• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Asset Allocation Using Decomposition of Stock Price Dynamics

Student: Melnik Anton

Supervisor: Gleb Garashchuk

Faculty: Faculty of Economic Sciences

Educational Programme: Financial Markets and Financial Institutions (Master)

Year of Graduation: 2021

This paper is devoted to the application of the Singular Spectrum Analysis method, which is also commonly called the decomposition method. The dynamics of the shares prices traded on the stock exchange are time series in which we can distinguish the various components, the forecasting of which using the algorithm will allow to estimate future value, as well as to build a trading strategy. This algorithm was chosen due to relatively poor knowledge, as well as a few publications that would consider practical application on real data.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses