Beyond Faster (T+1) Trade Settlements: The Hidden Costs of Optimization episode artwork

EPISODE · May 29, 2024 · 27 MIN

Beyond Faster (T+1) Trade Settlements: The Hidden Costs of Optimization

from Money For the Rest of Us

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 tradesWhat will it take for securHow BlackRock and Franklin have launched Treasury funds that are tokenized and trade on the Etherium networkHow optimization works and what are the tradeoffsHow we can use satisficing and rules of thumb in order to cope with the complexity of the worldSponsorsYahoo FinanceMonarch Money – Get an extended 30-day free trialOur Premium ProductsAsset CampMoney for the Rest of Us PlusShow NotesAbout the ‘T+1’ Rule Making US Stocks Settle in a Day by Lydia Beyoud and Greg Ritchie—BloombergSEC Chair Gensler Statement on Upcoming Implementation of T+1 Settlement Cycle—SECWhat faster trading cycles will mean for US markets by Jennifer Hughes and Harriet Clarfelt—The Financial TimesSpeedier Wall Street Trades Are Putting Global Finance On Edge by Greg Ritchie—BloombergBlackRock closes in on crown of world’s largest bitcoin fund by Will Schmitt and Brooke Masters—The Financial TimesOptimal Illusions: The False Promise of Optimization by Coco KrummeFinancial Statement Analysis with Large Language Models by Alex G. Kim, Maximilian Muhn, and Valeri V. Nikolaev—The University of ChicagoRelated Episodes457: AI’s Fork in the Road: Societal Bliss or Existential Threat329: Meme Stocks, GameStop, Short Squeezes, and Bubbles228: How Tokenization Will Radically Change InvestingSee Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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 tradesWhat will it take for securHow BlackRock and Franklin have launched Treasury funds that are tokenized and trade on the Etherium networkHow optimization works and what are the tradeoffsHow we can use satisficing and rules of thumb in order to cope with the complexity of the worldSponsorsYahoo FinanceMonarch Money – Get an extended 30-day free trialOur Premium ProductsAsset CampMoney for the Rest of Us PlusShow NotesAbout the ‘T+1’ Rule Making US Stocks Settle in a Day by Lydia Beyoud and Greg Ritchie—BloombergSEC Chair Gensler Statement on Upcoming Implementation of T+1 Settlement Cycle—SECWhat faster trading cycles will mean for US markets by Jennifer Hughes and Harriet Clarfelt—The Financial TimesSpeedier Wall Street Trades Are Putting Global Finance On Edge by Greg Ritchie—BloombergBlackRock closes in on crown of world’s largest bitcoin fund by Will Schmitt and Brooke Masters—The Financial TimesOptimal Illusions: The False Promise of Optimization by Coco KrummeFinancial Statement Analysis with Large Language Models by Alex G. Kim, Maximilian Muhn, and Valeri V. Nikolaev—The University of ChicagoRelated Episodes457: AI’s Fork in the Road: Societal Bliss or Existential Threat329: Meme Stocks, GameStop, Short Squeezes, and Bubbles228: How Tokenization Will Radically Change Investing See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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Beyond Faster (T+1) Trade Settlements: The Hidden Costs of Optimization

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This episode was published on May 29, 2024.

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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...

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