Eine Hochfrequenzanalyse zur Abgrenzung von überlagernden Effekten am Beispiel des Ausfallrisikos italienischer Staatsanleihen
Ruben Staffa
Wirtschaft im Wandel,
No. 2,
2023
Abstract
Die wirtschaftliche Aktivität und das Ausfallrisiko staatlicher Schulden beeinflussen sich gegenseitig. Sinkt die wirtschaftliche Aktivität einer Volkswirtschaft, steigt wegen fallender Steuereinnahmen das Risiko, dass der Staat Zinszahlungen und Tilgungen auf Staatsanleihen nicht zurückzahlen kann. Umgekehrt kann das staatliche Ausfallrisiko seinerseits die wirtschaftliche Aktivität beeinflussen. Steigt das Ausfallrisiko, geraten Banken unter Druck, die Staatsanleihen in ihren Bilanzen führen, und reduzieren die Kreditvergabe an Unternehmen. In der Konsequenz sinkt die wirtschaftliche Aktivität. Dieser Beitrag nutzt hochfrequente News-Ticker-Daten zur Ableitung politischer Ereignisse und davon ausgelöster Fluktuationen im Staatsschuldenrisiko. Diese allein politisch bedingten Fluktuationen ermöglichen es, den Effekt des Staatsschuldenrisikos auf die wirtschaftliche Aktivität zu messen, ohne dass die Schätzung von der gegenläufigen Beziehung der Variablen beeinträchtigt wird. Das Vorgehen wird am Beispiel Italiens erläutert.
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The Effects of Sovereign Risk: A High Frequency Identification Based on News Ticker Data
Ruben Staffa
IWH Discussion Papers,
No. 8,
2022
Abstract
This paper uses novel news ticker data to evaluate the effect of sovereign risk on economic and financial outcomes. The use of intraday news enables me to derive policy events and respective timestamps that potentially alter investors’ beliefs about a sovereign’s willingness to service its debt and thereby sovereign risk. Following the high frequency identification literature, in the tradition of Kuttner (2001) and Guerkaynak et al. (2005), associated variation in sovereign risk is then obtained by capturing bond price movements within narrowly defined time windows around the event time. I conduct the outlined identification for Italy since its large bond market and its frequent coverage in the news render it a suitable candidate country. Using the identified shocks in an instrumental variable local projection setting yields a strong instrument and robust results in line with theoretical predictions. I document a dampening effect of sovereign risk on output. Also, borrowing costs for the private sector increase and inflation rises in response to higher sovereign risk.
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Exchange Rates and the Information Channel of Monetary Policy
Oliver Holtemöller, Alexander Kriwoluzky, Boreum Kwak
IWH Discussion Papers,
No. 17,
2020
Abstract
We disentangle the effects of monetary policy announcements on real economic variables into an interest rate shock component and a central bank information shock component. We identify both components using changes in interest rate futures and in exchange rates around monetary policy announcements. While the volatility of interest rate surprises declines around the Great Recession, the volatility of exchange rate changes increases. Making use of this heteroskedasticity, we estimate that a contractionary interest rate shock appreciates the dollar, increases the excess bond premium, and leads to a decline in prices and output, while a positive information shock appreciates the dollar, decreases prices and the excess bond premium, and increases output.
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Effects of Incorrect Specification on the Finite Sample Properties of Full and Limited Information Estimators in DSGE Models
Sebastian Giesen, Rolf Scheufele
Journal of Macroeconomics,
June
2016
Abstract
In this paper we analyze the small sample properties of full information and limited information estimators in a potentially misspecified DSGE model. Therefore, we conduct a simulation study based on a standard New Keynesian model including price and wage rigidities. We then study the effects of omitted variable problems on the structural parameter estimates of the model. We find that FIML performs superior when the model is correctly specified. In cases where some of the model characteristics are omitted, the performance of FIML is highly unreliable, whereas GMM estimates remain approximately unbiased and significance tests are mostly reliable.
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The Social Capital Legacy of Communism-results from the Berlin Wall Experiment
Peter Bönisch, Lutz Schneider
European Journal of Political Economy,
No. 32,
2013
Abstract
In this paper we establish a direct link between the communist history, the resulting structure of social capital, and attitudes toward spatial mobility. We argue that the communist regime induced a specific social capital mix that discouraged geographic mobility even after its demise. Theoretically, we integrate two branches of the social capital literature into one more comprehensive framework distinguishing an open type and a closed type of social capital. Using the German Socio-Economic Panel (GSOEP) we take advantage of the natural experiment that separated Germany into two parts after the WWII to identify the causal effect of social capital on mobility. We estimate a three equation ordered probit model and provide strong empirical evidence for our theoretical propositions.
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Effects of Incorrect Specification on the Finite Sample Properties of Full and Limited Information Estimators in DSGE Models
Sebastian Giesen, Rolf Scheufele
Abstract
In this paper we analyze the small sample properties of full information and limited information estimators in a potentially misspecified DSGE model. Therefore, we conduct a simulation study based on a standard New Keynesian model including price and wage rigidities. We then study the effects of omitted variable problems on the structural parameters estimates of the model. We find that FIML performs superior when the model is correctly specified. In cases where some of the model characteristics are omitted, the performance of FIML is highly unreliable, whereas GMM estimates remain approximately unbiased and significance tests are mostly reliable.
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The integration of imperfect financial markets: Implications for business cycle volatility
Claudia M. Buch, C. Pierdzioch
Journal of Policy Modeling,
No. 7,
2005
Abstract
During the last two decades, the degree of openness of national financial systems has increased substantially. At the same time, asymmetries in information and other financial market frictions have remained prevalent. We study the implications of the opening up of national financial systems in the presence of financial market frictions for business cycle volatility. In our empirical analysis, we show that countries with more developed financial systems have lower business cycle volatility. Financial openness has no strong impact on business cycle volatility, in contrast. In our theoretical analysis, we study the implications of the opening up of national financial markets and of financial market frictions for business cycle volatility using a dynamic macroeconomic model of an open economy. We find that the implications of opening up national financial markets for business cycle volatility are largely unaffected by the presence of financial market frictions.
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