Forecasting the Dynamic of Economic Indices: Discrete Stochastic Models and Autoregressive-moving Аverage Models

Authors

  • Анна Леонидовна Тубина St. Petersburg State University, 7–9, Universitetskaya nab., St. Petersburg, 199034, Russian Federation

Abstract

The article is devoted to the problem of financial assets and economic indices forecasting. The main objects of investigation are discrete stochastic models and autoregressive - moving average models. These two methods both give the opportunity to analyze given time series separately; they also can be used for investigation of different time series (bankrolls, financial resources, price series, and quotations). Approaches to comparison of the forecasting procedures presented in the paper allows to discover their specific features and possible ways of implementation. It can be inferred that investigated methods can be effectively applied for the purpose of a short-term forecasting.

Keywords:

financial assets, objects of investigation

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References

Литература на русском языке

Вентцель Е. С. Теория вероятностей. М., 1999. С. 151-155.

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Конюховский П. В. Моделирование стохастической динамики финансовых ресурсов. СПб., 2002. С.118-119.

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Магнус Я. Р., Катышев П. К., Пересецкий А. А. Эконометрика: Начальный курс: Учебник. 5-е изд., испр. М., 2001. С. 262-274.


References in Latin Alphabet

Verbeek М. A guide to modern econometrics. 2000.


Translation of references in Russian into English

Published

2019-01-03

How to Cite

Тубина, А. Л. (2019). Forecasting the Dynamic of Economic Indices: Discrete Stochastic Models and Autoregressive-moving Аverage Models. St Petersburg University Journal of Economic Studies, (1), 145–150. Retrieved from https://economicsjournal.spbu.ru/article/view/3576

Issue

Section

Short Scientific Reports

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