UDC 519.213: 5177
DOI: 10.36871/2618-9976.2022.01.002
Authors
Krivolapov S.Ya.
Candidate of Physicomathematical
Science, Assistant Professor Department of Mathematics, Financial
University under Government of Russian Federation, Moscow, Russia
Abstract
According to the results of fitting data on stock quotes of 216 Russian companies, nine distribution laws were identified, which in a certain sense "best" approximate the distribution law of logistic yield. As a general law of distribution of logistic returns, suitable for describing the data of an arbitrary company, the article proposes a mixture of nine identified distribution laws. The optimal choice of the coefficients of the mixture terms was carried out by solving the problem of finding a conditional extremum using the least squares method.
Keywords
Fitting distributions, Logarithmic returns, Conditional optimization