Quantitative Investment Strategies
- 35-year veteran in systematic, data-driven investing and 10+ years leveraging AI.
- 80+ experienced market practitioners and data scientists, backed by 90+ engineers.
- Culture of continuous investment research and innovation, incrementally adding new information each year.
- Investment Ideas backed by economic rationale with >100 high quality datasets, AI, and human oversight to seek to balance the trade-off between the portfolio’s overall expected return, active risk budget, transaction costs and sustainability.
- Potential edge in harnessing the power of diversified data sources through advanced statistical analysis.
- Edge in harnessing the power of diversified data sources through advanced statistical analysis.
- Demonstrating established proven long-term track record of robust performance across investment regions.
- Achieving strong risk-adjusted performance rankings relative to peers while seeking differentiated implementation.
In today's market, investors are navigating between the cost-efficiency of passive allocations and the potential for outperformance and dynamic risk management offered by active strategies. We understand the desire for solutions that bridge this gap.
An Alpha Enhanced approach offers a middle ground that blends the cost-effectiveness, transparency, and predictability of passive investing with the dynamic risk management and alpha potential of an active approach.
Our Alpha Enhanced strategies are implemented through a systematic, data-driven stock selection investment process, which allows investors to seek alpha, diversify risk, and optimize fee budgets effectively. These strategies can help integrate investment objectives and contribute to a portfolio's long-term success with stability, efficiency and balance.
Alpha Enhanced can be beneficial to enhance portfolios that incorporate value-based investment criteria like sustainability. Through a two-step process, we can help to minimize tracking error from sustainability criteria and then apply a dynamic alpha engine. This process helps manage hidden risks transparently and improve risk-adjusted performance.
