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Beta & Risk 1. Equity RiskPremiums 2. I also have implied equity riskpremiums (forward-looking and dynamic estimate of what investors are pricing stocks to earn in the future) for the S&P 500 going back annually to 1960 and monthly to 2008, and equity riskpremiums for countries.
In my last three posts, I looked at the macro (equity riskpremiums, default spreads, risk free rates) and micro (company risk measures) that feed into the expected returns we demand on investments, and argued that these expected returns become hurdle rates for businesses, in the form of costs of equity and capital.
When valuing or analyzing a company, I find myself looking for and using macro data (riskpremiums, default spreads, tax rates) and industry-level data on profitability, risk and leverage. I do report on a few market-wide data items especially on riskpremiums for both equity and debt. Cost of Equity 1.
In short, if you don't like betas and have disdain for modern portfolio theory, your choice should not be to abandon risk measurement all together, but to come up with an alternative risk measure that is more in sync with your view of the world.
Thus, as you peruse my historical data on implied equity riskpremiums or PE ratios for the S&P 500 over time, you may be tempted to compute averages and use them in your investment strategies, or use my industry averages for debt ratios and pricing multiples as the target for every company in the peer group, but you should hold back.
In the first five posts, I have looked at the macro numbers that drive global markets, from interest rates to riskpremiums, but it is not my preferred habitat. The second set of inputs are prices of risk, in both the equity and debt markets, with the former measured by equity riskpremiums , and the latter by default spreads.
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