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    • About Us

      Who We Are

      Equarius Risk Analytics is a data platform AI/ML company focused on financial risk analysis in portfolios with holdings exposed to water/climate risk.

       

      Our index platform provides mainstream financial risk metrics capturing embedded water risk through a volatility risk premium. Our patent-pending learning algorithms were developed with The University of Michigan (UM) and LimnoTech, an environmental services firm. Equarius Risk Analytics has secured an all fields of use license from UM.

       

      Our quantitative analytics and finance team is focused on understanding the impact of water and weather risks on equities in the capital markets. Our data platforms are used to structure indices to integrate water risk in active and passive portfolios, and to inform corporate water risk management.

      Our Partners

      ERA collaborates with index providers (e.g. MSCI, Limeyard, S-Network Global Indexes), data providers (e.g. CDP, FactSet, Bloomberg), financial asset managers (e.g. Dana Investment Advisors, Credit Suisse, UBS), and non-profit organizations (e.g. WRI, WWF, Ceres) to provide solutions that can align financial metrics with corporate water risk exposures to build resiliency and sustainability.

    • AI/ML Risk Pricing Platform

      Managing Fat Tails from Water Exposure

    • Our Platform

      Water Alpha - Water Risk Indexes - Corporate Risk Management

      1

      Financial

      Volatility

      Short-term Value-at-Risk (VaR) signals relative to sector benchmarks

      2

      Corporate Accounting

      Corporate efficiency ratios, cost of capital and growth metrics

      3

      Intangibles Impacts

      Financial and unstructured water risk disclosures

      4

      waterBeta Analytics

      Algorithmic signal processing for water and weather based volatility

    • Services

      Equity Risk for Indexing Firms, Asset Managers & Solutions Providers

      Financial Volatility

      Value at risk signaling

      Since water and weather risk have short term and extreme effects on share prices, value at risk (VaR) metrics are calculated on the security and benchmarked in its GICS industry. Assessment of systemic vs. diversifiable risk impacts.

      Water Risk Exposure

      Financial and economic productivity impacts

      Each company's regional asset exposure to water and weather risk is quantified in a financial context (economic productivity, operations) to understand asset intensity and risk management impacts

      Intangibles Analysis

      Financial and unstructured data analysis

      Groundtruthing of financial risk probabilities is essential to inform asset allocation strategies. Natural language processing (NP) of textual data from required, voluntary and informal disclosures is used to adjust risk exposures.

      waterBeta Factor Investing

      Informed decisions for active and passive managers

      Company-specific waterBeta serves to understand volatility risk premiums in portfolios, and can be structured to adjust/tilt allocations to uncover alpha in industry verticals. We design, test, and license indices.

      Corporate Water Risk Feedback

      Actionable financial intelligence for CRM

      Factor analysis used to structure capital markets water exposure can be used to engage corporations and inform risk management strategies.

    • Product Description

      Click on SlideShare to Learn about waterBeta

    • Management and Technical Team

      Peter Adriaens PhD PE

      Cofounder and CEO

      Product development;

      Director, Center for Smart Infrastructure Finance, The University of Michigan

      Greg Peterson MS

      Cofounder and COO

      Operations management and strategic decision-making; Executive VP of LimnoTech

      Anthony Arnold MSE

      Technical specialist

      Risk analysis and metrics; Financial and water data analysis; Statistics

      Tad Slawecki MS

      Information Architect

      Software Development: VaR analytics; Database architecture design; Python/Java; GIS models; Machine learning

      Iulia Mogosanu MBA

      Financial Analyst

      Risk management and corporate financials, UniCredit Bank; Huron River Ventures; Amazon; Lurie Commercialization Fund

      Noemi Barabas, PhD

      Risk Assessment

      Python modeling; Multivariate statistics; Big data analytics; Machine learning.

    • Advisory Board

      Paul Freedman

      Investor

      co-Founder of LimnoTech; Past President, Water Environment Federation; 40 years of corporate/public business development

      Tim Dekker

      Investor

      President of LimnoTech; 20 years hydrological modeling expertise; multi-variate statistics; 10 years corporate & public water/climate project development

      Michael Davidoff

      Business Development

      Vice President, Senior Investment Officer, Bank of Ann Arbor; Equity Research, Wells Capital Mgmt; Equity Analyst, Thomson Horstmann & Bryant

      Lydia Miller MBA

      Development Partner

      Senior Vice President and portfolio specialist at Dana Investment Advisors; portfolio allocation, risk management, and ESG investment strategies

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