The asset pricing in a granular economy. A few firms are exceedingly large. Results: reduced diversification across stocks and heightened aggregate risk.

Portfolio_construction
LQG 2024/09/04 – 2024/09/07 – 2 Day – Autumn Seminar – at Cambridge – Robinson College – IP *OLO* Hybrid
The LQG 2024 Autumn Seminar – 11 great speakers and topics – in its 38th year.
LQG 2024/07/09 – 18:30 – 3D Investing: Jointly Optimizing Return, Risk, and Sustainability – Clint Howard – at Snowflake – IP *OLO* Hybrid
3D optimization – Optimizing Risk, Return and Sustainability (or something else important). Superior to 2D approach with constraints.
LQG 2023/10/12 – 18:30 – Evaluating and Comparing Risk Model Performance – Jose Menchero – at Bloomberg – Hybrid
Evaluating and comparing risk model performance for risk forecasting, portfolio construction and return attribution – a comparison framework.
LQG 12/07/22 In-Person and On-Line – Asset Allocation with Crypto: Application of Preferences for Positive Skewness – Andrew Ang
LQG July 2022 seminar delivered in person by Andrew Ang of BlackRock – Asset Allocation with Crypto: Application of Preferences for Positive Skewness – Beware there be dragons!
LQG 10/05/22 – On-Line – Multi Asset Class Factor Premia – Stefano Cavaglia, Louis Scott & Kenneth Blay
The significant benefits of using Multi Asset Class Factor Premia for overlay strategies over an investor’s lifecycle
LQG 08/02/22 – On-Line – Options in portfolios – David Buckle
LQG 08/02/22 – On-Line – “Enhanced income and costless protection” : Good options, poor choices and the hidden costs of a supposedly free lunch – David Buckle. This seminar aims to stimulate thought and discussion as the analysis’ conclusions are likely to be counter intuitive to some and controversial to others.
LQG 12/11/21 – In-Person – 1 Day Autumn Seminar at Goldman Sachs – 6 talks – 9 Speakers
The the 12/11/21 one day / all day LQG autumn seminar – 6 talks delivered by 9 brilliant speakers generously hosted by Goldman Sachs
LQG 12/10/21 – On-Line – AlphaPortfolio: Direct Construction Through Deep Reinforcement Learning and Interpretable AI – Prof. Will Cong
Highlight the utility of deep reinforcement learning in finance and invent “economic distillation” tools for interpreting AI and big data models








