2010
DOI: 10.3386/w16397
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Risk, Uncertainty and Monetary Policy

Abstract: In 2013 all ECB publications feature a motif taken from the €5 banknote.note: This Working Paper should not be reported as representing the views of the European Central Bank (ECB). The views expressed are those of the authors and do not necessarily reflect those of the ECB. ABSTRACTThe VIX, the stock market option-based implied volatility, strongly co-moves with measures of the monetary policy stance. When decomposing the VIX into two components, a proxy for risk aversion and expected stock market volatility… Show more

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Cited by 321 publications
(425 citation statements)
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References 43 publications
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“…In line with the literature (see e.g. Bekaert and Hoerova (2010)) the monetary policy stance is measured by the real interest rate in percent r t = i t − π t , where i t equals the monthly average 7 Due to the fact that the inverse of the conditional distribution C −1 t|t−1 does not exist in closed form, the empirical V IX quantile u t = C −1 t|t−1 (0.5| u t−1 ; α, β) can be obtained from the equation 0.5 = C t|t−1 ( u t | u t−1 ; α, β) using a numerical root-finding routine (here: Newton's procedure). Hence, numerical imprecisenesses of the root-finding routine can lead to obvious outliers and can be substituted by local means.…”
Section: Monetary Policy Confidence and Uncertaintysupporting
confidence: 89%
See 1 more Smart Citation
“…In line with the literature (see e.g. Bekaert and Hoerova (2010)) the monetary policy stance is measured by the real interest rate in percent r t = i t − π t , where i t equals the monthly average 7 Due to the fact that the inverse of the conditional distribution C −1 t|t−1 does not exist in closed form, the empirical V IX quantile u t = C −1 t|t−1 (0.5| u t−1 ; α, β) can be obtained from the equation 0.5 = C t|t−1 ( u t | u t−1 ; α, β) using a numerical root-finding routine (here: Newton's procedure). Hence, numerical imprecisenesses of the root-finding routine can lead to obvious outliers and can be substituted by local means.…”
Section: Monetary Policy Confidence and Uncertaintysupporting
confidence: 89%
“…This monetary policy transmission can lead to financial instability and can affect stock market uncertainty. Regarding this literature Bekaert and Hoerova (2010) investigate the direct effect of monetary policy on stock market uncertainty, which seems to be insignificant. However, they derive a link between monetary policy and risk aversion, which potentially affects stock market uncertainty.…”
Section: Introductionmentioning
confidence: 99%
“…investors to bear risk (see also Rigobon and Sack (2004) and Bekaert, Hoerova, and Lo Duca (2010)). Expansionary monetary policy and credit risk-taking followed by restrictive monetary policy possibly led to the financial crisis during the 1990s in Japan (Allen and Gale (2004)), while lower real interest rates preceded banking crises in 47 countries (von Hagen and Ho (2007)).…”
Section: Further Economic Relevancy and Robustnessmentioning
confidence: 99%
“…Engle and Rangel (2008) and Park (2011) both argue that long-term volatility is associated with macroeconomic shocks. More recently, Bekaert, Hoerova, and Duca (2010) show that the VIX commoves with monetary policy shocks. Whereas the short-term volatility componentb 2t is highly correlated with the VIX, we conjecture that it is also related to monetary policy variables.…”
Section: Economic Determinants Of Volatility Componentsmentioning
confidence: 99%