Coupled criticality analysis of inflation and unemployment
arXiv:2003.12655 · doi:10.3390/e23010042
Abstract
In this paper, we are interested to focus on the critical periods in the economy which are characterized by large fluctuations in macroeconomic indicators. To capture unusual and large fluctuations of inflation and unemployment, we concentrate on the non-Gaussianity of their distributions. To this aim, by using the coupled multifractal approach, we analyze US data for a period of 70 years from 1948 until 2018 and measure the non-Gausianity of the distributions. Then, we investigate how the non-Gaussianity of the variables affects the coupling structure of them. By applying the multifractal method, one can see that the non-Gaussianity depends on the scales. While the non-Gaussianity of unemployment is noticeable only for periods smaller than 1 year and for longer periods tends to Gaussian behavior, the non-Gaussianities of inflation persist for all time scales. Also, it is observed that the coupling structure of these variables tends to a Gaussian behavior after years.
arXiv comment13 pages, 3 figures
References in corpus (18)
- Multifractal detrended fluctuation analysis of nonstationary time series
- Statistical mechanics of money
- A multifractal random walk
- Modelling fluctuations of financial time series: from cascade process to stochastic volatility model
- Finite-size effect and the components of multifractality in financial volatility
- Bayesian Inference in Processing Experimental Data: Principles and Basic Applications
- Generalized Hurst exponent and multifractal function of original and translated texts mapped into frequency and length time series
- Understanding Fractal Dimension of Urban Form through Spatial Entropy
- Passive network evolution promotes group welfare in complex networks
- One model is not enough: heterogeneity in cryptocurrencies' multifractal profiles
- Optimization of the post-crisis recovery plans in scale-free networks
- Spatial Measures of Urban Systems: from Entropy to Fractal Dimension
- Metastable Features of Economic Networks and Responses to Exogenous Shocks
- A case study of stratus cloud base height multifractal fluctuations
- Hysteresis of economic networks in an XY model
- A geometrical imaging of the real gap between economies of China and the United States
- Role of Intensive and Extensive Variables in a Soup of Firms in Economy to Address Long Run Prices and Aggregate Data
- Competing contact processes in the Watts-Strogatz network