Our Mission streichen

Investment Strategies with Productivity Factors

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

Asset Factors

Process Factors

Resource Factors

Resilience Factors

Multi Factor

Averdas 4-Tier Analytics Approach

The combination of analytics on fundamentals, and sentiment analytics on semi-structured data provides a powerful approach for businesses to gain a comprehensive understanding of their operations and the broader landscape. By leveraging these advanced data analytics techniques together, businesses can gain insights into market trends, consumer preferences, and operational efficiency.

Similar Input Lead To Similar Results

Minimum volatility

Stable, lower-risk stocks

Momentum

Stocks with upward pricetrends

Value

Stocks discounted relative
to their fundamentals

Size

Smaller, high-growth
companies

Quality

Financially healthy companies

Carry

Income incentive to hold
riskier securities

To achieve improvements in alpha and increased resilience, it is necessary to consider alternative factors in the domains of technology, process, resources & resilience.

Similar Input Lead to Similar Results

To achieve improvements in alpha and increased resilience, it is necessary to consider alternative factors in the domains of patents, operations, and innovation analytics.

Data-Driven Insights with Tailored Algorithms

  • Uniquely constructed & intuitive

  • Investible & scientifically proven

Productivity Factors That Contribute to Superior Outcomes

Enhancing Alpha through Productivity Factors in Assets, Processes, Resources, and Resilience.

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1

Asset Factor

... long term growth enabled by the effective use of assets like labor, capital, and technologies.

Leverage cutting-edge technology insights to stay ahead in the market. Technology leadership is crucial for a company's success and growth, as demonstrated by studies from Harvard University and the University of Liechtenstein. Our Technology Leadership Factor (TL-Factor), an analytics model, assesses a company's ability to translate technological capabilities into consistent profit growth. This model, inspired and modified from Cohen et al. (2013), aligns with our investment strategies and market dynamics, turning what is typically an intangible asset into a measurable metric.

By using the TL-Factor, we identify companies that excel in technology leadership, positioning them for sustainable profitable growth. This scientifically-backed approach enhances our investment strategies, helping guide our clients to opportunities with substantial value and growth potential.

Learn more...

2

Process Factor

.... for profitability enabled by the efficient use of operational capabilities.

Leverage cutting-edge technology insights to stay ahead in the market. Technology leadership is crucial for a company's success and growth, as demonstrated by studies from Harvard University and the University of Liechtenstein. Our Technology Leadership Factor (TL-Factor), an analytics model, assesses a company's ability to translate technological capabilities into consistent profit growth. This model, inspired and modified from Cohen et al. (2013), aligns with our investment strategies and market dynamics, turning what is typically an intangible asset into a measurable metric.

By using the TL-Factor, we identify companies that excel in technology leadership, positioning them for sustainable profitable growth. This scientifically-backed approach enhances our investment strategies, helping guide our clients to opportunities with substantial value and growth potential.

Learn more...

3

Resource Factor

... for sustainable business enabled by the efficient use of resources (energy, emissions, waste, water, and material).

Leverage cutting-edge technology insights to stay ahead in the market. Technology leadership is crucial for a company's success and growth, as demonstrated by studies from Harvard University and the University of Liechtenstein. Our Technology Leadership Factor (TL-Factor), an analytics model, assesses a company's ability to translate technological capabilities into consistent profit growth. This model, inspired and modified from Cohen et al. (2013), aligns with our investment strategies and market dynamics, turning what is typically an intangible asset into a measurable metric.

By using the TL-Factor, we identify companies that excel in technology leadership, positioning them for sustainable profitable growth. This scientifically-backed approach enhances our investment strategies, helping guide our clients to opportunities with substantial value and growth potential.

Learn more...

4

Resilience Factor

... for stable business enabled by the ability to adapt quickly on a strategic and operational level.

Leverage cutting-edge technology insights to stay ahead in the market. Technology leadership is crucial for a company's success and growth, as demonstrated by studies from Harvard University and the University of Liechtenstein. Our Technology Leadership Factor (TL-Factor), an analytics model, assesses a company's ability to translate technological capabilities into consistent profit growth. This model, inspired and modified from Cohen et al. (2013), aligns with our investment strategies and market dynamics, turning what is typically an intangible asset into a measurable metric.

By using the TL-Factor, we identify companies that excel in technology leadership, positioning them for sustainable profitable growth. This scientifically-backed approach enhances our investment strategies, helping guide our clients to opportunities with substantial value and growth potential.

Learn more...

5

Sentiment Analytics

Making sense of unstructured data.

Leverage cutting-edge technology insights to stay ahead in the market. Technology leadership is crucial for a company's success and growth, as demonstrated by studies from Harvard University and the University of Liechtenstein. Our Technology Leadership Factor (TL-Factor), an analytics model, assesses a company's ability to translate technological capabilities into consistent profit growth. This model, inspired and modified from Cohen et al. (2013), aligns with our investment strategies and market dynamics, turning what is typically an intangible asset into a measurable metric.

By using the TL-Factor, we identify companies that excel in technology leadership, positioning them for sustainable profitable growth. This scientifically-backed approach enhances our investment strategies, helping guide our clients to opportunities with substantial value and growth potential.

Learn more...

Understanding the Full Scope of Productivity Factors

AVERDAS
Sentiment Analytics on unstructured Data
Job Posts
Transcripts
Press Releases
Annual Reports
Analyst Reports
Patents
Resilience
Factor
Resilience
Factor
Resilience
Factor
Process
Factor
Asset Factor
Resource
Factor

Explore the Averdas Alternative Factors Wheel

Averdas 4-Tier Analytics Approach

1

Innovation Analytics:

Delve into innovation metrices to predict trends and identify growth opportunities.

2

Operations Analytics:

Assess fundamental operations to refine processess and improve output quality.

3

Sentiment Analytics:

Analyze semi-structured data to gauge market sentiment and consumer preferences.

4

Combined Insights

By integrating these analysis, gain a comprehensive view that supports strategic business decisions and operational improvements.

Why settle for ordinary returns when you can achieve exceptional performance with Averdas?

How Productivity Factors Reshape Investing?

Wide Array of Data Sources

Leverage patents, operations, technology analytics, e-commerce platforms, job postings, and more across a wide range of data points.

Advantage of Alternative Data

Use information beyond traditional financial indicators to gain an edge in the market. This data provides insights into new investment opportunities that are often overlooked in conventional analysis.

Value From Alternative Data

Ready to enhance your investment strategy with advanced analytics and alternative data?