In the coming decade, there will be a fewer number of employees on the trading floors at the banks to handle a growing market volume. In 2008, the global bond issuance was $10,7 billion growing to $21,1 billion in 2017. The total volume actually reached $100 billion in 2017, which is fairly impressive. It makes good sense to develop more sophisticated and robust trading programs that can help in handling a larger trading volume. Though, it is the development of new sophisticated trading programs or machines, combined with artificial intelligence, that represents the exciting initiatives in the industry, also for individual investors.
The financial markets are already dominated by machine trading, where AI is also a growing part of the programming of the trading software. In my view, it’s still predominantly to enhance the speed of the trading executions and to analyze for investment opportunities in a broader part of the financial markets. The hedge funds and asset managers with the fastest systems have the best chances to profit from all kind of arbitrages, simply by utilizing inaccuracies in the pricing of assets in different markets. I expect that this kind of trading will remain at some large market participants, though machine trading, in an increasing manner, will influence the life of private investors in another way.
Constantly, we all try to predict if the markets are facing an immediate big move, either up or down. Or at least any investor would like to know this before all other investors, and here, the machines play an increasing role. For a human being to able to detect these potential big moves requires decades of experience and an ongoing attention to the financial markets. It’s natural to try to develop software that can take over this role, which a growing number of vendors are offering.
It has already gone so far, that machines try to protect so-called “low risk” pension saving schemes in the US to manage this additional risk machine/trading programs and monitor the stock market very precisely, filtering factors that could indicate a burgeoning uncertainty. The risk monitoring is so finetuned that the related hedging even takes place during the day, which increases the volatility in the American stock markets.
The increasing volatility might be annoying for an individual investor, though it should not abstain anybody from using securities in their savings. But the swings will be bigger, and I expect the number of “flash-crashes” to be more frequent. A “flash-crash” is a crash in a financial market, where the market recovers right away, and nobody intended to sell-down the market.
Though what I fear is that one day, it converts a “flash-crash” into a real crash, and investors wake up one morning to a stock market that is 15 percent lower. It’s still a very low probability, but the risk is growing, and I can’t see anybody prepared to handle this situation. Again, it should not scare investors away from the financial markets, but the risk is there.
The good news is, in my opinion, larger than the concerns. The current system developments allow professional investors to include more data and an extended number of investment opportunities in their decision-making. The data increasingly includes a lot of trade flow data from the banks’ own trading floors, which all-in-all makes the total information and data package more interesting. So far, this enhanced insight is kept in-house or primarily shared with large institutional clients.
I expect that it won’t last long before private investors can gain access to the same information at some institutions. It is my opinion that AI will pretty soon help investors in handling even more data to help better understand the indirect links between economic developments and individual companies’ earnings, as well as, for example, to spot new investment opportunities that one may not even consider, which is very exciting.