Paper Details

Name: Tanu Solanki & Deepa Joshi
Country: India

Year: 2025
Volume: Volume No: 12, Issue No: 2, Year: 2025, (Specials issue-1)
Page Number: 195-201
DOI: https://doi.org/10.5281/zenodo.17920251

ABSTRACT
The entire workings convert into advanced level after Artificial Intelligence (AI) technology.
It is essential to understand the AI technology and its proper application. This research is
conducted to analyse the use of AI in finance. In the Indian Financial System, Financial
Market is a major component which deals with risk factors of Financial Products. The
increasing complexity of Financial Product creates pressure to accurate analysis of the risk
and return through AI forecasting tools. Risk and Return work parallelly if risk increases
ultimately return increase. AI tools are a data driven decision making tool. It may be used for
analysis of datasets through which risk & return analysis may be done.
This study is about AI tools and their application in forecasting the risk and return of
Financial Product. We identify the application of AI tools including machine learning, Deep
learning ,AI algorithms and other tools like Quantitate, Zest AI, Kensho etc to predict risk
involved in Financial Product. Our research objective is to identified the advantage and
disadvantage of AI tools and their application in forecasting. Through this research investors
and financial companies better understand the financial product like Fixed Deposit, share,
Debenture etc. and their pros and cons.
The study is based on the secondary data and review existing literature of AI used in finance
risk management .The expected result of this research is to identify effectiveness of AI tools
and their application in managing the risk and help investors for investment decision making.
Keywords: AI tools, Forecasting Risk and Return, Machine Learning, Deep learning,
financial Product