Ol'ga V. ZABOROVSKAYAState Institute of Economics, Finance, Law, and Technology (SIEFLT), Gatchina, Leningrad Oblast, Russian Federation ozabor@mail.ru ORCID id: not available
Subject. The article examines the influence of the tonality of news on the tire 3 stock quotes. Objectives. The purpose is to reflect the specifics of the influence of news sentiment on the prices of third-tier shares traded on the Moscow Exchange. Methods. We chose Telegram messenger as a source of news. Using the Python programming language, we wrote scripts. On their basis, we obtained stock quotes. Results. We used binarization of the difference in closing and opening prices. We also used tokenization to divide one text into separate words, lemmatization to bring a word into its initial form, taking into account contextual information, clustering of the result obtained, and selection of the most prominent topics. After that, we built classification models based on the methods of the naive Bayesian classifier, tree ensemble, and random forest techniques. Conclusions. We combined the above-mentioned models with the corresponding methods, and presented conclusions on the findings. The paper mentions the subsequent stages to study the impact of news on stock quotes.
Solodukhina A.V., Repin D.V. [How Corporate News Influence Company Stock Price]. Korporativnye finansy, 2009, vol. 3, no. 1, pp. 41–69. (In Russ.) URL: Link
Poddubnaya K.A. [The Impact of Corporate News on the Share Price of Oil Companies in Russia]. Skif. Voprosy Studencheskoi Nauki, 2017, no. 9, pp. 49–55. URL: Link (In Russ.)
Kazachenko I.S., Kukukina A.S. [How Information about Changes in the Composition of the Board of Directors Affects the Value of the Company’s Shares]. Skif. Voprosy Studencheskoi Nauki, 2023, no. 2, pp. 187–200. URL: Link (In Russ.)
Gerasimova N.V. [ESG in Russia: Corporate Strategies – Problems and Prospects]. Ekonomika i upravlenie innovatsiyami = Economics and Innovation Management, 2023, no. 2, pp. 62–75. (In Russ.) URL: Link
Rodionov D.G., Pashinina P.A., Konnikov E.A. [Model of the Impact of the Financial Market Information Environment on the Main Parameters of Financial Assets]. Ekonomicheskie nauki = Economic Sciences, 2022, no. 8, pp. 74–84. (In Russ.) URL: Link
Fedorova E.A., Pyl'tsin I.V., Koval'chuk Yu.A., Drogovoz P.A. [News and Social Networks of Russian Companies: Degree of Influence on the Securities Market]. Zhurnal Novoi ekonomicheskoi assotsiatsii = Journal of the New Economic Association, 2022, no. 1, pp. 32–52. (In Russ.) URL: Link
Rodionov D.G., Konnikov E.A., Shadrov K.S. [Tools for Analyzing the Impact of Emotional Coloring of News Background on Cryptocurrency Exchange Rates]. Ekonomicheskie nauki = Economic Sciences, 2022, no. 6, pp. 139–160. (In Russ.) URL: Link
Mugtasimov I.R., Narenchik A.A., Akhmadullina A.A. [Economic Crises in the Russian Federation and Their Impact on the Stock Market]. Industrial'naya ekonomika = Industrial Economics, 2022, vol. 7, no. 5, pp. 687–691. URL: Link (In Russ.)
Jabeen A., Yasir M., Ansari Y. et al. An Empirical Study of Macroeconomic Factors and Stock Returns in the Context of Economic Uncertainty News Sentiment Using Machine Learning. Complexity, 2022, vol. 2022. URL: Link
Duffee G.R. Macroeconomic News and Stock-Bond Comovement. Review of Finance, 2023, vol. 27, iss. 5, pp. 1859–1882. URL: Link
Rodionov D.G., Ananko E.A., Konnikov E.A., Kryzhko D.A. [The Specifics of the Study of the Environment for the Activities of Fast Food Companies]. Ekonomicheskie nauki = Economic Sciences, 2022, no. 3, pp. 171–176. (In Russ.) URL: Link
Visam A.S. [Stock Price Volatility on the Stock Exchange and Herd Behavior]. Innovatsii i investitsii = Innovation and Investment, 2023, no. 8, pp. 208–212. URL: Link (In Russ.)
Löffler G., Norden L., Rieber A. Negative news and the stock market impact of tone in rating reports. Journal of Banking & Finance, 2021, vol. 133, no. 106256. URL: Link
Bosman R., Kräussl R., Mirgorodskaya E. The "tone effect" of news on investor beliefs: An experimental approach. CFS Working Paper Series, 2015, no. 522. URL: Link
Huynh T.D., Smith D.R. Stock price reaction to news: The joint effect of tone and attention on momentum. Journal of Behavioral Finance, 2017, vol. 18, iss. 3, pp. 304–328. URL: Link
Mangee N. Stock returns and the tone of marketplace information: Does context matter? Journal of Behavioral Finance, 2018, vol. 19, iss. 4, pp. 396–406. URL: Link
Liu S., Han J. Media tone and expected stock returns. International Review of Financial Analysis, 2020, vol. 70, no. 101522. URL: Link
Chen C.Y.H., Fengler M.R., Härdle W.K., Liu Y. Media-expressed tone, option characteristics, and stock return predictability. Journal of Economic Dynamics and Control, 2022, vol. 134, 104290. URL: Link
Zuev S.A., Bruttan Yu.V. [Text Sentiment Analysis for Predicting Stock Prices on the Stock Market]. Vestnik Pskovskogo gosudarstvennogo universiteta. Seriya: Tekhnicheskie nauki = Bulletin of Pskov State University. Technical Sciences Series, 2021, no. 12, pp. 8–16. (In Russ.)
Rodionov D.G., Pashinina P.A., Konnikov E.A. [Econometric Analysis of Relationship between Stock Price Change of Media Companies and Objective External, Objective Internal Factors, and Sentiment and Content Components of Information Environment]. Konkurentosposobnost' v global'nom mire: ekonomika, nauka, tekhnologii = Competitiveness in a Global World: Economics, Science, Technology, 2022, no. 12, pp. 436–441. (In Russ.)