๐Ÿ‘ฝFuture Improvements

Areas to be addressed for further stabilization of the model

This sheet will be further updated with PB Model in the coming weeks.

Latest Version : As tracked by Google sheet

Rebalancing of methodology, weightage and score through volume testing

- There are no reference models available for the ESG rating of Digital Assets. This is one of the first and few attempts.

- The methodology, weightage, and scoring must be further stabilized through volume testing to establish the resilience of the model through various data samples and situations.

- 60% of overall attributes across Manual & GSRM tabs require stabilization

- Testing 15 Cardano Digital Assets will reasonably stabilize the majority of indicators for Cardano

- However, the model must be tested using a variety of industries, impact types, and blockchain types in the subsequent stages

The Crypto Industry and the Digital Assets under consideration are in their infancy

- The data available are very limited.

- Some of the key concepts, designs, and performance in the crypto industry are far from standardized.

- Innovations and inventions are rapidly happening and the model must keep up with them closely.

- DAs are assessed based on their โ€˜intentโ€™ or โ€˜prospectusโ€™ rather than their actual performance.

- Typical businesses and impact funds are assessed based on their performance which are disclosed either as part of regulation or published authorized material.

- The model must cater to DAs in different stages of the life cycle in the future.

Critical Review, challenge, and diversity of thought-process are key

- Currently it reflects one team's thoughts. Thorough review; collaborative debates; challenging the model and scoring methodology; and bringing the diversity of thought-process from different angles are extremely important for an industry rating system.

Next steps:

  • Review, feedback loops

  • Resolve ""Pending Items"" in Manual & GSRM Models

  • Devise an approach for ASLCA-DPSIR method or alternate mechanism to arrive at PB Product performance

  • Accordingly include the PB dimension to this model

  • Devise overall rating scales and dashboards.

  • Test and rebalance the model (Manual + Traditional ESG + PB Product Performance) thoroughly by running it through more Digital Assets.

  • Publish final dashboards

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