Equities
About Equities
Our approach to equity investing is based on a deep understanding of market risk factors refined over more than 25 years.
We combine cutting-edge technology with the discretionary expertise of our people to build resilient portfolios for our clients.
What we do
Defensive equities
Risk-managed, disciplined equity portfolios designed for investors who have capital protection as a key objective and who seek steady, long-term returns.
Core AI equities
Applying our expertise in machine learning to achieve best-in-class stock selection and enhanced diversification for clients seeking outperformance and predictability.
How we invest
- A deep understanding of market risk factors and a repeatable process
- Combining mind and machine to assess the full spectrum of risk and return drivers
- Using macro, sentiment and valuation indicators to adjust our style allocation and market risk
- Integrating ESG throughout our portfolio construction process and actively engaging with portfolio companies
Our team
Our seasoned team has decades of experience in financial markets. We have invested through numerous market cycles and bring a deep understanding of macroeconomic and geopolitical trends to our investment process.
We apply this knowledge to all our portfolios, employing a combination of quantitative analysis and fundamental expertise in order to deliver attractive returns to clients.
Machine learning expertise
Quant models relying on backward-looking statistics usually work well in backtests or when risks do not change. Our investment process is about risk management and identifying future change, hence it combines both systematic models and discretionary human analysis.
Style factors
We do not use academic factor models to invest, but use our own proprietary technology to analyse and select the best metrics from each factor. This approach delivers the same diversification benefits with superior performance potential.
Risk modelling
We measure and deconstruct risks using advanced quantitative models including stock price analysis and top-down indicators. This enables our portfolios to exhibit convincing capital protection characteristics and consistent behaviour across market regimes.
Responsible investment
Our 360 risk management process seeks to uncover all dimensions of risk. ESG issues are critical as they can materially impact the risk profile of companies and we integrate a four pillar approach to assessing ESG risks and opportunities in our investment process.
Fundamental research
We uncover risks and opportunities by analysing stocks, sectors, countries and themes. Our qualitative appraisal complements this quantitative approach with a forward-looking view and acts as a safety net, improving on the weaknesses of quantitative models.
Videos
Webinar: AI equity alpha – illusion or reality? An outlook for 2024
The so-called ‘magnificent seven’ dominated global market returns in 2023 – but does their future in 2024 still look rosy?
Is there a chance that investors can look to AI to help make the right calls?
What styles can be used to harvest alpha cyclicality and how can AI select the right metrics to define risk-premias?
Our Equities portfolio managers, Amélie Séguin and Nicolas Poignant, answered these and many more questions on what machine learning is telling us about the trends for 2024 in our latest webinar, ‘AI equities alpha – illusion or reality? An outlook for 2024’
Equities insights
- Equities
- Events
The Unigestion Equities team showcases the latest progress they have made in leveraging AI to improve risk and alpha forecasts, and details how they have embedded these innovations into portfolio construction techniques.
- Equities
- Papers
The covid crisis prompted a period of close-to-zero interest rates around the world, and an injection of significant monetary and fiscal stimulus. This extensive support, however, proved a doubled-edged sword as while such support was essential, it combined with trade frictions to bring about a sharp surge in inflation. This was initially expected to be transitory but policy makers soon realised that severe action would be required to prevent an inflation/price spiral. Central banks around the world then began a co-ordinated hiking cycle.
- Equities
- Papers
Income investing has long been of interest to equity investors seeking capital growth and attractive yields. Ageing populations and historically low interest rates have increased demand for such investments further. But income investing is not without its complexities. How can artificial intelligence help asset managers overcome these potential pitfalls and deliver consistent outperformance for clients?