Business

Levered Beta

Levered beta refers to the measure of a company's systematic risk, or beta, after accounting for its financial leverage. It reflects the impact of debt on the company's overall risk and is used to assess the risk-adjusted return potential of an investment in the company's stock. A higher levered beta indicates greater sensitivity to market movements due to the influence of debt.

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3 Key excerpts on "Levered Beta"

  • Corporate Value Creation
    No longer available |Learn more

    Corporate Value Creation

    An Operations Framework for Nonfinancial Managers

    • Lawrence C. Karlson(Author)
    • 2015(Publication Date)
    • Wiley
      (Publisher)
    13
  • In practical terms, if a company has a Beta of 1.2, then the return on that company's security varies 1.2% for every 1% change in the index.
  • As a company takes on debt, it places obligations ahead of the equity holders. The interest and debt amortization have to be serviced from the company's cash flow. This results in an increase in the company's systematic risk and a corresponding increase in the company's Beta. A company with no debt has an unlevered equity Beta. Conversely, a company with debt has a levered equity Beta.
    The relationship between the unlevered and Levered Betas is expressed by Equations [3-31] and [3-32]:14
    [3-31]
    [3-32]
    where:
    • Beta
      L
      = The levered equity Beta
    • Beta
      U
      = The unlevered equity Beta
    • TR = The marginal tax rate of the corporation
    • B = Market value of the debt of the company under consideration
    • E = Market value of the equity of the company under consideration
    As can be seen from these equations, if the company doesn't have any debt, the value of B/E = 0, Beta
    U
    = Beta
    L,
    and there is no need to be concerned about which Beta one is talking about. However, in the real world, companies have debt and as the B/E ratio increases, the risk profile of the company changes and Beta increases as a result of the leverage.

    Estimating Beta for Non-Public Companies or Business Units

    As mentioned earlier, Beta for public companies is readily available from various sources. Obtaining a value for Beta can be problematic if the company in question is not publicly traded. Two of the most straightforward techniques that can be used to estimate a Beta for a division, business unit, or private company are “industry comparisons” and “comparable companies.” More sophisticated techniques such as “multiple regression” and “covariance of earnings” exist but are beyond the scope of this book.

    Industry Comparisons

    This technique is quite simple. A group of managers are asked to look at a list of industries and select the industry with the risk profile most like their own business or division. After an iterative process, the group usually agrees on the most appropriate industry. Using this technique, the Beta of the industry selected by the managers is the Levered Beta of their business or division. (The industry Beta will almost always be levered because it is composed of a wide cross-section of companies, many of which will have debt.) Once the Levered Beta has been established the next step is to decide on what the tax rate and ratio of debt to equity this industry Beta represents. This can be done by taking an average of the industry companies that you think are most representative of the business or division in question and then using Equation [3-32] to calculate the unLevered Beta of the representative companies. This is the unLevered Beta for the company or division in question. If the company or division under consideration has debt, then the Levered Beta is obtained by substituting the relevant Debt-to-Equity ratio and Tax Rate into Equation [3-31].
  • Risk-Based Investment Management in Practice
    A popular measure of leverage is to compare the face value of the investments with the underlying amount invested. This captures leverage due to borrowing, but ignores the effects of uncovered derivatives positions and investments in geared and high beta or high duration assets. Its measure is often used to compare the portfolio’s leverage to the limits defined by the investment mandate or applicable regulation. Limits expressed this way have the big disadvantage that they are easy to circumvent.
    Borrowing is relatively easy to measure, but derivative exposure often isn’t, especially if long and short positions offset only approximately (for example a five-year bond future versus a shorter two-year bond future); call versus put options, and so on. Capturing the underlying gearing in individual assets can be even trickier.
    A robust measure is to take direct account of the portfolio’s exposure to its market by measuring its beta to the risky asset in question, such as the equity market, for an equity portfolio; or duration relative to some comparator bond, such as a ten-year government issue, for a bond portfolio. This approach can capture all sources of leverage and can be measured using publicly available information such as past asset prices and bond terms and conditions. It cannot easily be circumvented.
    While beta to the market is the most robust means of gauging the leverage of an equity portfolio, it is not fool-proof. Betas are estimates that depend on the sample data from which they are computed. Yet, while an error is almost inevitable, it is usually small compared to the systematic error that often biases the face-value measure of leverage.
    Currency exposure
    Estimates of portfolio exposure to currency fluctuations are used to calculate the amount needed to hedge the portfolio back to its base currency. Currency exposure is usually given by the sum of the face value of assets denominated in each currency. But this confounds the sum of portfolio weights in assets denominated in a particular currency with the portfolio’s exposure to the currency. To see why, consider Toyota, a Japanese carmaker. The face value method tells us that Toyota has exposure to the Japanese Yen and to no other currency. Yet casual observation contradicts this, as the vast majority of its sales and a large proportion of its manufacturing takes place outside Japan. Nestlé, which is exposed to fluctuations in currencies other than the Swiss Franc, is a similar example, as are many other firms.
  • Financial Management
    eBook - ePub

    Financial Management

    An Introduction

    • Jim McMenamin(Author)
    • 2002(Publication Date)
    • Routledge
      (Publisher)
    m ) — which in turn is the standard deviation of the market's returns squared, that is:
    The returns on a suitable stock market index can be used as a proxy for the market returns. For example, substituting the FTSE 100 Share Index, the beta (β) of a share (S) would be calculated as:
    As the covariance of each individual share is divided by a common denominator, the variance of the market (Varm ) or a suitable surrogate market index, we end up with a standardised measure of risk , that is, the share's beta. Being a standardised measure we are able to directly compare the beta of one share with the beta of another.
    Portfolio betas
    We have learned that a share's beta represents only part of a share's risk, namely the element of systematic or market risk, which is the risk element that cannot be diversified away. When it comes to including a share in a portfolio we are only concerned with the impact of that share's market risk on the portfolio risk. In a portfolio context market risk is also the only relevant risk and beta is its best measure. The portfolio beta measures the portfolio's responsiveness to macroeconomic variables such as inflation and interest rates.
    To determine the systematic risk for a portfolio, that is the portfolio beta, we simply calculate a weighted average of the betas of the individual securities making up the portfolio, as follows:2
    where,
    Clearly the systematic risk (beta) of the portfolio will depend on the betas of the individual securities making up the portfolio. If all the individual securities in the portfolio have high betas then the portfolio beta will be high and vice versa. The portfolio beta is interpreted in the same way as the beta for an individual security. Being aware of this allows investors to create portfolios that match their risk—return preferences.
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