{"title":"Market Reaction to iPhone Rumors","authors":"Zhang Wu, T. Chong, Yuchen Liu","doi":"10.3233/AF200302","DOIUrl":null,"url":null,"abstract":" The paper studies the effects of new product rumors about the iPhone on the stock price of the Apple company. We scrape iPhone rumors from Macrumors.com, and obtain a dataset covering 1,264 articles containing 180 words on average between January 2002 and December 2015. Moreover, we construct a market-decided lexicon to transform qualitative information into quantitative data, and analyze what type of words and what information embedded in the rumors are apt to impact on Apple’s stock price. Unlike previous studies, we do not rely on the widely-adopted Harvard-IV-4 dictionary, as the coefficients of the words from the dictionary are neither significant nor consistent with their polarities, compared with our results. The paper obtains three main findings. First, the spread of rumors has a significant impact on the stock price. Second, positive words, rather than negative words, play an important role in affecting the stock price. Third, the stock price is highly sensitive to the words related to the appearance of the iPhone.","PeriodicalId":42207,"journal":{"name":"Algorithmic Finance","volume":"9 1","pages":"1-23"},"PeriodicalIF":0.3000,"publicationDate":"2021-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.3233/AF200302","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Algorithmic Finance","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/AF200302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS, FINANCE","Score":null,"Total":0}
引用次数: 1
Abstract
The paper studies the effects of new product rumors about the iPhone on the stock price of the Apple company. We scrape iPhone rumors from Macrumors.com, and obtain a dataset covering 1,264 articles containing 180 words on average between January 2002 and December 2015. Moreover, we construct a market-decided lexicon to transform qualitative information into quantitative data, and analyze what type of words and what information embedded in the rumors are apt to impact on Apple’s stock price. Unlike previous studies, we do not rely on the widely-adopted Harvard-IV-4 dictionary, as the coefficients of the words from the dictionary are neither significant nor consistent with their polarities, compared with our results. The paper obtains three main findings. First, the spread of rumors has a significant impact on the stock price. Second, positive words, rather than negative words, play an important role in affecting the stock price. Third, the stock price is highly sensitive to the words related to the appearance of the iPhone.
期刊介绍:
Algorithmic Finance is both a nascent field of study and a new high-quality academic research journal that seeks to bridge computer science and finance. It covers such applications as: High frequency and algorithmic trading Statistical arbitrage strategies Momentum and other algorithmic portfolio management Machine learning and computational financial intelligence Agent-based finance Complexity and market efficiency Algorithmic analysis of derivatives valuation Behavioral finance and investor heuristics and algorithms Applications of quantum computation to finance News analytics and automated textual analysis.