Wall Street Doesn't Understand Productivity

Wall Street's Productivity Blind Spot

Prof. Dr. Leo Brecht

Member of the Board, Partner

Prof. Dr. Leo Brecht

Prof. Dr. Leo Brecht

Member of the Board, Partner

Prof. Dr. Leo Brecht is a mathematician and economist with a PhD in mathematical statistics and a professorship in innovation and technology management at the University of Liechtenstein. With over 20 years of experience in management consulting and applied research, and more than 10 years in investment management, he is a leading expert in the fields of innovation, technology and product management. Leo Brecht has supported more than 100 projects for SMEs and multinational companies in various industries, from strategic consulting to technology assessments. He is also the founder of ALPORA, where he and his team have developed innovative investment products that have led to over €700 million in assets under management. Over the last ten years, he has given more than 1,000 investor presentations. He was a partner at Andersen and Arthur D. Little, the author of several books and a conference speaker. As an active investor and serial entrepreneur, he is particularly involved in the FINTECH, SUSTTECH and EDUTECH sectors. In his free time, Leo Brecht is a passionate regatta sailor and skier and enjoys spending time with his family.

The Productivity Mispricing in Global Markets

Despite operating in an environment constrained by deglobalization, demographic aging, and record debt, Wall Street systematically misprices operational productivity. Similar to historical inefficiencies in valuing innovation, conventional financial frameworks fail to differentiate between high-productivity and low-productivity firms. This creates a persistent mispricing architecture, offering significant opportunities for investors equipped with advanced analytics.

Cutting-Edge Methodology: Data Envelopment Analysis

To capitalize on this inefficiency, Averdas integrates alternative data and applies Data Envelopment Analysis (DEA). This frontier-based quantitative model evaluates companies across three core dimensions to generate actionable insights:

  • Asset Productivity: Analyzes how effectively firms convert deployed capital, property, and technology into profitable output.
  • Process Excellence: Measures the quality and efficiency of organizational workflows and operational systems.
  • Resilience: Evaluates organizational adaptability and recovery capabilities to mitigate exposure during adverse market conditions.

Alpha Generation and Risk Mitigation

By integrating these data-driven insights, institutional investors can capture persistent, uncorrelated alpha. Comprehensive back-testing (2008–2026) across the S&P 1500, Stoxx Global 1800, and MSCI Europe demonstrates that productivity leaders consistently outperform benchmarks, particularly during high-stress periods like the COVID-19 crisis. Utilizing these advanced analytics empowers portfolio managers to optimize capital allocation, enhance long-term growth, and manage risk with precision.

To find out more, take a look at our latest white paper in the scientific papers section.

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