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Working Paper
Macroeconomic and Financial Risks: A Tale of Mean and Volatility
Caldara, Dario; Scotti, Chiara; Zhong, Molin (2021-08-19)
We study the joint conditional distribution of GDP growth and corporate credit spreads using a stochastic volatility VAR. Our estimates display significant cyclical co-movement in uncertainty (the volatility implied by the conditional distributions), and risk (the probability of tail events) between the two variables. We also find that the interaction between two shocks--a main business cycle shock as in Angeletos et al. (2020) and a main financial shock--is crucial to account for the variation in uncertainty and risk, especially around crises. Our results highlight the importance of using ...
International Finance Discussion Papers , Paper 1326

Working Paper
Investor Sentiment and the (Discretionary) Accrual-return Relation
Sun, Bo; Jiang, Jiajun; Liu, Qi (2020-09-18)
Discretionary accruals are positively associated with stock returns at the aggregate level but negatively so in the cross section. Using Baker-Wurgler investor sentiment index, we find that a significant presence of sentiment-driven investors is important in accounting for both patterns. We document that the aggregate relation is only prominent during periods of high investor sentiment. Similarly, the cross-section relation is considerably stronger in high-sentiment periods in both economic magnitude and statistical significance. We then embed investor sentiment into a stylized model of ...
International Finance Discussion Papers , Paper 1300

Working Paper
News and Uncertainty about COVID-19: Survey Evidence and Short-Run Economic Impact
Kuester, Keith; Schoenle, Raphael; Dietrich, Alexander; Muller, Gernot J. (2021-12-22)
A tailor-made survey documents consumer perceptions of the U.S. economy’s response to a large shock: the advent of the COVID-19 pandemic. The survey ran at a daily frequency between March 2020 and July 2021. Consumer perceptions regarding output and inflation react rapidly. Uncertainty is pervasive. A business-cycle model calibrated to the consumer views provides an interpretation. The rise in household uncertainty amplifies the pandemic recession by a factor of three. Different perceptions about monetary policy can explain why consumers and professional forecasters agree on the ...
Working Papers , Paper 20-12R

Working Paper
News-driven uncertainty fluctuations
Song, Dongho; Tang, Jenny (2018-01-01)
We embed a news shock, a noisy indicator of the future state, in a two-state Markov-switching growth model. Our framework, combined with parameter learning, features rich history-dependent uncertainty dynamics. We show that bad news that arrives during a prolonged economic boom can trigger a ?Minsky moment??a sudden collapse in asset values. The effect is greatly amplified when agents have a preference for early resolution of uncertainty. We leverage survey recession probability forecasts to solve a sequential learning problem and estimate the full posterior distribution of model primitives. ...
Working Papers , Paper 18-3

Working Paper
Reshoring, Automation, and Labor Markets Under Trade Uncertainty
Leduc, Sylvain; Liu, Zheng (2024-05-05)
We study the implications of trade uncertainty for reshoring, automation, and U.S. labor markets. Rising trade uncertainty creates incentive for firms to reduce exposures to foreign suppliers by moving production and distribution processes to domestic producers. However, we argue that reshoring does not necessarily bring jobs back to the home country or boost domestic wages, especially when firms have access to labor-substituting technologies such as automation. Automation improves labor productivity and facilitates reshoring, but it can also displace jobs. Furthermore, automation poses a ...
Working Paper Series , Paper 2024-16

Working Paper
The political polarization index
Azzimonti-Renzo, Marina (2013)
American politics have become increasingly polarized in recent decades. To the extent that political polarization introduces uncertainty about economic policy, this pattern may have adversely affected the economy. According to existing theories, a rise in the volatility of fiscal shocks faced by individuals should result in a decline in economic activity. Moreover, if polarization is high around election dates, businesses and households may be induced to delay decisions that involve high reversibility costs (such as investment or hiring under search costs). Testing these theories has been ...
Working Papers , Paper 13-41

Report
Have financial markets become more informative?
Philippon, Thomas; Bai, Jennie; Savov, Alexi (2012)
The finance industry has grown. Financial markets have become more liquid. Information technology has improved. But have prices become more informative? Using stock and bond prices to forecast earnings, we find that the information content of market prices has not increased since 1960. The magnitude of earnings surprises, however, has increased. A baseline model predicts that as the efficiency of information production increases, prices become more disperse and covary more strongly with future earnings. The forecastable component of earnings improves capital allocation and serves as a direct ...
Staff Reports , Paper 578

Conference Paper
Certainty equivalence - discussion
Wieland, Volker W. (2005)
Proceedings

Working Paper
Attention and a Paradox of Uncertainty
Chiang, Yu-Ting (2024-10-08)
I show that macroeconomic uncertainty during recessions can arise from people paying more attention to aggregate events. When information is dispersed, people's attempts to acquire more information can lead to higher aggregate volatility, forecast dispersion, and uncertainty about aggregate output. Information rigidity is reduced, consistent with evidence in forecast surveys, and distinct from the prediction of exogenous volatility shocks. When the model is calibrated to U.S. data, endogenous attention accounts for half of the observed fluctuations in volatility, forecast dispersion, and ...
Working Papers , Paper 2022-004

Report
Estimating a structural model of herd behavior in financial markets
Cipriani, Marco; Guarino, Antonio (2012)
We develop a new methodology for estimating the importance of herd behavior in financial markets. Specifically, we build a structural model of informational herding that can be estimated with financial transaction data. In the model, rational herding arises because of information-event uncertainty. We estimate the model using 1995 stock market data for Ashland Inc., a company listed on the New York Stock Exchange. Herding occurs often and is particularly pervasive on certain days. In an information-event day, on average, 2 percent (4 percent) of informed traders herd-buy (sell). In 7 percent ...
Staff Reports , Paper 561

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