Tail-risk Protection Trading Strategies
Natalie Packham, Jochen Papenbrock, Peter Schwendner, Fabian Wöbbeking
Quantitative Finance,
No. 5,
2017
Abstract
Starting from well-known empirical stylized facts of financial time series, we develop dynamic portfolio protection trading strategies based on econometric methods. As a criterion for riskiness, we consider the evolution of the value-at-risk spread from a GARCH model with normal innovations relative to a GARCH model with generalized innovations. These generalized innovations may for example follow a Student t, a generalized hyperbolic, an alpha-stable or a Generalized Pareto distribution (GPD). Our results indicate that the GPD distribution provides the strongest signals for avoiding tail risks. This is not surprising as the GPD distribution arises as a limit of tail behaviour in extreme value theory and therefore is especially suited to deal with tail risks. Out-of-sample backtests on 11 years of DAX futures data, indicate that the dynamic tail-risk protection strategy effectively reduces the tail risk while outperforming traditional portfolio protection strategies. The results are further validated by calculating the statistical significance of the results obtained using bootstrap methods. A number of robustness tests including application to other assets further underline the effectiveness of the strategy. Finally, by empirically testing for second-order stochastic dominance, we find that risk averse investors would be willing to pay a positive premium to move from a static buy-and-hold investment in the DAX future to the tail-risk protection strategy.
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12.04.2017 • 19/2017
Joint Economic Forecast Spring 2017: Upturn in Germany strengthens in spite of global economic risks
The German economy is already in the fifth year of a moderate upturn. According to the Gemeinschaftsdiagnose (GD, joint economic forecast) that was prepared by Germany’s five leading economic research institutes on behalf of the Federal Government, capacity utilization is gradually increasing, and aggregate production capacities are now likely to have slightly exceeded their normal utilisation levels. However, cyclical dynamics remain low compared to earlier periods of recoveries, as consumption expenditures, which do not exhibit strong fluctuations, have been the main driving force so far. In addition, net migration increases potential output, counteracting a stronger capacity tightening. “Gross domestic product (GDP) is expected to expand by 1.5% (1.8% adjusted for calendar effects) and 1.8% in the next year. Unemployment is expected to fall to 6.1% in 2016, to 5.7% in 2017 and 5.4% in 2018”, says Oliver Holtemöller, Head of the Department Macroeconomics and vice president of the Halle Institute for Economic Research (IWH) – Member of the Leibniz Association. Inflation is expected to increase markedly over the forecast horizon. After an increase in consumer prices of only 0.5% in 2016, the inflation rate is expected to rise to 1.8% in 2017 and 1.7% in 2018. The public budget surplus will reduce only modestly. Public finances are slightly stimulating economic activity in the current year and are cyclically neutral in the year ahead.
Oliver Holtemöller
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Impulse Response Analysis in a Misspecified DSGE Model: A Comparison of Full and Limited Information Techniques
Sebastian Giesen, Rolf Scheufele
Applied Economics Letters,
No. 3,
2016
Abstract
In this article, we examine the effect of estimation biases – introduced by model misspecification – on the impulse responses analysis for dynamic stochastic general equilibrium (DSGE) models. Thereby, we use full and limited information estimators to estimate a misspecified DSGE model and calculate impulse response functions (IRFs) based on the estimated structural parameters. It turns out that IRFs based on full information techniques can be unreliable under misspecification.
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The Diablo 3 Economy: An Agent Based Approach
Makram El-Shagi, Gregor von Schweinitz
Computational Economics,
No. 2,
2016
Abstract
Designers of MMOs such as Diablo 3 face economic problems much like policy makers in the real world, e.g. inflation and distributional issues. Solving economic problems through regular updates (patches) became as important to those games as traditional gameplay issues. In this paper we provide an agent framework inspired by the economic features of Diablo 3 and analyze the effect of monetary policy in the game. Our model reproduces a number of features known from the Diablo 3 economy such as a heterogeneous price development, driven almost exclusively by goods of high quality, a highly unequal wealth distribution and strongly decreasing economic mobility. The basic framework presented in this paper is meant as a stepping stone to further research, where our evidence is used to deepen our understanding of the real-world counterparts of such problems. The advantage of our model is that it combines simplicity that is inherent to model economies with a similarly simple observable counterpart (namely the game environment where real agents interact). By matching the dynamics of the game economy we can thus easily verify that our behavioral assumptions are good approximations to reality.
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EFN Report Autumn 2015: Economic Outlook for the Euro Area in 2015 and 2016
European Forecasting Network Reports,
No. 4,
2015
Abstract
For the end of this year and for 2016, chances are good that production in advanced economies will continue to expand a bit faster than at trend rates, while growth dynamics in emerging markets economies will not strengthen or even continue to decrease.
Since autumn 2014, production in the euro area expands at an annualized rate of about 1.5%. The recovery appears to be broad based, with contributions from private consumption, exports, and investment into fixed capital, although it fell back in the second quarter after a strong increase at the beginning of the year. From a regional perspective, the recovery is as well quite broad based: production is expanding in almost every country, surprisingly and according to official data, including Greece.
Structural impediments still limit the ability of the euro area economy to grow strongly: firms and, in particular, private households are only slowly reducing their heavy debt burdens.
According to our forecasts, the euro area GDP will grow by 1.6% in 2015 and by 1.9% in 2016. The high increase in the number of refugees in 2015 will, in principle, positively affect private as well as public consumption, but the effect should be below 0.1 percentage points relative to GDP.
Our inflation forecast for 2015 is 0.1%. For 2016, we expect that inflation will increase to 1.3%, which is still below the ECB’s target of 2%.
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The Structure and Evolution of Inter-sectoral Technological Complementarity in R&D in Germany from 1990 to 2011
T. Broekel, Matthias Brachert
Journal of Evolutionary Economics,
No. 4,
2015
Abstract
Technological complementarity is argued to be a crucial element for effective R&D collaboration. The real structure is, however, still largely unknown. Based on the argument that organizations’ knowledge resources must fit for enabling collective learning and innovation, we use the co-occurrence of firms in collaborative R&D projects in Germany to assess inter-sectoral technological complementarity between 129 sectors. The results are mapped as complementarity space for the Germany economy. The space and its dynamics from 1990 to 2011 are analyzed by means of social network analysis. The results illustrate sectors being complements both from a dyadic and portfolio/network perspective. This latter is important, as complementarities may only become fully effective when integrated in a complete set of different knowledge resources from multiple sectors. The dynamic perspective moreover reveals the shifting demand for knowledge resources among sectors at different time periods.
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A Weighty Issue Revisited: The Dynamic Effect of Body Weight on Earnings and Satisfaction in Germany
Frieder Kropfhäußer, Marco Sunder
Applied Economics,
No. 41,
2015
Abstract
We estimate the relationship between changes in the body mass index (bmi) and wages or satisfaction, respectively, in a panel of German employees. In contrast to previous findings, our dynamic models indicate an inverse u-shaped association between bmi and wages. As the implied maximum occurs in the ‘overweight’ category, the positive trend in weight may not yet constitute a major limitation to productivity. Further investigation points out a stronger association among young workers and workers with jobs that are less protected. Work satisfaction of young workers is associated with bmi beyond the effect of earnings.
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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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