COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. |
University of Cambridge > Talks.cam > Cambridge Finance Workshop Series > Going Negative: The Legal, Institutional, and Political Case for Negative Interest Rates at the U.S. Federal Reserve
Going Negative: The Legal, Institutional, and Political Case for Negative Interest Rates at the U.S. Federal ReserveAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Cerf Admin. For nearly a decade, global central banks have battled a “new normal” of low inflation and low growth. To combat these dynamics, some central banks—the Bank of Japan, the Swiss National Bank, and the European Central Bank, among others—have pursued a policy of dropping their target interest rates below the zero lower bound. Conspicuously absent from this group is the Federal Reserve, despite facing similar economic headwinds that suggest that negative interest rates could be more effective than other policies the Fed has pursued. In this paper, we provide the not merely the economic case for negative interest rates (although we summarize the evidence and theory), but discuss the main barriers that face the Fed in adopting this policy: law, politics, and institutions. We discuss the technical landscape that the Fed will encounter, and discuss the path the Fed can pursue well short of seeking legislative amendment to the Federal Reserve Act. This talk is part of the Cambridge Finance Workshop Series series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsDio-Gandhi equations Centre for Scientific Computing Politics and Paradoxes of Transparency CRASSH Research Group AUTOMATE* Training Opportunities ChEBI Users Meeting (EBI, Hinxton, 19th-20th May).Other talksLua: designing a language to be embeddable Reserved for CambPlants Changing languages in European Higher Education: from official policies to unofficial classroom practices Bayesian optimal design for Gaussian process model |