Dynamics of the Shapovalov mid-size firm model
Tatyana A. Alexeeva,
William Barnett,
Nikolay V. Kuznetsov and
Timur N. Mokaev
Chaos, Solitons & Fractals, 2020, vol. 140, issue C
Abstract:
Forecasting and analyses of the dynamics of financial and economic processes such as deviations of macroeconomic aggregates (GDP, unemployment, and inflation) from their long-term trends, asset markets volatility, etc., are challenging because of the complexity of these processes. Important related research questions include, first, how to determine the qualitative properties of the dynamics of these processes, namely, whether the process is stable, unstable, chaotic (deterministic), or stochastic; and second, how best to estimate its quantitative indicators including dimension, entropy, and correlation characteristics.
Keywords: Mid-size firm model; Forecasting; Global stability; Chaos; Absorbing set; Lyapunov exponents; Multistability (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077920306354
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Dynamics of the Shapovalov mid-size firm model (2020) 
Working Paper: Dynamics of the Shapovalov Mid-Size Firm Model (2020) 
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:eee:chsofr:v:140:y:2020:i:c:s0960077920306354
DOI: 10.1016/j.chaos.2020.110239
Access Statistics for this article
Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros
More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().