Forced Displacement, Exposure to Conflict and Long-run Education and Income Inequality: Evidence from Croatia and Bosnia and Herzegovina
Adnan Efendic, Dejan Kovač, Jacob N. Shapiro
Abstract
This paper investigates the long-term relationship between conflict-related migration and individual socioeconomic inequality. Looking at the post-conflict environments of Bosnia and Herzegovina (BiH) and Croatia, the two former Yugoslav states most heavily impacted by the conflicts of the early 1990s, the paper focuses on differences in educational performance and income between four groups: migrants, internally displaced persons, refugees, and those who did not move two decades after the conflicts. For BiH, the analysis leverages a municipality-representative survey (n = 6, 021) that captured self-reported education and income outcomes as well as migration histories. For Croatia, outcomes are measured using an anonymized education registry that captured outcomes for over half a million individuals over time. This allows an assessment of convergence between different categories of migrants. In both countries, individuals with greater exposure to conflict had systematically worse educational performance. External migrants now living in BiH have better educational and economic outcomes than those who did not migrate, but these advantages are smaller for individuals who were forced to move. In Croatia, those who moved during the conflict have worse educational outcomes, but there is a steady convergence between refugees and non-migrants. This research suggests that policies intended to address migration-related discrepancies should be targeted on the basis of individual and family experiences caused by conflict.
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Tail-risk Protection Trading Strategies
Natalie Packham, Jochen Papenbrock, Peter Schwendner, Fabian Wöbbeking
Quantitative Finance,
Nr. 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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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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Debatte um Intel-Ansiedlung: IWH veröffentlicht umstrittene Zitate im Volltext
Oliver Holtemöller
Einzelveröffentlichungen,
2023
Abstract
In einer öffentlichen Kontroverse über die Ansiedelung einer Chipfabrik in Magdeburg wurden Einschätzungen des Leibniz-Instituts für Wirtschaftsforschung Halle (IWH) teils stark kritisiert. Die Kritik bezieht sich auf einzelne Zitate aus einem Medienbericht. Nach Ansicht des IWH ergeben die Aussagen in ihrem ursprünglichen Zusammenhang ein anderes Bild, weshalb sie hier vollständig wiedergegeben werden.
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A Factor-model Approach for Correlation Scenarios and Correlation Stress Testing
Natalie Packham, Fabian Wöbbeking
Journal of Banking and Finance,
April
2019
Abstract
In 2012, JPMorgan accumulated a USD 6.2 billion loss on a credit derivatives portfolio, the so-called “London Whale”, partly as a consequence of de-correlations of non-perfectly correlated positions that were supposed to hedge each other. Motivated by this case, we devise a factor model for correlations that allows for scenario-based stress testing of correlations. We derive a number of analytical results related to a portfolio of homogeneous assets. Using the concept of Mahalanobis distance, we show how to identify adverse scenarios of correlation risk. In addition, we demonstrate how correlation and volatility stress tests can be combined. As an example, we apply the factor-model approach to the “London Whale” portfolio and determine the value-at-risk impact from correlation changes. Since our findings are particularly relevant for large portfolios, where even small correlation changes can have a large impact, a further application would be to stress test portfolios of central counterparties, which are of systemically relevant size.
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Innovation Cooperation in East and West Germany: A Study on the Regional and Technological Impact
Uwe Cantner, Alexander Giebler, Jutta Günther, Maria Kristalova, Andreas Meder
International Journal of Computational Economics and Econometrics,
3/4
2018
Abstract
In this paper, we investigate the impact of regional and technological innovation systems on innovation cooperation. We develop an indicator applicable to regions, which demonstrates the relative regional impact on innovation cooperation. Applying this method to German patent data, we find that regional differences in the degree of innovation cooperation do not only depend on the technology structure of a region but also on specific regional effects. High-tech oriented regions, whether east or west, are not automatically highly cooperative regions. East German regions have experienced a dynamic development of innovation cooperation since re-unification in 1990. Their cooperation intensity remains higher than in West German regions.
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Subventionswettbewerb: Subventionen für Halbleiter?
Reint E. Gropp
Wirtschaftsdienst,
Nr. 3,
2023
Abstract
Hochtechnologien gelten als die Branchen der Zukunft. Europa will hier nicht den Anschluss verlieren. Auch gegen Lieferengpässe und Produktionsengpässe durch gestörte Lieferketten will sich Europa besser wappnen. Mit dem „European Chips Act“ will die Europäische Kommission gemeinsam mit den Mitgliedstaaten mehr als 40 Mrd. Euro ausgeben, um die europäische Halbleiter-Produktion von gegenwärtig 10 % auf dann 20 % der globalen Produktion zu steigern. Halbleiter sind nicht nur in Gebrauchsgegenständen wie Handys, Laptops und Autos, sie sind auch unverzichtbar, wenn die grüne und digitale Wende gelingen soll. Photovoltaikanlagen, nachhaltige Produktion und E-Mobilität – all das braucht Computerchips. Der „European Chips Act“ ist daher die Antwort der EU auf den „Chips-Act“ der USA, der mehr als 50 Mrd. US-$ für Halbleiter vorsieht, um die Produktion zu sichern, zu modernisieren und auszubauen.
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IWH-Präsident: Silicon Valley Bank in Deutschland?
Reint E. Gropp
Einzelveröffentlichungen,
2023
Abstract
Nach dem Zusammenbruch der zahlungsunfähigen US-amerikanischen Silicon Valley Bank zieht Reint Gropp, Präsident des Leibniz-Instituts für Wirtschaftsforschung Halle (IWH), drei Lehren für die europäische Bankenaufsicht.
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The Impact of Government Procurement Composition on Private R&D Activities
Viktor Slavtchev, Simon Wiederhold
Abstract
This paper addresses the question of whether government procurement can work as a de facto innovation policy tool. We develop an endogenous growth model with quality-improving in-novation that incorporates industries with heterogeneous innovation sizes. Government demand in high-tech industries increases the market size in these industries and, with it, the incentives for private firms to invest in R&D. At the economy-wide level, the additional R&D induced in high-tech industries outweighs the R&D foregone in all remaining industries. The implications of the model are empirically tested using a unique data set that includes federal procurement in U.S. states. We find evidence that a shift in the composition of government purchases toward high-tech industries indeed stimulates privately funded company R&D.
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Wirtschaftliche Folgen des Gaspreisanstiegs für die deutsche Industrie
Steffen Müller
Wirtschaft im Wandel,
Nr. 1,
2023
Abstract
Die Gaspreise haben sich in Deutschland infolge des Lieferstopps russischen Erdgases deutlich erhöht, mit möglichen Folgen für die Wettbewerbsfähigkeit der deutschen Industrie. Wir berechnen den Gasverbrauch auf Produktebene für die Zeit vor der Energiekrise mit Hilfe der Mikrodaten der amtlichen Statistik, um zielgenau abschätzen zu können, bei welchen Produkten eine Drosselung der Produktion zur maximalen Gaseinsparung bei minimalen wirtschaftlichen Verlusten führen würde. Die Verwendung von Mikrodaten zeigt, dass die Folgen für Umsatz und Wertschöpfung in der Industrie bei Weitem nicht so negativ ausfallen werden wie von vielen befürchtet.
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