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This paper examines the comovement of the stock market and of real activity in Germany before World War I under the efficient market hypothesis. We employ multivariate spectral analysis to compare rivaling national product estimates to stock market behavior in the frequency domain. Close...
Persistent link: https://www.econbiz.de/10010263613
We use a Bayesian dynamic factor model to measure Germany's pre World War I economic activity. The procedure makes better use of existing time series data than historical national accounting. To investigate industrialization we propose to look at comovement between sectors. We find that...
Persistent link: https://www.econbiz.de/10010263692
Diese Dissertation befasst sich mit europäischer und US-amerikanischer Konjunkturgeschichte und Marktintegration im 19. und 20. Jahrhundert. Zur Analyse von konjunkturellen Schwankungen stellt sie der weitverbreiteten Historischen Volkswirtschaftlichen Gesamtrechnung (VGR) die Methode...
Persistent link: https://www.econbiz.de/10009467153
We use a Bayesian dynamic factor model to measure Germany’s pre World War I economic activity. The procedure makes better use of existing time series data than historical national accounting. To investigate industrialization we propose to look at comovement between sectors. We find that...
Persistent link: https://www.econbiz.de/10005677899
This paper examines the comovement of the stock market and of real activity in Germany before World War I under the effcient market hypothesis. We employ multivariate spectral analysis to compare rivaling national product estimates to stock market behavior in the frequency domain. Close...
Persistent link: https://www.econbiz.de/10005677984
This paper examines the comovement of the stock market and of real activity in Germany before World War I under the efficient market hypothesis. We employ multivariate spectral analysis to compare rivaling national product estimates to stock market behaviour in the frequency domain. Close...
Persistent link: https://www.econbiz.de/10005666693