In the new economy, some tech companies have rapidly built market power and modernization led to the unpredictable bank-to-client relationship. Moreover, financial markets are confronted with big data and as a result, digitization and further introduction of mathematical techniques and new models were brought into the financial industry. Uncertainty has increased markedly in the macroeconomic risk, payment systems, capital accumulation and investment. But so far, timid attempts are made to elucidate the possibilities of the chaos theory application in finance. To verify a theoretical model whether or not is an accurate representation of an empirically observed phenomenon is one of the most challenging investigations in the scientific field. The following study explores the problem related to incomplete randomized financial analysis. The behavior of financial market relates to the circumstances that are both internal and external. Chaos mathematics is an acute methodology to be applied in the analysis of the randomness in financial markets instead of completely randomized design. The completely randomized design places the emphasis on which the factor effects are constant and assumes the observation from experiments to be statistically independent. However, this hypothesis is often not realistic and practical. The correlated impact should not be ignored. This article attempts to clarify some points related to the possibility of using chaos theory in finance.
| Published in | International Journal of Economics, Finance and Management Sciences (Volume 6, Issue 6) |
| DOI | 10.11648/j.ijefm.20180606.19 |
| Page(s) | 306-310 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2019. Published by Science Publishing Group |
Incompletely Random, Chaos Theory, Human Social Activities, Modeling of Random Variables
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APA Style
Xuelin Xian, Jiande Liu. (2019). Application of Chaos Theory in Incomplete Randomized Financial Analysis. International Journal of Economics, Finance and Management Sciences, 6(6), 306-310. https://doi.org/10.11648/j.ijefm.20180606.19
ACS Style
Xuelin Xian; Jiande Liu. Application of Chaos Theory in Incomplete Randomized Financial Analysis. Int. J. Econ. Finance Manag. Sci. 2019, 6(6), 306-310. doi: 10.11648/j.ijefm.20180606.19
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Download@article{10.11648/j.ijefm.20180606.19,
author = {Xuelin Xian and Jiande Liu},
title = {Application of Chaos Theory in Incomplete Randomized Financial Analysis},
journal = {International Journal of Economics, Finance and Management Sciences},
volume = {6},
number = {6},
pages = {306-310},
doi = {10.11648/j.ijefm.20180606.19},
url = {https://doi.org/10.11648/j.ijefm.20180606.19},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijefm.20180606.19},
abstract = {In the new economy, some tech companies have rapidly built market power and modernization led to the unpredictable bank-to-client relationship. Moreover, financial markets are confronted with big data and as a result, digitization and further introduction of mathematical techniques and new models were brought into the financial industry. Uncertainty has increased markedly in the macroeconomic risk, payment systems, capital accumulation and investment. But so far, timid attempts are made to elucidate the possibilities of the chaos theory application in finance. To verify a theoretical model whether or not is an accurate representation of an empirically observed phenomenon is one of the most challenging investigations in the scientific field. The following study explores the problem related to incomplete randomized financial analysis. The behavior of financial market relates to the circumstances that are both internal and external. Chaos mathematics is an acute methodology to be applied in the analysis of the randomness in financial markets instead of completely randomized design. The completely randomized design places the emphasis on which the factor effects are constant and assumes the observation from experiments to be statistically independent. However, this hypothesis is often not realistic and practical. The correlated impact should not be ignored. This article attempts to clarify some points related to the possibility of using chaos theory in finance.},
year = {2019}
}
TY - JOUR T1 - Application of Chaos Theory in Incomplete Randomized Financial Analysis AU - Xuelin Xian AU - Jiande Liu Y1 - 2019/01/05 PY - 2019 N1 - https://doi.org/10.11648/j.ijefm.20180606.19 DO - 10.11648/j.ijefm.20180606.19 T2 - International Journal of Economics, Finance and Management Sciences JF - International Journal of Economics, Finance and Management Sciences JO - International Journal of Economics, Finance and Management Sciences SP - 306 EP - 310 PB - Science Publishing Group SN - 2326-9561 UR - https://doi.org/10.11648/j.ijefm.20180606.19 AB - In the new economy, some tech companies have rapidly built market power and modernization led to the unpredictable bank-to-client relationship. Moreover, financial markets are confronted with big data and as a result, digitization and further introduction of mathematical techniques and new models were brought into the financial industry. Uncertainty has increased markedly in the macroeconomic risk, payment systems, capital accumulation and investment. But so far, timid attempts are made to elucidate the possibilities of the chaos theory application in finance. To verify a theoretical model whether or not is an accurate representation of an empirically observed phenomenon is one of the most challenging investigations in the scientific field. The following study explores the problem related to incomplete randomized financial analysis. The behavior of financial market relates to the circumstances that are both internal and external. Chaos mathematics is an acute methodology to be applied in the analysis of the randomness in financial markets instead of completely randomized design. The completely randomized design places the emphasis on which the factor effects are constant and assumes the observation from experiments to be statistically independent. However, this hypothesis is often not realistic and practical. The correlated impact should not be ignored. This article attempts to clarify some points related to the possibility of using chaos theory in finance. VL - 6 IS - 6 ER -
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