ECONOMIC AND MATHEMATICAL MODELING OF FINANCIAL BUBBLES IN FINANCIAL MARKETS

Abstract

This article explores the concept of a financial bubble, gives possible reasons for the abnormal growth in asset prices, and hence the formation of a financial bubble. The object of the study is pricing in the financial market. The subject of study is the economic and mathematical models for predicting financial bubbles in the financial market. The financial bubble is the conventional name of the phenomenon, in which in a certain market or in its segment the value of one or another asset significantly exceeds the fundamental value. Fundamental cost is an estimate of the income that the owner of the asset will receive in the future. The possible consequences of the destruction of the financial bubble are considered, and the names of the known bubbles are given, which have already collapsed. Forecasting the moment of collapse of a financial bubble is important. For investors who are not willing to take risks, the forecast will help to avoid significant potential losses, and if the investor is risk-taking, then waiting for the moment of collapse will help build an investment strategy that will bring maximum profit. Based on the analysis and empirical research, the author developed a model for the development of a financial bubble. The model’s performance is shown by the example of dotcom bubbles and in the price of Qualcomm Incorporated shares. The results of the author's model were compared with the results of the model with logoperiodic Sornnett oscillations for dotcom bubbles. According to the author's model, the moment of the crash was predicted 6 days earlier than the real one, and according to the weed model 12 days after.

Authors and Affiliations

Vasyl Makarus

Keywords

Related Articles

CONTOUR ANALYSIS-BASED ELEMENTARY AND PLAIN OBJECTS IN IMAGE PRECESSING MATHEMATHICAL MODELS

Image segmentation is central problem of image processing. This paper presents mathematical models using elementary and plain objects in image-based processing in contour analysis developed by the author. In the models,...

CURRENT CONDITIONS OF UKRAINIAN PUBLIC ADMINISTRATION SYSTEM: ADVANTAGES AND DISADVANTAGES

In the article current conditions of Ukrainian public administration system are analyzed. Its main advantages and disadvantages are defined and perspectives of further scientific research are outlined.

A PEDAGOGICAL COMPONENT OF PROFESSIONAL TRAINING OF FUTURE SPECIALISTS OF ENTERPRISES OF RESTAURANT INDUSTRY

The work identifies the role and importance of professionally oriented training of students of technological specialties. Some features of the formation of professional competence of future specialists of enterprises of...

DIAGNOSTICS OF LIQUIDITY AND PLACEMENT IN THE SYSTEM OF ANTI-CRISIS MANAGEMENT

In the article the methods of liquidity and solvency management in the system of crisis management are analyzed on the example of PEC «Motor Sich».

STUDY AND ANALYSIS DATA CLUSTERING ALGORITHM BY METHOD K-MEANS

The paper considers the study of a multidimensional statistical procedure for data collection that contains information on the selection of objects and then the ordering of objects into relatively homogeneous groups.

Download PDF file
  • EP ID EP616664
  • DOI -
  • Views 66
  • Downloads 0

How To Cite

Vasyl Makarus (2018). ECONOMIC AND MATHEMATICAL MODELING OF FINANCIAL BUBBLES IN FINANCIAL MARKETS. Международный научный журнал "Интернаука", 2(21), 53-57. https://europub.co.uk/articles/-A-616664