Sentyment informacji niefinansowych jako czynnik objaśniający reakcję rynku kapitałowego

Ewelina Niedzielska

doi:10.18778/8331-900-1

Keywords: capital market, stock exchange, text analysis, textual sentiment, financial journalism

Published: 21 November 2025

Categories: Economics and management, Open Access

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The monograph is devoted to analyzing the role of non-financial information in shaping the reactions of the capital market. The discussion is framed within two competing theoretical approaches. The first is the efficient market hypothesis, which assumes that incoming data are fully and immediately reflected in the prices of financial instruments. The second approach is represented by behavioral finance, which emphasizes the importance of cognitive heuristics and asymmetries in information processing. At the same time, journalists and online media are gaining increasing significance, becoming an important source of economic knowledge. Moreover, the dynamic growth of global data resources, particularly textual data, has made sentiment analysis an essential tool for identifying factors influencing investors’ decisions. The monograph combines theoretical and empirical objectives. On the cognitive level, it focuses on identifying and characterizing the key paradigms and concepts that explain the mechanisms of information generation, transmission, and reception in the capital market. On the empirical level, it addresses the assessment of how investors discount information, with particular attention to the sentiment of press articles concerning companies listed on the Warsaw Stock Exchange. The analysis covered more than 56,000 English-language press publications from 2013 to 2022, applying a dictionary-based approach and the event study method to evaluate market reactions. The findings confirm the existence of asymmetry in investors’ responses to positive and negative news, demonstrating that press sentiment is a significant factor in explaining market behavior, while also contributing to the debate on the interaction between neoclassical and behavioral perspectives in finance.

Agrawal A., Jaffe J. F., Mandelker G. N., The Post-Merger Performance of Acquiring Firms: A Re-Examination of an Anomaly, „The Journal of Finance” 1992, nr XLVII/4, s. 1605–1621.

Ahern K. R., Sosyura D., Rumor Has It: Sensationalism in Financial Media, „The Review of Financial Studies” 2015, nr 28/7.

Aite Group, Big Data in Capital Markets: At the Start of the Journey, 2014.

Akerlof G. A., The Market for „Lemons”: Quality Uncertainty and the Market Mechanism, [w:] G. A. Akerlof (red.), An Economic Theorist’s Book of Tales, Cambridge University Press, Cambridge 1984.

Allen D. E., McAleer M., Singh A. K., Daily Market News Sentiment and Stock Prices, „Applied Economics” 2019, nr 51/30, s. 3212–3235.

Alomari M., Al Rababa’a A. R., El-Nader G., Alkhataybeh A., Rehman U. M., Examining the Effects of News and Media Sentiments on Volatility and Correlation: Evidence from the UK, „The Quarterly Review of Economics and Finance” 2021, nr 82, s. 280–297.

American Association for Public Opinion Research, AAPOR Report on Big Data, AAPOR Big Data Task Force, 2015.

Araújo T., Eleutério S., Louçã F., Do sentiments Influence Market Dynamics? A Reconstruction of the Brazilian Stock Market and Its Mood, „Physica A.” 2018, nr 505, s. 1139–1149.

Atkins A., Niranjan M., Gerding E., Financial News Predicts Stock Market Volatility Better than Close Price, „The Journal of Finance and Data Science” 2018, nr 4, s. 120–137.

Audrino F., Sigrist F., Ballinari D., The Impact of Sentiment and Attention Measures on Stock Market Volatility, „International Journal of Forecasting” 2020, nr 36/2, s. 334–357.

Bageho W., The Only Game in Town, „Financial Analysts Journal” 1971, s. 12–22.

Baker H. K., Nofsinger J. R., Behavioral Finance: Investors, Corporations, and Markets, John Wiley & Sons, New Jersey 2010.

Bank Światowy, World Development Indicators, https://databank.worldbank.org/reports.aspx?source=2&series=IT.NET.USER.ZS&country=# (dostęp: 1.04.2023).

Bankier, https://www.bankier.pl/ (dostęp: 10.01.2024).

Bask M., Forsberg L., Östling A., Media Sentiment and Stock Returns, „The Quarterly Review of Economics and Finance” 2024, nr 94, s. 303–311.

BBC News, City Slickers Guilty of Tip Scam, http://news.bbc.co.uk/2/hi/uk_news/4507448.stm (dostęp: 20.07.2022).

Bednarek M., Caple H., The Discourse of News Values. How News Organizations Create Newsworthiness, Oxford University Press, New York 2017.

Będowska-Sójka B., Wpływ informacji na ceny instrumentów finansowych. Analiza danych śróddziennych, Wydawnictwo Uniwersytetu Ekonomicznego w Poznaniu, Poznań 2014.

Biblioteka Uniwersytetu Warszawskiego, Bazy online, https://www.buw.uw.edu.pl/zasoby-online/bazy-online/ (dostęp: 10.01.2024).

Biddle G., Hilary G., Verdi R. S., How Does Financial Reporting Quality Relate to Investment Efficiency?, „Journal of Accounting and Economics” 2009, nr 48/2–3, s. 112–131.

Biktimirov E. N., Sokolyk T., Ayanso A., Sentiment and Hype of Business Media Topics and Stock Market Returns during the COVID-19 Pandemic, „Journal of Behavioral and Experimental Finance” 2021, nr 31, s. 1–6.

Bird S., Klein E., Loper E., Natural Language Processing with Python, O’Reilly Media, Sebastopol 2009.

Black F., Noise, „Journal of Finance” 1986, nr 41/3, s. 529–543.

Blazquez D., Domenech J., Big Data Sources and Methods for Social and Economic Analyses, „Technological Forecasting & Social Change” 2017, nr 130, s. 99–113.

Bloomfield R. J., The „Incomplete Revelation Hypothesis” and Financial Reporting, „Accounting Horizons” 2002, nr 16/3, s. 233–243.

Boisot M. H., Knowledge Assets: Securing Competitive Advantage in the Information Economy, Oxford University Press, Oxford 1998.

Borden M. J., The Role of Financial Reporting in Corporate Governance, „Fordham Journal of Corporate & Financial Law” 2007, nr XII, s. 311–369.

Borovkova S., Lammiman A., The Impact of News Sentiment on Energy Futures Returns, „Working Paper” 2023.

Borowski K., Finanse behawioralne. Modele, Wydawnictwo Difin, Warszawa 2014.

Boukes M., Vliegenthart R., A General Pattern in the Construction of Economic Newsworthiness? Analyzing News Factors in Popular, Quality, Regional, and Financial Newspapers, „Journalism” 2020, nr 21/2.

Boukes M., Jones N. P., Vliegenthart R., Newsworthiness and Story Prominence: How the Presence of News Factors Relates to Upfront Position and Length of News Stories, „Journalism” 2022, nr 23/1, s. 98–116.

Bouteska A., The Effect of Investor Sentiment on Market Reactions to Financial Earnings Restatements: Lessons from the United States, „Journal of Behavioral and Experimental Finance” 2019, nr 24, s. 1–11.

Bouteska A., Mefteh-Wali A., Dang T., Predictive Power of Investor Sentiment for Bitcoin Returns: Evidence from COVID-19 Pandemic, „Technological Forecasting and Social Change” 2022, nr 184, s. 1–13.

Bowers S., Three Face Jail over Mirror Share Fraud, https://www.theguardian.com/media/2005/dec/08/pressandpublishing.mirror1 (dostęp: 20.07.2022).

Brigham E. F., Gapenski L. C., Zarządzanie finansami, Polskie Wydawnictwo Ekonomiczne, Warszawa 2000.

Bukovina J., Social Media Big Data and Capital Markets – An Overview, „Journal of Behavioral and Experimental Finance” 2016, nr 11.

Bulski D., Górski M., Wyniki testów hipotezy półsilnej efektywności informacyjnej Giełdy Papierów Wartościowych w Warszawie w latach 2005–2011, „Problemy Zarządzania” 2012, nr 10/4 (39), s. 141–168.

Burgin M., Theory of Information: Fundamentality, Diversity And Unification, World Scientific, Los Angeles 2009.

Butterick K. J., A Churnalism, Complacency and Collusion: A Critical Introduction to Business and Financial Journalism, Pluto Press, London 2015.

Buzała P., Reakcja inwestorów na rekomendacje giełdowe. Implikacje dla efektywności rynku akcji, „Zeszyty Naukowe Uniwersytetu Szczecińskiego. Finanse, Rynki Finansowe, Ubezpieczenia” 2012, nr 689/50, s. 11–20.

Buzała P., Silna a półsilna forma efektywności informacyjnej rynku kapitałowego – doświadczenia z GPW w Warszawie na podstawie zaleceń analityków, „Zeszyty Naukowe Uniwersytetu Szczecińskiego. Finanse, Rynki Finansowe, Ubezpieczenia” 2015, nr 862/75, s. 97–109.

Cabena P., Hadjinian P., Stadler R., Verhees J., Zanasi A., Discovering Data Mining: From Concept to Implementation, Prentice Hall, New Jersey 1998.

Caiffa M., Farina V., Fattobene L., CEO Duality: Newspapers and Stock Market Reactions, „Journal of Risk and Financial Management” 2021, nr 14/35, s. 1–18.

Calomiris Ch. W., Mamaysky H., How News and Its Context Drive Risk and Returns around the World, „Journal of Financial Economics” 2019, nr 133, s. 299–336.

Cameron A., Palan R., The Imagined Economies of Globalization, SAGE Publications, London 2004.

Camiciottoli B. C., Using English as a Lingua Franca to Engage with Investors: An Analysis of Italian and Japanese Companies’ Investor Relations Communication Policies, „English for Specific Purposes” 2020, nr 58, s. 90–101.

Carmona J., Delcoure N., Fernandez F. H., Social Media Sentiment, Tariffs, and International Equity Pricing, „International Journal of Electronic Finance” 2020, nr 10/1–2, s. 93–115.

Cecchini M., Aytug H., Koehler G. J., Pathak P., Making Words Work: Using Financial Text as a Predictor of Financial Events, „Decision Support Systems” 2010, nr 50, s. 164–175.

Cernat M., The Ethics of Financial Journalism. A Critical Perspective, „Cogito – Multidisciplinary Research Journal” 2014, nr VI/3.

Chari S., Desai P. H., Borde N., George B., Aggregate News Sentiment and Stock Market Returns in India, „Journal of Risk and Financial Management” 2023, nr 16 (8), 376.

Cheikh E., Cullot N., Nicolle Ch., Understandable Big Data: A Survey, „Computer Science Review” 2015, nr 17, s. 70–81.

Chen G., Kim K. A., Nofsinger J. R., Rui O. M., Trading Performance, Disposition Effect, Overconfidence, Representativeness Bias, and Experience of Emerging Market Investors, „Journal of Behavioral Decision Making” 2007, nr 20, s. 425–451.

Chen H., Zimbra D., AI and Opinion Mining, „IEEE Intelligent Systems” 2010, nr 25/3, s. 74–80.

Chen H., Chiang R., Storey V., Business Intelligence and Analytics: From Big Data to Big Impact, „MIS Quarterly” 2012, nr 36/4, s. 1165–1188.

Chen J., Information Theory and Market Behavior, „CFAI Journal of Behavioral Finance” 2005, nr 2/4, s. 25–45.

Chen K., Luo P., Liu L., Zhang W., News, Search and Stock Co-Movement: Investigating Information Diffusion in the Financial Market, „Electronic Commerce Research and Applications” 2018, nr 28, s. 159–171.

Chen P., Zhang Ch.-Y., Data-Intensive Applications, Challenges, Techniques and Technologies: A Survey on Big Data, „Information Sciences” 2014, nr 275, s. 314–347.

Chen W., Lai K. K., Cai Y., Exploring Public Mood toward Commodity Markets: A Comparative Study of User Behavior on Sina Weibo and Twitter, „Internet Research” 2020, nr 31/3, s. 1102–1119.

Choi S., Measuring Economic Diplomacy Using Event Study Method: The Case of EU-China Summit Talks and Airbus Stock Price Changes, „Asia Europe Journal” 2023, nr 21, s. 155–171.

Chopra A., Prashar A., Sain Ch., Natural Language Processing, „International Journal of Technology Enhancements and Emerging Engineering Research” 2013, nr 1/4, s. 131–134.

Chowdhury G. G., Natural Language Processing, „Annual Review of Information Science and Technology” 2003, nr 37/1, s. 51–89.

Chun S. H., Kim S. H., Data Mining for Financial Prediction and Trading: Application to Single and Multiple Markets, „Expert Systems with Applications” 2004, nr 26/2, s. 131–139.

Ciołek M., Efektywność informacyjna polskiego rynku akcji, CeDeWu, Warszawa 2015.

Cohen R., Gompers P., Vuolteenaho T., Who Underreact to Cash-Flow News? Evidence from Trading between Individuals and Institutions, „Journal of Financial Economics” 2002, nr 66, s. 409–462.

Colasanto F., Grilli L., Santoro D., Villani G., AlBERTino for Stock Price Prediction: A Gibbs Sampling Approach, „Information Sciences” 2022, nr 597, s. 341–357.

Columbia University Libraries, Research Guides. A–Z Databases, https://guides.library.columbia.edu/az.php?a=all (dostęp: 10.01.2024).

Cristescu M. P., Mara D. A., Nerișanu R. A., Culda L. C., Maniu I., Analyzing the Impact of Financial News Sentiments on Stock Prices – A Wavelet Correlation, „Mathematics” 2023, nr 11 (23), 4830.

Czekaj J., Efektywność giełdowego rynku akcji w Polsce. Z perspektywy dwudziestolecia, Polskie Wydawnictwo Ekonomiczne, Warszawa 2014.

Czekaj J., Woś M., Żarnowski J., Efektywność giełdowego rynku akcji w Polsce. Z perspektywy dziesięciolecia, Polskie Wydawnictwo Ekonomiczne, Warszawa 2001.

Czerwonka M., Gorlewski B., Finanse behawioralne. Zachowania inwestorów i rynku, Oficyna Wydawnicza Szkoły Głównej Handlowej, Warszawa 2012.

Czupryna M., Żarnowski J., Efektywność półsilna, [w:] J. Czekaj (red.), Efektywność giełdowego rynku akcji w Polsce z perspektywy dwudziestolecia, Polskie Wydawnictwo Ekonomiczne, Warszawa 2014.

Da Z., Engelberg J., Gao P., The Sum of all FEARS: Investor Sentiment and Asset Prices, „SSRN Electronic Journal” 2013, s. 1–42.

Damodaran, A., Finanse korporacyjne. Teoria i praktyka, Wydawnictwo Helion, Gliwice 2017.

Damstra A., De Swert K., The Making of Economic News: Dutch Economic Journalists Contextualizing Their Work, „Journalism” 2020, nr 22/12, s. 3083–3100.

Das S. R., Text and Context: Language Analytics in Finance. Foundations and Trends in Finance, Now Publishers, Hanover 2014.

Das S. R., Chen M. Y., Yahoo! for Amazon: Sentiment Extraction from Small Talk on the Web, „Management Science” 2007, nr 53/9, s. 1375–1388.

Davis A., Public Relations, Business News and the Reproduction of Corporate Elite Power, „Journalism” 2000, nr 1/3, s. 282–304.

De Bondt W. F. M., Thaler R., Does the Stock Market Overreact?, „The Journal of Finance” 1985, nr 40/3, s. 793–805.

De Long J. B., Shleifer A., Summers L. H., Waldmann R. J., Noise Trader Risk in Financial Markets, „Journal of Political Economy” 1990, nr 98/4, s. 703–738.

De Long J. B., Shleifer A., Summers L. H., Waldmann R. J., Positive Feedback Investment Strategies and Destabilizing Rational Speculation, „Journal of Finance” 1990, nr 45/2, s. 379–395.

de Saussure F., Kurs językoznawstwa ogólnego, Państwowe Wydawnictwo Naukowe, Warszawa 1961.

de Vreese C. H., News Framing, Theory and Typology, „Information Design Journal” 2005, nr 13/1, s. 51–62.

deHaaff M., Sentiment Analysis, Hard But Worth It!, https://customerthink.com/sentiment_analysis_hard_but_worth_it (dostęp: 20.07.2022).

Delcey T., Samuelson vs Fama on the Efficient Market Hypothesis: The Point of View of Expertise, „Œconomia – History / Methodology / Philosophy” 2019, nr 9/1, s. 37–57.

Deng S., Huang Z. J., Sinha A. P., Zhao H., The Interaction between Microblog Sentiment and Stock Returns: An Empirical Examination, „MIS Quarterly: Management Information Systems” 2018, nr 42/3, s. 895–918.

Deutsche Bank, Big Data: How It Can Become a Differentiator, 2014.

Dębski W., Rynek finansowy i jego mechanizmy. Podstawy teorii i praktyki, Wydawnictwo Naukowe PWN, Warszawa 2014.

Digital Marketing Community, How People Use Their Devices: What Marketers Need to Know, 2016 | Think With Google, https://www.digitalmarketingcommunity.com/researches/how-people-use-their-devices-what-marketers-need-to-know-sep-2016-think-with-google/ (dostęp: 1.04.2023).

Dobrowolski K., Teoria rynków efektywnych i model racjonalnego inwestora – od warunków ryzyka do warunków konfliktu, „Współczesna Gospodarka” 2015, nr 6/2, s. 11–19.

Doman M., Mikrostruktura Giełd Papierów Wartościowych, Wydawnictwo Uniwersytetu w Poznaniu, Poznań 2011.

Dong W., Liao S., Liang L., Financial Statement Fraud Detection using Text Mining: a systemic functional linguistics theory perspective, PACIS 2016, Proceedings 2016, Chiayi, Taiwan.

Doyle G., Financial News Journalism. A Post-Enron Analysis of Approaches towards Economic and Financial News Production in the UK, „Journalism” 2006, nr 7/4, s. 433–452.

Dretske F., Knowledge and the Flow of Information, MIT Press, Cambridge 1981.

Duarte F., Amount of Data Created Daily (2023), https://explodingtopics.com/blog/data-generated-per-day#how-much (dostęp: 1.04.2023).

Eilders Ch., News Factors and News Decisions. Theoretical and Methodological Advances in Germany, „Communications” 2006, nr 31 (1), s. 5–24.

El-Haj M., Rayson P., Walker M., Young S., Simaki V., In Search of Meaning: Lessons, Resources and Next Steps for Computational Analysis of Financial Discourse, „Journal of Business Finance and Accounting” 2019, nr 46, s. 265–306.

Emerging Markets Information Service, https://www.emis.com/pl (dostęp: 10.01.2024).

Entman R. M., Framing: Toward Clarification of a Fractured Paradigm, „Journal of Communication” 1993, nr 43/1, s. 51–58.

Erdas M. L., Validity of Weak-Form Market Efficiency in Central and Eastern European Countries (CEECs): Evidence from Linear and Nonlinear Unit Root Tests, „Review of Economic Perspectives” 2019, nr 19/4, s. 399–428.

Fama E. F., Efficient Capital Markets: A Review of Theory and Empirical Work, „The Journal of Finance” 1970, nr 25/2, s. 383–417.

Fama E. F., Market Efficiency, Long-Term Returns, and Behavioral Finance, „Journal of Financial Economics” 1998, nr 49, s. 283–306.

Fama E. F., Random Walks in Stock Market Prices, „Financial Analysts Journal” 1965, nr 21/5, s. 55–59.

Fama E. F., Risk, Return and Equilibrium: Some Clarifying Comments, „The Journal of Finance” 1968, nr 23/1, s. 29–40.

Fama E. F., The Behavior of Stock-Market Prices, „The Journal of Business” 1965, nr 38/1, s. 34–105.

Fama E. F., French K. R., A Five-Factor Asset Pricing Model, „Journal of Financial Economics” 2015, nr 116, s. 1–22.

Fama E. F., French K. R., Common Risk Factors in the Returns on Stocks and Bonds, „Journal of Financial Economics” 1993, nr 33/1, s. 3–56.

Fedorova E., Druchok S., Drogovoz P., Impact of News Sentiment and Topics on IPO Underpricing: US Evidence, „International Journal of Accounting and Information Management” 2022, nr 30/1, s. 73–94.

Feuerriegel S., Gordon J., Long-Term Stock Index Forecasting Based on Text Mining of Regulatory Disclosures, „Decision Support Systems” 2018, nr 112, s. 88–97.

Fishman M. J., Hagerty K. M., Insider Trading and the Efficiency of Stock Prices, „The RAND Journal of Economics Journal of Economics” 1992, nr 23/1, s. 106–122.

Fleischer M., Zarys ogólnej teorii komunikacji, [w:] M. Graszewicz, J. Jastrzębski (red.), Teorie komunikacji i mediów, Oficyna Wydawnicza ATUT, Wrocław 2009.

Flynn J., How Many People Use The Internet? [2023]: 35 Facts about Internet Usage in America and the World, https://www.zippia.com/advice/how-many-people-use-the-internet/ (dostęp: 1.04.2023).

Fowler R., Language in the News: Discourse and Ideology in the Press, Routledge, New York 1991.

Francis J. C., Inwestycje. Analiza i zarządzanie, WIG-Press, Warszawa 2000.

Fung G. P. Ch., Yu J. X., Lam W., Stock Prediction: Integrating Text Mining Approach Using Real-Time News, IEEE International Conference on Computational Intelligence for Financial Engineering, Hong Kong, China 2003.

Gaikwad S. V., Chaugule A., Patil P., Text Mining Methods and Techniques, „International Journal of Computer Applications” 2014, nr 85/17, s. 42–45.

Gajdka J., Behawioralne finanse przedsiębiorstw. Podstawowe podejścia i koncepcje, Wydawnictwo Uniwersytetu Łódzkiego, Łódź 2013.

Galtung J., Ruge M. H., The Structure of Foreign News, „Journal of Peace Research” 1965, nr 2/1, s. 64–69.

Gantz J., Reinsel D., IDC Iview. Extracting Value from Chaos, 2011.

Garcia D., Sentiment during Recessions, „The Journal of Finance” 2013, nr 68/3, s. 1267–1300.

Garcia-Lopez F. J., Batyrshin I., Gelbukh A., Analysis of Relationships between Tweets and Stock Market Trends, „Journal of Intelligent & Fuzzy Systems” 2018, nr 34, s. 3337–3347.

Gartner Inc., Data Mining, http://www.gartner.com/it-glossary/data-mining (dostęp: 20.07.2022).

General Inquirer, https://inquirer.sites.fas.harvard.edu/ (dostęp: 1.04.2023).

Giełda Papierów Wartościowych w Warszawie, Udział inwestorów w obrotach giełdowych – dane zagregowane 2009 – I półrocze 2023, https://www.gpw.pl/pub/GPW/analizy/Udzial_inwestorow_1H2023.pdf (dostęp: 10.01.2024).

Giełda Papierów Wartościowych w Warszawie, Zagregowane wyniki badania dot. udziału inwestorów w obrotach instrumentami finansowymi, https://www.gpw.pl/pub/GPW/analizy/2015_P2_Udzialy_20160222.pdf (dostęp: 10.01.2024).

Giglio S., Kelly B., Excess Volatility: Beyond Discount Rates, „The Quarterly Journal of Economics” 2018, nr 133/1, s. 71–127.

Glancy F. H., Yadav S. B., A Computational Model for Financial Reporting Fraud Detection, „Decision Support Systems” 2011, nr 50, s. 595–601.

Główny Urząd Statystyczny, Społeczeństwo informacyjne w Polsce w 2022 r., 2022.

Główny Urząd Statystyczny, Społeczeństwo informacyjne w Polsce. Wyniki badań statystycznych za lata 2012–2016, 2016.

Goel S., Gangolly J., Faerman S. R., Uzuner O., Can Linguistic Predictors Detect Fraudulent Financial Filings?, „Journal of Emerging Technologies in Accounting” 2010, nr 7, s. 25–46.

Goldman E., Martel J., Schneemeier J., A Theory of Financial Media, „Journal of Financial Economics” 2022, nr 145/1, s. 239–258.

Gordon B., Rittenberg L., The Warsaw Stock Exchange: A Test of Market Efficiency, „Comparative Economic Studies” 1995, nr 37/2, s. 1–27.

Goswami P., Madan S., A Survey on Big Data & Privacy Preserving Publishing Techniques, „Advances in Computational Sciences and Technology” 2017, nr 10/3, s. 395–408.

Graszewicz M., Jastrzębski J. (red.), Teorie komunikacji i mediów, Oficyna Wydawnicza ATUT, Wrocław 2009.

Groth S. S., Muntermann J., An Intraday Market Risk Management Approach Based on Textual Analysis, „Decision Support Systems” 2011, nr 50, s. 680–691.

Gu C., Kurov A., Informational Role of Social Media: Evidence from Twitter Sentiment, „Journal of Banking and Finance” 2020, nr 121, s. 1–13.

Guo Li, Shi F., Tu J., Textual Analysis and Machine Leaning: Crack Unstructured Data in Finance and Accounting, „The Journal of Finance and Data Science” 2016, nr 2/3, s. 153–170.

Gurgul H., Analiza zdarzeń na rynkach akcji. Wpływ informacji na ceny papierów wartościowych, Oficyna a Wolters Kluwer business, Warszawa 2012.

Gurgul H., Analiza zdarzeń na rynkach akcji. Wpływ informacji na ceny papierów wartościowych, Oficyna Ekonomiczna, Kraków 2006.

Hajek J., Weak-Form Efficiency Test in the Central European Capital Markets, „Politická Ekonomie” 2007, nr 6, s. 773–791.

Hajek P., Henriques R., Mining Corporate Annual Reports for Intelligent Detection of Financial Statement Fraud – A Comparative Study of Machine Learning Methods, „Knowledge-Based Systems” 2017, nr 128, s. 139–152.

Hall S., Critcher C., Jefferson T., Clarke J., Roberts B., Policing the Crisis: Mugging, the State, and Law and Order, Macmillan, London 1978.

Han J., Kamber M., Data Mining Concepts and Techniques, Elsevier, San Francisco 2006.

Hanna A. J., Turner J. D., Walker C. B., News Media and Investor Sentiment during Bull and Bear Markets, „The European Journal of Finance” 2020, nr 26/14, s. 1377–1395.

Harcup T., O’Neill D., What Is News? Galtung and Ruge Revisited, „Journalism Studies” 2010, nr 2/2, s. 261–280.

Harvard Library, A Guide to Library Resources in Support of Research in Urban Planning and Design, https://guides.library.harvard.edu/gsd/urban (dostęp: 10.01.2024).

Hayek F. A., The Use of Knowledge in Society, „The American Economic Review” 1945, nr 35/4, s. 519–530.

Henry E., Are Investors Influenced by How Earnings Press Releases Are Written?, „Journal of Business Communication” 2008, nr 45/4, s. 363–407.

Heston S. L., Sinha N. R., News versus Sentiment: Predicting Stock Returns from News Stories, „Finance and Economics Discussion Series. Washington: Board of Governors of the Federal Reserve System” 2016, nr 2016–048, s. 1–35.

Huang W., The Role of Financial Media in Corporate Financing, „SSRN Electronic Journal” 2010, s. 1–36.

Hurwitz J., Nugent A., Halper F., Kaufman M., Big Data for Dummies, John Wiley & Sons, New Jersey 2013.

Iatridis G. E., Financial Reporting Language in Financial Statements: Does Pessimism Restrict the Potential for Managerial Opportunism?, „International Review of Financial Analysis” 2016, nr 45, s. 1–17.

Im L. T., San W. P., Anthony P., On K. C., Improving Polarity Classification for Financial News Using Semantic Similarity Techniques, „International Journal of Intelligent Information Technologies” 2018, nr 14/4, s. 39–54.

International Data Corporation, Asia/Pacific Big Data and Cognitive/Artificial Intelligence Systems and Content Analytics, https://www.idc.com/getdoc.jsp?containerId=IDC_P24232 (dostęp: 20.07.2023).

International Telecommunication Union, ICT Facts And Figures 2017, 2017.

Jackson P., Moulinier I., Natural Language Processing for Online Applications: Text Retrieval, Extraction, and Categorization, John Benjamins Publishing, Amsterdam 2007.

Jajuga K., Równowaga rynku kapitałowego – pół wieku historii rodziny CAPM, „Zeszyty Naukowe Uniwersytetu Szczecińskiego. Finanse, Rynki Finansowe, Ubezpieczenia” 2013, nr 768/63, s. 181–192.

Jajuga K., Jajuga T., Inwestycje. Instrumenty finansowe, aktywa niefinansowe, ryzyko finansowe, inżynieria finansowa, Wydawnictwo Naukowe PWN, Warszawa 2008.

Jancenelle V. E., Moral Foundations and Financial Performance: The Effect of Moral Cues during Times of Earnings Uncertainty, „International Journal of Organizational Analysis” 2020, nr 30/2, s. 207–222.

Jancenelle V. E., Organizational Psychological Capital during Earnings Conference Calls: Mitigating Shareholders’ Sell-Off in the Face of Earnings Surprises?, „Journal of Leadership & Organizational Studies” 2018, nr 25/4, s. 469–480.

Jancenelle V. E., Buccieri D., Signaling Downsizing Intentions after a Major Crisis: Does Managerial Authenticity Matter?, „International Journal of Organizational Analysis” 2022, nr 31/1, s. 7–26.

Jancenelle V. E., Storrud-Barnes S. F., Iaquinto A., Making Investors Feel Good during Earnings Conference Calls: The Effect of Warm-Glow Rhetoric, „Journal of General Management” 2019, nr 44/2, s. 63–72.

Jiang W., A Model of Competitive Stock Trading Volume, „Journal of Political Economy” 1994, nr 102/1, s. 127–168.

Johnman M., Vanstone B. J., Gepp A., Predicting FTSE 100 Returns and Volatility Using Sentiment Analysis, „Accounting and Finance” 2018, nr 58, s. 253–274.

Justia U.S. Supreme Court Center: Carpenter v. United States, 484 U.S. 19 (1987). No. 86–422, https://supreme.justia.com/cases/federal/us/484/19 (dostęp: 20.07.2023).

Kahneman D., Pułapki myślenia. O myśleniu szybkim i wolnym, Media Rodzina, Poznań 2011.

Kahneman D., Tversky A., Prospect Theory: An Analysis of Decision under Risk, „The Econometric Society” 1979, nr 47/2, s. 263–292.

Kallen M. J., Scholtens B., Movers and Shakers: Stock Market Response to Induced Seismicity in Oil and Gas Business, „Energies” 2021, nr 14/23.

Kantola A., On the Dark Side of Democracy: The Global Imaginary of Financial Journalism, [w:] E. Cammaerts, N. Carpentier (red.), Reclaiming the Media. Communication Rights and Democratic Media Roles, European Communication Research and Education Association, Bristol 2007.

Kavšek B., Using Words from Daily News Headlines to Predict the Movement of Stock Market Indices, „Managing Global Transitions” 2017, nr 15/2, s. 109–121.

Kearney C., Liu S., Textual Sentiment in Finance: A Survey of Methods and Models, „International Review of Financial Analysis” 2014, nr 33.

Kelly S., Ahmad K., Estimating the Impact of Domain-Specific News Sentiment on Financial Assets, „Knowledge-Based Systems” 2018, nr 150, s. 116–126.

Kepios Pte., Ltd., Digital 2023: Poland. The Essential Guide to the Latest Connected Behaviors, https://indd.adobe.com/view/f37abde9-e4ac-4df0-8eef-3733deaa1cc2?allowFullscreen=true&wmode=opaque (dostęp: 1.04.2023).

Khedr A. E., Salama S. E., Yaseen N., Predicting Stock Market Behavior Using Data Mining Technique and News Sentiment Analysis, „International Journal of Intelligent Systems and Applications” 2017, nr 7, s. 22–30.

Kim Y., Jeong R. S., Ghani I., Text Opinion Mining to Analyze News for Stock Market Prediction, „International Journal of Advances in Soft Computing and Its Applications” 2014, nr 6/1, s. 1–13.

Kirtac K., Germano G., Sentiment Trading with Large Language Models, „Finance Research Letters” 2024, nr 62, s. 105227.

Kleinnijenhuis J., Schultz F., Oegema D., van Atteveldt W., Financial News and Market Panics in the Age of High-Frequency Sentiment Trading Algorithms, „Journalism” 2013, nr 14/2, s. 271–291.

Knowles S., Philips G., Lidberg J., Reporting the Global Financial Crisis: A Longitudinal Tri-Nation Study of Mainstream Financial Journalism, „Journalism Studies” 2017, nr 18/3, s. 322–340.

Koc J. O., Do Institutional Investors Get Affected by Biases in Their Individual Investments, „International Journal of Business & Management Studies” 2022, nr 3/1, s. 44–58.

Kodeks Dobrych Praktyk Wydawców Prasy, Izba Wydawców Prasy.

Kodeks Etyki Stowarzyszenia Dziennikarzy Polskich, Stowarzyszenie Dziennikarzy Polskich.

Kompa K., Matuszewska-Janicka A., The Warsaw Stock Exchange: A Test of Market Efficiency, „International Advances in Economic Research” 2009, nr 15, s. 59–70.

Korkeamäki T., Takalo T., Valuation of Innovation and Intellectual Property: The Case of iPhone, „European Management Review” 2013, nr 10/4, s. 197–210.

Kowalczyk E., O istocie informacji, Wydawnictwo Komunikacji i Łączności, Warszawa 1986.

Kuhn T. S., Struktura rewolucji naukowych, Fundacja Aletheia, Warszawa 2001. Kurtz H., Is the Economy Suffering from Media Malady?, https://www.washingtonpost.com/archive/business/1990/10/28/is-the-economy-suffering-from-media-malady/52d9122b-792d-480d-9658-483e334f31e2 (dostęp: 9.03.2023).

Larose D. T., Discovering Knowledge in Data. An Introduction to Data Mining, John Wiley & Sons Inc., New Jersey 2005.

Larsen V. H., Thorsrud L. A., Asset Returns, News Topics, and Media Effects, „CAMP Working Paper Series” 2017, nr 5, s. 1–48.

Lawrence A., Individual Investors and Financial Disclosure, „Journal of Accounting & Economics” 2013, nr 56, s. 130–147.

Lazaro D. C., Medalla E. M., English as the Language of Trade, Finance and Technology in APEC: An East Asia Perspective, „Philippine Journal of Development” 2004, nr 58/XXXI/2.

Lazzini A., Lazzini S., Balluchi F., Mazza M., Emotions, Moods and Hyperreality: Social Media and the Stock Market during the First Phase of COVID-19 Pandemic, „Accounting, Auditing and Accountability Journal” 2022, nr 35/1, s. 199–215.

Leibenstein H., General X-efficiency Theory and Economic Development, Oxford University Press, New York 1978.

Li F., Annual Report Readability, Current Earnings, and Earnings Persistence, „Journal of Accounting and Economics” 2008, nr 45, s. 221–247.

Li F., Do Stockmarket Investors Understand the Risk Sentiment of corporate Annual Reports?, „SSRN Electronic Journal” 2006, s. 1–53.

Li F., Textual Analysis of Corporate Disclosures: A Survey of the Literature, „Journal of Accounting Literature” 2010, nr 29.

Li J. i inni, A Novel Text-Based Framework for Forecasting Agricultural Futures Using Massive Online News Headlines, „International Journal of Forecasting” 2022, nr 38, s. 35–50.

Li Q., Wang T., Li P., Liu L., Gong Q., Chen Y., The Effect of News and Public Mood on Stock Movements, „Information Sciences” 2014, nr 278, s. 826–840.

Li X., Xie H., Chen L., Wang J., Deng X., News Impact on Stock Price Return via Sentiment Analysis, „Knowledge-Based Systems” 2014, nr 69, s. 14–23.

Li Y., Bu H., Li J., Wu J., The Role of Text-Extracted Investor Sentiment in Chinese Stock Price Prediction with the Enhancement of Deep Learning, „International Journal of Forecasting” 2020, nr 36/4, s. 1541–1562.

Lillo F., Miccichè S., Tumminello M., Piilo J., Mantegna R. N., How News Affects the Trading Behaviour of Different Categories of Investors in a Financial Market, „Quantitative Finance” 2015, nr 15/2, s. 213–229.

Lim Y. X., Tan C., Do Negative Events Really Have Deteriorating Effects on Stock Performance? A Comparative Study on Tesla (US) and Nio (China), „Journal of Asian Business and Economic Studies” 2021, nr 29/2, s. 105–119.

Liu B., Sentiment Analysis and Subjectivity, [w:] R. Herbich, T. Graepel (red.), Handbook of Natural Language Processing, Taylor & Francis Group, Boca Raton 2010.

Loughran T., McDonald B., Barron’s Red Flags: Do They Actually Work?, „Journal of Behavioral Finance” 2011, nr 12/2, s. 90–97.

Loughran T., McDonald B., Measuring Readability in Financial Disclosures, „The Journal of Finance” 2014, nr LXIX/4, s. 1643–1671.

Loughran T., McDonald B., Textual Analysis in Accounting and Finance: A Survey, „Journal of Accounting Research” 2016, nr 54/4, s. 1187–1230.

Loughran T., McDonald B., When Is a Liability Not a Liability? Textual Analysis, Dictionaries, and 10-ks, „The Journal of Finance” 2011, nr 66/1, s. 35–65.

Machlarz A., O ogólnej definicji pojęcia informacji semantycznej, „Filozofia Nauki” 2011, nr 19/1, s. 71–93.

Magnusson C., Arppe A., Eklund T., Back B., Vanharanta H., Visa A., The Language of Quarterly Reports as an Indicator of Change in the Company’s Financial Status, „Information & Management” 2005, nr 42, s. 561–574.

Malkiel B. G., Błądząc po Wall Street. Dlaczego nie można wygrać z rynkiem, WIG-Press, Warszawa 2003.

Manning P., Financial Journalism, News Sources and the Banking Crisis, „Journalism” 2012, nr 14/2, s. 173–189.

Maqsood H. i inni, A Local and Global Event Sentiment Based Efficient Stock Exchange Forecasting Using Deep Learning, „International Journal of Information Management” 2020, nr 50, s. 432–451.

Markowitz H. M., Portfolio Selection, „The Journal of Finance” 1952, nr 7/1, s. 77–91.

McKee A., Textual Analysis: A Beginner’s Guide, SAGE, London 2003.

McKinley K., Stock Market Efficiency and Insider Trading, „Issues in Political Economy” 1999, nr 8, s. 1–14.

McKinsey Global Institute, Big Data: The Next Frontier for Innovation, Competition, and Productivity, 2011.

McKinsey Global Institute, The Age of Analytics: Competing in a Data-Driven World, 2016.

McQuail D., McQuail’s Mass Communication Theory, SAGE Publications, London 2010.

McQuail D., Teoria komunikowania masowego, Wydawnictwo Naukowe PWN, Warszawa 2007.

Merrill G. J., The Political Content of British Economic, Business and Financial Journalism, Palgrave Macmillan, Cham 2019.

Merrill G. J., The Revolution Must Wait: Economic, Business and Financial Journalisms beyond the 2008 Crisis, „Ethical Space: The International Journal of Communication Ethics” 2012, nr 9/1, s. 41–51.

Mielcarz P., Podgórski B., Wermczuk P., Positive Recommendations and Abnormal Returns on the Warsaw Stock Exchange in 2005–2006, [w:] E. Urbańczyk (red.), The Problems of Company Value Management, Publishing House Print Group, 2007.

Mikołajek-Gocejna M., Urbaś T., Racjonalni inwestorzy zamiast racjonalnych oczekiwań w hipotezie rynku efektywnego, „Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu” 2017, nr 481, s. 33–53.

Miller B., The Effects of Reporting Complexity on Small and Large Investor Trading, „Accounting Review” 2010, nr 85, s. 2107–2143.

Miller M. H., Modigliani F., Dividend Policy, Growth, and the Valuation of Shares, „The Journal of Business” 1961, nr 34/4, s. 411–433.

Mittermayer M.-A., Forecasting Intraday Stock Price Trends with Text Mining Techniques, 37th Hawaii International Conference on System Sciences, Big Island, HI, USA 2004.

Mittermayer M.-A., Knolmayer G. F., Text Mining Systems for Market Response to News: A Survey Institute of Information Systems, University of Bern, „Working Paper” 2006, nr 184.

Mrozowski M., Media masowe. Władza, rozrywka, i biznes, Oficyna Wydawnicza ASPRA-JR, Warszawa 2001.

Mukhopadhyay S., Opinion Mining in Management Research: The State of the Art and the Way Forward, „Opsearch” 2018, nr 55, s. 221–250.

Mynarski S., Elementy teorii systemów i cybernetyki, Państwowe Wydawnictwo Naukowe, Warszawa 1979.

Nassirtoussi A. K., Aghabozorgi S., Wah T. Y., Ngo D. C. L., Text Mining for Market Prediction: A Systematic Review, „Expert Systems with Applications” 2014, nr 41, s. 7653–7670.

Nassirtoussi A. K., Aghabozorgi S., Wah T. Y., Ngo D. C. L., Text Mining of News-Headlines for FOREX Market Prediction: A Multi-Layer Dimension Reduction Algorithm with Semantics and Sentiment, „Expert Systems with Applications” 2015, nr 42, s. 306–324.

Nauta D., The Meaning of Information, Mouton & Co, The Hague, Paris 1972.

Nikfarjam A., Emadzadeh E., Muthaiyah S., Text Mining Approaches for Stock Market Prediction, 2010, The 2nd International Conference on Computer and Automation Engineering (ICCAE), 2010 Singapore.

Nisar T. M., Yeung M. S., Twitter as a Tool for Forecasting Stock Market Movements: A Short-Window Event Study, „The Journal of Finance and Data Science” 2018, nr 4/2, s. 101–119.

Nizer P. S. M., Nievola J. C., Predicting Published News Effect in the Brazilian Stock Market, „Expert Systems with Applications” 2012, nr 39, s. 10674–10680.

Nobelprize.org, The Sveriges Riksbank Prize in Economic Sciences in Memory of Alfred Nobel 2002, https://www.nobelprize.org/prizes/economic-sciences/2002/summary (dostęp: 7.03.2024).

Nogueira Reis P. M., Pinho C., A New European Investor Sentiment Index (EURsent) and Its Return and Volatility Predictability, „Journal of Behavioral and Experimental Finance” 2020, nr 27, s. 1–13.

Nowicka E., Świat człowieka – świat kultury, Polskie Wydawnictwo Naukowe, Warszawa 2006.

O’Connell P. G. J., Teo M., Institutional Investors, Past Performance, and Dynamic Loss Aversion, „The Journal of Financial and Quantitative Analysis” 2009, nr 44/1, s. 155–188.

Oliveira N., Cortez P., Areal N., Stock Market Sentiment Lexicon Acquisition Using Microblogging Data and Statistical Measures, „Decision Support Systems” 2016, nr 85, s. 62–73.

Oncu E., The Impact of COVID-19 on Health Sector Stock Returns, „MPRA Paper” 2021.

Oracle Polska, Czym jest relacyjna baza danych (RDBMS)?, https://www.oracle.com/pl/database/what-is-a-relational-database/ (dostęp: 1.04.2023).

O’Reilly Media, Inc., Big Data Now: 2014 Edition, O’Reilly Media, Sebastopol 2015.

Palczewski M., News values w amerykańskich i europejskich teoriach selekcji informacji, [w:] M. Graszewicz, J. Jastrzębski (red.), Teorie komunikacji i mediów, Oficyna Wydawnicza ATUT, Wrocław 2009.

Pan Z., Kosicki G. M., Framing Analysis: An Approach to News Discourse, „Political Communication” 1993, nr 10, s. 55–75.

Parkiet, https://www.parkiet.com/ (dostęp: 10.01.2024).

Pfarrer M. D., Polloc T. G., Rindova V. P., A Tale of Two Assets: The Effects of Firm Reputation and Celebrity on Earnings Surprises and Investors’ Reactions, „Academy of Management Journal” 2010, nr 53/5, s. 1131–1152.

Piao J., Financial Media, Globalisation, and China’s Economic Integration: Comparing Narrative Construction of The Economist and Caijing, Rozprawa doktorska, University of Westminster, 2015.

Picasso A., Merello S., Ma Y., Cambria E., Technical Analysis and Sentiment Embeddings for Market Trend Prediction, „Expert Systems with Applications” 2019, nr 135, s. 60–70.

Pixley J., Emotions in Finance: Booms, Busts and Uncertainty, Cambridge University Press, Cambridge 2012.

Podstawka M., Finanse. Instytucje, instrumenty, podmioty, rynki, regulacje, Wydawnictwo Naukowe PWN, Warszawa 2017.

Polak K., Wpływ opublikowanej rekomendacji na reakcje inwestorów, „Studia i Materiały Wydziału Zarządzania Uniwersytetu Warszawskiego” 2018, nr 27/2, s. 127–135.

Poland A.M. Daily, https://polandam.pl/ (dostęp: 10.01.2024).

Polish News Bulletin, https://pnb.pl/ (dostęp: 10.01.2024).

Purda L., Skillicorn D., Accounting Variables, Deception, and a Bag of Words: Assessing the Tools of Fraud Detection, „Contemporary Accounting Research” 2014, nr 32/3, s. 1193–1223.

PwC, Where Have You Been All My Life? How the Financial Services Industry Can Unlock the Value in Big Data, 2013.

Rasheed H., Ahmad H., Javid A. Y., Gold vs. PSX Sectors during Political Uncertainties: An Event Study Analysis, „Business Review” 2022, nr 16/2, s. 1–20.

Ravisankar P., Ravi V., Raghava Rao G., Bose I., Detection of Financial Statement Fraud and Feature Selection Using Data Mining Techniques, „Decision Support Systems Journal” 2011, nr 50, s. 491–492.

Reboredo J. C., Ugolini A., The Impact of Twitter Sentiment on Renewable Energy Stocks, „Energy Economics” 2018, nr 76, s. 153–169.

Rocca L., Giacomini D., Zola P., Environmental Disclosure and Sentiment Analysis: State of the Art and Opportunities for Public-Sector Organisations, „Meditari Accountancy Research” 2021, nr 29/3, s. 617–646.

Rochester J. B., Using Computers and Information, Education and Training, Indianapolis 1996.

Rostek K., Młodzianowski P., Współzależność informacji sieciowych oraz zmian indeksów zachodzących na Giełdzie Papierów Wartościowych w Warszawie, „Zeszyty Naukowe Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach” 2017, nr 115, s. 249–263.

Rouhani S., Abedin E., Crypto-Currencies Narrated on Tweets: A Sentiment Analysis Approach, „International Journal of Ethics and Systems” 2020, nr 36/1, s. 58–72.

Rozporządzenie Parlamentu Europejskiego i Rady (UE) Nr 596/2014 z dnia 16 kwietnia 2014 r. w sprawie nadużyć na rynku (rozporządzenie w sprawie nadużyć na rynku) oraz uchylające dyrektywę 2003/6/WE Parlamentu Europejskiego i Rady i dyrektywy Komisji 2003/124/WE, 2003/125/WE i 2004/72/WE. Dziennik Urzędowy Unii Europejskiej L 173/1.

Samuelson P. A., Nordhaus W. D., Ekonomia, Dom Wydawniczy Rebis, Poznań 2017.

Samunderu E., Yordanova A., The Effect of Public Contract Winning Announcements on Share Prices: An Event-Based Study on the Pharmaceutical Industry, „Journal of Economic Analysis” 2024, nr 3/1, s. 1–26.

Saurabh S., Dey K., Unraveling the Relationship between Social Moods and the Stock Market: Evidence from the United Kingdom, „Journal of Behavioral and Experimental Finance” 2020, nr 26, s. 1–9.

Schumaker R. P., Chen H., A Quantitative Stock Prediction System Based on Financial News, „Information Processing and Management” 2009, nr 45/5, s. 571–583.

Schumaker R. P., Chen H., Textual Analysis of Stock Market Prediction Using Breaking Financial News: The AZFinText System, „ACM Transactions on Information Systems” 2009, nr 27/2, s. 1–19.

Schumaker R. P., Zhang Y., Huang Ch.-N., Chen H., Evaluating Sentiment in Financial News Articles, „Decision Support Systems” 2012, nr 53, s. 458–464.

Schuster T., News Events and Price Movements. Price Effects of Economic and Non-Economic Publications in the News Media, „Leipzig University Working Paper” 2003, nr 03–02, s. 1–34.

Schuster T., News Events and Price Movements. Price Effects of Economic and Non-Economic Publications in the News Media, „SSRN Electronic Journal” 2003, s. 3–34.

Sekuła P., Empiryczny test strategii fundamentalnej, „Prace Naukowe Uniwersytetu Ekonomicznego we Wrocławiu” 2012, nr 271, s. 280–289.

Shaharuddin N. i inni, The Role of English Proficiency and Financial Development in Stimulating Economic Growth, „Journal of Entrepreneurship, Business and Economics” 2022, nr 10/2S2, s. 18–37.

Shannon C. E., A Mathematical Theory of Communication, „The Bell System Technical Journal” 1948, nr 27/3, s. 379–423.

Sharpe W. F., Capital Asset Prices: A Theory of Market Equilibrium under Conditions of Risk, „The Journal of Finance” 1964, nr 19/3, s. 425–442.

Shefrin H., A Behavioral Approach to Asset Pricing, Elsevier, Burlington 2008. Shefrin H., Beyond Greed and Fear: Understanding Behavioral Finance and the Psychology of Investing, Oxford University Press, Oxford 2002.

Shefrin H., The Behavioral Paradigm Shift, „RAE – Revista de Administração de Empresas” 2015, nr 55/1, s. 95–98.

Shiller R. J., Irrational Exuberance, Princeton University Press, New Jersey 2015.

Shoemaker P. J., Gatekeeping. Communication Concepts, Sage Publications, London 1991.

Shoemaker P. J., Vos T., Gatekeeping Theory, Routledge, New York 2009.

Sias W. R., Institutional Herding, „Review of Financial Studies” 2004, nr 17/1, s. 165–206.

Siganos A., Vagenas-Nanos E., Verwijmeren P., Facebook’s Daily Sentiment and International Stock Markets, „Journal of Economic Behavior & Organization” 2014, nr 107/B, s. 730–743.

Simon H., A Behavioral Model of Rational Choice, „The Quarterly Journal of Economics” 1955, nr 69/1, s. 99–118.

Smailovic J., Grcar M., Lavrac N., Znidarsic M., Stream-Based Active Learning for Sentiment Analysis in the Financial Domain, „Information Sciences” 2014, nr 285, s. 181–203.

Snarska M., Efektywność informacyjna giełdowych rynków akcji, [w:] J. Czekaj (red.), Efektywność giełdowego rynku akcji w Polsce z perspektywy dwudziestolecia, Polskie Wydawnictwo Ekonomiczne, Warszawa 2014.

Sobczyk M., Statystyka, Wydawnictwo Naukowe PWN, Warszawa 2007.

Song M., Shin K.-S., Forecasting Economic Indicators Using a Consumer Sentiment Index: Survey-Based versus Text-Based Data, „Journal of Forecasting” 2019, nr 38, s. 504–518.

Starzeński O., Analiza rynków fi ansowych, Wydawnictwo C.H. Beck, Warszawa 2011.

Statman M., Behavioral Finance: Finance with Normal People, „Borsa Istanbul Review” 2014, nr 14/2, s. 65–73.

Stiglitz J. E., Informacja i zmiana paradygmatu w ekonomii, „Gospodarka Narodowa” 2004, nr 3, s. 95–114.

Stiglitz J. E., Grossman S. J., On the Impossibility of Informationally Efficient Markets, „The American Economic Review” 1980, nr 70 (3), s. 393–408.

Storkenmaier A., Financial Markets and Public Information, KIT Scientific Publishing, Karlsruhe 2011.

Stowarzyszenie Inwestorów Indywidualnych, Oto najpopularniejsze źródła informacji dla inwestorów [OBI 2022], https://www.sii.org.pl/15945/aktualnosci/badania-i-rankingi/oto-najpopularniejsze-zrodla-informacji-dla-inwestorow-obi-2022.html (dostęp: 8.03.2023).

Strauß N., Financial Journalism in Today’s High-Frequency News and Information Era, „Journalism” 2019, nr 20/2, s. 274–291.

Strauss N., Smith Ch. H., Buying on Rumors: How Financial News Flows Affect the Share Price of Tesla, „Corporate Communications: An International Journal” 2019, nr 24/4, s. 593–607.

Strauß N., Vliegenthart R., Verhoeven P., Lagging behind? Emotions in Newspaper Articles and Stock Market Prices in the Netherlands, „Public Relations Review” 2016, nr 42, s. 548–555.

Szczepański R., Semantyczne Teorie Informacji, „Studia Metodologiczne” 2015, nr 34, s. 61–81.

Szyszka A., Behavioral Finance and Capital Markets: How Psychology Influences Investors and Corporations, Palgrave Macmillan, New York 2013.

Tambini D., What Are Financial Journalists For?, „Journalism Studies” 2010, nr 11/2, s. 158–174.

Tetlock P. C., Giving Content to Investor Sentiment: The Role of Media in the Stock Market Published, „The Journal of Finance” 2007, nr LXII/3, s. 1139–1168.

Thaler R., Judgment and Decision Making under Uncertainty: What Economists Can Learn from Psychology, „Risk Analysis in Agriculture Research and Educational Developments” 1980, January 16–18, Tucson, Arizona.

Thompson P. A., Market Manipulation? Applying the Propaganda Model to Financial Media Reporting, „Westminster Papers in Communication and Culture” 2009, nr 6/2, s. 73–96.

Throckmorton Ch. S., Mayew W. J., Venkatachalam M., Collins L. M., Financial Fraud Detection Using Vocal, Linguistic and Financial Cues, „Decision Support Systems Journal” 2015, nr 74, s. 78–87.

Tsai C.-W., Lai C.-F., Chao H.-C., Vasilakos A. V., Big Data Analytics: A Survey, „Journal of Big Data” 2015, nr 2/21, s. 1–32.

Tsai F.-T., Lu H.-M., Hung M.-W., The Impact of News Articles and Corporate Disclosure on Credit Risk Valuation, „Journal of Banking & Finance” 2016, nr 68, s. 100–116.

Tsukioka Y., Yanagi J., Takada T., Investor Sentiment Extracted from Internet Stock Message Boards and IPO Puzzles, „International Review of Economics and Finance” 2018, nr 56, s. 205–217.

Tutorials Point, Data Mining Data Pattern Evaluation, 2017.

Tversky A., Kahneman D., Advances in Prospect-Theory – Cumulative Representation of Uncertainty, „Journal of Risk and Uncertainty” 1992, nr 5/4, s. 297–323.

Tversky A., Kahneman D., The Framing of Decisions and the Psychology of Choice, „Science” 1981, nr 211, s. 453–458.

Tymiakin L., O triadzie komunikacyjnej: wartościowanie – emocje – ekspresja (On the Communication Trifecta: Valuating – Emotions – Expression), „Annales Universitatis Mariae Curie-Skłodowska Lublin – Polonia” 2017, nr II, s. 199–216.

Umar M. i inni, Crypto Swings and the Performance of Carbon-Intensive Equity Funds in China, „Resources Policy” 2022, nr 78, s. 1–6.

University of Oxford, Reuters Institute for the Study of Journalism, Media Coverage of Banking and Financial News, 2014.

Usher N., Making Business News: A Production Analysis of The New York Times, „International Journal of Communication” 2017, nr 11, s. 363–382.

Ustawa z dnia 26 stycznia 1984 r. – Prawo prasowe, Dz.U. 1984 Nr 5, poz. 24.

Ustawa z dnia 29 lipca 2005 r. – O obrocie instrumentami finansowymi, Dz.U. 2005 Nr 183, poz. 1538.

Van de Kauter M., Breesch D., Hoste V., Fine-Grained Analysis of Explicit and Implicit Sentiment in Financial News Articles, „Expert Systems with Applications” 2015, nr 42, s. 4999–5010.

Verma R., Soydemir G., The Impact of U.S. Individual and Institutional Investor Sentiment on Foreign Stock Markets, „Journal of Behavioral Finance” 2006, nr 7/3, s. 128–144.

Vijayarani S., Ilamathi J., Nithya S., Preprocessing Techniques for Text Mining – An Overview, „International Journal of Computer Science & Communication Networks” 2015, nr 5/1, s. 7–16.

Wang J., A Model of Competitive Stock Trading Volume, „Journal of Political Economy” 1994, nr 102/1, s. 127–168.

Wang J.-Z., Forecasting Stock Indices with Back Propagation Neural Network, „Expert Systems with Applications” 2011, nr 38, s. 14346–14355.

Waszkowski A., Hipoteza efektywności rynku-weryfikacja dla indeksu WIG-Spożywczy, „Problemy Rolnictwa Światowego” 2011, nr 11/26/4, s. 169–176.

West J., Bhattacharya M., Intelligent Financial Fraud Detection: A Comprehensive Review, „Computers and Security” 2016, nr 57.

Wędrowska E., Ilościowe i jakościowe koncepcje informacji, „Ekonomiczne Problemy Usług” 2010, nr 57, s. 49–56.

Whittlesey Ch. R., The Banking System and War Finance, National Bureau of Economic Research, Cambridge 1943.

Wiseman R. M., Gomez-Mejia L. R., A Behavioral Agency Model of Management Risk Taking, „Academy of Management Review” 1998, nr 23/1, s. 133–153.

Witkowska D., Żebrowska-Suchodolska D., Badanie słabej formy efektywności informacyjnej GPW, „Studia i Prace Wydziału Nauk Ekonomicznych i Zarządzania” 2008, nr 9, s. 155–165.

Woleński J., Informacja i semantyka, „Filozofia Nauki” 1997, nr 5/1, s. 59–64.

Wujec M., Analysis of the Financial Information Contained in the Texts of Current

Reports: A Deep Learning Approach, „Journal of Risk and Financial Management” 2021, nr 14/582, s. 1–17.

Wuthrich B., Cho V., Leung S., Permunetilleke D., Sankaran K., Zhang J., Lam W., Daily Stock Market Forecast from Textual Web Data, „Conference Paper”, San Diego CA, USA 1998.

Xing F. Z., Cambria E., Zhang Y., Sentiment-Aware Volatility Forecasting, „Knowledge-Based Systems” 2019, nr 176, s. 68–76.

Yoshimori M., Shadow Exchange Rates – Changing the Winds with Headwinds and Tailwinds, „SocioEconomic Challenges” 2019, nr 3, s. 78–88.

You H., Zhang X., Financial Reporting Complexity and Investor Underreaction to 10-K Information, „Review of Accounting Studies” 2009, nr 14/4, s. 559–586.

Yu J.-R. i inni, Dynamic Rebalancing Portfolio Models with Analyses of Investor Sentiment, „International Review of Economics and Finance” 2022, nr 77, s. 1–13.

Yu L. C., Wu J. L., Chang P. C., Chu H. S., Using a Contextual Entropy Model to Expand Emotion Words and Their Intensity for the Sentiment Classification of Stock Market News, „Knowledge-Based Systems” 2013, nr 41, s. 89–97.

Yu Y., Duan W., Cao Q., The Impact of Social and Conventional Media on Firm Equity Value: A Sentiment Analysis Approach, „Decision Support Systems” 2013, nr 55/4, s. 919–926.

Zielonka P., Giełda i psychologia. Behawioralne aspekty inwestowania na rynku papierów wartościowych, CeDeWu, Warszawa 2017.

Zikopoulos P. C., Eaton Ch., deRoos D., Deutsch T., Lapis G., Understanding Big Data Analytics for Enterprise Class Hadoop and Streaming Data, McGraw-Hill, New York 2011.

Zubair S., Cios K. J., Extracting News Sentiment and Establishing its Relationship with the S&P500 Index, 48th Hawaii International Conference on System Sciences Extracting, 2015 Kauai, HI, USA.

Żebrowska-Suchodolska, D., Weryfikacja słabej formy efektywności za pomocą testów statystycznych na GPW w Warszawie, „Optimum Studia Ekonomiczne” 2009, nr 1/41, s. 55–68.

Żurek M., Inklinacje behawioralne na rynkach kapitałowych w świetle modeli SEM, Wydawnictwo Naukowe Uniwersytetu Mikołaja Kopernika, Toruń 2016.

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How to Cite

Niedzielska, Ewelina. 2025. The Role of Non-Financial Information Sentiment in Shaping Capital Market Reactions. Finance. Poland: Lodz University Press. https://doi.org/10.18778/8331-900-1.