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How AI is Improving Liquidity in Corporate Credit Markets
How many traders, desk analysts and quants does it take to price a corporate bond? If you were to answer that question even a few months ago, the number could be as high as a half-dozen. Parties on both sides of the trade would be tasked with checking whether the bond traded recently, analyzing current credit and business conditions, digging into individual bond attributes and taking the pulse of the marketplace to see if the other side of the trade agrees with the price. For a complex trade involving a large portfolio of corporate credits, the process could have taken days. Today, a single trader can do all of that in seconds thanks to advances in machine learning technology which have made it possible to calculate reference pricing in seconds based on dynamic bond market data.