Monte Carlo simulation in risk assessment in mathematical generation of long data

Autor: Antonov Anton, Demirova Siyka
Jazyk: English<br />French
Rok vydání: 2023
Předmět:
Zdroj: MATEC Web of Conferences, Vol 387, p 06002 (2023)
Druh dokumentu: article
ISSN: 2261-236X
DOI: 10.1051/matecconf/202338706002
Popis: The report will address the main problem in risk measurement, namely the lack of a sufficiently long series of data for the various variables, so that the trend of their development can be formed with negligible error. A model will be made through a mathematical calculation in order to derive a long enough series with statistics reflecting the correlation between the individual variable indices and the standard deviation (volatility) to be able to obtain results with greater accuracy.
Databáze: Directory of Open Access Journals