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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.
Definition of Equity RiskPremium. It is the difference between expected returns from the stock market and the expected returns from risk-free investments. What Impacts the Equity RiskPremium? Dividends . How Do You Calculate Equity RiskPremium? Dividend model ? Earnings model ?
The first is the dividends you receive, while you hold stocks, a cash flow stream that provides a measure of stability to investors who seek it. It too requires estimate for inputs, but the range of error is magnitudes smaller than with historical premiums. Actual Returns Your returns on equities come in one of two forms.
When you augment this price change with the dividends on the index during 2021, the total return on the S&P 500 for 2021 was 28.47%. With equities, the cash flows take the form of dividends and buybacks, and in addition to estimating them using future growth rates, you have to assume that they continue in perpetuity.
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 this post, I will start with a working definition of riskt that we can get some degree of agreement about, and then look at multiple measures of risk, both at the company and country level. In closing, I will talk about some of the more dangerous delusions that undercut good risk taking. What is risk?
That said, it is my experience with markets that has also made me skeptical about the over selling of both notions, since we have an entire branch of finance (behavioral finance/economics) that has developed to explain how more data does not always lead to better decisions and why crowds can often be collectively wrong.
Check rules of thumb : Investing and corporate finance 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. Goodwill & Impairment 4.
In this post , I argued that one of the key dividing lines between the two groups was flexibility , with companies with more flexible investing, financing and dividend policies winning out over companies with more rigidity on those dimensions. for mature markets.
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 first is that I do not have a macro focus, and my interests in macro variables occur only in the context of corporate finance 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).
Corporate Finance : Corporate finance is the development of the first financial principles that govern how to run a business. It is that mission that makes corporate finance the ultimate big picture class, one that everyone (entrepreneurs, investors, analysts, business observers) should take. Of course, but with two caveats.
They give a vision of the company, which must be supplemented by other approaches to address the "true" price, which will result from the negotiation, i.e., the amount accepted by the assignor and financed by the buyer. . . Thus two companies with the same level of results but different future performance risks will have different values.
In the world of finance and investing, the concept of beta plays a vital role in assessing an investment’s risk and volatility. Beta, in finance, is a measure of a stock or portfolio’s sensitivity to market movements. What is beta and how do you calculate beta?
In this post, I look at risk, a central theme in finance and investing, but one that is surprisingly misunderstood and misconstrued. That said, and notwithstanding decades of research and debate on the topic, there are still wide differences in how risk is defined and measured. What is risk?
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.
In corporate finance 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.
Equity is cheaper than debt: There are businesspeople (including some CFOs) who argue that debt is cheaper than equity, basing that conclusion on a comparison of the explicit costs associated with each interest payments on debt and dividends on equity.
Thus, my estimates of equity riskpremiums, updated every month, are not designed to make big statements about markets but more to get inputs I need to value companies. In the table below, I show my estimates of the implied equity riskpremium for the S&P 500 at the start of every month, since January 2024, and on March 14, 2025.
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