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In several recent studies unit root methods have been used in detection of financial bubbles in asset prices. The basic idea is that fundamental changes in the autocorrelation structure of relevant time series imply the presence of a rational price bubble. We provide cross-country evidence for...
Persistent link: https://www.econbiz.de/10011976947
We study the relation between the credit cycle and macro-economic fundamentals in an intensity-based framework. Using … the credit cycle from the micro rating data. We relate this cycle to the business cycle, bank lending conditions, and … financial market variables. In line with earlier studies, these variables appear to explain part of the credit cycle. As our …
Persistent link: https://www.econbiz.de/10011348707
This paper aims to investigate the co-movement between the credit growth and gross domestic product (GDP) growth in … Turkey over the period January 2004–October 2019. By taking into account alternative credit decomposition and the variations … credit growth compared to other financial variables such as stock exchange, bonds, and exchange rate. ii) There is a high …
Persistent link: https://www.econbiz.de/10012311952
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This paper investigates whether output and inflation respond asymmetrically to credit shocks in the euro area. The … effects related to credit conditions in the economy. Consistent with this finding, the impulse responses show some signs of …
Persistent link: https://www.econbiz.de/10011604527
This paper investigates whether output and inflation respond asymmetrically to credit shocks in the euro area. The … effects related to credit conditions in the economy. Consistent with this finding, the impulse responses show some signs of …
Persistent link: https://www.econbiz.de/10013318588
aggregate US data, we find that credit losses become highly sensitive to adverse shocks when household or business sector …
Persistent link: https://www.econbiz.de/10013125686
In this study we combine clustering techniques with a moving window algorithm in order to filter financial market data outliers. We apply the algorithm to a set of financial market data which consists of 25 series selected from a larger dataset using a cluster analysis technique taking into...
Persistent link: https://www.econbiz.de/10003794031
The Hilbert-Huang transform (HHT) was developed late last century but has still to be introduced to the vast majority of economists. The HHT transform is a way of extracting the frequency mode features of cycles embedded in any time series using an adaptive data method that can be applied...
Persistent link: https://www.econbiz.de/10013153593