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Dynamic Stock Dependence and Monetary Variables in the United States (2000- 2016) - A Copula and Neural Network Approach

Miriam Sosa (), Christian Bucio () and Edgar Ortiz Calisto ()
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Miriam Sosa: Universidad Autónoma Metropolitana
Christian Bucio: Universidad Autónoma del Estado de México
Edgar Ortiz Calisto: Universidad Nacional Autónoma de México

Lecturas de Economía, 2022, issue 96, 201-234

Abstract: This paper investigates dynamic dependence between the American Stock Market (S&P 500) and the World Share Market (MSCIW) and examines whether key monetary variables (short and long-term interest rates, interest rate spreads, and exchange rate) explain changes in this relation, during the period January 2000 - June 2016. The methodology includes a Dynamic Copula approach and a Multilayer Perceptron Network. Results suggest that there is interdependence between the American and global stock market and that the dynamic dependence is mainly explained by the short-term interest rate spread, 3-month T-bill’s rate and 3-month London Interbank Offered Rate LIBOR rate.

Keywords: stock market dependence; monetary variables; Copula approach; artificial neural network. (search for similar items in EconPapers)
JEL-codes: C45 C58 D53 E49 G15 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:lde:journl:y:2022:i:96:p:201-234

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DOI: 10.17533/udea.le.n96a345321

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