Algorithmic trading
Option market-making and vol arbitrage
The agent’s view is factored in to a realised-vs-implied vol model
Direct feeds: life in the fast lane
Financial services firms are consuming more data than ever to drive a number of front- and middle-office use cases, including algo, proprietary and HFT, market-making functions and backtesting trading strategies
Choosing trading strategies using importance sampling
The sampling technique is more efficient than A-B testing at comparing decision rules
BofA’s e-FX rebuild pulls it closer to rivals
Deploying its equities tech stack, bank seeks to get ahead of the pack with algo and e-FX offerings
The curious case of the revealing orders
Oxford academics have found evidence pointing to collusion on a European exchange, but market-makers aren’t wholly convinced
Dutch regulator in new push on algo manipulation
AFM teams up with Oxford Uni academics to develop data models that will identify “harmful” activity in automated trading
FX algo users change tack to navigate market doldrums
BestX data finds traders ditching TWAP in favour of more opportunistic execution styles
Podcast: Alvaro Cartea on collusion within trading algos
Oxford-Man Institute director worries ML-based trading could have anti-competitive effects
Adopt hybrid cloud to resolve the false dilemma between resilience and modernisation in banking
This study explores the challenges banks in Asia-Pacific face in enhancing operational resilience, and how they plan to leverage data and hybrid cloud in building operational resilience
Keys to the kingdom: FX dealers open doors to passive trades
Banks provide entry to internal exchanges and principal trading desks
FX automation plans focus on predictive analytics – panel
Panellists suggest banks could explore AI tools for foreign exchange pricing
Risk, portfolio margin, regulation: regtech to the rescue
This Whitepaper addresses the complexity of today’s risk environment for market professionals which can only be fully met with a regtec approach. Cost, competition, technology capability, and regulation influence and drive decision making.
Slicing algos blamed for market impact on dark venues
Fragmented markets contribute to sixfold jump in possible price moves
Deutsche Börse building equities dark pool
Move comes hot on heels of Euronext launching its own dark pool
Driving a modern operational resilience program
Strengthen your operational resilience processes, meet pertinent regulatory requirements in this space, and enhance business continuity practices with the help of high-performance GRC technology.
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
AI expert warns of algo-based market manipulation
Regulators must keep pace with new technology that could be used to control financial markets
The cost of mis-specifying price impact
Expected returns can be significantly affected by the wrong use of impact models
In search of clean data: firms navigate data challenges as LLM adoption flourishes
Large language models (LLMs), a form of artificial intelligence (AI) specialising in natural language processing, represent many opportunities for financial services firms to improve investment decisions and enhance risk management.
Tackling credit risk in turbulent times
In September and October, Risk.net surveyed 58 chief risk officers from a mixture of banks and insurers across the Asia-Pacific region on the credit risks they face in the current environment and how they manage them.
Will generative AI crack the code for bank tech teams?
Banks could roll out tools to help translate old – or write new – code within months