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      GARCH(1,1) model of the financial market with the Minkowski metric

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          Abstract

          We solved a stylized fact on a long memory process of volatility cluster phenomena by using Minkowski metric for GARCH(1,1) under assumption that price and time can not be separated. We provide a Yang-Mills equation in financial market and anomaly on superspace of time series data as a consequence of the proof from the general relativity theory. We used an original idea in Minkowski spacetime embedded in Kolmogorov space in time series data with behavior of traders.The result of this work is equivalent to the dark volatility or the hidden risk fear field induced by the interaction of the behavior of the trader in the financial market panic when the market crashed.

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          ARCH modeling in finance

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            A Stochastic Model for Order Book Dynamics

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              Index Cohesive Force Analysis Reveals That the US Market Became Prone to Systemic Collapses Since 2002

              Background The 2007–2009 financial crisis, and its fallout, has strongly emphasized the need to define new ways and measures to study and assess the stock market dynamics. Methodology/Principal Findings The S&P500 dynamics during 4/1999–4/2010 is investigated in terms of the index cohesive force (ICF - the balance between the stock correlations and the partial correlations after subtraction of the index contribution), and the Eigenvalue entropy of the stock correlation matrices. We found a rapid market transition at the end of 2001 from a flexible state of low ICF into a stiff (nonflexible) state of high ICF that is prone to market systemic collapses. The stiff state is also marked by strong effect of the market index on the stock-stock correlations as well as bursts of high stock correlations reminiscence of epileptic brain activity. Conclusions/Significance The market dynamical states, stability and transition between economic states was studies using new quantitative measures. Doing so shed new light on the origin and nature of the current crisis. The new approach is likely to be applicable to other classes of complex systems from gene networks to the human brain.
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                Author and article information

                Journal
                01 August 2018
                Article
                10.1515/zna-2018-0199
                1808.04231
                cbaa3a5e-70b1-4140-a635-c073c1a3075d

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

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                Zeitschrift f\"ur Naturforschung A 73 (2018) 669
                18 pages
                q-fin.ST

                Statistical finance
                Statistical finance

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