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Masked Instability: Within-Sector Financial Risk in the Presence of Wealth Inequality

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Department of Mathematical Sciences, Montclair State University, Montclair, NJ 07043, USA
Current address: 1 Normal Avenue, Montclair, NJ 07043, USA.
Risks 2018, 6(3), 65; https://doi.org/10.3390/risks6030065
Received: 4 May 2018 / Revised: 19 June 2018 / Accepted: 23 June 2018 / Published: 27 June 2018
We investigate masked financial instability caused by wealth inequality. When an economic sector is decomposed into two subsectors that possess a severe wealth inequality, the sector in entirety can look financially stable while the two subsectors possess extreme financially instabilities of opposite nature, one from excessive equity, the other from lack thereof. The unstable subsector can result in further financial distress and even trigger a financial crisis. The market instability indicator, an early warning system derived from dynamical systems applied to agent-based models, is used to analyze the subsectoral financial instabilities. Detailed mathematical analysis is provided to explain what financial instabilities can arise amid seemingly stable economy and positive market data. The theoretical conjecture is verified by historical macroeconomic time series of the United States households among whom a substantial wealth inequality has been officially confirmed. View Full-Text
Keywords: wealth inequality; financial stability; agent-based model; dynamical systems wealth inequality; financial stability; agent-based model; dynamical systems
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MDPI and ACS Style

Choi, Y. Masked Instability: Within-Sector Financial Risk in the Presence of Wealth Inequality. Risks 2018, 6, 65. https://doi.org/10.3390/risks6030065

AMA Style

Choi Y. Masked Instability: Within-Sector Financial Risk in the Presence of Wealth Inequality. Risks. 2018; 6(3):65. https://doi.org/10.3390/risks6030065

Chicago/Turabian Style

Choi, Youngna. 2018. "Masked Instability: Within-Sector Financial Risk in the Presence of Wealth Inequality" Risks 6, no. 3: 65. https://doi.org/10.3390/risks6030065

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