Ellsberg Paradox
People prefer to take risks in situations where the odds are known, rather than a scenario where the odds are unknown - even when the latter scenario has the guarantee of a positive outcome (its just that the magnitude of the outcome is unknown). Its often used to evaluate how people have an aversion to ambiguity.
Where do the traditional financial tools fall short ?
In traditional investing, the most common financial tool for valuing a company is DCF model (discounted cash flow model). Under this methodology, investors attempt to accurately model out the discrete financial metrics of a company over a finite period of time, and discount the cash flow generated to determine the appropriate valuation for a company.
The issue is though that in real investing, businesses have embedded options which have unknown outcomes everywhere. DCF is terrible at valuing these businesses which have both : 1. uncertain payoff magnitude and 2. uncertain timing as to when it will occur. Examples of such options :
- Amazon is able to extend its dominance on one ecommerce category(books) to multiple categories
- Amazon is able to extend its dominance in ecommerce to build the largest retail search engine in the world and draw advertising dollars
- Google is able to leverage its technology prowess in building scalable and reliable search infrastructure to build Google Cloud and democratize building distributed systems technology. Same for AWS and Azure
- Apple launching Wearables segment (Watch, airpods, etc) using its expertise in building iphones
Some of the parameters to evaluate such businesses are
Management
- Superior capital allocation
- Access to cheap capital from markets or through high profit margin businesses
- Execution track record
- Ability attract top talent in the industry
Business
- Strong moat
- Economies of scale
- Economies of scope
Evolving markets
- New trends of user behavior and patterns
- Uncertainty
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