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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.
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.
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. Debt breakdown 2.
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.
By focusing so much attention on a small subset of companies, you risk developing tunnel vision, especially when doing peer group comparisons. 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 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.
An Optimizing Tool In my second and third data posts for this year, I chronicled the effects of rising interest rates and riskpremiums on costs of equity and capital. In computing the latter, I used the current debt ratios for firms, but made no attempt to evaluate whether these mixes were "right" or not.
Kevin holds an MBA in finance from Georgia State University and a Bachelors in Chemical Engineering from the Georgia Institute of Technology. Gianfala is a Vice President of the Valuation Advisory group with over 15 years of experience in accounting, corporatefinance, and business valuations.
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.
The AI story, before DeepSeek The AI story has been building for a while, reflecting the convergence of two forces in technology - more computing power, often in smaller and smaller packages, and the accumulation of data, on technology platforms and elsewhere. What is it that makes the DeepSeek story so compelling?
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