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Laurent-Perrier (XPAR:LPE) Volatility : 12.26% (As of May. 20, 2024)


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What is Laurent-Perrier Volatility?

Volatility is a statistical measure of the dispersion of returns for a given security or market index, it shows how the price swings around its mean. The volatility here is measured as the annualized standard deviation between monthly returns from the security over the past year. In most cases, the higher the volatility, the riskier the security.

As of today (2024-05-20), Laurent-Perrier's Volatility is 12.26%.


Competitive Comparison of Laurent-Perrier's Volatility

For the Beverages - Wineries & Distilleries subindustry, Laurent-Perrier's Volatility, along with its competitors' market caps and Volatility 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.


Laurent-Perrier's Volatility Distribution in the Beverages - Alcoholic Industry

For the Beverages - Alcoholic industry and Consumer Defensive sector, Laurent-Perrier's Volatility distribution charts can be found below:

* The bar in red indicates where Laurent-Perrier's Volatility falls into.



Laurent-Perrier  (XPAR:LPE) Volatility Calculation

The annualized volatility is calculated as following:

σA=σM * 12
= 1/(n-1) ∑(Ri - R')^2 * 12

Where: σM is the monthly volatility, n is the number of months in the period, Ri is the security's historical monthly returns and R' is the arithmetic mean of monthly returns.

* 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.


Laurent-Perrier  (XPAR:LPE) Volatility Explanation

Volatility is a statistical measure of the dispersion of returns for a given security or market index. It’s often measured as standard deviation or variance of historical returns over a certain period. The volatility here is measured as the annualized standard deviation between monthly returns from the security over the past year.

Volatility reflects the uncertainty or risk of a security’s value. Generally speaking, a higher volatility suggests a higher risk, because it implies a wider fluctuation around average price. This means the price of the security can change dramatically in either direction within a short period. Conversely, a lower volatility means that the security's price is more steady, which suggests a lower risk.

Another measurement of relative volatility is Beta. Beta is a measure of systematic risk of a security or a portfolio in comparison to the market as a whole. Beta is usually compared to 1. A beta of greater than 1 indicates that the security's price will be more volatile than the market.


Laurent-Perrier Volatility Related Terms

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Laurent-Perrier (XPAR:LPE) Business Description

Traded in Other Exchanges
Address
32, Avenue de Champagne, Tours-sur-Marne, FRA, F-51150
Laurent-Perrier is a French company which is active in the production and sale of champagne. The company's products are sold under four main brands namely LaurentPerrier, Salon, Delamotte, and Champagne de Castellane. It exports its products through specialized distribution channels such as cafes, hotels and restaurants, wine merchants, and direct sales. The company has organized its business into three different types of entity i.e. champagne houses including Champagne Laurent Perrier and Champagne de Castellane; distribution subsidiaries or subsidiaries or branches in France and several foreign markets and vineyards, held either directly through real-estate companies. The company generates its revenue through wholesale sales to distributors and agents and retail sales.

Laurent-Perrier (XPAR:LPE) Headlines

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