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Financial Stability

Financial Systems: The Anatomy of the Market Economy How the financial system is constructed, how it works, how to keep it fit and what good a bit of chocolate can do. Dossier In…

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EFN Report Winter 2018/19: Economic Outlook for the Euro Area in 2019 and 2020

EFN Reports, No. 1, 2019
Abstract
• The cyclical upswing of the world economy comes to an end, since expansionary policies in the US are expected to peter out in 2019, and the protectionist course of the US government clouds the perspectives for world trade. • However, if a major trade conflict can be avoided, chances are good that world production growth will be close to the long-run average of a bit more than 3%, with trade expanding at a similar pace. • Slowing exports, in particular to China, can partly explain the setback, while domestic conditions still appear favourable: firms continued hiring, albeit by less than before, tight labour markets in many member countries have caused wages to rise more quickly, and house prices continue to increase markedly. • Since a trend to higher inflationary dynamics is still not detectable, the ECB is likely to either keep key interest rates unchanged in 2019 or raise them very carefully at the end of the year. • All in all, we expect the euro area growth rate to come down from 1.9% in 2018 to 1.5% in 2019 and 1.8% in 2020, and inflation to slightly slow down from 1.8% in 2018 to 1.6% in 2019 and 1.5% in 2020.
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EFN Report Summer 2018: Economic Outlook for the Euro Area in 2018 and 2019

EFN Reports, No. 3, 2018
Abstract
• In summer 2018 the cyclical upswing of the world economy is not over, but it appears to be fragmenting. While economic activity in the European Union has lost steam, the upswing in the US has gained pace, and growth in China appears to be robust. • Markets for commodities as well as for capital are at present strongly affected by political movements: oil prices are more than 50% higher than one year ago, as the US exit from the Iran nuclear deal puts the long run oil supply from Iran at risk, and the strongly expansionary US tax reform explains the rise in US long run interest rates. . • Uncertainties about the future international trade system cause firms to slow down or even reverse the globalization of value chains. As an early consequence, world trade in the second half of 2018 and in 2019 will expand at much slower rates than during 2017. • In the euro area growth slowed in the first quarter 2018, due to weaker investment activity in France and Italy and, more importantly, a fall in exports in all larger euro area economies except Spain. However, the drivers of the upswing such as low interest rates for credit and expanding real incomes will still be supportive in the near future, and fiscal policies will be slighly more expansionary. But a slowdown in world trade will dent export growth as well as corporate profits. All in all, we expect GDP growth in the euro area to go down from 2.4% in 2017 to 2.1% in 2018 and to 1.7% in 2019 – a forecast that will only be realized if damages to the international trade system are limited and if the European sovereign debt crisis does not come back. • While wage inflation has been slowly increasing during the past quarters to about 2%, a clear upwards trend of core consumer price inflation is still not detectable. The recent jump of the headline rate to 1.9% is due to higher oil prices. Our forecasts for 2018 and 2019 are close, although still below, 2%.
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Criminal Network Formation and Optimal Detection Policy: The Role of Cascade of Detection

Liuchun Deng, Yufeng Sun
Journal of Economic Behavior and Organization, September 2017
Abstract
This paper investigates the effect of cascade of detection, how detection of a criminal triggers detection of his network neighbors, on criminal network formation. We develop a model in which criminals choose both links and actions. We show that the degree of cascade of detection plays an important role in shaping equilibrium criminal networks. Surprisingly, greater cascade of detection could reduce ex ante social welfare. In particular, we prove that full cascade of detection yields a weakly denser criminal network than that under partial cascade of detection. We further characterize the optimal allocation of the detection resource and demonstrate that it should be highly asymmetric among ex ante identical agents.
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Career Experience, Political Effects, and Voting Behavior in the Riksbank’s Monetary Policy Committee

Stefan Eichler, Tom Lähner
Economics Letters, June 2017
Abstract
We find that career experience shapes the voting behavior of the Riksbank’s Monetary Policy Committee (MPC) members. Members with a career in the Riksbank and the government prefer higher rates. During a legislation with a center-right (center-left) party administration, MPC members with a career background in the government favor higher (lower) interest rates. Highlights: • The determinants of voting behavior in the Swedish Riksbank are considered. • Voting is analyzed with random effects ordered logit models for 1999–2013. • Interplay of career experience and political factors shapes voting behavior. • Government or Riksbank background leads to higher interest rate votes. • Partisan voting behavior is detected for members with government background.
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Same, but Different: Testing Monetary Policy Shock Measures

Alexander Kriwoluzky, Stephanie Ettmeier
IWH Discussion Papers, No. 9, 2017
Abstract
In this study, we test whether three popular measures for monetary policy, that is, Romer and Romer (2004), Barakchian and Crowe (2013), and Gertler and Karadi (2015), constitute suitable proxy variables for monetary policy shocks. To this end, we employ different test statistics used in the literature to detect weak proxy variables. We find that the measure derived by Gertler and Karadi (2015) is the most suitable in this regard.
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Financial Constraints on Growth: Comparing the Balkans to Other Transition Economies

Hubert Gabrisch
Eastern European Economics, No. 4, 2015
Abstract
This article applies an adjusted growth diagnostic approach to identify the currently most binding constraint on financing growth in the West Balkan countries. Since this group of economies faces both structural and systemic transformation problems, the original supply-side approach might not be sufficient to detect the most binding constraint. The results of the analysis indicate that the binding constraint on credit and investment growth in the region is the high and increasing share of nonperforming loans, primarily in the household sector, due to policy failures. This article compares the Balkan countries to a group of advanced transition economies. Single-country and panel regressions indicate that demand-side factors do not play a constraining role on growth in the West Balkan countries, but they do in the advanced transition economies.
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The Political Determinants of Sovereign Bond Yield Spreads

Stefan Eichler
Journal of International Money and Finance, No. 46, 2014
Abstract
This paper analyzes the political determinants of sovereign bond yield spreads using data for 27 emerging markets in the period 1996 to 2009. I find strong evidence that countries with parliamentary systems (as opposed to presidential regimes) and a low quality of governance face higher sovereign yield spreads, while the degree of democracy and elections play no significant role. A higher degree of political stability and the power to implement austerity measures significantly reduce sovereign yield spreads particularly in autocratic regimes, while no significant effect is detected for democratic countries. Overall, political determinants have a more pronounced impact on sovereign bond yield spreads in autocratic and closed regimes than in democratic and open countries.
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Predicting Financial Crises: The (Statistical) Significance of the Signals Approach

Makram El-Shagi, Tobias Knedlik, Gregor von Schweinitz
Journal of International Money and Finance, No. 35, 2013
Abstract
The signals approach as an early-warning system has been fairly successful in detecting crises, but it has so far failed to gain popularity in the scientific community because it cannot distinguish between randomly achieved in-sample fit and true predictive power. To overcome this obstacle, we test the null hypothesis of no correlation between indicators and crisis probability in three applications of the signals approach to different crisis types. To that end, we propose bootstraps specifically tailored to the characteristics of the respective datasets. We find (1) that previous applications of the signals approach yield economically meaningful results; (2) that composite indicators aggregating information contained in individual indicators add value to the signals approach; and (3) that indicators which are found to be significant in-sample usually perform similarly well out-of-sample.
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