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Real money investors cash in as dispersion nears record levels
Implied spreads were elevated to start 2026. Realised levels have been “almost unprecedented”
Markets never forget: the lasting impression of square-root impact
Jean-Philippe Bouchaud argues trade flows have a large and long-term effect on asset prices
Ram AI’s quest to build an agentic multi-strategy hedge fund
The Swiss fund already runs an artificial intelligence model factory and a team of agentic credit analysts
Market doesn’t share FSB concerns over basis trade
Industry warns tougher haircut regulation could restrict market capacity as debt issuance rises
Beyond the hype, tokenisation can fix the pipework
Blockchain tech offers slicker and cheaper ops for illiquid assets, explains digital expert
Featured
There’s a punt factor in stocks that investors might be missing
Speculative trading creates linkages between crypto and equities that vary depending on the stocks in question
Malkiel’s monkeys: a better benchmark for manager skill
A well-known experiment points to an alternative way to assess stock-picker performance, say iM Global Partner’s Luc Dumontier and Joan Serfaty
FSB chief defends global non-bank regulation drive
Schindler slams ‘misconception’ that regulators intend to impose standardised bank-like rules
How JPM AM swapped platforms for pipes
Asset manager wanted to cut FX venues – and their fees – out of dealer relationships. Now, it only trades direct
Risk.net’s top 10 investment risks for 2026
AI, strained governments, inflated private assets: risky bets have become hard to avoid
Artificial Intelligence
Rates investors unmoved by stories of AI bliss, or doom
Research shows downward moves in US Treasury yields around generative AI model releases
Quants use AI to shush noisy order-book data
Signals from clusters of seemingly informed trading perform better, researchers say
Why know-it-all LLMs make second-rate forecasters
A bevy of experiments suggests LLMs are ill-suited for time-series forecasting
Academic warns of systemic risk from AI-powered trading
Strategies generated by LLMs exhibit “very strange, correlated trading behaviour”, says Lopez Lira
Counterparty Radar
Matchmaking and benchmarking for OTC derivatives
Counterparty Radar is based on position data from around 20,000 US mutual funds and ETFs, rolled up to the manager level – it shows the OTC derivatives they have on their books, and who they traded them with, providing unique insights into an important market segment. More info
US mutual funds slash short euro positions at record pace
Counterparty Radar: Pimco cut $4.6bn of EUR/USD puts in Q3 amid changing stance on dollar direction
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