Cryptocurrency Volatility Markets
Fabian Wöbbeking
Digital Finance,
Nr. 3,
2021
Abstract
By computing a volatility index (CVX) from cryptocurrency option prices, we analyze this market’s expectation of future volatility. Our method addresses the challenging liquidity environment of this young asset class and allows us to extract stable market implied volatilities. Two alternative methods are considered to compute volatilities from granular intra-day cryptocurrency options data, which spans over the COVID-19 pandemic period. CVX data therefore capture ‘normal’ market dynamics as well as distress and recovery periods. The methods yield two cointegrated index series, where the corresponding error correction model can be used as an indicator for market implied tail-risk. Comparing our CVX to existing volatility benchmarks for traditional asset classes, such as VIX (equity) or GVX (gold), confirms that cryptocurrency volatility dynamics are often disconnected from traditional markets, yet, share common shocks.
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Extreme Risks in Financial Markets and Monetary Policies of the Euro-candidates
Hubert Gabrisch, Lucjan T. Orlowski
Comparative Economic Studies,
Nr. 4,
2011
Abstract
This study investigates extreme tail risks in financial markets of the euro-candidate countries and their implications for monetary policies. Our empirical tests show the prevalence of extreme risks in the conditional volatility series of selected financial variables, that is, interbank rates, equity market indexes and exchange rates. We argue that excessive instability of key target and instrument variables should be mitigated by monetary policies. Central banks in these countries will be well-advised to use both standard and unorthodox (discretionary) tools of monetary policy while steering their economies out of the financial crisis and through the euro-convergence process.
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The Extreme Risk Problem for Monetary Policies of the Euro-Candidates
Hubert Gabrisch, Lucjan T. Orlowski
Abstract
We argue that monetary policies in euro-candidate countries should also aim at mitigating excessive instability of the key target and instrument variables of monetary policy during turbulent market periods. Our empirical tests show a significant degree of leptokurtosis, thus prevalence of tail-risks, in the conditional volatility series of such variables in the euro-candidate countries. Their central banks will be well-advised to use both standard and unorthodox (discretionary) tools of monetary policy to mitigate such extreme risks while steering their economies out of the crisis and through the euroconvergence process. Such policies provide flexibility that is not embedded in the Taylor-type instrument rules, or in the Maastricht convergence criteria.
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