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Machine Learning Sentiment Analysis, Covid-19 News and Stock Market Reactions
(2020-09-15)
The possibility to investigate the impact of news on stock prices has observed a strong evolution thanks to the recent use of natural language processing (NLP) in finance and economics. In this paper, we investigate COVID-19 ...
Resiliency: Cross-Venue Dynamics with Hawkes Processes
(2020-10-16)
Market fragmentation and technological advances increasing the speed of trading altered the functioning and stability of global equity limit order markets. Taking market resiliency as an indicator of market quality, we ...
The FOMC Risk Shift
(2021-01-27)
We identify a component of monetary policy news that is extracted from high-frequency changes in risky asset prices. These surprises, which we call “risk shifts”, are uncorrelated, and therefore complementary, to risk-free ...
A Modern Take on Market Efficiency: The Impact of Trump’s Tweets on Financial Markets
(2021-05-06)
We focus on the role of social media as a high-frequency, unfiltered mass information transmission channel and how its use for government communication affects the aggregate stock markets. To measure this effect, we ...
Volatility, Valuation Ratios, and Bubbles: An Empirical Measure of Market Sentiment
(2021-03-24)
We define a sentiment indicator that exploits two contrasting views of return predictability, and study its properties. The indicator, which is based on option prices, valuation ratios and interest rates, was unusually ...
Market impact of government communication: The case of presidential tweets
(2021-10-06)
"We propose the ""President reacts to news"" channel of stock returns by studying the financial market impact of the Twitter account of the 45th president of the United States, Donald Trump. We use machine learning algorithms ...
Call of duty: Designated market maker participation in call auctions
(2021-08-21)
Many equity markets combine continuous trading and call auctions. Oftentimes designated market makers (DMMs) supply additional liquidity. Whereas prior research has focused on their role in continuous trading, we provide ...