08.14.2019

Northern Trust Develops Machine Learning Based Forecasting

08.14.2019

Northern Trust announced it has developed an innovative pricing engine that utilizes machine learning and advanced statistical techniques to drive revenue growth for clients by more effectively forecasting the rate to loan securities in the securities lending market.

Built on a hybrid-cloud platform that allows for highly efficient processing of data, the algorithm leverages numerous strategic market data points from multiple asset classes and regions to project the demand for equities in the securities lending market. Northern Trust global securities lending traders are able to leverage these projections, together with their own market intelligence, to automatically broadcast lending rates for 34 global markets to Northern Trust’s extensive network of borrowers, thereby enhancing revenue opportunities for lending clients.

“Northern Trust continues to invest in emerging technologies to bring enhanced value to our clients,” said Pete Cherecwich, president of Corporate and Institutional Services at Northern Trust. “The use of machine learning in our global securities lending business enables greater pricing efficiency that helps clients improve revenue across portfolios. This enhances Northern Trust’s broad suite of securities financing capabilities, providing borrowers with highly automated, low transaction cost trade execution solutions in this cost-conscious market.”

From trading desks in Chicago, London, Hong Kong, Sydney and Toronto, Northern Trust’s securities lending team has been generating incremental revenue for clients using innovative solutions for over three decades.  As of June 30, 2019, there was approximately US$1.2 trillion in lendable assets for more than 450 clients worldwide.

“With this latest advancement, we have created an infrastructure and analytical framework that can intelligently adapt to changing market conditions” said Dane Fannin, head of global securities lending at Northern Trust. “Our technology assesses market demand across thousands of securities and allows our traders to extract better returns for our clients. The potential benefits from machine learning techniques extend beyond this initial application, and we will continue exploring and developing solutions that drive value for our clients.”

Source: Northern Trust

It's been a month since we had our Women In Finance Awards in New York City at the Plaza! Take a look back tab some moments, and nominate for our upcoming awards in Mexico City and Singapore here: https://www.marketsmedia.com/category/events/

4

Citadel Securities told the SEC that trading tokenized equities should remain under existing market rules, a position that drew responses from various crypto industry groups. @ShannyBasar for @MarketsMedia:

SEC Commissioner Mark Uyeda argued that private assets belong in retirement plans, saying diversified alts can improve risk-adjusted returns and that the answer to optimal exposure “is not zero.” @ShannyBasar reporting for @MarketsMedia:

COO of the Year Award winner! 🏆
Discover how Jennifer Kaiser of Marex earned the 2025 Women in Finance COO of the Year recognition.

Load More

Related articles

  1. Chairman Jonathan Morris says the market is at an inflection point for institutional adoption.

  2. The ETF platform was introduced in 2023 with six strategies.

  3. The fund will focus on the small and mid-market.

  4. PME's equity portfolio will be managed by two asset managers instead of three.

  5. J.P. Morgan and State Street have launched tokenized funds.