Coherence in the coupled oscillators for the case of financial time series

dc.contributor.advisorЩестюк, Наталія
dc.contributor.authorМарченко, Анастасія
dc.date.accessioned2020-12-06T18:49:53Z
dc.date.available2020-12-06T18:49:53Z
dc.date.issued2020
dc.description.abstractThe analysis in natural science leads to spreading the ideas of chaos theory and non- linear dynamics to nancial mathematics and creating the new researches to consider similar models and procedures for nancial time series. Also, the irregular uctuations in these series are sometimes considered as an outcome from chaotic systems.[1] This can be used, for example, to forecast the value of an investment portfolio, which is the combination of di erent nancial assets, for example, stocks, bonds, cash. One of the ways to think about a successful portfolio is when the chosen equities have the high expected returns and synchronized in time for bottom moments.[2] Then the dynamics of these nancial assets can be described as oscillators connected in the network.uk_UA
dc.identifier.urihttps://ekmair.ukma.edu.ua/handle/123456789/19024
dc.language.isoenuk_UA
dc.statusfirst publisheduk_UA
dc.subjectcoherenceuk_UA
dc.subjectthe coupled oscillatorsuk_UA
dc.subjectfinancial time seriesuk_UA
dc.subjectбакалаврська роботаuk_UA
dc.titleCoherence in the coupled oscillators for the case of financial time seriesuk_UA
dc.typeOtheruk_UA
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