Fixed income securities traditionally include bonds, treasuries, and other debt instruments. When evaluating these securities, asset managers estimate creditworthiness and risk-return characteristics, yield curves, interest rates, and macroeconomic factors.
On June 2nd, 2022, we hosted a focused 1-hour webinar to update funds and investors on the latest data and use cases relating to alternative data for macro applications.
Access to accurate and timely information is the lifeblood of the insurance industry, and alternative sources of data can contribute to success on a range of fronts including underwriting, risk mitigation, and claims management.
On Thursday, April 15th, 2021 we held a workshop deep-dive following the success of our February Hackathon event in February where teams of data hackers competed against each other using a mix of datasets provided by Eagle Alpha data partners.
Investors are looking for alternative data that can help assess the debt market. Alternative data such as consumer transaction data, B2B invoice data, loan data, and web traffic data could all be applied to credit markets.
Many alternative datasets can be applied to the credit markets as they would be applied to the equity market. For example:
Expert Hub contributor Professor Ben Lourie co-authored a paper that was published in June 2020. The abstract from the paper is below and a copy of the full paper is attached.
This case study deck outlines alternative datasets that can be used by macroeconomic investors and funds.
The workshop was split into two topics: Trade data and jet tracking data. The workshop also had some brief comments on the class action lawsuit against Yodlee.
Back in January of this year a letter from US lawmakers called for an investigation by the FTC into Yodlee and its parent Envestnet “to determine whether the company’s sale of sensitive financial transaction data from tens of millions of Americans violates the FTC Act”.
In this paper, the authors use unique and proprietary data from a large Fintech lender to analyze whether alternative data captured from an individual’s mobile phone can substitute for traditional credit bureau scores. Their analysis suggests marginal benefit of using alternative data.
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Eng Admin
