Unlock Higher Returns with Data-Driven Factors on Productivity
Gain actionable insights and outperform benchmarks by leveraging comprehensive analysis of asset, process, resources, and resilience productivity factors.
Resource Factor
Make the Business
For sustainable business enabled by efficient use of resources.
How resource factor works?
Resource-efficient stocks tend to outperform resource-inefficient stocks over the long term. This is known as the resource-efficiency-score.
Why they outperform resource-ineffective stocks?
Organizations with a focus on reducing the consumption of resources have better stakeholder scores (i.e., ESG) and higher shareholder values, leading to higher returns.
Make the Business
Resource Factor
Resilience Factor
Stabilize Business
For stable business enabled by the ability to adapt quickly on a strategic and operational level.
How resilience factor works?
Resilient organizations better cope with disruptive events , “bounce back” faster to a pre disruption state, and “bounce forward” toward unprecedented futures.
Why they outperform resource-ineffective stocks?
Organizations having high resiliency anticipate, adapt and recover better from disruptive events on the systematic, strategic and operational level leading to higher stable returns.
Stabilize the Business
Resilience Factor
Process Factor
Run the Business
For profitability enabled by efficient use of operational capabilities.
How process factor works?
Process-efficient stocks tend to outperform process-inefficient stocks over the long run. This is known as the operating frontier.
Why they outperform process-ineffective stocks?
Organizations with better dynamic organizational capabilities are more efficient and aligned to the VUCA environment, leading to higher returns.
Run the Business
Process Factor
Asset Factor
Build the business
Long term growth enabled by effective use of assets like labor, capital and technologies.
How asset factor works?
Asset-effective stocks tend to outperform asset-ineffective stocks over the long term. This is known as the organizational production possibility frontier.
Why they outperform asset-ineffective stocks?
Organizations that fully utilize their assets will produce a higher quantity of goods more efficiently, leading to higher revenues.
Build the Business
Asset Factor
Multi Factor
After calculating each score, a multi-step procedure is applied to identify and select the best performing companies in terms of innovation-productivity, process-productivity, and resiliency. Step 2 builds on Step 1 by selecting the TOP 50 process-efficient companies from the TOP 100 innovation-efficient companies. In step 3 the TOP 20 performing resilient companies are matched with the TOP 50 of the identified companies after step 2. The remaining “spaces” are filled with the TOP 50 companies after step 2. This procedure ensures that the final selection embodies the best performing firms. This approach prevents over-reliance on any single factor while combining the benefits of growth, profitability, and stability.
Multi Factor
Productivity Factors in Investing
Data-Driven Asset Selection
Identification of Non-Linearities and Inefficiencies in the Market
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Quantitative and Sophisticated Mathematical Model for Selection
Scientifically Proven Approach
Identification of Robust and Alpha-generating Productivity Leaders
Higher Returns Independent of Macro-Economic Cycles
Sector and Industry Independent
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Size
Smaller, high-growth companies
Quality
Financially healthy companies
Momentum
Stocks with upward pricetrends
Carry
Income incentive to hold
riskier securities
Value
Stocks discounted relative
to their fundamentals
Minimum volatility
Stable, lower-risk
stocks
Quality
Financially healthy companies
Momentum
Stocks with upward pricetrends
Size
Smaller, high-growth companies
Similar Inputs Lead To Similar Results
Most investors use similar inputs in similar ways, leading to similiar results, including well-known factors such as quality, momentum, growth, value, dividends, low volatility, and size.
We at Averdas use data differently, apply different algorithms for different insights and build our new factors on productivity. With our approach we are able to identify productivity leaders that generate superior returns independent of macro-economic cycles.
Solactive Averdas Indices
Leverage Data-Driven Productivity Insights for Superior Index Performance
Multi-Factor Indices: Combining Factors
While powerful individually, factors also can be used in combination to reflect market outlook and investment objectives. Some common factor combinations include:
Asset + Process
Asset + Resource
Asset + Resilience
Resource + Resilience
Process + Resource
Process + Resilience
Productivty Leaders in Regions
Productivty Leaders in Regions
Averdas Factor Indices Summary
US equities fell in June, as the AI-capex trade hit a profit-taking wall. Microsoft (-17%, its worst month since 2000) and Oracle (-35%, despite a strong quarter) led the retreat, as investors turned focus from AI growth to its cost of funding. The Fed held rates at 3.50%-3.75% under new chair Kevin Warsh, but its dot plot turned hawkish on sticky, energy-driven inflation. The gap between the US 500 and 1500 shows damage was concentrated at the top; broader exposure held up better, and YTD gains remained solid.
Europe was the only bright spot this month, with Productivity Leaders European Leaders up 1.5% — the only region in positive territory. Lighter exposure to AI infrastructure mega-caps, a rotation into value and defensives, and improving sentiment on a potential Middle East de-escalation all worked in Europe's favour. Valuations are stretched, but Europe's diversification value showed up exactly when it mattered.
Asia was the weakest region in June, down -4.9%, even as it remains the top YTD performer. The pullback tracked the global AI/semiconductor de-rating, though Korea's KOSPI hit fresh highs on Samsung and SK Hynix. The setback reminds us that Asia's outperformance and its downside risk both flow from concentrated AI exposure.
Emerging markets ex-Asia fell 2.0% due to a risk-averse environment and a stronger dollar following the Fed. The Brazil/Latin America growth story and exposure to AI data center and grid development are solid. However, this wasn't enough to counter the risk-averse tone this month. Year-to-date and one-year performance is robust but remains the most volatile segment.
Overall, June was a negative month. Europe was the only positive universe against declines in the US, Asia, and Emerging Markets. This followed an exceptional Q2, the S&P 500 and Nasdaq's best quarter since 2020, and reflects a narrow, capex-driven correction. A restrictive Fed adds a layer of policy risk, pushing the first cut expectation into 2027. The AI theme remains the dominant driver of dispersion, and June showed that cuts both ways: Europe, above all, held up best when sentiment briefly turned. Selectivity and diversification remain the name of the game.
Source: Averdas Ag. Data as of 30. June 2026. Index performance based on total return (EUR/(USD)
Understanding the Full Scope of Productivity Factors
Asset Factor
Process Factor
Resilience Factor
Resource Factor
Multi-Factor
US
Asset Factor
US
Process Factor US
Resilience Factor US
Resource Factor US
Multi-Factor
US
Europe
Asset Factor Europe
Process Factor Europe
Resilience Factor Europe
Resource Factor Europe
Multi-Factor Europe
Global
Asset Factor Global
Process Factor Global
Resilience Factor Global
Resource Factor Global
Multi-Factor Global
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