By Irene Aldridge Financial technology is moving in leaps and bounds. An enormous amount of development comes from crypto, where computer scientists, often unaware of established economic theories, progress with the design and development of super-optimal market-making, settlement and reconciliation systems. These systems often leave even the most sophisticated equities and commodities platforms in the dust.  Indeed, the spillover has been quietly revolutionizing the financial industry. Take, for example, the latest, yet unpublished, research of Prof. Agostino Capponi of Columbia University Industrial Engineering and Operations Research (IEOR) department. It focuses on market microstructure and intertemporal dynamics of market-making in the crypto and, more broadly, DecentralizedRead More →

Irene Aldridge has co-authored research on interpreting artificial intelligence and building trading strategies from data. A draft of the working paper can be found on SSRN. Title: What Data Series Matter? Explaining key trends and factors generated by Artificial Intelligence Abstract: We show a simple way to let the data speak for themselves. Specifically, we show how a large mixed bag of data, potentially embedded with missing data points and collinearities, and therefore unsuitable for traditional econometric analysis, can be useful in building fast and meaningful big data and artificial intelligence analyses and predictions. What’s more, our technique helps the results of the analyses toRead More →

Irene Aldridge will speak on the panel titled “Fintech and the Future of Finance” on Thursday, March 4, 2021, along with Anand Autar of ING and Caroline Tarnok of Coinbase. The panel will be moderated by John Bowden of ING. Here is the link to the event: https://netforum.avectra.com/eweb/DynamicPage.aspx?Site=CMCAS&WebCode=210225FintechPanelRead More →