The drastic banking reform within Central and Eastern Europe following the collapse of the Soviet Union provides an ideal quasi-experimental design to examine the causal effects of institutional development on accounting quality (AQ). We find that banking reform spurs significant improvement in predictive power of earnings and reductions in earnings smoothing, earnings-inflating discretionary provisions, and avoidance of reporting losses. These effects hold under alternative model specifications and after considering concurrent institutional developments. In contrast, corporate reform shows no such effects, refuting the alternative explanation that unobserved factors affect both reform speed in general and the quality of financial reporting. We further identify four specific reformative actions that are integral to the drastic banking reform process where prudential regulation contributes the most to the observed AQ improvement. It supports the conjecture that banking reform improves AQ by reducing banks' risk-taking behaviors and, as a result, their motive behind accounting manipulation.

We examine whether household income influences the trading styles of retail investors and their investment performance. To investigate this question, we use a unique dataset of branch-level trading that contains all retail investors and observe that those investors with high income trade more and earn significantly higher returns in the stock market. In addition, this income effect becomes stronger for highly risky stocks, such as gambling or lottery-like stocks. These findings are in line with the information model theorized by Peress (2004) in which wealthy investors take extra risks by trading more stocks.

Young people are marching around the globe to ask for measures against climate change and to protect the environment. Using novel survey data, we ask who participates in such powerful movements and what can be learned from our findings. The survey was conducted in German and is based on answers from more than 600 participants. We find that survey respondents are less likely to participate in climate marches like “Fridays for Future” in case they trust more in (large) corporations suggesting a link between trust and climate activism. We also ask whether worries about climate change or attitudes towards more environmentally friendly behavior match their participation frequency in climate marches. Results reveal that respondents being more worried about climate change or the environment tend to participate more often in marches addressing these concerns. Similarly, participation in climate marches correlates positively with acting environmentally sustainable. Hence, our findings might be relevant for corporations in case they want to keep the support of young customers participating in climate marches.

This paper investigates whether state-to-state political ties with the United States affect the pricing of global syndicated loans. We find that a one-standard-deviation improvement in state political ties between the U.S. and the government of a borrower’s home country is associated with a 14.7 basis points lower loan spread, shaving off about 11.8 million USD in interest payments over the duration of the average loan for borrowers. Results also show that the effect of political ties is stronger for narrower and more concentrated loan syndicates, when lead arrangers are U.S. banks, during periods in which the U.S. is engaged in armed conflicts, when the U.S. president belongs to the Republican Party, and for borrowers with better balance sheets and prior lending relationships. Notably, not all firms benefit equally, as cross-listed firms and firms in countries with strong institutional quality and ability to attract institutional investors are much less affected by political ties.

We investigate the relation between political uncertainty and bank loan spreads using a sample of loan contracts for the G20 firms during the period from 1982 to 2015. We find that banks charge firms higher loan spreads and require more covenants during election years when domestic political risks are elevated. Greater differences in the support ratios of opinion polls on candidates lead to the lower cost of bank loans. This political effect also lessens when the government quality of the borrower’s country is better than that of the lender’s country. Better quality government can lower the political risk component of bank loan spreads.

<p>Lowering carbon intensity in manufacturing is necessary to transform current production technologies. We test if local agents’ preferences, revealed by vote shares for the Green party during local elections in Germany, relate to the carbon intensity of investments in production technologies. Our sample comprises all investment choices made by manufacturing establishments from 2005-2017. Our results suggest that ecological preferences correlate with significantly fewer carbon-intensive investment projects while investments stimulating growth and reducing carbon emissions increase by 14 percentage points. Both results are more distinct in federal states where the Green Party enjoys political power and local ecological preferences are high.</p>

We investigate how optimal attention allocation of green-motivated investors changes information asymmetry in financial markets and thus affects firms‘ financing costs. To guide our empirical analysis, we propose a model where investors with heterogeneous green preferences endogenously allocate limited attention to learn market-level or firm-specific fundamental shocks. We find that a higher fraction of green investors in the market leads to higher aggregate attention to green firms. This reduces the information asymmetry of green firms, leading to higher price informativeness and lower leverage. Moreover, the information asymmetry of brown firms and the market increases with the share of green investors. Therefore, greater green attention is associated with less market efficiency. We provide empirical evidence to support our model predictions using U.S. data. Our paper shows how the growing demand for sustainable investing shifts investors‘ attention and benefits eco-friendly firms.

<p>Competition in the U.S. appears to have declined. One contributing factor may have been heterogeneity in the availability of credit during the financial crisis. I examine the impact of product market peer credit constraints on long-run competitive outcomes and behavior among non-financial firms. I use measures of lender exposure to the financial crisis to create a plausibly exogenous instrument for product market credit availability. I find that credit constraints of product market peers positively predict growth in sales, market share, profitability, and markups. This is consistent with the notion that firms gained at the expense of their credit constrained peers. The relationship is robust to accounting for other sources of inter-firm spillovers, namely credit access of technology network and supply chain peers. Further, I find evidence of strategic investment, i.e. the idea that firms increase investment in response to peer credit constraints to commit to deter entry mobility. This behavior may explain why temporary heterogeneity in the availability of credit appears to have resulted in a persistent redistribution of output across firms.</p>

This paper shows that local banking market conditions affect mortality rates in the United States. Exploiting the staggered relaxation of branching restrictions in the 1990s across states, we find that banking deregulation decreases local mortality rates. This effect is driven by a decrease in the mortality rate of black residents, implying a decrease in the black-white mortality gap. We further analyze the role of mortgage markets as a transmitter between banking deregulation and mortality and show that households' easier access to finance explains mortality dynamics. We do not find any evidence that our results can be explained by improved labor outcomes.

<p>Syndicated loan data provided by DealScan is an essential input in banking research. This data is rich enough to answer urging questions on bank lending, e.g., in the presence of financial shocks or climate change. However, many data options raise the question of how to choose the estimation sample. We employ a standard regression framework analyzing bank lending during the financial crisis of 2007/08 to study how conventional but varying usages of DealScan affect the estimates. The key finding is that the direction of coefficients remains relatively robust. However, statistical significance depends on the data and sampling choice and we provide guidelines for applied research.</p>