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Beta & Risk 1. Equity RiskPremiums 2. Standard Deviation in Equity/Firm Value 2. BookValue Multiples 3. Since this is reflecting of what investors in the market have access to at the start of 2024, it fulfils my objective of being the most updated data, notwithstanding the timing mismatch.
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.
For example, I have seen it asserted that a stock that trades at less than bookvalue is cheap or that a stock that trades at more than twenty times EBITDA is expensive. I do report on a few market-wide data items especially on riskpremiums for both equity and debt. Equty RiskPremiums, by Country 4.
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 this post, I will expand my analysis of data in 2024, which has a been mostly US-centric in the first four of my posts, and use that data to take you on my version of the Disney ride, but on this trip, I have no choice but to face the world as is, with all of the chaos it includes, with tariffs and trade wars looming.
Measuring the Debt Burden With that tradeoff in place, we are ready to examine how it played out in 2024, by looking at how much companies around the world borrowed to fund their operations. Note that the divergence between book and market debt ratios in the last two columns varies widely across sectors and regions.
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