In a previous post, we provided background information about the emergence of tokenized investment funds and their use cases. These use cases are currently limited to the digital asset ecosystem. However, the recent approval of cryptocurrency exchange-traded funds (ETFs) and the passage of the GENIUS Act raise concerns about the impact of these tokenized investment fund to the broader financial system. In this post, we assess this impact by considering three economic mechanisms based in part ...| Liberty Street Economics
A blockchain is a distributed database where independent computers across the world maintain identical copies of a transaction record, updating it only when the network reaches consensus on new transactions—making the history transparent and extraordinarily difficult to alter. Historically, bonds have traded almost entirely in over-the-counter (OTC) markets, while equities and money market fund shares have largely settled through centralized infrastructures such as stock exchanges and cen...| Liberty Street Economics
Global factors, like monetary policy rates from advanced economies and risk conditions, drive fluctuations in volumes of international capital flows and put pressure on exchange rates. The components of international capital flows that are described as global liquidity—consisting of cross-border bank lending and financing of issuance of international debt securities—have sensitivities to risk conditions that have evolved considerably over time. This risk sensitivity has been driven, in pa...| Liberty Street Economics
A look at the economic forecasts generated by the Federal Reserve Bank of New York’s dynamic stochastic general equilibrium (DSGE) model.| Liberty Street Economics
The swift advancement of artificial intelligence (AI) has sparked significant concern that this new technology will replace jobs and stifle hiring. To explore the effects of AI on employment, our August regional business surveys asked firms about their adoption of AI and if they had made any corresponding adjustments to their workforces. Businesses reported a notable increase in AI use over the past year, yet very few firms reported AI-induced layoffs. Indeed, for those already employed, our ...| Liberty Street Economics
Bank supervisors, industry analysts, and academic researchers rely on a range of metrics to track the health of both individual banks and the banking system as a whole. Many of these metrics focus on bank solvency—the likelihood that a bank will be able to repay its obligations and thus retain its funding and continue to supply services to consumers, businesses, and other financial institutions. We draw on our recent research to describe a new solvency metric that is more forward-looking, m...| Liberty Street Economics
Understanding the economic and financial consequences of natural disasters is a major concern for researchers and policymakers. The way in which overlapping natural disaster systems interact, as exemplified by the recent fires in Los Angeles being exacerbated by strong winds, is a major area of study in environmental science but has received comparatively little attention in the economics literature. Examining these potential interactions would likely be important for financial institutions, ...| Liberty Street Economics
The rapid rise in Artificial Intelligence (AI) has the potential to dramatically change the labor market, and indeed possibly even the nature of work itself. However, how firms are adjusting their workforces to accommodate this emerging technology is not yet clear. Our August regional business surveys asked manufacturing and service firms special topical questions about their use of AI, and how it is changing their workforces. Most firms that report expected AI use in the next six months pl...| Liberty Street Economics
An update of the economic forecasts generated by the NY Fed's dynamic stochastic general equilibrium (DSGE) model--forecast and its change since March 2025.| Liberty Street Economics