The researchers attempt to give a glimpse to the future proposing the analysis of trajectories in correlation matrix space directly or in terms of symbolic dynamics as well as attempts to analyze the clusters that make up the states in a random matrix context.
Authors
Hirdesh K. Pharasi, School of Engineering and Technology, BML Munjal University, Gurugram, 122413, Haryana, India.
Suchetana Sadhukhan, School of Advanced Sciences and Languages, VIT Bhopal University, Kothrikalan, Sehore 466114, Madhya Pradesh, India,
Parisa Majari, Instituto de Ciencias Físicas, Universidad Nacional Autónoma de México, Cuernavaca, 62210, Mexico.
Anirban Chakraborti, School of Engineering and Technology, BML Munjal University, Gurugram, 122413, Haryana, India; School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi, 110067, India; Centre for Complexity Economics, Applied Spirituality and Public Policy, Jindal School of Government and Public Policy, O.P. Jindal Global University, Sonipat, Haryana, India; Centro Internacional de Ciencias, Cuernavaca, 62210, Mexico
Thomas H. Seligman, Instituto de Ciencias Físicas, Universidad Nacional Autónoma de México, Cuernavaca, 62210, Mexico; Centro Internacional de Ciencias, Cuernavaca, 62210, Mexico.
Summary
The concept of states of financial markets based on correlations has gained increasing attention during the last 10 years. We propose to retrace some important steps up to 2018, and then give a more detailed view of recent developments that attempt to make the use of this more practical. Finally, we try to give a glimpse to the future proposing the analysis of trajectories in correlation matrix space directly or in terms of symbolic dynamics as well as attempts to analyze the clusters that make up the states in a random matrix context.
Published in: Chakraborti, A., Haven, E., Patra, S., Singh, N. (eds) Quantum Decision Theory and Complexity Modelling in Economics and Public Policy. New Economic Windows. Springer, Cham.
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