El Ciclo Financiero Global y las condiciones crediticias en el Perú
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2020-09-13
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Pontificia Universidad Católica del Perú
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El presente documento analiza el efecto del Ciclo Financiero Global sobre las
condiciones crediticias peruanas, las cuales engloban variables financieras como
el crédito del sistema bancario en moneda nacional y extranjera, tasas de interés
preferencial corporativa y los spreads de éstas. Siguiendo a Miranda-Agrippino
et al. (2012) y Rey (2013), se toma al factor global común de los retornos de
activos riesgosos internacionales como una variable que representa la dinámica
del Ciclo Financiero Global. Este trabajo contribuye en la literatura debido a que
aborda este canal de transmisión de choques externos que no ha sido analizado
en el escenario peruano, mediante un análisis empírico de cómo las condiciones
que componen este ciclo financiero mundial afectan a las condiciones crediticias
del Perú, tales como los niveles de crédito del sistema bancario al sector privado
en moneda nacional y extranjera, las tasas de interés preferencial corporativa y
los spreads de éstas con las tasas de pasivos en la moneda correspondiente.
Para este análisis planteado, se usa una estimación Bayesiana de un modelo
SVAR con bloque de exogeneidad, sugerido por Cushman et al. (1997) y Zha
(1999) para describir adecuadamente las dinámicas de la economía global y una
economía pequeña y abierta como la peruana, ante variaciones del factor común
del Ciclo Financiero Global para el período de 1998:1 al 2012:12, con datos
trimestrales.
This paper analyzes the effect of the Global Financial Cycle over the Peruvian credit conditions, which include financial variables such as credit volume from the banking system in national and foreign currency, preferred corporate interest rates in both currencies and their associated spreads. Following Miranda- Agrippino et al. (2012) and Rey (2013), we take the common global factor estimated from the international risky asset returns, as a variable that represents the Global Financial Cycle dynamics. In this context, the paper contributes to the existing literature about external shocks’ impact to the Peruvian economy, and innovates by being the first paper that explores this transmission channel that has been neglected in the Peruvian literature. This paper proposes an empirical analysis of how the conditions that determine the Global Financial Cycle affect the credit market variables in Peru, such as the credit volume from the banking system to the private sector, measured in soles and dollars, the preferred corporate interest rates in both currencies and their associated spreads. In order to perform this analysis, we use the Bayesian estimation for an SVAR model with block exogeneity, as suggested by Cushman et al. (1997) and Zha (1999), to provide an adequate description of the global economy and the small and open economy interactions, given variations in the Global Financial Cycle’s common factor from 1996:4 to 2012:4, with quarterly data.
This paper analyzes the effect of the Global Financial Cycle over the Peruvian credit conditions, which include financial variables such as credit volume from the banking system in national and foreign currency, preferred corporate interest rates in both currencies and their associated spreads. Following Miranda- Agrippino et al. (2012) and Rey (2013), we take the common global factor estimated from the international risky asset returns, as a variable that represents the Global Financial Cycle dynamics. In this context, the paper contributes to the existing literature about external shocks’ impact to the Peruvian economy, and innovates by being the first paper that explores this transmission channel that has been neglected in the Peruvian literature. This paper proposes an empirical analysis of how the conditions that determine the Global Financial Cycle affect the credit market variables in Peru, such as the credit volume from the banking system to the private sector, measured in soles and dollars, the preferred corporate interest rates in both currencies and their associated spreads. In order to perform this analysis, we use the Bayesian estimation for an SVAR model with block exogeneity, as suggested by Cushman et al. (1997) and Zha (1999), to provide an adequate description of the global economy and the small and open economy interactions, given variations in the Global Financial Cycle’s common factor from 1996:4 to 2012:4, with quarterly data.
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Ciclos económicos--Perú, Crédito--Perú, Tasas de interés--Perú, Bancos--Perú
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Licencia Creative Commons
Excepto se indique lo contrario, la licencia de este artículo se describe como info:eu-repo/semantics/openAccess