2015
DOI: 10.1016/j.irfa.2014.11.004
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The effects of quantitative easing on the volatility of the gilt-edged market

Abstract: We model the effects of quantitative easing on the volatility of returns to individual gilts, examining both the effects of QE overall and of the specific days of asset purchases. The action of QE successfully neutralized the six fold increase in volatility that had been experienced by gilts since the start of the financial crisis. The volatility of longer term bonds reduced more quickly than the volatility of short to medium term bonds. The reversion of the volatility of shorter term bonds to pre-crisis level… Show more

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Cited by 17 publications
(23 citation statements)
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“…There are also parallel literatures examining the effects of news on bond market returns and on volatility, for example, Jones et al (1998), Balduzzi et al, 2001, De Goeij andMarquering (2006), Brenner et al (2009), Nowak (2011 and Abad and Chulia (2013). Steeley and Matyushkin (2015) consider the effects of QE on bond market volatility.…”
Section: Quantitative Easing and Financial Marketsmentioning
confidence: 99%
“…There are also parallel literatures examining the effects of news on bond market returns and on volatility, for example, Jones et al (1998), Balduzzi et al, 2001, De Goeij andMarquering (2006), Brenner et al (2009), Nowak (2011 and Abad and Chulia (2013). Steeley and Matyushkin (2015) consider the effects of QE on bond market volatility.…”
Section: Quantitative Easing and Financial Marketsmentioning
confidence: 99%
“…Joyce, Miles, Scott, and Vayanos () support the view that unconventional monetary easing works through the portfolio substitution channel, thus affecting asset prices and investment decisions. According to Steeley and Matyushkin (), quantitative easing can also significantly affect bond market volatility in the case of the UK. Secondly, announcements about monetary easing policies can significantly reduce a country's currency and affect its variability, as shown in a GARCH framework by Kenourgios, Papadamou, and Dimitriou (, ).…”
mentioning
confidence: 99%
“…Since the data is of daily frequency, the general macroeconomic variables, such as the GDP cannot be applied. Consequently, we consider the daily stock return as a proxy of the economic environment changes during the sample period suggested by previous study (Steeley & Matyushkin, 2015). Similarly, when the Fed launched the U.S. QE policies, there were other similar policies implemented by other leading economies from 1 January 2007 to January 2016.…”
Section: Methodology Datamentioning
confidence: 99%
“…Since this study examines the bond yield changes on a daily frequency, it is difficult to incorporate common indicators for economic change, such as, the change in GDP, we therefore use the daily stock return variable as a proxy, as suggested bySteeley and Matyushkin (2015).…”
mentioning
confidence: 99%