Posts tagged with ‘algorithms’
How can the public learn the role of algorithms in their daily lives, evaluating the law and ethicality of systems like the Facebook NewsFeed, search engines, or airline booking systems?
How can research on algorithms proceed without access to the algorithm?
What is the algorithm doing for a particular person?
How should we usefully visualize it?
How do people make sense of the algorithm?
What do users really need to know about algorithms?
I have further instructed the staff to prepare recommendations for the Commission to improve firms’ risk management of trading algorithms and to enhance regulatory oversight over their use. Given the overwhelming dominance of trading algorithms, it is time that our regulatory regime is updated to take better account of the risks when they are poorly designed or operated.
I have directed the staff to develop a recommendation to the Commission for an anti-disruptive trading rule. …to apply to active proprietary traders in short time periods when liquidity is most vulnerable and the risk of price disruption caused by aggressive short-term trading strategies is highest.
Another important concern raised by algorithmic trading is fairness for investors. Do low-latency tools, even though they are available to investors through brokers, tend to advantage certain types of proprietary trading strategies?
I am also asking the exchanges and FINRA to consider including a time stamp in the consolidated data feeds that indicates when a trading venue, for example, processed the display of an order or execution of a trade.
We must consider, for example, whether the increasingly expensive search for speed has passed the point of diminishing returns. I am personally wary of prescriptive regulation that attempts to identify an optimal trading speed, but I am receptive to more flexible, competitive solutions that could be adopted by trading venues. These could include frequent batch auctions or other mechanisms designed to minimize speed advantages.
A Hong Kong VC fund has just appointed an algorithm to its board.
Deep Knowledge Ventures, a firm that focuses on age-related disease drugs and regenerative medicine projects, says the program, called VITAL, can make investment recommendations about life sciences firms by poring over large amounts of data.
Just like other members of the board, the algorithm gets to vote on whether the firm makes an investment in a specific company or not. The program will be the sixth member of DKV’s board.