CONDUCT RESEARCH STOCK MARKET BASED ON MODELS OF ARCH
DOI:
https://doi.org/10.15330/apred.2.12.17-26Keywords:
Autoregression models, econometric models, stock market, financial instruments, the PFTS index, volatility, time seriesAbstract
The purpose of this article is to study the dynamics of the volatility of some indicators of financial market of Ukraine using the methods ARCH modeling. As indicators of the financial market we take the most aggregated variables describing profitability or market price of the portfolio, but not individual assets constituting the portfolio. An indicator of the stock market index stands First Stock Trading System (PFTS). The conditional variance of financial indicators reflecting the level of systemic risk, measures the uncertainty associated with forecasting market dynamics.
JEL: C 50
References
1. Anderson, T. W. Introduction to Multivariate Statistical Analysis. New York, 1968. Print.
2. Granger, C. W. J., and M. Hatanaka. Spectral Analysis of Economic Time Series, Princeton, N. J.: Princeton Univ. Press, 1964. Print.
3. Blahun, I.S., and I.V. Burtnyak. Modeling of development of the stock market: Monograph. Ivano-Frankivsk: Publisher Victor Dyakiv, 2011. Print.
4. Blahun, I.S., and I.V. Burtnyak. “Evaluation and forecasting the dynamics of the stock market.” Modern problems of socio-ekonomycheskyh modeling systems: Monohrafyya. Kharkiv: "INZHEK", 2009. 135-50. Print.
5. Burtnyak, I.V. “Modeling dynamics of development of the stock market with models pomoshchju ARCH.” Business Inf. 12(2009): 131-35. Print.
6. Burtnyak, I.V., and G.P. Malitska. “Interaction between stock indexes based models ARCH.” Journal of East nat. univ. named after V. Dalya 12(2009): 102-10. Print.
7. Burtnyak, I.V., and G.P. Malytska. “Modeling dynamics PFTS index.” Business Inf. 1(2010): 60-65. Print.
8. Burtnyak, I.V., and G.P. Malytska. “Model dependent way volatility for the index PFTS.” Business Inf. 3(2012): 48-50. Print.
2. Granger, C. W. J., and M. Hatanaka. Spectral Analysis of Economic Time Series, Princeton, N. J.: Princeton Univ. Press, 1964. Print.
3. Blahun, I.S., and I.V. Burtnyak. Modeling of development of the stock market: Monograph. Ivano-Frankivsk: Publisher Victor Dyakiv, 2011. Print.
4. Blahun, I.S., and I.V. Burtnyak. “Evaluation and forecasting the dynamics of the stock market.” Modern problems of socio-ekonomycheskyh modeling systems: Monohrafyya. Kharkiv: "INZHEK", 2009. 135-50. Print.
5. Burtnyak, I.V. “Modeling dynamics of development of the stock market with models pomoshchju ARCH.” Business Inf. 12(2009): 131-35. Print.
6. Burtnyak, I.V., and G.P. Malitska. “Interaction between stock indexes based models ARCH.” Journal of East nat. univ. named after V. Dalya 12(2009): 102-10. Print.
7. Burtnyak, I.V., and G.P. Malytska. “Modeling dynamics PFTS index.” Business Inf. 1(2010): 60-65. Print.
8. Burtnyak, I.V., and G.P. Malytska. “Model dependent way volatility for the index PFTS.” Business Inf. 3(2012): 48-50. Print.
Downloads
Published
2016-04-26
How to Cite
Burtnyak, . I., & Malitska , G. P. (2016). CONDUCT RESEARCH STOCK MARKET BASED ON MODELS OF ARCH. The Actual Problems of Regional Economy Development, 2(12), 17–26. https://doi.org/10.15330/apred.2.12.17-26
Issue
Section
Financial market
License
Authors who publish with this journal agree to the following terms:
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution NonCommercial NoDerivs 4.0 Unported License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access)