2017
DOI: 10.1108/jefas-02-2017-0033
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A behavioral analysis of the volatility of interbank interest rates in developed and emerging countries

Abstract: Purpose-This paper aims to analyse the volatility of the fixed income market from 11 countries

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Cited by 10 publications
(3 citation statements)
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“…Como parte del análisis de la información, se corrieron las pruebas de raíz unitaria de Phillips-Perron (PP) y Kwiatkowski-Phillips-Schmidt-Shin (KPSS) (Kwiatkowski et al, 1992). En el primer caso la hipótesis nula (H0) es que la series tiene raíz unitaria; mientras que para la prueba KPSS, H0 es que la serie es estacionaria (Rossetti et al, 2017). Por esta razón, para rechazar H0 en la prueba PP, el valor del estadístico debe ser mayor a los valores tabulados para 90, 95 o 99% de confianza.…”
Section: Materiales Y Métodosunclassified
“…Como parte del análisis de la información, se corrieron las pruebas de raíz unitaria de Phillips-Perron (PP) y Kwiatkowski-Phillips-Schmidt-Shin (KPSS) (Kwiatkowski et al, 1992). En el primer caso la hipótesis nula (H0) es que la series tiene raíz unitaria; mientras que para la prueba KPSS, H0 es que la serie es estacionaria (Rossetti et al, 2017). Por esta razón, para rechazar H0 en la prueba PP, el valor del estadístico debe ser mayor a los valores tabulados para 90, 95 o 99% de confianza.…”
Section: Materiales Y Métodosunclassified
“…The Interest rate is dependent on the loan money, which is usually expressed by a percentage of the money lent (Rossetti et al, 2017). One the interest Rate is the interest rate shown in percent, a specified period (monthly or annually).…”
Section: The Research Variablesmentioning
confidence: 99%
“…The three-factor Nelson-Siegel model is widely practised by central banks and monetary policy makers due to its great performance, however, the model causes many estimation issues due to its extreme non-linear results [5] and [12]. Although, these models achieve certain effects in modelling and forecasting the interest rates or interbank rates data, many studies in recent years applied the Box-Jenkins model due to its good performance in signifying various possible models to be considered to provide adequate insights to the series [4], [6], [7] and [13]. Therefore, this study proposes a univariate model and evaluates multistep ahead forecasting performance of the Malaysian overnight IIR data using the Box-Jenkins model by employing the Maximum Likelihood Estimation (MLE) method to get more robust parameter estimates as elaborated further in next chapter.…”
Section: Literature Reviewmentioning
confidence: 99%