Machine learning
Podcast: Kondratyev and Schwarz on generating data
Market generator models may aid areas of finance where data is limited or sensitive
The market generator
A generative neural network is proposed to create synthetic datasets that mantain the statistical properties of the original dataset
Ripping up the old asset class labels
Outmoded classifications of securities may be concealing market risk. AI has a better idea
Bank disruptors: Crédit Ag taps AI to lure swaptions business
Machine learning model predicts client demand with high accuracy, giving traders an edge in pricing
Bank disruptors: BofA’s ‘citizen devs’ take on innovation mantle
Central data and technology group enables frontline ‘citizen developers’
Interpretability of neural networks: a credit card default model example
Recently developed techniques aimed at answering interpretability issues in neural networks are tested and applied to a retail banking case
Bank disruptors: how tech joint ventures help Nomura’s bottom line
Nomura is developing new software services to supplement trading profits
Bank disruptors: SocGen’s call to start-ups
Fintechs and ‘intrapreneurs’ are leading Societe Generale’s digital transformation
Haitong taps NLP to inform collateral coverage
Hong Kong broker scours news and blogs in bid for better corporate signals in China’s opaque markets
Bank disruptors: tread carefully and bend things
How BofA, SocGen, JP Morgan, Nomura, UBS and others are disrupting themselves
Bank disruptors: Barclays finds blockchain nirvana
USC could transform financial markets. But first, backers must prove it is secure
Ex-Credit Suisse quants embrace machine learning
Founders of XAI Asset Management grapple with unsupervised learning and the problems of explainability
Allocation models that know their unknowns
Quants say probabilistic programming beats machine learning in balancing strategies
Private equity investors see savings in AI
Unigestion, Schroders using machine learning to avoid ‘obvious losers’ among private equity firms
Review of 2019: shaken, not stirred
The market survived a cocktail of hits. But is a hangover on the way?
Quant funds look to AI to master correlations
Machine learning shows promise in grouping assets better, predicting regime shifts
Dark materials: how one academic is delving into data
David Hand shines a light on dark data and the dangers of distortion by absence
Degree of influence: Regulatory policies drive quantitative research
Counterparty risk and market risk hold centre stage, data science moves up, quantum computing debuts
Risk Markets Technology Awards 2020: The devil in the data
Banks are trying to do more with data, but they can’t always do it alone
Rising star in quant finance: Blanka Horvath, Aitor Muguruza and Mehdi Tomas
Risk Awards 2020: New machine learning techniques bring ‘rough volatility’ models to life
Asia lenders usher in year of the virtual bank
The surge in online banking is informing risk technologies in traditional banks
Buy-side risk manager of the year: Vanguard
Risk Awards 2020: Fund giant gave more risk work to machines this year - from duration hedging to op risk