Global liquidity refers to the volumes of financial flows - largely intermediated through global banks and non-bank financial institutions - that can move at relatively high frequencies across borders. The amplitude of responses to global conditions like risk sentiment, discussed in the context...

This paper explores the relationship between different funding structures--including the source, instrument, currency, and counterparty location of funding--and the extent of financial stress experienced in different countries and sectors during the sharp risk-off shock in early 2020 when...

This study analyzes information production and trading behavior of banks with lending relationships. We combine trade-by-trade supervisory data and credit-registry data to examine banks' proprietary trading in borrower stocks around a large number of corporate events. We find that relationship...

Using text from 200 million pages of 13,000 US local newspapers and machine learning methods, we construct a 170-year-long measure of economic sentiment at the country and state levels, that expands existing measures in both the time series (by more than a century) and the cross-section. Our...

We introduce systematic tests exploiting robust statistical and behavioral patterns in trading to detect fake transactions on 29 cryptocurrency exchanges. Regulated exchanges feature patterns consistently observed in financial markets and nature; abnormal first-significant-digit distributions,...

We characterize how risk evolves during a crisis. Using high-frequency data, we find that the first two principal components (PCs) of the covariance matrix of global asset returns experience large, sudden, and temporary spikes coinciding with well-known crises - Covid-19 pandemic, Global...

Financial crises cause economic, social and political havoc. Macroprudential policies are gaining traction but are still severely under-researched compared to monetary policy and fiscal policy. We use the general framework of sequential predictions also called online machine learning to forecast...

We formulate a quantitative dynamic equilibrium theory of trade in the fed funds market, calibrate it to fit a comprehensive set of marketwide and micro-level cross-sectional observations, and use it to make two contributions to the operational side of monetary policy implementation. First, we...

Do periods of persistently loose monetary policy increase financial fragility and the likelihood of a financial crisis? This is a central question for policymakers, yet the literature does not provide systematic empirical evidence about this link at the aggregate level. In this paper we fill...

Because of secrecy, little is known about the political economy of central bank lending. Utilizing a novel, hand-collected historical daily dataset on loans to commercial banks, we analyze how personal connections matter for lending of last resort, highlighting the importance of governance for...