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Stock market volatility clusters in time, appears fractionally integrated, carries a risk premium, and exhibits asymmetric leverage effects relative to returns. At the same time, the volatility risk premium, defined by the difference between the risk-neutral and objective expectations of the...
Persistent link: https://www.econbiz.de/10014190565
The objective of this work is to propose a new methodology to detect the imminence of abrupt changes in the stock market by combining a numerical indicator based on the wavelet decomposition technique with a measure of the interdependency of the markets using graph theory. While the indicator...
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core to German labor market dynamics. Chaos does not occur.  …Summary Evidence on the role of chaotic and nonlinear dynamics on labor markets is mixed. It is unclear whether … to the residuals of the filtered time series to test for chaotic dynamics. There seems to be a nonlinear deterministic …
Persistent link: https://www.econbiz.de/10014608718
analyzed, each focussing on modeling financial markets as a nonlinear dynamic system by introducing the formation of … driven by the market over time. The resulting dynamics of asset price and agents’ wealth is analyzed within a chartist … financial markets and lead to the emergence of complicated dynamics of growing asset price paths. …
Persistent link: https://www.econbiz.de/10009428980
The author argues that it is microeconomics that needs foundations, not macroeconomics. Preferences need to be built on biology, and, in particular, on neuroscience. In contrast, macroeconomics could benefit from rationalizations of aggregate economic phenomena by non-equilibrium statistical...
Persistent link: https://www.econbiz.de/10010298584
I argue that it is microeconomics that needs foundations, not macroeconomics. Preferences need to be built on biology, and, in particular, on neuroscience. In contrast, macroeconomics could benefit from rationalizations of aggregate economic phenomena by non-equilibrium statistical physics.
Persistent link: https://www.econbiz.de/10010298641
The authors propose a new method for estimating the power-law exponents of firm size variables. Their focus is on how to empirically identify a range in which a firm size variable follows a power-law distribution. On the one hand, as is well known a firm size variable follows a power-law...
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