Articles by Jean-Philippe Bouchaud
東京の豊富なデータが市場への影響について明らかにすること
新たな研究により、定量金融において最も直感に反する概念の一つが普遍的であることが確認されました。
The cost of mis-specifying price impact
Expected returns can be significantly affected by the wrong use of impact models
My kingdom for the right copula
Copulas can still deliver if chosen with due attention to intuition and data, says quant fund chair
Random matrix theory provides a clue to correlation dynamics
A growing field of mathematical research could help us understand correlation fluctuations, says quant expert
A step closer to the perfect volatility model
Research on ‘rough volatility’ gives fresh insight into financial fluctuations, quant expert explains
Whales or minnows? Sizing up crowded trades
Strategies for measuring crowding in trades can help to avoid its effect, writes quant fund founder
Don’t blame HFT: plug liquidity gaps for market stability
Dynamic fees could incentivise liquidity when and where it’s most needed, writes quant fund founder Bouchaud
To make sense of complex systems, send in the agents
Standard quant models cannot comprehend a radically complex reality, writes Jean-Phillippe Bouchaud
Tail protection for long investors: trend convexity at work
In this paper, the authors show that single-asset trend strategies have built-in convexity, provided their returns are aggregated over the right time scale, ie, that of the trend filter.