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Use AI to revolutionize banks' risk management and decision-making

Join our challenge to revolutionize banks' risk management! We are seeking innovative solutions that integrate Large Language Models with traditional quantitative analytics to predict financial risks with greater accuracy. Unleash your creativity and redefine banking risk assessment! 

Who can participate?
Start-ups, (technology) companies, researchers, labs, newly founded tech teams and all other AI innovators

#AIRiskPrediction #FinancialAnalytics #AIinBanking 

  • ✅ Completed
  • 🏁 Winner

    51nodes & AssetFloow

  • 🏆 Prize

    Funded co-creation, strategic partnerships & long-term integration

  • 🌎 Scope

    Global

  • ❓Questions

    Feel free to join our Q&A Calls

  • 👥 Looking for a team?

Below you will find some examples of information, i.e. publications from BayernLBs research department. They are an initial overview of publications that may help you gain an understanding of the output the tool should support to generate. Of course, this is only non-binding information and not investment recommendations for private investors.  

In the following you will find some sources that can be used as inspiration for such a tool. Note: This list is NOT exhaustive but serves as a starting point for your consideration!  

The items on the list below should give some inspiration, guideline which quantitative data could be used for this challenge. It is neither expected that all items below should be included, nor is the list complete. 

Equity/ Stock Market 

  • Euro Stoxx 50 
  • DAX 
  • Dow Jones 
  • S&P 500 
  • Nikkei 
  • FTSE 

FX-Rates 

USD vs. EUR, CHF, JPY, GBP. 

Interest Rates 

Credit Indices  

  • iTraxx FIs 5Y 
  • iTraxx Corporates (US, EU) 5Y 

Commodity Prices 

  • Oil WTI 
  • Gold 
  • Bitcoin 
  • Energy Prices 

Macroeconomic Data 

GDP, Inflation, Unemployment Rate, etc. for various countries. 

Real Estate Market  

For qualitative data written news article from high quality journals, newspapers should be used, such as: 

  • TIME Magazine 
  • Newsweek Magazine 
  • Politico Magazine 
  • New York Times 
  • Wall Street Journal 
  • Washington Post 
  • BBC 
  • The Economist 
  • Financial Times 
  • FORBES magazine 
  • Bloomberg BusinessWeek 
  • The Guardian 
  • In Germany: Süddeutsche Zeitung, Handelsblatt, FAZ, Zeit 

It is not encouraged to use social media news data like X/Twitter, Facebook, Instagram.