Iridium unveils machine learning algorithms that decode the value of IRs
By Edil Corneille
Dubai-based Iridium Advisors has apprised that the quality of investor relations can add up to 24.2 percent to a listed company’s market capitalisation, according to its new data science project. The project uses four different machine learning algorithms to calculate the impact of 30 financial and non-financial valuation drivers. They were deployed to consider 30 risk and return metrics, compiled from over 9 million data points, and covering 673 banks globally.
Oliver Schutzmann, CEO of Iridium Advisors explicated, “Many boards and management teams in emerging markets have not yet invested sufficiently in investor relations because they do not fully understand the value it adds. To this background, we sought to take a scientific and systematic approach to show how the business value they create can be translated into market value, and thereby quantify the value of investor relations. With the insights gained from Iridium Quant Lens Machine Learning algorithms, we can now help business leaders understand what exactly drives their market value and show them how to unlock material valuation potential.”
The Iridium Quant Lens machine learning (ML) platform was built on the foundations of classic finance theory that a company’s stock price is derived through an evaluation of risk relative to return factors by equity market participants. The Quant Lens algorithms were run separately for all banks and for 65 GCC banks over different time horizons ranging from 1 to 10 years.
The company mentioned that the algorithms proved successful in decomposing valuation drivers and, in aggregate, explained 86 percent of valuation variability for the test data set and 91 percent of the full data set. Furthermore, some individual models, such as the 3-year models for GCC banks, explained 95 percent of the test data set and 98 percent of the full data set.
For GCC banks, the quality of investor relations – based on the classification into IR-Agnostic, IR-Basic, and IR-Emerging archetypes – is a highly material factor consistently influencing valuations. The study found that for most models it was the third most important factor impacting price to tangible book value (P/TBV) and explained 6 percent of share price variability on average.
The impacts of upgrading investor relations are significant, with each upgrade step in a 2-stage upgrade path, commanding a 12 percent valuation premium on average and a complete move along the investor relations upgrade path adding 24 percent to market capitalization.
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