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Alm Brand A/S (OCSE:ALMB) Beta : 0.89 (As of May. 17, 2024)


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What is Alm Brand A/S Beta?

Beta is the sensitivity of the expected excess asset returns to the expected excess market returns. As of today (2024-05-17), Alm Brand A/S's Beta is 0.89.


Alm Brand A/S Beta Historical Data

The historical data trend for Alm Brand A/S's Beta can be seen below:

* For Operating Data section: All numbers are indicated by the unit behind each term and all currency related amount are in USD.
* For other sections: All numbers are in millions except for per share data, ratio, and percentage. All currency related amount are indicated in the company's associated stock exchange currency.

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Alm Brand A/S Beta Chart

Alm Brand A/S Annual Data
Trend Dec14 Dec15 Dec16 Dec17 Dec18 Dec19 Dec20 Dec21 Dec22 Dec23
Beta
Get a 7-Day Free Trial Premium Member Only Premium Member Only 0.54 0.81 0.75 0.86 0.83

Alm Brand A/S Quarterly Data
Jun19 Sep19 Dec19 Mar20 Jun20 Sep20 Dec20 Mar21 Jun21 Sep21 Dec21 Mar22 Jun22 Sep22 Dec22 Mar23 Jun23 Sep23 Dec23 Mar24
Beta Get a 7-Day Free Trial Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only Premium Member Only 0.76 0.75 0.75 0.83 -0.62

Competitive Comparison of Alm Brand A/S's Beta

For the Insurance - Diversified subindustry, Alm Brand A/S's Beta, along with its competitors' market caps and Beta data, can be viewed below:

* Competitive companies are chosen from companies within the same industry, with headquarter located in same country, with closest market capitalization; x-axis shows the market cap, and y-axis shows the term value; the bigger the dot, the larger the market cap. Note that "N/A" values will not show up in the chart.


Alm Brand A/S's Beta Distribution in the Insurance Industry

For the Insurance industry and Financial Services sector, Alm Brand A/S's Beta distribution charts can be found below:

* The bar in red indicates where Alm Brand A/S's Beta falls into.



Alm Brand A/S Beta Calculation

Beta is the sensitivity of the expected excess asset returns to the expected excess market returns. A stock's beta can be calculated by dividing the product of the covariance of the individual stock's returns and the market's returns by the variance of the market's returns over a specified period. Basically, GuruFocus uses the returns calculated over three-year period.


Alm Brand A/S  (OCSE:ALMB) Beta Explanation

Beta is a measure of the volatility, or systematic risk, of a security or a portfolio in comparison to the market as a whole. We usually compare beta to 1. A beta of 1 indicates that the security's price will move with the market. A beta of less than 1 means that the security will be less volatile than the market. A beta of greater than 1 indicates that the security's price will be more volatile than the market.

Beta is primarily used in the Capital Asset Pricing Model (CAPM) to calculate the Cost of Equity, which can be used in the calculation of WACC %. The formula of Cost of Equity is:
Cost of Equity = Risk-Free Rate of Return + Beta of Asset * (Expected Return of the Market - Risk-Free Rate of Return)


Alm Brand A/S Beta Related Terms

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Alm Brand A/S (OCSE:ALMB) Business Description

Traded in Other Exchanges
Address
Midtermolen 7, Copenhagen, DNK, DK-2100
Alm Brand A/S is a Danish investment holding company that its subsidiaries operate within the financial services, non-life insurance, life insurance, and banking industries. The non-life insurance segment exclusively services clients ranging from private customers to small and medium-size enterprises, among others. The life insurance segment offers life insurance, pension savings, and pension insurance. The banking segment offers services such as bond, equity, currency trading, asset servicing, leasing, and private banking to private and commercial clients. The non-life insurance business is the core business of the firm and generates a vast majority of its income.

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