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If you have been reading my posts, you know that I have an obsession with equity riskpremiums, which I believe lie at the center of almost every substantive debate in markets and investing. That said, I don't blame you, if are confused not only about how I estimate this premium, but what it measures.
The other is the dangerous notion that measuring risk is the same as managing that risk and, in some cases, the even more insane view that it removes that risk. In corporatefinance, this takes the form of a hurdle rate , a minimum acceptable return on an investment, for it to be funded.
CorporateFinance : Corporatefinance is the development of the first financial principles that govern how to run a business. It is that mission that makes corporatefinance the ultimate big picture class, one that everyone (entrepreneurs, investors, analysts, business observers) should take.
Check rules of thumb : Investing and corporatefinance are full of rules of thumb, many of long standing. 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. Return on Equity 1.
The first is that I do not have a macro focus, and my interests in macro variables occur only in the context of corporatefinance or valuation issues. In the same dataset where I compute historical equity riskpremiums, I report historical returns on corporate bonds in two ratings classes (Moody’s Aaa and Baa ratings).
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.
The Taxation of Investment Income In much of the world, income from investments (interest, dividends) is treated differently than earned income (salary, wages), by the tax code, and the reasons for the divergence are both practical and political: 1.
A few of these variables are macro variables, but only those that I find useful in corporatefinance and valuation, and not easily accessible in public data bases. Rather than replicate that data, my macroeconomic datasets relate to four key variables that I use in corporatefinance and valuation.
I have also developed a practice in the last decade of spending much of January exploring what the data tells us, and does not tell us, about the investing, financing and dividend choices that companies made during the most recent year. Beta & Risk 1. Dividends and Potential Dividends (FCFE) 1. Debt Details 1.
In particular, there are wide variations in how risk is measured, and once measured, across companies and countries, and those variations can lead to differences in expected returns and hurdle rates, central to both corporatefinance and investing judgments.
In corporatefinance and investing, which are areas that I work in, I find myself doing double takes as I listen to politicians, market experts and economists making statements about company and market behavior that are fairy tales, and data is often my weapon for discerning the truth. Beta & Risk 1. Equity RiskPremiums 2.
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. A few years ago, I wrote a paper for practitioners on the cost of capital , where I described the cost of capital as the Swiss Army knife of finance, because of its many uses.
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