Chief Investment Officer, Invesco Quantitative Strategies Bernhard Langer
M.A., CFA charterholder
Invesco has developed a proprietary, factor-based methodology, which aims to deliver client outcomes better than those of traditional active or passive equity approaches and focuses on low volatility stocks within Europe.
Factor investing aims to systematically exploit drivers of risk and return in order to create portfolios that deliver an enhanced risk-return profile. It is not about traditional stock selection but rather understanding the building blocks of stock returns.
A conservative equity portfolio with asymmetric return profile following a quantitative, factor-based stock selection process with a focus on less volatile stocks. The objective of the strategy is to outperform the MSCI Europe Index over a medium-term horizon (typically, a 3-year rolling period) with less volatility and drawdown risk, and to subsequently exhibit a higher risk-adjusted return.
Our factor-based equity strategies aim to capture alpha by following a a systematic, rules-based investment process. This begins with stock selection using our proprietary, multi-factor model.
Our proprietary multi-factor model
This is based on our belief that a stock’s risk and return is systematically driven by quantifiable factors / attributes. The model ranks the stocks in our investible universe from the most attractive to the least attractive.
From our perspective, a stock is attractive, if:
Risk and return forecast
Portfolio optimisation
Final portfolio review and implementation
Invesco’s active approach to factor investing embraces a true diversity of thought. The team is committed to an extensive programme of research, drawing on a broad range of academic resources and our own expertise with the aim of constantly improving client outcomes.
The Invesco Quantitative Strategies team is responsible for managing equity active factor investing strategies. Through a strong commitment to research, the team continues to evolve its investment process and seeks to foster a purposeful evolution of the model, i.e. the enhancement of existing factors and the development of new factors.
This edition of Risk & Reward explores a novel NLP-driven controversy screening tool that complements traditional ESG assessments by effectively identifying financially material controversies through abnormal news flow indicator.
Subtle differences in factor definitions can profoundly impact performance, and a crucial decision is whether to rely on a single or multiple factor signals. We present an approach that may help investors improve factor premiums by diversifying across signals and removing exposures to unrewarded risks.
Welcome to Invesco’s seventh annual Global Factor Investing Study, incorporating the views of 83 institutional investors and 68 retail investors, collectively responsible for managing $25.4 trillion in assets.
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