Long and Short Memory in Economics: Fractional-Order Difference and Differentiation
arXiv:1612.07903 · doi:10.21013/jmss.v5.n2.p10
Abstract
Long and short memory in economic processes is usually described by the so-called discrete fractional differencing and fractional integration. We prove that the discrete fractional differencing and integration are the Grunwald-Letnikov fractional differences of non-integer order d. Equations of ARIMA(p,d,q) and ARFIMA(p,d,q) models are the fractional-order difference equations with the Grunwald-Letnikov differences of order d. We prove that the long and short memory with power law should be described by the exact fractional-order differences, for which the Fourier transform demonstrates the power law exactly. The fractional differencing and the Grunwald-Letnikov fractional differences cannot give exact results for the long and short memory with power law, since the Fourier transform of these discrete operators satisfy the power law in the neighborhood of zero only. We prove that the economic processes with the continuous time long and short memory, which is characterized by the power law, should be described by the fractional differential equations.
6 pages, PDF
References in corpus (1)
Cited by in corpus (9)
- Logistic map with memory from economic model
- Concept of dynamic memory in economics
- Stability of Fixed Points and Chaos in Fractional Systems
- Fractional Dynamics of Natural Growth and Memory Effect in Economics
- Economic Growth Model with Constant Pace and Dynamic Memory
- Asymptotic cycles in fractional maps of arbitrary positive orders
- Accelerators in macroeconomics: Comparison of discrete and continuous approaches
- Asymptotic cycles in fractional generalizations of multidimensional maps
- Dynamic Model for Network Selection in Next Generation HetNets with Memory-affecting Rational Users