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This study draws attention to the proliferation of extreme risks in financial markets prior to and during the course of the recent global financial crisis. It examines the level of such "tail" risks in selected equity, interbank lending and foreign exchange markets in selected EU Member States in relation to the United States. The extent of tail risks is assessed by applying general error distribution (GED) parameterization in GARCH volatility tests of the examined variables. The empirical tests prove that extreme market risks were pronounced across all of the examined European financial markets throughout the crisis. They were also significant prior to the crisis outbreak. The analyzed interbank lending markets exhibited more extreme volatility outbursts than the equity and foreign exchange markets did.
Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte.
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Abstract:This study proposes the adoption of money growth rules as indicator variables of monetary policies by the countries converging to a common currency system, in particular, by the eurozone candidate countries. The analytical framework assumes an inflation target as the ultimate policy goal. The converging countries act in essence as "takers" of the inflation target, which, in this case, is the eurozone's inflation forecast. The study advances a forwardlooking money growth model that might be applied to aid monetary convergence to the eurozone. However, feasibility of adopting money growth rules depends on stable relationships between money and target variables, which are low inflation and stable exchange rate. Long-run interactions between these variables are examined for Poland, Hungary and the Czech Republic by employing a Johansen cointegration test, along with short-run effects assessed with a vector error correction procedure.
JEL classification: E42, E52, F36, P24
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