Beyond Faster (T+1) Trade Settlements: The Hidden Costs of Optimization
May 29, 2024
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Exploring the shift to faster trade settlements from T+2 to T+1, the benefits, costs, and challenges involved. Discussing BlackRock and Franklin launching Treasury funds on the Etherium network. Delving into optimization in blockchain technology and the use of satisficing and rules of thumb to cope with complexity.
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Quick takeaways
US markets are transitioning to a faster T+1 settlement cycle for trades, improving investor access and market efficiency.
Optimization in financial systems brings benefits like efficiency but risks such as fragility and lack of diversity.
Deep dives
Transition to T+1 Settlement Cycle in US Markets
US markets are transitioning to a faster T+1 settlement cycle for trades, reducing the settlement time from two days to one. This change aims to provide investors quicker access to their funds and enhance market efficiency by decreasing risks associated with longer settlement periods. The move was prompted by challenges faced by brokers during high trading volumes, such as the need for additional collateral due to trade delays, resulting in a congressional investigation and subsequent SEC decision to shorten the settlement window.
Impacts of Optimization in Financial Systems
Optimization in financial systems, exemplified by the shift towards faster trade settlements, brings benefits but also introduces risks. Optimization simplifies complex processes to enhance efficiency, yet it may lead to fragility through reduced slack and increased risk. Challenges such as lack of diversity and scalability emerge from optimizing systems, potentially diminishing uniqueness and local connections while increasing specialization and global integration.
Balancing Optimization and Coping in Investing
While optimization offers efficiencies in fields like agriculture and technology, the philosophy of capitalism underscores the diverse and bottom-up nature of societal systems. In investing, the tension between optimization and adaptation, or coping, is apparent, with satisficing approaches integrating rules of thumb and practical assessments to navigate uncertainties effectively. This contrasts with traditional optimization strategies, highlighting the importance of holistic, flexible decision-making based on diverse inputs.
Why stock, ETF, and bond trades are optimized to settle in less than a day, allowing investors quicker access to their cash and securities. What are the benefits and costs of optimization in the relentless drive for cheaper, faster, and more profitable.
Why countries are moving to T+1 settlement from T+2 for security trades
What will it take for secur
How BlackRock and Franklin have launched Treasury funds that are tokenized and trade on the Etherium network
How optimization works and what are the tradeoffs
How we can use satisficing and rules of thumb in order to cope with the complexity of the world