A Theory of Information overload applied to perfectly efficient financial markets
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- Giuseppe Pernagallo & Benedetto Torrisi, 2020. "A theory of information overload applied to perfectly efficient financial markets," Review of Behavioral Finance, Emerald Group Publishing Limited, vol. 14(2), pages 223-236, October.
References listed on IDEAS
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Cited by:
- Szczygielski, Jan Jakub & Charteris, Ailie & Obojska, Lidia & Brzeszczyński, Janusz, 2024. "Capturing the timing of crisis evolution: A machine learning and directional wavelet coherence approach to isolating event-specific uncertainty using Google searches with an application to COVID-19," Technological Forecasting and Social Change, Elsevier, vol. 205(C).
- Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2024. "Google search trends and stock markets: Sentiment, attention or uncertainty?," International Review of Financial Analysis, Elsevier, vol. 91(C).
- Szczygielski, Jan Jakub & Charteris, Ailie & Bwanya, Princess Rutendo & Brzeszczyński, Janusz, 2023. "Which COVID-19 information really impacts stock markets?," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 84(C).
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More about this item
JEL classification:
- D4 - Microeconomics - - Market Structure, Pricing, and Design
- D9 - Microeconomics - - Micro-Based Behavioral Economics
- G1 - Financial Economics - - General Financial Markets
- G4 - Financial Economics - - Behavioral Finance
NEP fields
This paper has been announced in the following NEP Reports:- NEP-FMK-2019-04-15 (Financial Markets)
- NEP-HPE-2019-04-15 (History and Philosophy of Economics)
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