BİLİM KURGUDAN GERÇEK HAYATA: YATIRIM DANIŞMANI OLARAK BING AI

Abstract

Günümüzde üretken yapay zekâ modelleri finansın da dâhil olduğu oldukça geniş bir kullanım alanına sahiptir. Finans alanında yapay zekâ modelleri verileri sentezleyerek analistlere; finansal rapor oluşturmada, risk tespit etmede, piyasa eğilimlerini tahmin etmede ve portföyleri optimize etmede yöneticilere ve yatırımcılara yardımcı olmaktadır. Ancak bütün bu finansal işlevleri ne derece etkin yerine getirdiğini belirlemek oldukça önemlidir. Bu nedenle çalışmada yapay zekânın finansal yeteneklerinin keşfedilmesi, yatırım analizi örnek olay incelemesi yoluyla performansının değerlendirilmesi amaçlanmıştır. Çalışma kapsamında, yapay zekânın finansal yeteneklerinin keşfedilmesi amacıyla, metin tabanlı bir yapay zekâ motoru olan Bing AI kullanılmıştır. Bing AI’dan BİST100 endeksindeki işletmelerin 2019-2022 dönemindeki finansal tablolarını dikkate alarak, modern ve geleneksel portföy teorilerine göre portföyler oluşturması istenmiştir. Bing AI'nın önerdiği portföyün Ocak 2023-Kasım 2023 dönemindeki risk ve getirisi hesaplanarak, yapay zekânın finansal alandaki başarısı değerlendirilmiştir. Elde edilen bulgular, Bing AI’nın finansal alanda temel bilgiye sahip kişilere kısmen de olsa destek olabilecek durumda olduğunu; ancak finansın uygulama alanında geliştirilmesine ihtiyaç duyduğunu göstermektedir.

Keywords

• BİST
• Portföy Yönetimi
• Yapay Zekâ
• GPT
• Bing AI

SCIENCE FICTION TO REAL LIFE: BING AI AS AN INVESTMENT ADVISOR

Abstract

Nowadays, generative artificial intelligence models have extensive applications, including finance. Artificial intelligence models in finance synthesise data to assist analysts in generating financial reports, detecting risks, predicting market trends, and optimising portfolios for managers and investors. However, it is crucial to determine the effectiveness of these financial functions. Therefore, this study aims to explore the financial capabilities of artificial intelligence in the finance domain and evaluate its performance through a case study on investment analysis. Within the scope of the study, a text-based artificial intelligence engine, Bing AI, was utilised to explore the financial capabilities of artificial intelligence. Bing AI was tasked with creating portfolios for companies listed on the BIST100 index based on their financial statements from 2019-2022, according to modern and traditional portfolio theories. The success of artificial intelligence in the financial field was evaluated by calculating the risk and return of the portfolio recommended by Bing AI for the period January 2023–November 2023. The findings indicate that Bing AI has the potential to partially support individuals with basic financial knowledge, but there is a need for further development in the application of finance.

Keywords

• BIST
• Portfolio Management
• Artificial Intelligence
• GPT
• Bing AI

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