Are failure indexes fair play?
Regulators must clarify stance on trading off big-data forecasts of outages, writes energy consultant
It’s not uncommon to see an algo trade milliseconds before an outage declaration, which is likely to agitate other market participants. The trade may well be based on Forecast of Impending Failure Indices (Fifi): a highly accurate forecast of the probability of an asset’s imminent failure and a product of the big-data revolution. But European regulators have not dealt with forecasts within their definitions of what constitutes insider trading and, if they don’t, the agitated may remain aggrieved
Only users who have a paid subscription or are part of a corporate subscription are able to print or copy content.
To access these options, along with all other subscription benefits, please contact info@risk.net or view our subscription options here: http://subscriptions.risk.net/subscribe
You are currently unable to print this content. Please contact info@risk.net to find out more.
You are currently unable to copy this content. Please contact info@risk.net to find out more.
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Printing this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
Copyright Infopro Digital Limited. All rights reserved.
You may share this content using our article tools. Copying this content is for the sole use of the Authorised User (named subscriber), as outlined in our terms and conditions - https://www.infopro-insight.com/terms-conditions/insight-subscriptions/
If you would like to purchase additional rights please email info@risk.net
More on Comment
Op risk data: Lloyds lurches over £450m motor finance speed bump
Also: JPM trips up on trade surveillance; Reg Best Interest starts to bite. Data by ORX News
Georgios Skoufis on RFRs, convexity adjustments and Sabr
Bloomberg quant discusses his new approach for calculating convexity adjustments for RFR swaps
In a world of uncleared margin rules, Isda Simm adapts and evolves
A look back at progress and challenges one year on from UMR and Phase 6 implementation
Op risk data: Morgan Stanley clocked in block trading shock
Also: HSBC deposit guarantee gaffe; Caixa hack cracked; reg fine insult to cyber crime injury. Data by ORX News
Digging deeper into deep hedging
Dynamic techniques and gen-AI simulated data can push the limits of deep hedging even further, as derivatives guru John Hull and colleagues explain
How AI can give banks an edge in bond trading
Machine learning expert Terry Benzschawel explains that bots are available to help dealers manage inventory and model markets
Op risk data: US piqued by Pictet tax breach
Also: US Bank’s Covid failings; South Korea’s short-selling clampdown. Data by ORX News
Levelling the playing field for stablecoins
Regulatory asymmetries are a barrier to innovation in digital payments
Most read
- Quants are using language models to map what causes what
- Reluctantly, CME moves to clear US Treasuries
- The bank quant who wants to stop gen AI hallucinating