Twitter Kullanıcılarının Temettü Yatırımlarında Tercih Ettikleri Şirketlerin Metin Madenciliği ile Tespit Edilmesi

Year 2023, Issue: 75, 24 - 40, 27.01.2023

Murat Fatih Tuna , Mesut Polatgil

https://doi.org/10.51290/dpusbe.1094979

An Erratum to this article was published on April 27, 2023. https://dergipark.org.tr/en/pub/dpusbe/issue/76930/1288154

Abstract

Artan teknoloji kullanımıyla birlikte insanlar hemen her konuda görüşlerini rahatlıkla paylaşabilecekleri araç ve ortamlara sahip olmuştur. Bu fikirlerin önemli bir kısmını da yatırım ile ilgili konular oluşturmaktadır. Twitter bu konuda öne çıkmakta ve yapılan birçok çalışma için önemli bir veri kaynağı oluşturmaktadır. Birçok çalışmada Twitter üzerinden alınan fikirler analiz edilmekte ve birçok ürüne ilişkin fiyat tahmini yapılmaktadır. Öte yandan son yıllarda temettü emekliliği ve temettü yatırımcılığı özellikle küçük yatırımcı sınıfındaki bireyler için çok cezbedici bir hale gelmiş, buna bağlı olarak bireyler özellikle çocukları ve ailesi için bu yatırım kanalına yönelim göstermiştir. Bireyler ayrıca yaptıkları bu yatırımlarla ilgili Twitter platformunda paylaşımlar yapmakta ve birbirleriyle fikir alışverişinde bulunmaktadır. Bu noktada bahsedilen yatırım türünü tercih edecek kişiler hangi firmalara yatırım yapacakları konusunda bazen emin olamamaktadır. Bu çalışmanın amacı, Twitter kullanıcılarının en çok beğendiği ve yorumladığı temettü firmalarının tespit edilmesi ve alternatif yatırım portföylerinin oluşturulmasıdır. Dolayısıyla çalışmada en çok bahsedilen, en çok beğenilen, en çok yorumlanan ve en çok yönlendirilen (retweet edilen) tweet özelliklerine odaklanılmıştır. Dahası verilerden tespit edilen firmalar ile toplam beş portföy oluşturulmuştur. Bu portföylerin getiri durumları firmaların son bir yıllık getirileri baz alınarak modern portföy teorisi bağlamında verilmiştir. Portföylerden en iyi getiriyi retweet edilme durumuna göre oluşturulan portföyün oluşturduğu tespit edilmiştir. Çalışma kapsamında ortaya konan portföylerin ve içerdiği yatırım alternatiflerinin temettü yatırımcılığıyla ilgilenen tüketicilere fayda sağlayacağı düşünülmektedir.

Keywords

Metin Madenciliği, Temettü, Temettü Yatırımcılığı, Portföy Yönetimi, Hisse Senedi

Determining the Companies Preferred by Twitter Users for Dividend Investments via Text Mining

An Erratum to this article was published on April 27, 2023. https://dergipark.org.tr/en/pub/dpusbe/issue/76930/1288154

Abstract

With the increasing use of technology, people have had tools and environments where they can easily share their opinions on almost any subject. An important part of these ideas is related to investment issues. Twitter stands out in this regard and constitutes an important data source for many studies. In many studies, the ideas received on Twitter are analysed and price predictions are made for many products. On the other hand, dividend retirement and dividend investing have become extremely attractive especially for individuals in the small investor class in recent years, and accordingly, individuals have tended to this investment channel especially for their children and families. Individuals also share on Twitter platform about these investments they have made and exchange ideas with each other. At this point, people who will prefer the investment type mentioned are sometimes unsure about which companies to invest in. The aim of this study is to determine the dividend companies that Twitter users like and comment the most and to create alternative investment portfolios. Thus, it has been focused on the most mentioned, most liked, most commented, and most directed (retweeted) tweet features in the study. Moreover, a total of five portfolios have been created with the companies identified from the data. The return conditions of these portfolios have been given in the context of Modern Portfolio Theory based on the last year returns of the firms. It has been determined that the portfolio created according to the retweet status creates the best return from the portfolios. It is thought that the portfolios presented within the scope of the study and the investment alternatives they contain will benefit consumers who are interested in dividend investing.

Keywords

Text Mining, Dividend, Dividend Investment, Portfolio Management, Stock

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