An impulse response function describes a variable's evolution along a specified time horizon after a shock in the regression system.
The information content of internet stock message boardsiFeel 2.0: a multilingual benchmarking system for sentence‐level sentiment analysisProceedings of the 10th International AAAI Conference on Web and Social MediaMedia and the stock market: their relationship and abnormal dynamics around earnings announcementsQuestioning the news about economic growth: sparse forecasting using thousands of news‐based sentiment valuesManagers set the tone: equity incentives and the tone of earnings press releasesSentiWordNet 3.0: an enhanced lexical resource for sentiment analysis and opinion miningProceedings of the 7th Conference on International Language Resources and EvaluationInvestor sentiment and the cross‐section of stock returnsContent analysis of business communication: introducing a German dictionaryInformation, animal spirits, and the meaning of innovations in consumer confidenceSentiments and economic activity: evidence from US statesTwo‐sided equivalence testing of the difference between two meansProceedings of the 23rd International Conference on Machine LearningJockeying for position in CEO letters: impression management and sentiment analyticsWhen does the tone of earnings press releases matter?Affective norms for English words (ANEW): instruction manual and affective ratingsHow news and its context drive risk and returns around the worldBuilding news measures from textual data and an application to volatility forecastingEvery tweet counts?
Semantic orientation applied to unsupervised classification of reviewsProceedings of the 40th Annual Meeting on Association for Computational LinguisticsThe framing of decisions and the psychology of choiceThe good, the bad and the implicit: a comprehensive approach to annotating explicit and implicit sentimentSurvey of compressed‐domain features used in audio‐visual indexing and analysisFinancial stability and the Fed: evidence from congressional hearingsAffective news: the automated coding of sentiment in political textsCharacter‐level convolutional networks for text classificationRegularization and variable selection via the elastic netThe Economic Policy Uncertainty Index for Flanders, Wallonia and Belgium, Abnormal Media Tone, Returns, and Earnings Announcements, The joint assessment of sentiment and topics is most prevalent in the literature (see, e.g., the sentiment‐adjusted topic measures of Thorsrud, This section is mainly approached as the problem of modeling an outcome variable A very simple setup exists in modeling the output variable with a small number of sentiment variables and possibly other explanatory variables through a linear regression. This has to do with both a good and exhaustive definition of the control variables The magnitude of the impact of sentiment variables on economic and financial variables is highly subject to time variation.
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