Averdas Productivity Factors

We provide the next generation of factors, creating alpha through scientifically validated analytics and uniquely investible fund solutions addressing the needs of the century.

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.

Make the Business

Resource Factor

Resource Factor

Stabilize the Business

Resilience Factor

Resilience Factor

Run the Business

Process Factor

Process Factor

Build the Business

Asset Factor

Asset Factor

Multi Factor

Productivity Factors in Investing

Data-Driven Asset Selection

Identification of Non-Linearities and Inefficiencies in the Market

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

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

  Overview Europe US 1500 US 500
  Return      
  Annualized Return (Full Period) 12.81% 17.98% 16.34%
  1-Month Return 3.44% 2.95% 3.39%
  QTD Return 3.44% 2.95% 3.39%
  YTD Return (Non Annualized) 17.54% 16.56% -0.5%
  Annualized Return (1-Year) 31.24% 23.53% 7.42%
  Annualized Return (3-Year) 16.61% 24.90% 18.56%
  Annualized Return (5-Year) 14.28% 21.60% 13.76%
  Annualized Return (10-Year) 14.56% 21.15% 17.44%
  Risk      
  Annualized Volatility 14.61% 16.63% 16.24%
  Drawdown % 23.04% 39.90% 37.37%
  Tracking Error 4.08% 5.77% 6.01%
  Risk-Return      
  Sharpe-Ratio 0.8956 1.0798 1.0144
  Sharpe-Ratio (Since 2020) 0.9798 1.3490 1.0314
  Information Ratio 1.1392 0.8878 0.5856
  UpsideCapture Ratio 115.64 112.74 108.14
  Downside Capture Ratio 92.89 90.38 92.01

Productivty Leaders in Regions

  Overview Asia Emerging Markets ex Asia Global
  Return      
  Annualized Return (Full Period) 10.05% 6.04% 11.07%
  1-Month Return -1.05% 3.75% 3.25%
  QTD Return -1.05% 3.75% 3.25%
  YTD Return (Non Annualized) 39.57% 14.23% 19.62%
  Annualized Return (1-Year) 54.72% 31.38% 33.85%
  Annualized Return (3-Year) 29.04% 17.17% 24.55%
  Annualized Return (5-Year) 13.55% 14.41% 15.95%
  Annualized Return (10-Year) 13.21% 13.57% 15.79%
  Risk      
  Annualized Volatility 20.66% 25.28% 16.16%
  Drawdown % 41.58 55.21 44.02
  Tracking Error 9.20% 8.04% 1.85%
  Risk-Return      
  Sharpe-Ratio 0.5645 0.3599 0.7307
  Sharpe-Ratio (Since 2020) 0.7244 0.5238 1.0483
  Information Ratio 0.4089 0.6582 0.9072
  UpsideCapture Ratio 113.53 114.70 104.71
  Downside Capture Ratio 98.09 97.70 97.54

Averdas Factor Indices Summary

MarkM
  • US equities rebounded in July. Productivity Leaders US 500 rose 3.4%, and US 1500 increased 3.0%. The gap between the two universes indicates a wider rebound than the earlier mega-cap rallies. Larger companies remained slightly better. Earnings supported sentiment. Investors became more selective in the AI theme, favoring companies with clearer monetization.

  • Europe remained strong, with +3.4% growth for Productivity Leaders European Leaders. Financials, energies, industrials, and other value-oriented areas gained from a shift away from technology. Europe's diversification value and good stock/sector selection also helped.

  • Asia was the only region that declined in July, down 1.1%. Weakness was in semiconductor and artificial intelligence hardware names, following strong gains earlier. A modest decline indicates diversification protection. Asia's outlook depends on the AI investment cycle, offering substantial upside and risk.

  • Emerging markets ex-Asia was July's best-performing area, growing by +3.8%. Its energy, commodities, and financial sectors all did well. It also has a strong position in the physical infrastructure supporting data center and grid investments. But the region is still quite sensitive to changes in commodity prices, the dollar, and interest rates, meaning there may also be higher volatility.

  • Overall, in July, the stock market rebounded with gains of +3.3% in the productivity sector. The best-performing regions were EM ex Asia and Europe, followed by the US, while Asia experienced a decline. The market leader expanded beyond the concentrated AI-capex trade, with financials, energy, and cyclical companies also performing well. Investors are now distinguishing between companies with tangible earnings benefits and those dependent on capital spending. July reinforced the value of selectivity and regional diversification.

Source: Averdas Ag. Data as of 31. July 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