ARTIFICIAL INTELLIGENCE AND FINANCIAL MODELLING

Predictions suggest that artificial intelligence will lead to the reduction of 300 million jobs in Europe and the US. Accountants are professionals who are most exposed to the potential impact of artificial intelligence on their work. Does this also mean the end for experts in financial modelling? Keeping this in mind, how can those of us involved in financial modelling ensure that we remain relevant in this constantly changing world? The answer lies in those who learn and adapt to changes will continue to thrive. Artificial intelligence brings advantages, not just threats; let's leverage them. How can artificial intelligence help in finance and financial modelling? By helping us understand the vast amounts of data we encounter every day and uncovering connections between them. This information will help us improve our business processes, facilitate decision-making, and enhance forecasting. Companies should leverage artificial intelligence to improve competitiveness, mitigate differences caused by human errors, and automate repetitive tasks as much as possible. Through our work, we will attempt to showcase use cases of artificial intelligence in financial operations and financial markets. We will try to demonstrate the benefits of artificial intelligence for financial modelling and forecasting as an efficient way to gain advantages in this field by processing complex tasks that ordinary people cannot perform and automating them. The automation process is essentially the key advantage of AI for financial modelling.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.24867/future-bme-2024-058
Primary Topic
Stock Market Forecasting Methods
Type
article
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article

ARTIFICIAL INTELLIGENCE AND FINANCIAL MODELLING

Mladen Jović, Ranko Bojanić, Ivana Popović
Stock Market Forecasting Methods
article

ARTIFICIAL INTELLIGENCE AND FINANCIAL MODELLING

Mladen Jović, Ranko Bojanić, Ivana Popović
article en

Abstract

Predictions suggest that artificial intelligence will lead to the reduction of 300 million jobs in Europe and the US. Accountants are professionals who are most exposed to the potential impact of artificial intelligence on their work. Does this also mean the end for experts in financial modelling? Keeping this in mind, how can those of us involved in financial modelling ensure that we remain relevant in this constantly changing world? The answer lies in those who learn and adapt to changes will continue to thrive. Artificial intelligence brings advantages, not just threats; let's leverage them. How can artificial intelligence help in finance and financial modelling? By helping us understand the vast amounts of data we encounter every day and uncovering connections between them. This information will help us improve our business processes, facilitate decision-making, and enhance forecasting. Companies should leverage artificial intelligence to improve competitiveness, mitigate differences caused by human errors, and automate repetitive tasks as much as possible. Through our work, we will attempt to showcase use cases of artificial intelligence in financial operations and financial markets. We will try to demonstrate the benefits of artificial intelligence for financial modelling and forecasting as an efficient way to gain advantages in this field by processing complex tasks that ordinary people cannot perform and automating them. The automation process is essentially the key advantage of AI for financial modelling.

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Stock Market Forecasting Methods
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ARTIFICIAL INTELLIGENCE AND FINANCIAL MODELLING — Mladen Jović, Ranko Bojanić, et al. · (2025) | TGRS Research Map | TGRS