Cryptocurrency Volatility Markets
Fabian Wöbbeking
Digital Finance,
No. 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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The Joint Dynamics of Sovereign Ratings and Government Bond Yields
Makram El-Shagi, Gregor von Schweinitz
Journal of Banking and Finance,
2018
Abstract
Can a negative shock to sovereign ratings invoke a vicious cycle of increasing government bond yields and further downgrades, ultimately pushing a country toward default? The narratives of public and political discussions, as well as of some widely cited papers, suggest this possibility. In this paper, we will investigate the possible existence of such a vicious cycle. We find no evidence of a bad long-run equilibrium and cannot confirm a feedback loop leading into default as a transitory state for all but the very worst ratings. We use a bivariate semiparametric dynamic panel model to reproduce the joint dynamics of sovereign ratings and government bond yields. The individual equations resemble Pesaran-type cointegration models, which allow for valid interference regardless of whether the employed variables display unit-root behavior. To incorporate most of the empirical features previously documented (separately) in the literature, we allow for different long-run relationships in both equations, nonlinearities in the level effects of ratings, and asymmetric effects in changes of ratings and yields. Our finding of a single good equilibrium implies the slow convergence of ratings and yields toward this equilibrium. However, the persistence of ratings is sufficiently high that a rating shock can have substantial costs if it occurs at a highly speculative rating or lower. Rating shocks that drive the rating below this threshold can increase the interest rate sharply, and for a long time. Yet, simulation studies based on our estimations show that it is highly improbable that rating agencies can be made responsible for the most dramatic spikes in interest rates.
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On the Twin Deficits Hypothesis and the Import Intensity in Transition Countries
Hubert Gabrisch
International Economics and Economic Policy,
No. 2,
2015
Abstract
This article aims to explain the increasing deficits in the trade and current account balances of three post-transition countries–Czech Republic, Hungary, and Poland–by testing two hypotheses: the twin deficit hypothesis and increasing import intensity of export production. The method uses co-integration and related techniques to test for a long-run causal relationship between the fiscal and external deficits of three post-transition countries in Central and Eastern Europe. In addition, an import intensity model is tested by applying OLS and GMM. All the results reject the Twin Deficits Hypothesis. Instead, the results demonstrate that specific transition factors such as net capital flows and, probably, a high import intensity of exports affect the trade balance.
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The Joint Dynamics of Sovereign Ratings and Government Bond Yields
Makram El-Shagi, Gregor von Schweinitz
Abstract
In the present paper, we build a bivariate semiparametric dynamic panel model to repro-duce the joint dynamics of sovereign ratings and government bond yields. While the individual equations resemble Pesaran-type cointegration models, we allow for different long-run relationships in both equations, nonlinearities in the level effect of ratings, and asymmetric effects in changes of ratings and yields. We find that the interest rate equation and the rating equation imply significantly different long-run relationships. While the high persistence in both interest rates and ratings might lead to the misconception that they follow a unit root process, the joint analysis reveals that they converge slowly to a joint equilibrium. While this indicates that there is no vicious cycle driving countries into default, the persistence of ratings is high enough that a rating shock can have substantial costs. Generally, the interest rate adjusts rather quickly to the risk premium that is in line with the rating. For most ratings, this risk premium is only marginal. However, it becomes substantial when ratings are downgraded to highly speculative (a rating of B) or lower. Rating shocks that drive the rating below this threshold can increase the interest rate sharply, and for a long time. Yet, simulation studies based on our estimations show that it is highly improbable that rating agencies can be made responsible for the most dramatic spikes in interest rates.
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Risk and Return - Is there an Unholy Cycle of Ratings and Yields?
Makram El-Shagi, Gregor von Schweinitz
Economics Letters,
2015
Abstract
After every major financial crisis, the question about the responsibility of the rating agencies resurfaces. Regarding government bonds, the most frequently voiced concern targeted “unreasonably” bad ratings that might trigger capital flights and increasing risk premia which sanction further rating downgrades. In this paper we develop a multivariate, nonparametric version of the Pesaran type cointegration model that allows for nonlinearities, to show that a unique equilibrium between ratings and sovereign yields exists. Therefore, we have to reject the concern that there is an unholy cycle leading to certain default in the long run.
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Do Better Capitalized Banks Lend Less? Long-run Panel Evidence from Germany
Claudia M. Buch, Esteban Prieto
International Finance,
No. 1,
2014
Abstract
Higher capital features prominently in proposals for regulatory reform. But how does increased bank capital affect business loans? The real costs of increased bank capital in terms of reduced loans are widely believed to be substantial. But the negative real-sector implications need not be severe. In this paper, we take a long-run perspective by analysing the link between the capitalization of the banking sector and bank loans using panel cointegration models. We study the evolution of the German economy for the past 44 years. Higher bank capital tends to be associated with higher business loan volume, and we find no evidence for a negative effect. This result holds both for pooled regressions as well as for the individual banking groups in Germany.
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Note on the Hidden Risk of Inflation
Makram El-Shagi, Sebastian Giesen
Journal of Economic Policy Reform,
No. 1,
2014
Abstract
The continued expansionary policy of the Federal Reserve gives rise to speculation whether the Fed will be able to maintain price stability in the coming decades. Most of the scientific work relating money to prices relies on broad monetary aggregates (i.e. M2 for the United States). In our paper, we argue that this view falls short. The historically unique monetary expansion has not yet fully reached M2. Using a cointegration approach, we aim to show the hidden risks for the future development of M2 and correspondingly prices. In a simulation analysis we show that even if the multiplier remains substantially below its pre-crisis level, M2 will exceed its current growth path with a probability of 95%.
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An Evolutionary Algorithm for the Estimation of Threshold Vector Error Correction Models
Makram El-Shagi
International Economics and Economic Policy,
No. 4,
2011
Abstract
We develop an evolutionary algorithm to estimate Threshold Vector Error Correction models (TVECM) with more than two cointegrated variables. Since disregarding a threshold in cointegration models renders standard approaches to the estimation of the cointegration vectors inefficient, TVECM necessitate a simultaneous estimation of the cointegration vector(s) and the threshold. As far as two cointegrated variables are considered, this is commonly achieved by a grid search. However, grid search quickly becomes computationally unfeasible if more than two variables are cointegrated. Therefore, the likelihood function has to be maximized using heuristic approaches. Depending on the precise problem structure the evolutionary approach developed in the present paper for this purpose saves 90 to 99 per cent of the computation time of a grid search.
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Consumption and Income in the Euro Area: Empirical Evidence Based on Panel Cointegration Methods
Christian Dreger, Hans-Eggert Reimers
Einzelveröffentlichungen,
No. 1,
2005
Abstract
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