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AI Helped This Swedish Hedge Fund Achieve 24% Return On Investment
AI Helped This Swedish Hedge Fund Achieve 24% Return On Investment

AI Helped This Swedish Hedge Fund Achieve 24% Return On Investment

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Key takeaways

  • Volt Capital Management AB achieved a 24% return on investment, surpassing expectations by 14% through the use of artificial intelligence.
  • The firm combined traditional economic models with AI to navigate market volatility during the COVID-19 pandemic effectively.
  • Over 200 economic models were analysed, allowing AI to provide precise predictions and eliminate decision-making paralysis.
  • By leveraging machine learning, the company moved away from traditional trading strategies, resulting in unexpectedly high returns.
  • AI delivered accurate results during uncertain times, showcasing its potential in enhancing investment strategies.
5 min

Volt Capital Management AB, a Swedish hedge fund, outperformed its expectations by 14% return on the investment with the help of artificial intelligence. The company has around $30 million under management, which often invests in the short term. The company managed to achieve a 24% return on their investment this year.

The company claims that it could manage more than expected return on investment due to the use of artificial intelligence. During the COVID-19 pandemic, it is difficult to make predictions due to higher volatility in the market. But, with the combination of traditional economic models and artificial intelligence, the organisation managed to precisely predict the trends like the decrease in demand, oil price crash and currency appreciation of various countries.

This provided an edge to the company as it devised its strategies based on the outcomes of machine learning models. The company had over 200 economic models for making predictions, which can cause analysis of paralysis for a human as different models can point to different outcomes. However, with the help of artificial intelligence, the company was able to make a definite decision as the model automatically applied the right weightage for delivering precise results.

Technical trading has been used for years for trading/investing, but often people get confused as one model’s result conflicts with the other. Thus, it is mostly left for the investors to decide based on the variables he/she envision to have the greatest impact. However, this might result in unexpected results and in turn, a negative return on investment. Consequently, the company leveraged artificial intelligence and moved away from the traditional approach, which to the firm’s, surprise gave a higher return. What makes this special is that the machine learning model delivered accurate results during the uncertain times caused by COVID-19.

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