About a-team Marketing Services
The knowledge platform for the financial technology industry

A-Team Insight Blogs

Smart Contracts Show Potential; Progress Limited So Far

Subscribe to our newsletter

Experts on the deployment of blockchain technology to handle smart contracts, which facilitate trust between parties in a transaction, are disagreeing about how much blockchain is being applied to smart contracts so far.

The battle was joined in a panel discussion at the Blockchain for Wall Street conference hosted by the Wall Street Blockchain Alliance on November 29. According to Preston Byrne, chief operating officer and general counsel at Monax Industries, the maker of the Eris blockchain platform, “nothing” is in production currently for smart contracts, although he sees prototypes in the works that could be in production by the end of 2017.

IBM, the Swiss non-profit Ethereum Foundation, and New York and London based technology company R3 have emerged as the leading blockchain platforms for the financial services industry. Byrne gave an edge to Ethereum’s Solidity language for smart contracts processing. “Our bets are on [Solidity], because we see the most enthusiasm about it,” he said. “It’s organically built from scratch.”

The Hyperledger open source project for blockchain technology is being applied to smart contracts, however, according to Bart Cant, blockchain community leader at Capgemini Financial Services. “We see new initiatives like Hyperledger, Corda [R3’s platform] and other platforms jumping into the smart contract space,” he said. “It’s an evolution we’re going to see and continue to see. I’m not sure who the winner is going to be, but we’re looking at all pieces of it. Each brings specific aspects strengths to the environment. We will see that evolve over time.”

Use of blockchain for smart contracts by investment banking firms, particularly for trading and settlement of syndicated loans, could bring several benefits, according to a Capgemini study. Settlement of syndicated loan transactions could be reduced from 20 days down to 6 to 10 days; demand could be increased by 5 to 6%, and income from such transactions could increase by anywhere from $2 billion to $7 billion annually, according to the study.

Subscribe to our newsletter

Related content

WEBINAR

Recorded Webinar: Navigating the Build vs Buy Dilemma: Cloud Strategies for Accelerating Quantitative Research

For many quantitative trading firms and asset managers, building a self-provisioned historical market data environment remains one of the most time-consuming and resource-intensive steps in establishing a new research capability. Sourcing data, normalising symbologies, handling corporate actions and maintaining infrastructure can take months and absorb significant budget before a single model is tested. At the...

BLOG

The Hidden Challenge Lurking Beneath Energy Trading’s Bumper Profits

By Ami Katschinski, CEO and co-founder, Sphere. Sky-high trading profits earlier this year reignited the age-old debate of how, during market turbulence, some energy firms emerge as victors while others find themselves on the loss-making side of the trade. Geopolitical conflict has, and always will, create a frenzy of noise and opportunity for massive profits....

EVENT

TradingTech Summit New York

Our TradingTech Summit in New York is aimed at senior-level decision makers in trading technology, electronic execution, trading architecture and offers a day packed with insight from practitioners and from innovative suppliers happy to share their experiences in dealing with the enterprise challenges facing our marketplace.

GUIDE

AI in Capital Markets Handbook 2026

AI adoption in capital markets has moved into a more disciplined phase. The priority is now controlled deployment: where AI can be used safely, where it can deliver measurable value, and how outputs can be governed, monitored and evidenced. The 2026 edition of the AI in Capital Markets Handbook examines how AI is being applied...