The Impact of Investor Sentiment on Direction of Stock Price Changes: Evidence from the Polish Stock Market

The purpose of this research is to examine the impact of sentiment derived from news headlines on the direction of stock price changes. The study examines stocks listed on the WIG-banking sub-sector index on the Warsaw Stock Exchange. Two types of data were used: textual and market data. The rese...

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Main Author: Kamil Polak
Format: Article
Language:English
Published: University of Warsaw 2021-12-01
Series:Journal of Banking and Financial Economics
Subjects:
Online Access:https://press.wz.uw.edu.pl/cgi/viewcontent.cgi?article=1024&context=jbfe
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author Kamil Polak
author_facet Kamil Polak
author_sort Kamil Polak
collection DOAJ
description The purpose of this research is to examine the impact of sentiment derived from news headlines on the direction of stock price changes. The study examines stocks listed on the WIG-banking sub-sector index on the Warsaw Stock Exchange. Two types of data were used: textual and market data. The research period covers the years 2015–2018. Through the research, 7,074 observations were investigated, of which 3,390 with positive sentiment, 2,665 neutral, and 1,019 negative. In order to examine the predictive power of sentiment, six machine learning models were used: Decision Tree Classifier, Random Forest Classifier, XGBoost Classifier, KNN Classifier, SVC and Gaussian Naive Bayes Classifier. Empirical results show that the sentiment of news headlines has no significant explanatory power for the direction of stock price changes in one-day time frame.
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institution Kabale University
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record_format Article
series Journal of Banking and Financial Economics
spelling doaj-art-b3c7568931cc4fa099211d116957977e2025-01-03T00:36:14ZengUniversity of WarsawJournal of Banking and Financial Economics2353-68452021-12-0120212(16)729010.7172/2353-6845.jbfe.2021.2.4The Impact of Investor Sentiment on Direction of Stock Price Changes: Evidence from the Polish Stock MarketKamil Polak0https://orcid.org/0000-0002-9897-8431Kozminski University, Warsaw, PolandThe purpose of this research is to examine the impact of sentiment derived from news headlines on the direction of stock price changes. The study examines stocks listed on the WIG-banking sub-sector index on the Warsaw Stock Exchange. Two types of data were used: textual and market data. The research period covers the years 2015–2018. Through the research, 7,074 observations were investigated, of which 3,390 with positive sentiment, 2,665 neutral, and 1,019 negative. In order to examine the predictive power of sentiment, six machine learning models were used: Decision Tree Classifier, Random Forest Classifier, XGBoost Classifier, KNN Classifier, SVC and Gaussian Naive Bayes Classifier. Empirical results show that the sentiment of news headlines has no significant explanatory power for the direction of stock price changes in one-day time frame.https://press.wz.uw.edu.pl/cgi/viewcontent.cgi?article=1024&context=jbfesentiment analysisnatural language processingmachine learningfinancial forecastingbehavioral finance
spellingShingle Kamil Polak
The Impact of Investor Sentiment on Direction of Stock Price Changes: Evidence from the Polish Stock Market
Journal of Banking and Financial Economics
sentiment analysis
natural language processing
machine learning
financial forecasting
behavioral finance
title The Impact of Investor Sentiment on Direction of Stock Price Changes: Evidence from the Polish Stock Market
title_full The Impact of Investor Sentiment on Direction of Stock Price Changes: Evidence from the Polish Stock Market
title_fullStr The Impact of Investor Sentiment on Direction of Stock Price Changes: Evidence from the Polish Stock Market
title_full_unstemmed The Impact of Investor Sentiment on Direction of Stock Price Changes: Evidence from the Polish Stock Market
title_short The Impact of Investor Sentiment on Direction of Stock Price Changes: Evidence from the Polish Stock Market
title_sort impact of investor sentiment on direction of stock price changes evidence from the polish stock market
topic sentiment analysis
natural language processing
machine learning
financial forecasting
behavioral finance
url https://press.wz.uw.edu.pl/cgi/viewcontent.cgi?article=1024&context=jbfe
work_keys_str_mv AT kamilpolak theimpactofinvestorsentimentondirectionofstockpricechangesevidencefromthepolishstockmarket
AT kamilpolak impactofinvestorsentimentondirectionofstockpricechangesevidencefromthepolishstockmarket