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Author:Loria, Francesca 

Working Paper
Assessing Macroeconomic Tail Risk

What drives macroeconomic tail risk? To answer this question, we borrow a definition of macroeconomic risk from Adrian et al. (2019) by studying (left-tail) percentiles of the forecast distribution of GDP growth. We use local projections (Jord, 2005) to assess how this measure of risk moves in response to economic shocks to the level of technology, monetary policy, and financial conditions. Furthermore, by studying various percentiles jointly, we study how the overall economic outlook?as characterized by the entire forecast distribution of GDP growth?shifts in response to shocks. We find that ...
Working Paper , Paper 19-10

Working Paper
Monetary Policy and the Distribution of Income: Evidence from U.S. Metropolitan Areas

We use Zip code–level Statistics of Income data from the Internal Revenue Service to measure the distribution of income within U.S. metropolitan areas from 1998 through 2019. Exploiting geographic variation in income distribution over time, we study how unanticipated changes in the monetary policy stance shape the subsequent dynamics of income inequality. The results show that monetary policy persistently affects labor income inequality and that these distributional effects are amplified significantly in weak local labor markets.
Working Papers , Paper 25-1

Working Paper
Assessing Macroeconomic Tail Risk

What drives macroeconomic tail risk? To answer this question, we borrow a definition of macroeconomic risk from Adrian et al. (2019) by studying (left-tail) percentiles of the forecast distribution of GDP growth. We use local projections (Jord, 2005) to assess how this measure of risk moves in response to economic shocks to the level of technology, monetary policy, and financial conditions. Furthermore, by studying various percentiles jointly, we study how the overall economic outlook-as characterized by the entire forecast distribution of GDP growth-shifts in response to shocks. We find that ...
Finance and Economics Discussion Series , Paper 2019-026

Discussion Paper
Is Trend Inflation at Risk of Becoming Unanchored? The Role of Inflation Expectations

Since the start of the pandemic, views about the evolution of aggregate consumer prices moved swiftly from concerns about deflation to fears about excessive inflation. It is hard to find a parallel in the history of the U.S. economy—or the global economy more generally—to this rapid reversal of risks to the inflation outlook.
FEDS Notes , Paper 2022-03-31

Working Paper
Inflation at Risk

We investigate how macroeconomic drivers affect the predictive inflation distribution as well as the probability that inflation will run above or below certain thresholds over the near term. This is what we refer to as Inflation-at-Risk–a measure of the tail risks to the inflation outlook. We find that the recent muted response of the conditional mean of inflation to economic conditions does not convey an adequate representation of the overall pattern of inflation dynamics. Analyzing data from the 1970s reveals ample variability in the conditional predictive distribution of inflation that ...
Finance and Economics Discussion Series , Paper 2020-013

Discussion Paper
Monetary Policy and the Distribution of Income: Evidence from U.S. Metropolitan Areas

The steady rise in income inequality and the broad range of actions undertaken by central banks in recent years – first to stabilize the global economy during the 2008-09 financial crisis and second to stave off the pandemic-induced economic collapse – have brought the distributional footprint of monetary policy to the forefront of the economic policymaking discussion (Bernanke, 2015; Draghi, 2016; BIS, 2021).
FEDS Notes , Paper 2025-03-31-2

Working Paper
What is Certain about Uncertainty?

Researchers, policymakers, and market participants have become increasingly focused on the effects of uncertainty and risk on financial market and economic outcomes. This paper provides a comprehensive survey of the many existing measures of risk, uncertainty, and volatility. It summarizes what these measures capture, how they are constructed, and their effects, paying particular attention to large uncertainty spikes, such as those appearing concurrently with the outbreak of COVID-19. The measures are divided into three types: (1) news-based, survey- based, and econometric; (2) asset market ...
International Finance Discussion Papers , Paper 1294

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