Luke Clancy is the London-based editor-at-large for Risk.net.
Over the past 20 years spent in financial journalism, his previous positions have included: supplements editor, Risk magazine; editor of Hedge Funds Review, ETF Risk and Custody Risk (all formerly published by Incisive Media (now Infopro Digital)); senior investment writer, Investment Week (published by Incisive Media); deputy editor, Global Investor (Euromoney); managing editor, Engaged Investor and Pensions Insight (Newsquest Specialist Media); editor, World Mining Stocks (Aspermont UK); editor, Global Pensions and deputy editor, Professional Pensions (MSM International); online editor, Private Wealth Advisor and Offshore Red (Camden Publishing).
“Woolly” rules fuel concern that bulletin boards and tech providers could be swept in
Dual machine-executable rules are set to create choice – and maybe bifurcation – for swaps reporting
Experts debate whether defaulted TRS positions should have become house exposures immediately
Banks and VCs believe inflation and rising interest rates will result in winners as well as losers
Quantum-proof algo standards nearing completion, but enhanced cryptography won’t come cheap
Executing brokers want to speed up trade processing, but practice is deemed risky by clearers
When a potential blow-up doesn’t show up, what use are VAR, SA-CCR and stress tests?
Asset manager wants industry to move faster in adopting “single source of truth” model
Entity-level reports were limited to supervisors, leaving counterparty banks in the dark
Lawsuit alleges top execs breached fiduciary duties; Credit Suisse shareholders block board exoneration
Proposed 1,250% risk weight for crypto holdings undercuts banks’ push into burgeoning market
David Mathers was also CEO of the swap dealer entities that housed the bank’s trades with Archegos
Ahead of shareholder vote, former execs point to gaps in key report – raising new questions about accountability
Sanctions could block coupon payments on $200bn of externally held foreign currency bonds
Embryonic work on quantum neural networks raises hope of faster, more accurate models
Focus instead on outcomes and costs and factor in different clearing membership, say Murphy and Vause