When it comes to finance, ‘normal’ data is actually pretty weird

When business researchers analyze data, they often rely on assumptions to help make sense of what they find. But like anyone else, they can run into a whole lot of trouble if those assumptions turn out to be wrong – which may happen more often than they realize. That’s what we found in a recent study looking at financial data from about a thousand major U.S. companies.

Is Fedwire Still a Subsidy That Fully Recovers Its Cost?

The Federal Reserve is experiencing something new in its history: sustained and sizable operating losses. These losses—currently running at more than $100 billion a year on an annualized basis—stem largely from the sharp rise in short-term interest rates, which has increased the interest the Fed pays on bank reserves while the income from its long-term securities portfolio remains comparatively low.

The impact of climate litigation risk on firms’ cost of bank loans

Using a novel worldwide dataset of 5,264 syndicated loans issued to 329 firms from 2006 to 2021, we study how climate-related litigation risk affects firm’s cost of borrowing. We find robust empirical evidence that firms targeted by climate lawsuits pay significantly higher spreads on their bank loans. These effects are more pronounced for firms with weaker environmental performance and higher ESG controversies. The results suggest that lender’s view climate litigation as a material risk factor, which is increasingly priced into debt contracts.

For America’s 35M small businesses, tariff uncertainty hits especially hard

Imagine it’s April 2025 and you’re the owner of a small but fast-growing e-commerce business. Historically, you’ve sourced products from China, but the president just announced tariffs of 145% on these goods. Do you set up operations in Thailand – requiring new investment and a lot of work – or wait until there’s more clarity on trade? What if waiting too long means you miss your chance to pull it off?

Beyond averages: heterogeneous effects of monetary policy in a HANK model for the euro area

We introduce an estimated medium scale Heterogeneous-Agent New Keynesian model for forecasting and policy analysis in the Euro Area and discuss the applications of this type of models in central banks, focusing on two main exercises. First, we examine an alternative scenario for monetary policy during the early 2020s inflationary episode, showing that earlier hikes in interest rates would have affected more strongly households at the lower end of the wealth distribution, whose consumption our model suggests was already depressed relative to the rest of the population.

Hand-to-mouth banks: deposit inflows and the marginal propensity to lend

In modern macroeconomics, the marginal propensity to consume out of transitory income shocks is a central object of interest. This paper empirically explores a parallel concept in banking: the marginal propensity to lend out of unsolicited deposit inflows (MPLD). Using county-level dividend payouts as an instrument for deposit inflows, I estimate the MPLD for U.S. banks and show that before QE, the average bank operated “hand-to-mouth” — it transformed approximately every dollar of deposit inflow into new loans, consistent with tight liquidity constraints.

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