Is the Covid equity bubble rational? A machine learning answer
Ohana, Jean Jacques; Benhamou, Éric; Saltiel, David; Guez, Beatrice (2021), Is the Covid equity bubble rational? A machine learning answer. https://basepub.dauphine.psl.eu/handle/123456789/22202
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Type
Document de travail / Working paperDate
2021Titre de la collection
Preprint LamsadeVille d’édition
Paris
Métadonnées
Afficher la notice complèteAuteur(s)
Ohana, Jean JacquesBenhamou, Éric
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Saltiel, David
Guez, Beatrice
Résumé (EN)
Is the Covid Equity bubble rational? In 2020, stock prices ballooned with S&P 500 gaining 16%, and the tech-heavy Nasdaq soaring to 43%, while fundamentals deteriorated with decreasing GDP forecasts, shrinking sales and revenues estimates and higher government deficits. To answer this fundamental question, with little bias as possible, we explore a gradient boosting decision trees (GBDT) approach that enables us to crunch numerous variables and let the data speak. We define a crisis regime to identify specific downturns in stock markets and normal rising equity markets. We test our approach and report improved accuracy of GBDT over other ML methods. Thanks to Shapley values, we are able to identify most important features, making this current work innovative and a suitable answer to the justification of current equity level.Mots-clés
Covid EquityPublications associées
Affichage des éléments liés par titre et auteur.
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Benhamou, Éric; Ohana, Jean; Saltiel, David; Guez, Beatrice (2021) Document de travail / Working paper
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Benhamou, Éric; Ohana, Jean; Saltiel, David; Guez, Beatrice (2021) Document de travail / Working paper
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Benhamou, Éric; Saltiel, David; Ohana, Jean-Jacques; Atif, Jamal; Laraki, Rida Communication / Conférence
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Ohana, J; Ohana, S; Benhamou, Éric; Saltiel, D; Guez, B (2021) Document de travail / Working paper
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Benhamou, Éric; Saltiel, David; Guez, Beatrice; Paris, Nicolas (2020) Document de travail / Working paper