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Keywords:high-frequency data 

Working Paper
Investing in the Batteries and Vehicles of the Future: A View Through the Stock Market

A large number of companies operating in the EV and battery supply chain have listed on a major U.S. stock exchange in recent years. This paper investigates 1) how these companies’ stock returns are related to systematic risk factors that can explain movements in the stock market and 2) how these companies’ idiosyncratic returns are related to one another. To do so, I compile a unique data set of intradaily stock returns that spans the supply chain, including companies focused on the mining of battery and EV-related critical minerals, advanced battery technology, lithium-ion battery ...
Working Papers , Paper 2314

Working Paper
Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior

We link the county-level rollout of stay-at-home orders to anonymized cellphone records and consumer spending data. We document three patterns. First, stay-at-home orders caused people to stay at home: county-level measures of mobility declined by between 9% and 13% by the day after the stay-at-home order went into effect. Second, stay-at-home orders caused large reductions in spending in sectors associated with mobility: restaurants and retail stores. However, food delivery sharply increased after orders went into effect. Third, there is substantial county-level heterogeneity in consumer ...
Working Paper Series , Paper WP-2020-12

Working Paper
Systemic Tail Risk: High-Frequency Measurement, Evidence and Implications

We develop a new framework to measure market-wide (systemic) tail risk in the cross-section of high-frequency stock returns. We estimate the time-varying jump intensities of asset prices and introduce a testing approach that identifies multi-asset tail risk based on the release times of scheduled news announcements. Using high-frequency data on individual U.S. stocks and sector-specific ETF portfolios, we find that most of the FOMC announcements create systemic left tail risk, but there is no evidence that macro announcements do so. The magnitude of the tail risk induced by Fed news varies ...
Working Papers , Paper 2023-016

Tracking the Economic Impact of the Pandemic Using High-Frequency Data

High-frequency data can provide a quicker snapshot of economic conditions than data that take weeks or months to become available.
On the Economy

Working Paper
Mind Your Language: Market Responses to Central Bank Speeches

Researchers have carefully studied post-meeting central bank communication and have found that it often moves markets, but they have paid less attention to the more frequent central bankers’ speeches. We create a novel dataset of US Federal Reserve speeches and use supervised multimodal natural language processing methods to identify how monetary policy news affect financial volatility and tail risk through implied changes in forecasts of GDP, inflation, and unemployment. We find that news in central bankers’ speeches can help explain volatility and tail risk in both equity and bond ...
Working Papers , Paper 2023-013

Report
Time variation in asset price responses to macro announcements

Although the effects of economic news announcements on asset prices are well established, these relationships are unlikely to be stable. This paper documents the time variation in the responses of yield curves and exchange rates using high-frequency data from January 2000 through August 2011. Significant time variation in news effects is present for those announcements that have the largest effects on asset prices. The time variation in effects is explained by economic conditions, including the level of policy rates at the time of the news release, and risk conditions: Government bond yields ...
Staff Reports , Paper 626

Working Paper
Do Stay-at-Home Orders Cause People to Stay at Home? Effects of Stay-at-Home Orders on Consumer Behavior

We link the county-level rollout of stay-at-home orders to anonymized cellphone records and consumer spending data. We document three patterns. First, stay-at-home orders caused people to stay at home: county-level measures of mobility declined by between 9% and 13% by the day after the stay-at-home order went into effect. Second, stay-at-home orders caused large reductions in spending in sectors associated with mobility: restaurants and retail stores. However, food delivery sharply increased after orders went into effect. Third, there is substantial county-level heterogeneity in consumer ...
Working Paper Series , Paper WP-2020-12

Working Paper
Sluggish news reactions: A combinatorial approach for synchronizing stock jumps

Stock prices often react sluggishly to news, producing gradual jumps and jump delays. Econometricians typically treat these sluggish reactions as microstructure effects and settle for a coarse sampling grid to guard against them. Synchronizing mistimed stock returns on a fine sampling grid allows us to better approximate the true common jumps in related stock prices.
Working Papers , Paper 2024-006

Working Paper
Mind Your Language: Market Responses to Central Bank Speeches

Researchers have carefully studied post-meeting central bank communication and have found that it often moves markets, but they have paid less attention to the more frequent central bankers’ speeches. We create a novel dataset of US Federal Reserve speeches and develop supervised multimodal natural language processing methods to identify how monetary policy news affect financial volatility and tail risk through implied changes in forecasts of GDP, inflation, and unemployment. We find that news in central bankers’ speeches can help explain volatility and tail risk in both equity and bond ...
Working Papers , Paper 2023-013

Working Paper
Heterogeneity in the Marginal Propensity to Consume: Evidence from Covid-19 Stimulus Payments

We identify 22,461 recipients of Covid-19 Economic Impact Payments in anonymized transaction-levelbank account data from Facteus. We use an event study framework to show that in the two weeks followinga $1,200 stimulus payment in April 2020, consumers increased spending by $546, implying a marginalpropensity to consume of 46%. Consumers used an additional 10% of the stimulus payment to pay offdebt. Consumer spending fell to normal levels after two weeks. Stimulus recipients who live paycheckto-paycheck spent 60% of the stimulus payment within two weeks, while recipients who save much oftheir ...
Working Paper Series , Paper WP-2020-15

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