Impact of Firm-Initiated Tweets on Stock Return and Trading Volume

Ganesh, A. U. Jai; Iyer, Subramanian S.

doi:10.1080/15427560.2021.1949717

Cited by 11 publications

(4 citation statements)

References 31 publications

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“…In S2.3 Section in S1 File , we evaluate stock market responses to Russian holidays, motivated by existing work documenting co-movements between online sentiment and stock-related outcomes, including market volatility [ 16 , 17 ], stock or Bitcoin returns [ 18 , 19 ], and trading volumes [ 20 , 21 ]. Results in S13 Table in S1 File show neither Russian holidays nor US holidays affect financial indices.…”

Section: Impact Of Russian Factors On Election Odds and Hedonometermentioning

confidence: 99%

Reduced trolling on Russian holidays and daily US Presidential election odds

Almond

Vogel

2022

PLoS ONE

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Russian trolls generally supported the Trump campaign and were particularly active on Twitter 2015-2017. We find that trolling fell 35% on Russian holidays and to a lesser extent, when temperatures were cold in St. Petersburg. Exogenous variation in trolling by day allows us to consider indirectly-affected political behaviors in the US—outcomes that are less traceable via tweet sharing but potentially more important to policymakers than the direct dissemination previously studied. As a case in point, we describe reduced form evidence that Russian holidays affected daily trading prices in 2016 election betting markets. This response is consistent with successful Russian interference in support of Trump.

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Section: Impact Of Russian Factors On Election Odds and Hedonometermentioning

confidence: 99%

Reduced trolling on Russian holidays and daily US Presidential election odds

Almond

Vogel

2022

PLoS ONE

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“…Technical factors are also classified as an analysis that uses one of the analysis methods by evaluating the development of stocks (Vijh et al, 2020). Trading volume can provide information that can be utilized and become a direction in determining the uncertainty in stock returns (Ganesh & Iyer, 2023). Whereas a higher market capitalization usually implies a change in the value of the stock and can affect the return on investment or return by investors, conversely, a declining market capitalization tends to reduce the attractiveness of the company in the eyes of potential investors (Gavrilakis & Floros, 2023).…”

Section: Introductionmentioning

confidence: 99%

The Impact Of Fundamentals And Technical Analysis On Stock Returns In Banking Companies Listed For Indonesia Stock Exchange 2013-2022

Ardana,

Setiyono,

Sriyono

2024

Ecombis. Rev. J. Ilm. Eco. and Bussines.

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This study aims to provide understanding, knowledge, and testing of the Effect of Fundamental Factors Analysis and Technical Analysis on Stock Returns of Banking Companies listed on the Indonesia Stock Exchange for 2013-2022. The sampling technique used purposive sampling using the documentation model and data collection totaling 7 banking companies listed on the Stock Exchange and 70 total samples of banking companies in the 10-year time frame. The data analysis technique used in the data processing software is Eviews 12, using a linear regression model. The results of this study from the tests that have been carried out show that fundamental components such as price to sales ratio do not affect Stock Returns, Earnings per Share has an effect on Stock Returns, Cash Flow From Operation affects Stock Returns and technical components such as Trading Volume affects Stock Returns, and Market Capitalization does not affect Stock Returns.

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“…• the positive association between Twitter use by companies and liquidity and share price returns (Ganesh & Iyer 2021;Mhanna & Sun 2020;Tan & Tas 2021); • the ability of Twitter sentiment to forecast liquidity and share price returns (Saleemi 2020); and • the negative association between Twitter use, and both information asymmetry (Blankespoor, Miller & White 2014;Prokofieva 2015) and the cost of equity (Albarrak et al 2020;Elnahass, Papaguannidis & Salama 2020).…”

Section: Introductionmentioning

confidence: 99%

“…Although there is no shortage in variety of research designs such as event studies(Boylan & Boylan 2017;Chahine & Malhotra 2018;Dinh, Kopf & Seitz 2017), true and quasiexperimental studies(Cade 2018;Kelton & Pennington 2020;Rakowski, Shirley & Stark 2019;Snow 2015), surveys(Husain et al 2021) and systematic literature reviews(Nuseir & Qasim 2021;Zhang et al 2022), the majority of studies in this domain depended on quantitative research methods such as multivariate regressions using archival data.Furthermore, these studies can be categorised according to the proxy used to measure Twitter. A substantial number of studies measured Twitter use by assigning a binary variable if companies had adopted Twitter(Balasubramanian, Fang & Yang 2021;Boylan & Boylan 2017;Ghardallou 2021;Jung et al 2018;Khlifi 2021), while others used a combination of the number of tweets, replies, likes and followers(Ganesh & Iyer 2021;Mhanna & Sun 2020;Ruangprapun 2022). A few studies measured the sentiment of company tweets(Hamraoui & Boubaker 2022;Nyakurukwa & Seetharam 2022), whereas others went even further and categorised the tweets using automated methods such as supervised or unsupervised machine learning and advanced textual analysis techniques(Albarrak et al 2020;Araujo & Kollat 2018;Majumdar & Bose 2019;Nekrasov et al 2021).…”

mentioning

confidence: 99%

Stakeholders’ engagement in 280 characters: Evidence from JSE-listed companies

Nel,

du Toit

2023

South African Journal of Economic and management Sciences

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Background: Twitter is revolutionising the way in which companies engage with stakeholders. While prior research examining companies' use of Twitter focused on the capital market consequences thereof, empirical evidence on how companies use Twitter, still remains scant. Aim:We aim to improve our understanding of the use of Twitter, specifically (1) whether companies use Twitter as a two-way stakeholders' engagement platform, and (2) whether companies change tweeting behaviour around result release dates. Setting:The sample consists of 70 companies for which 73 018 tweets were downloaded from Twitonomy during the period 2017-2020. Methods:The data were analysed using the mixed-model analysis of variances (ANOVAs) and generalised estimations equations. The agency, legitimacy, signalling and capital need theories were used to set expectations and interpret results. Results:Although there was no significant increase in the overall number of tweets, most companies significantly improved their level of engagement from 2017 to 2020. This is especially true of larger companies, the more profitable companies and companies with increased future growth potential. Furthermore, companies tweet significantly more around result release dates. This is most pronounced in primary industries and companies reliant on capital markets.Contribution: This is the first study that aimed to explore the two-way use of Twitter as a stakeholders' engagement platform, in the context of a developing country, including possible reasons why companies tweeting behaviour changes around result release dates. It is proposed that regulatory bodies should take note of possible risks, and that companies should be aware of what their peers are doing.

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Impact of Firm-Initiated Tweets on Stock Return and Trading Volume

Cited by 11 publications

References 31 publications

Reduced trolling on Russian holidays and daily US Presidential election odds

Reduced trolling on Russian holidays and daily US Presidential election odds

The Impact Of Fundamentals And Technical Analysis On Stock Returns In Banking Companies Listed For Indonesia Stock Exchange 2013-2022

Stakeholders’ engagement in 280 characters: Evidence from JSE-listed companies

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