Natural language processing (NLP)
UBS embraces ‘narrative alpha’ for new form of sentiment strategy
NLP engine traces how stories spread, instead of counting words
Natural language processing-based detection of systematic anomalies among the narratives of consumer complaints
The authors develop a means to detect nonmeritorious consumer complaints using natural language processing.
Execs can game sentiment engines, but can they fool LLMs?
Quants are firing up large language models to cut through corporate blather
LLM integration: Special report 2024
This report delves into the nuanced deployment of LLMs in the financial sector, exploring their application in day-to-day operations, model governance, and the challenges of implementation
CompatibL AI: at the forefront of change within the financial industry
The ongoing revolution in AI offers tangible benefits in risk management and financial trading. By leveraging CompatibL AI, institutions can overcome the limits of LLMs and gain accuracy, efficiency and better handling of natural language documents,…
Dismantling the zeal and the hype: the real GenAI use cases in risk management
Chartis explores the advantages and drawbacks of GenAI applications in risk management – firmly within the well-established and continuously evolving AI landscape
In search of clean data: firms navigate data challenges as LLM adoption flourishes
This WatersTechnology rapid read report explores the transformative potential of LLMs in financial services, offering insights into the evolution, challenges and positive impacts on decision-making processes in capital markets
Quant shop preps NLP-powered index for physical climate risk
Sharp rise in extreme weather events prompts PGIM Quant to aim for better climate-risk pricing
Can machine learning help predict recessions? Not really
Artificial intelligence models stumble on noisy data and lack of interpretability
People: Estrada, Horne out in Credit Suisse rout, Belsher to Barclays, and more
Latest job changes across the industry
A text analysis of operational risk loss descriptions
The authors put forward a workflow for using text analysis to identify underlying risks in operational risk event descriptions.
Banks’ internal watchdogs bark back at ChatGPT
Generative AI has plenty of uses in finance, but banks must first overcome compliance headaches
How Man Numeric found SVB red flags in credit data
Network analysis helps quant shop spot concentration and contagion risks
BloombergGPT: Terminal giant enters the LLM race
New large language model aims to supercharge Terminal’s ability to provide sentiment, charting and search
How to hone NLP’s detection skills: a cue from a super-sleuth
With a sharper focus, AI readers could help detect hidden exposures for investors
Analysts reveal more than company execs on earnings calls – AB
Sentiment signals derived from what analysts say beat those based on bosses’ responses, say quants
Language barrier: quants slog to teach investing bots to read
Training models to interpret text can be dull; doing it badly can be costly
New breed of NLP model learns finance better, study finds
Models trained by looking at sentences beat conventional approaches that contextualise words
Scalability could trump complexity in machine learning debate
Risk USA: banks “on the precipice” of adopting more complex models, says Goldman exec
Technology vendor of the year: NICE Actimize
Asia Risk Awards 2021
Machines can read, but do they understand?
A novel NLP application built on a Google transformer model can help predict ratings transitions