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This paper introduces a new empirical strategy for the characterization of business cycles. It combines non-parametric decoding methods that classify a series into expansions and recessions but does not require specification of the underlying stochastic process generating the data. It then uses...
Persistent link: https://www.econbiz.de/10009542511
Persistent link: https://www.econbiz.de/10009412983
This paper introduces a new empirical strategy for the characterization of business cycles. It combines non-parametric decoding methods that classify a series into expansions and recessions but does not require specification of the underlying stochastic process generating the data. It then uses...
Persistent link: https://www.econbiz.de/10014189291
This paper introduces a new empirical strategy for the characterization of business cycles. It combines non-parametric decoding methods that classify a series into expansions and recessions but does not require specification of the underlying stochastic process generating the data. It then uses...
Persistent link: https://www.econbiz.de/10009421371
This paper introduces a new empirical strategy for the characterization of business cycles. It combines non-parametric decoding methods that classify a series into expansions and recessions but does not require specification of the underlying stochastic process generating the data. It then uses...
Persistent link: https://www.econbiz.de/10008691733
Persistent link: https://www.econbiz.de/10005029235
The characteristic aspects of dynamic distortions on a lengthy time series of i.i.d. pure noise when embedded with slightly-aggregating sparse signals are summarized into a significantly shorter recurrence time process of a chosen extreme event. We first employ the Kolmogorov–Smirnov statistic...
Persistent link: https://www.econbiz.de/10010698282
To investigate stock dynamics, we consider volatility as a temporal aggregation of semi-extreme events defined on three dimensions: return, volume and trading number. Onset and offset phases of volatility are computed by means of the hierarchical factor segmentation (HFS) algorithm based on...
Persistent link: https://www.econbiz.de/10010606818
Persistent link: https://www.econbiz.de/10010516050
What do the behavior of monkeys in captivity and the financial system have in common? The nodes in such social systems relate to each other through multiple and keystone networks, not just one network. Each network in the system has its own topology, and the interactions among the system’s...
Persistent link: https://www.econbiz.de/10011051434