Relationship between Twitter activity and stock performance: evidence from Turkish airline industry

IF 2.3 Q3 REGIONAL & URBAN PLANNING
Foresight Pub Date : 2023-01-31 DOI:10.1108/fs-11-2021-0224
Javid Ismayil, Oguz Demir
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引用次数: 0

Abstract

Purpose The purpose of this paper is to analyze the correlation between the Twitter activity of two airline companies and their stock performance at the Istanbul Stock Exchange (BIST). Design/methodology/approach Overall, 113,018 tweets were divided into 34,152 semantic and 78,866 share tweets. Semantic tweets are tweets mentioning company’s products or services and were labeled manually and with deep learning models. Share tweets were divided into 13,618 relevant and 65,248 irrelevant tweets. Findings A positive correlation was found between share tweets and stock performance. Semantic tweets did not display a correlation with stock performance. Relevant share tweets displayed as a strong correlation as all share tweets for one company. Also, the manual labeling of 8,000 tweets led to the discovery of many insights related to service provision in the airway industry, management of digital support channels, management of reputation on social media and using Twitter as a customer support platform. Practical implications Relevant share tweets comprise only 20% of all share tweets for one company and show the same level of correlation with stock performance. This means that the efficiency of business intelligence solutions created to monitor Twitter activity can be improved five times by saving computational power, network bandwidth and data storage. Originality/value Previous research has analyzed all Twitter activity taken together. By dividing tweets into semantic and share tweets, this paper illustrates that it is, in fact, share tweets that are correlated with stock performance and not semantic tweets.
Twitter活动与股票表现的关系:来自土耳其航空业的证据
本文的目的是分析两家航空公司的Twitter活动与其在伊斯坦布尔证券交易所(BIST)的股票表现之间的相关性。总体而言,113,018条推文被分为34152条语义推文和78,866条共享推文。语义推文是指提及公司产品或服务的推文,并通过人工标记和深度学习模型进行标记。分享推文被分为13618条相关推文和65248条不相关推文。发现微博分享与股票表现呈正相关。语义推文没有显示出与股票表现的相关性。相关的分享推文显示为强相关性,因为所有分享推文为一家公司。此外,通过对8000条推文进行人工标注,发现了许多与航空行业服务提供、数字支持渠道管理、社交媒体声誉管理以及将Twitter作为客户支持平台有关的见解。实际意义相关股票推文仅占一家公司所有股票推文的20%,并且与股票表现出相同水平的相关性。这意味着,通过节省计算能力、网络带宽和数据存储,为监控Twitter活动而创建的商业智能解决方案的效率可以提高五倍。原创性/价值之前的研究分析了所有Twitter活动。本文将推文分为语义推文和共享推文,说明实际上是共享推文与股票表现相关,而不是语义推文。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Foresight
Foresight REGIONAL & URBAN PLANNING-
CiteScore
5.10
自引率
5.00%
发文量
45
期刊介绍: ■Social, political and economic science ■Sustainable development ■Horizon scanning ■Scientific and Technological Change and its implications for society and policy ■Management of Uncertainty, Complexity and Risk ■Foresight methodology, tools and techniques
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