ChatGPT: how to use AI as a virtual financial adviser (2024)

From chatbots and virtual assistants to fraud detection and risk management, artificial intelligence (AI) is now being used in many areas of finance. But what could an AI system like ChatGPT do for your bank balance?

AI tools might seem overly complex or expensive to non-experts, but advances in natural language processing and machine learning could turn ChatGPT and similar products into virtual personal finance assistants. This would mean having an expert on hand to help you make sense of the latest financial news and data.

Staying on top of business news and financial market trends is important for making informed investment decisions and gaining an edge in the markets. Companies already use these tools to perform what finance professionals call “sentiment analysis”.

This involves analysing financial news and statements to generate insights and predictions for investors about shares and other investments. For example, Morgan Stanley’s AI models analyse a wide range of data – including news articles, social media posts and financial statements – to identify patterns and predict stock prices.

Researchers have started to explore the potential of AI tools like ChatGPT, but given how new this technology is, much of the academic research remains in the early stages. A recent preprint study, the results of which have not been reviewed by other academics, tested ChatGPT’s predictions about stock market performance based on sentiment analysis of news headlines.

ChatGPT determines if a headline is good, bad or irrelevant for a firm’s stock prices and computes a score. This research found a high correlation between ChatGPT’s responses and stock market movements, showing some ability to predict the direction of returns.

AI tools may also be able to help investors decipher monetary policy announcements, providing insights into their potential effects on financial markets. Another recent preprint evaluated ChatGPT’s ability to understand what announcements from the US central bank, the Federal Reserve, might mean for financial markets.

It compared this to professional investors’ efforts to do the same. The study found that, particularly when ChatGPT models are fine tuned, they are more accurate than other machine learning models used by professionals to analyse and understand “Fedspeak”.

Monetary policy decisions, such as interest rates or asset purchase programmes, can have a big effect on financial markets. So AI’s ability to assess what central bank announcements on policy changes will mean for financial markets could provide valuable insights into the effects of these actions. This could help you make more informed investment decisions.

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Tailored financial guidance

The ability to identify trends in specific market sectors could also be helpful for people seeking more tailored financial guidance.

For example, an AI tool could be used to analyse financial data, such as balance sheets and income statements, from technology companies. It could identify patterns that might indicate opportunities or problems. An investor could then adjust their portfolio, potentially increasing returns or even just helping to reduce exposure to certain risks.

In addition to analysing market trends, AI could also be used to build an investment portfolio tailored to an individual’s specific investment goals and risk tolerance. Using information on your preferences such as your current financial situation and risk attitude, for example, the AI could generate a customised portfolio that accounts for the level of return you’d like to make, but also the kinds of risks you’d like to avoid.

Your assistant, but not your only guide

AI tools show tremendous potential as personal financial assistants, but also present some challenges.

There are several factors that AI tools may not be able to account for, such as unexpected events or changes in market conditions, as well as human behaviour. A tool like ChatGPT cannot fully comprehend the intricacies of human language and conversation, which can lead to responses that lack depth and insight.

There is also a need for greater transparency about how these tools make decisions. For an investor to leave their portfolio in the hands of one of these “robots”, they would need to be able to understand how, for example, it reaches its conclusions and what data it uses. Some financial planning companies already offer robo-advisors – services that use algorithms to design individual investment plans – that can also do this, but, of course, you pay a fee to the financial advisers for this.

The potential for bias in the recommendations of these tools must also be considered. ChatGPT’s training data may have underlying biases that could affect its predictions. The accuracy and reliability of ChatGPT’s predictions need careful evaluation given recent reports that it has repeated disinformation.

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No single model or algorithm can predict financial market movements with complete accuracy. So AI tools like ChatGPT should only be used to supplement your own judgment, not as a replacement.

While AI could be an excellent aid for investing, it is important to do your homework thoroughly about potential investments, understand and accept the right level of risk for you, and diversify your portfolio when deciding where to invest.

ChatGPT: how to use AI as a virtual financial adviser (2024)

FAQs

Can I use ChatGPT for financial advice? ›

If you feed ChatGPT information about your income, expenses, goals and timeline, it can provide guidance on how to reduce spending, build savings, pay down debt or create a retirement plan.

How to use AI for financial advisors? ›

Client Outreach: A financial advisor can use AI tools to streamline copy for client outreach, personalizing it for each person. The more data you feed into the tools, the more it can help you personalize your own tone and information directly to your client.

How to use AI to help with finances? ›

Automation and Efficiency: With the hep of AI, many time-consuming tasks can be automated. Tasks like budgeting, tracking expenses, and monitoring investment performance can be automated with the help of AI which frees up time for individuals giving them elbow-room to focus on other aspects of their financial lives.

Will financial advisors be replaced by AI? ›

AI can help in many ways–but nothing will ever replace the personal relationship between an advisor and their client. Bob Rubin is the founder and president of Rubin Wealth Advisors.

Can ChatGPT act as a financial advisor? ›

It will sift through data, analyze trends, and suggest investments that could be considered "hidden gems". Act as an experienced financial advisor.

How to make ChatGPT give investment advice? ›

To use ChatGPT effectively, provide clear information about your current financial situation and objectives. Include details such as investment timeframe, asset allocation, risk tolerance, and any other relevant information in our prompt templates.

What are the best AI tools for financial advisors? ›

AI can help financial advisors with a variety of day-to-day tasks, including client service, data analysis, portfolio optimization, risk assessment, and trend prediction. SigFig, Datamaran, and PulseFolio are examples of artificial intelligence tools that advisors can use to assist with financial services.

How do robo-advisors use AI? ›

In terms of data analysis, AI can sift through vast amounts of market data and historical trends to identify ideal assets and adjust portfolios in real time as markets fluctuate. AI is also used to improve risk management by analysing complex data and making sophisticated decisions.

What is the name of BlackRock's AI? ›

Aladdin is BlackRock's risk analysis software.

How to use ChatGPT for budgeting? ›

Here, we'll go over how to use ChatGPT to create your household budget.
  1. State your income. If it's your first time on the ChatGPT website, you'll be prompted to create an account. ...
  2. List out your expenses. ...
  3. Input your money-saving goals. ...
  4. Move your budget into a spreadsheet. ...
  5. More tips for making a budget with ChatGPT.
Jul 31, 2023

How to use AI in investment banking? ›

Risk Management: Use of AI in Investment Banking. Managing risk is the most significant use of AI in investment banking. For managing risk, AI can help reduce potential risks, identify and detect patterns, and provide timely insights to make decisions as soon as possible by scanning large volumes of data in less time.

What are the disadvantages of AI in banking? ›

4 Disadvantages of AI in the Financial Sector
  • Expensive. Artificial intelligence requires a lot of money for production and maintenance because it is a highly complex machine. ...
  • Bad Calls. ...
  • Unemployment. ...
  • Clients remain suspicious of AI.

Can ChatGPT replace financial experts? ›

These days, people don't just need help mixing ETFs into a portfolio—they also have to make hard choices about savings, insurance and debt management, among other things. But while AI can do some things as well as a financial adviser, and sometimes can even perform better, it can't replace human advisers.

Will ChatGPT replace financial analysts? ›

While AI has the potential to automate certain tasks and provide fast and accurate data analysis, it cannot compete with financial analysts.

Why financial advisors are quitting the industry? ›

Lack Of Fulfillment

They are required to spend their days selling products and services they don't believe in. Far too many advisors find themselves working 9-5 (or worse) at a job that doesn't fulfill them or make them happy.

Can ChatGPT help with finances? ›

ChatGPT is useful for analysts who are looking at market data, financial accounts, and other information that is used to inform important investment choices. They may make accurate financial projections by first training the AI on previous data, and then harnessing it to recognise patterns and make sound predictions.

Can ChatGPT answer financial questions? ›

You can utilize ChatGPT to build a question-answering system for financial data. You might ask it questions like "What was the total revenue last quarter?" or "What is the trend in operating expenses?" and it can generate responses based on the data it has been trained on, providing quick and precise insights.

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