dc.description |
1. Mantegna R. N., Stanley H. E. An Introduction to Econophysics:
Correlations and Complexity in Finance. Cambridge Univ. Press,
Cambridge UK, 2000.
2. Maslov V.P. “Econophysics and quantum statistics”, Mathematical
Notes< Vol, 72, pp.811-818, 2002.
3. Hidalgo E.G. “Quantum Econophysics”, arXiv:physics/0609245v3,
2006.
4. Saptsin V., Soloviev V. “Relativistic quantum econophysics - new
paradigms in complex systems modelling”. arXiv:0907.1142v1
[physics.soc-ph], 2009.
5. Colangelo G., Clurana F.M., Blanchet L.C., Sewell R.J., Mitchell M.W.
“Simultaneous tracking of spin angle and amplitude beyond classical
limits”, Nature, Vol, 543, pp.525-528, 2017.
6. Rodriguez E.B., Aguilar L.M.A. “Disturbance-Disturbance uncertainty
relation: The statistical distinguishability of quantum states determines
disturbance”, Scientific Reports, Vol. 8, pp. 1-10, 2018.
7. Rozema L.A., Darabi A., Mahler D.H., Hayat A., Soudagar Y.,
Steinberg A.M. “Violation of Heisenberg’s Measurement-Disturbance
Relationship by Weak Measurements”, Phys. Rev. Lett., Vol. 109,
100404, 2012.
8. Prevedel R., Hamel D. R., Colbeck R., Fisher K., Resch K. J.
“Experimental investigation of the uncertainty principle in the presence
of quantum memory”, Nature Phys., Vol. 7, No. 29, pp. 757-761, 2011.
9. Berta M., Christandl M., Colbeck R., Renes J., Renner R. “The
Uncertainty Principle in the Presence of Quantum Memory”, Nature
Phys., Vol. 6, No. 9, pp. 659-662, 2010.
10.Landau L.D., Lifshitis E.M. The classical theory of fields. Course of
theoretical physics. Butterworth Heinemann, 1975.
11.Vladimirov Y. S. A relational theory of space-time interactions. Part 1,
MGU, Moscow, 1996. 12.Vladimirov Y. S. A relational theory of space-time interactions. Part 2,
MGU, Moscow, 1996.
13.Soloviev V., Saptsin V. “Heisenberg uncertainty principle and economic
analogues of basic physical quantities”, arXiv:1111.5289v1
[physics.gen-ph], 2011.
14.Soloviev V.N., Romanenko Y.V. “Economic analog of Heisenberg
uncertainly principle and financial crisis”, System analysis and
information technology: 20-th International conference SAIT 2018,
Kyiv, Ukraine, May 22 - 25, 2017. Proceedings. - ESC “IASA” NTUU
“Igor Sikorsky Kyiv Polytechnic Institute”, pp. 32-33, 2017.
15.Soloviev V.N., Romanenko Y.V. “Economic analog of Heisenberg
uncertainly principle and financial crisis”, System analysis and
information technology: 20-th International conference SAIT 2018,
Kyiv, Ukraine, May 21 - 24, 2018. Proceedings. - ESC “IASA” NTUU
“Igor Sikorsky Kyiv Polytechnic Institute”, pp. 33-34, 2018.
16.Roberts J.J. “5 Big Bitcoin Crashes: What We Learned”.
http://fortune.com/2017/09/18/bitcoin-crash-history/ ,2017. Accessed
18 Sept 2017
17.Wigner E.P. “On a class of analytic functions from the quantum THEORY
of collisions”, Ann. Math., Vol. 53, pp. 36-47, 1951.
18.Dyson F.J. “Statistical Theory of the Energy Levels of Complex
Systems. I”, Journal of Mathematical Physics, Vol. 3, pp. 140-156,
1962.
19.Mehta L.M., Random Matrices, Academic Press, San Diego, 1991.
20.Laloux L., Cizeau P., Bouchaud J.-P., Potters M. “Noise dressing of
financial correlation matrices”, Phys. Rev. Lett., Vol. 83, 83, pp. 1467–
1470, 1999.
21.Plerou V., Gopikrishnan P., Rosenow B., Amaral L. A. N., Guhr T.,
Stanley H. E. “Random matrix approach to cross correlations in
financial data”, Phys. Rev., Vol. E 65, 066126, 2002.
22.Shen, J., Zheng, B., 2009. “Cross-correlation in financial dynamics”,
EPL (Europhys. Lett.), Vol. 86, 48005.
23.Jiang S., Guo J., Yang C., Tian L., “Random Matrix Analysis of Crosscorrelation in Energy Market of Shanxi, China”, International Journal of
Nonlinear Science, Vol.23, No.2, pp. 96-101, 2017. 24.Urama T,C., Ezepue P.O., Nnanwa C.P., “Analysis of CrossCorrelations in Emerging Markets Using Random Matrix Theory”,
Journal of Mathematical Finance, Vol. 7, pp. 291-307, 2017. |
|