Search

We developed a series of financial social media sentiment analysis models starting with PyFin-Sentiment, a recent state-of-the-art domain-specific large language model for the financial domain. We focused on label accuracy and improvements in the quality and q…

The rapid expansion of the mobile gaming industry has underscored the need to understand user sentiment, with social media platforms like X (Twitter) providing key insights. This study applied sentiment analysis to English and Turkish tweets, utilizing the TEM…

This paper explores how intra-day volatility behaves across different weekdays during periods of major financial stress, focusing specifically on the S&P 500 and NASDAQ-100 indices. The analysis spans two significant market disruptions—the 2008 Global Financia…

Machine learning and artificial intelligence have become an integral part of people's culture, influencing the lives of most people today. Machine learning is a subset of data science that uses statistical models to create insights and predictions. Machines sh…

Sosyal medya kullanımı günümüzde insanlar için önemli bir günlük aktivite olmuştur. İnsan yaşamının odak noktalarından birisi haline gelen sosyal medya hem bir kişisel ihtiyaç olarak kullanılmakta hem de insanların eğlence gereksinimleri karşılamaktadır. Bu ça…

Word embedings are intense vector representations of words. They capture the semantic order between words. In our study, we propose a new method for classifying text by author, using word embeds and author vector space. Using each author's books, we trained th…

Climate change and environmental concerns led the investors to search for environmentally sustainable and friendly investments. Green bonds market has emerged as a result of this need. This study aims to analyze this market focusing on market efficiency. Marke…

Bu çalışmanın temel amacı finansal tutum ile yaşam tatmini arasında bir ilişki olup olmadığının ampirik olarak tespit edilmesidir. Bununla birlikte, finansal tutum ve yaşam tatmini ölçeklerinin, yaş, cinsiyet ve eğitim durumu gibi demografik faktörler üzerinde…

The emergence of Open Finance is reshaping the global financial landscape by enabling greater data accessibility, interoperability, and innovation. However, this expanded connectivity introduces new layers of regulatory complexity, raising urgent concerns rega…

Bu çalışmanın amacı, dünyada ilk 10’a giren ve hisse değerlerine ulaşılabilen düzenli hat taşımacılığı yapan 8 şirketin hisse değerlerinde etkin piyasa hipotezinin geçerli olup olmadığının tespit edilmesidir. Bu doğrultuda, zayıf formda etkin piyasa hipotezi…

Kanser, insan ölümlerine sebep olan hastalıklar arasında ikinci sırada gelmektedir. Günümüzde insanların kansere yakalanma oranları giderek artmaktadır. Kanser; kötü beslenme, sigara ve alkol kullanımı, uzun süre güneş ışığına maruz kalma gibi birçok nedenle o…

Market democratization through conversational AI represents a critical frontier in financial technology, yet cryptocurrency analysis remains dominated by institutional players with sophisticated toolchains. We introduce AICrypto-Assistant, the first open-sourc…

This study develops the Political and Economic Vulnerability Score (PAVS), a composite index for assessing cross-country differences in macro-financial and institutional vulnerability. Drawing on publicly available World Bank data, the index combines 13 indica…

Deep learning can provide successful results in detecting manipulations made with bot accounts on the X (Twitter) platform and preventing disinformation. As a method for applying deep learning algorithms, numerical values in the data set can be visualized and …

Deep learning is a machine learning sub-field that uses deep neural networks. Instead of customized algorithms for each study in this field, it is aimed to cover the wider data set of solutions based on learning the data. Deep learning is a promising approach …

In the United States, banking desert status is classified annually from that same year’s branch data, producing a contemporaneous snapshot of current access rather than a forecast of which communities are likely to change status next. This study tests whether …

İşletmelerin ekonomik , çevresel ve sosyal faaliyetlerinin sonuçlarının raporlanmasını içeren sürdürülebilirlik raporlarının Türkiye’deki işletmelerde kullanımı artmıştır. Teknolojik gelişmeler, artan küresel rekabetle baş edebilmek için işletmeler bu raporl…

In recent years, the financial sector has been considerably developed, especially in electronic banking. As individual users in the financial sector use e-banking and e-finance systems, the concept of loyalty in the banking sector has shifted from traditional …

The marketing strategy is concerned with the creation of the target market selection and necessary marketing mix in order for the businesses to achieve their marketing objectives. Marketing creativity includes creative applications in solving marketing problem…

Open-finance interfaces make market data and trading services programmable, but an API response is not an executable signal. Economic information depends on data receipt, inference completion, and feasible order arrival. We propose an execution certificate: a …