ArticleOpen Access http://dx.doi.org/10.26855/jamc.2022.06.011
Automated System for Monitoring the State of the Financial Market
M. E. Alaei
PhD Student of Probability Theory and Mathematical Statistics, Yerevan State University, Yerevan, Armenia.
*Corresponding author: M. E. Alaei
Published: July 6,2022
Abstract
New statistical functions have been proposed that allow using known data on the past behavior of prices of any commodity to determine the state of the financial market. These new statistics are more general than the volatility and contain an estimate of volatility within them. These new statistical functions depend on the valuations of the European options and the Asian options, as well as the difference between these valuations and the sample realization. Black-Scholes formulas were used for statistical estimation. In this paper, we also used some propositions obtained by the author in previous works. An automated system has been built that monitors the state of the market and warns situations when the behavior of the commodity price function is critical. The system was tested on the example of oil price behavior at the period of time from December 1, 2006 to February 28, 2009 and gave good results, clearly recording the 2008 crisis.
Keywords
Automated system for monitoring, Black-Scholes formula, volatility, statistical sample
References
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How to cite this paper
Automated System for Monitoring the State of the Financial Market
How to cite this paper: M. E. Alaei. (2022) Automated System for Monitoring the State of the Financial Market. Journal of Applied Mathematics and Computation, 6(2), 263-266.
DOI: http://dx.doi.org/10.26855/jamc.2022.06.011