Digital waves in economics

Dimitri Ledenyov and Viktor Ledenyov

MPRA Paper from University Library of Munich, Germany

Abstract: The recent discovery of the Ledenyov digital waves in the economies of scale and scope led to an origination of considerable scientific interest in the modeling of new types of the discrete-time digital signals generators for the business cycles generation in the macroeconomics. Article aims: 1) to model the discrete-time digital signals generators for the business cycles generation in the macroeconomics, 2) to demonstrate the technical differences between the new model of the discrete-time digital signals generator and the existing models of the continuous-time (continuous wave) signals generators in the macroeconomics; 3) to accurately analyze the spectrum of discrete-time digital signals in the economies of scale and scope, 4) to improve the Ledenyov discrete time digital signals theory to precisely characterize the discrete time digital signals in the macroeconomics, 5) to better develop the complex software program to forecast the business cycles, going from the spectral analysis of the discrete time digital signals and the continuous time signals in the nonlinear dynamic economic system over the selected time period. The developed MicroSA software program intends: 1) to perform the spectrum analysis of the discrete-time digital signals and the continuous-time signals in the macroeconomics; 2) to make the computer modeling and to forecast the business cycles, going from the spectral analysis of the discrete time signals and the continuous time signals in the macroeconomics. The MicroSA can be used by a) the central banks with the purpose to make the strategic decisions on the monetary policies, financial stability policies, and b) the commercial/investment banks with the aim to make the business decisions on the minimum capital allocation, countercyclical capital buffer creation, and capital investments.

Keywords: discrete-time digital waves; discrete-time digital signals generators; spectrum analysis of discrete-time digital signals; amplitude of discrete-time digital signal; frequency of discrete-time digital signal; wavelength of discrete-time digital signal; period of discrete-time digital signal; phase of discrete-time digital signal; mixing of discrete-time digital signals; harmonics of discrete-time digital signal; nonlinearities of discrete-time digital signal; Juglar fixed investment cycle; Kitchin inventory cycle; Kondratieff long wave cycle; Kuznets infrastructural investment cycle; econophysics; econometrics; nonlinear dynamic economic system; economy of scale and scope; macroeconomics. (search for similar items in EconPapers)
JEL-codes: E0 E00 E10 E17 E20 E22 E27 E30 E32 E37 E40 E44 E47 E50 E58 F0 F40 F41 F44 F47 O31 O33 O35 (search for similar items in EconPapers)
Date: 2015-06-02
New Economics Papers: this item is included in nep-ict and nep-mac
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/64755/1/MPRA_paper_64755.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/64990/8/MPRA_paper_64990.pdf revised version (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:64755

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().