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Alejandro Lopez - 2 Lopez - 2 Lira - 2 ChatGPT - 2 Andrew Y . Chen - 1 Tom Zimmermann - 1 Michael Robbins - 1 Robbins - 1
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Search resuls for: "Alejandro Lopez"


4 mentions found


☆ Academics used AI and machine learning to test 29,000 financial ratios. Here's the metric they found was the best predictor of stock-market returns.
  + stars: | 2024-04-06 | by ( Laila Maidan | ) www.businessinsider.com   time to read: +9 min
Determining the best predictors of stock-market returns is like seeking the Holy Grail for investors. They also allowed the algorithm to come up with its own ratios in an attempt to determine whether there are better indicators of stock-market performance. Examples of variables included sales, market value, and cost of goods. The data points were then scaled using ratios to correlate a company's sales revenue to other variables, such as its size. Robbins noted that traditionally, academics begin with a theory for why certain company fundamentals could be good predictors of stock market returns before testing them.
Persons: Alejandro Lopez, Lopez, Andrew Y . Chen, Tom Zimmermann, Michael Robbins, Lira, ChatGPT, Robbins, It's Organizations: Lira, University of Florida, University of Cologne, Institutional, Investors, New York Stock Exchange, American Stock Exchange, Nasdaq, Lopez
☆ ChatGPT helped a simulated study return up to 512% trading stocks based on news. Here's the prompt the researchers used — plus the positive and negative takeaways from their findings.
  + stars: | 2023-07-22 | by ( Laila Maidan | ) www.businessinsider.com   time to read: +12 min
ChatGPT excelled at predicting a stock's price direction based on news sentiment. They found that while ChatGPT excelled at predicting a stock's direction based on news sentiment, it is not without limitations. They prompted ChatGPT to assign the following scores to headlines: "1" for good news, "0" for unknown and "-1" for bad news. Is this headline good or bad for the stock price of (company name) in the term (short or long-term)?" This meant negative news had a greater and longer impact in the real world than in the simulation,, likely giving ChatGPT an advantage, Lopez-Lira noted.
Persons: ChatGPT, Bard, Alejandro Lopez, Yuehua Tang, Merrill Lynch, Lopez, Lira, Tang, Russell, BERT, Philip Morris, Gene Tipps, David Capablanca, Alpesh Patel, Praefinium, Patel, Capablanca, GPT's, it's, Cory Mitchell, would've, Mitchell, you'll, they're Organizations: University of Florida, of Florida's Department, Finance, Lira, Center for Research, Linux, NYSE, Nasdaq, GPT, Design, Cadence Design, Philip Morris Beats, Global, Global Operations, Dow Locations: GPT
☆ ChatGPT is better at predicting how stocks will react to news headlines than traditional models, new study shows
  + stars: | 2023-04-12 | by ( Jacob Zinkula | ) www.businessinsider.com   time to read: +4 min
Florida researchers asked ChatGPT to analyze the sentiment of news headlines to forecast resulting stock moves. They said their study "demonstrates the value of ChatGPT in predicting stock market returns." They used this sentiment analysis to compute a numerical "ChatGPT score" and analyzed whether these scores were predictive of the company's stock market performance the next day. The researchers found a statistically significant positive correlation between these scores and the next-day stock performance for the companies they analyzed. "In short, our study demonstrates the value of ChatGPT in predicting stock market returns," the researchers wrote.
☆ ChatGPT may be able to predict stock movements, finance professor shows
  + stars: | 2023-04-12 | by ( Kif Leswing | ) www.cnbc.com   time to read: +2 min
Alejandro Lopez-Lira, a finance professor at the University of Florida, says that large language models may be useful when forecasting stock prices. If ChatGPT can display the emergent ability to understand headlines from financial news and how they might impact stock prices, it could could put high-paying jobs in the financial industry at risk. About 35% of financial jobs are at risk of being automated by AI, Goldman Sachs estimated in a March 26 note. But the specifics of the experiment also show how far so-called "large language models" are from being able to do many finance tasks. "On the regulation side, if we have computers just reading the headlines, headlines will matter more, and we can see if everyone should have access to machines such as GPT," said Lopez-Lira.
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