutions. We empirically show that this gap resulted in regulatory arbitrage and allowed bank holding companies (BHCs) to circumvent consumer compliance regulations, mitigate capital requirements, and reduce exposure to loan-related losses. Compared to bank subsidiaries, MC subsidiaries of BHCs originated riskier mortgages to borrowers with lower credit scores, lower incomes, higher loan-to-income ratios, and higher default rates. Our results imply that precrisis regulations had the capacity to mitigate the deterioration of lending standards if consistently applied and enforced for all types of intermediaries.

I test whether more investor attention leads to a better exploitation of arbitrage opportunities and, in turn, to less mispricing of American Depositary Receipts (ADRs). Using data on 536 stocks I find that more investor attention significantly reduces ADR mispricing.