Lanvin Group Stock Forward View - Double Exponential Smoothing

LANV Stock   1.63  -0.07  -4.12%   
This reference page presents Double Exponential Smoothing forecast data for Lanvin Group Holdings. The projected values and error metrics are presented below as reference information. The output values and deviation metrics are provided for informational reference.
The Double Exponential Smoothing forecasted value of Lanvin Group Holdings on the next trading day is expected to be 1.62 with a mean absolute deviation of 0.08 and the sum of the absolute errors of 4.69.When Lanvin Group Holdings prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Lanvin Group Holdings trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Lanvin Group observations are given relatively more weight in forecasting than the older observations. This Double Exponential Smoothing forecast data for Lanvin Group Holdings is sourced from the most recent available trading data and is intended solely as reference information.
Double exponential smoothing - also known as Holt exponential smoothing is a refinement of the popular simple exponential smoothing model with an additional trending component. Double exponential smoothing model for Lanvin Group works best with periods where there are trends or seasonality.

Double Exponential Smoothing Price Forecast For the 26th of March

Given 90 days horizon, the Double Exponential Smoothing forecasted value of Lanvin Group Holdings on the next trading day is expected to be 1.62 with a mean absolute deviation of 0.08 , mean absolute percentage error of 0.01 , and the sum of the absolute errors of 4.69 .
Please note that although there have been many attempts to predict Lanvin Stock prices using its time series forecasting, we generally do not suggest using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Lanvin Group's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Stock Forecast Pattern

Backtest Lanvin Group  Lanvin Group Price Prediction  Research Analysis  

Forecasted Value

This next-day forecast for Lanvin Group Holdings uses model performance to estimate practical downside and upside boundaries rather than a single point target alone. The projected forecast band currently runs from roughly 0.02 on the downside to about 8.32 on the upside.
Market Value
1.63
1.62
Expected Value
8.32
Upside

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Double Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of Lanvin Group stock data series using in forecasting. Note that when a statistical model is used to represent Lanvin Group stock, the representation will rarely be exact; so some information will be lost using the model to explain the process. AIC estimates the relative amount of information lost by a given model: the less information a model loses, the higher its quality.
AICAkaike Information CriteriaHuge
BiasArithmetic mean of the errors 0.015
MADMean absolute deviation0.0781
MAPEMean absolute percentage error0.0471
SAESum of the absolute errors4.6886
When Lanvin Group Holdings prices exhibit either an increasing or decreasing trend over time, simple exponential smoothing forecasts tend to lag behind observations. Double exponential smoothing is designed to address this type of data series by taking into account any Lanvin Group Holdings trend in the prices. So in double exponential smoothing past observations are given exponentially smaller weights as the observations get older. In other words, recent Lanvin Group observations are given relatively more weight in forecasting than the older observations.

Other Forecasting Options for Lanvin Group

Lanvin Group's daily price returns can be decomposed into trend, seasonal, and residual components. Divergence between short-term and long-term averages in Lanvin often signals an upcoming reversal or acceleration. Gap analysis of Lanvin Stock data examines overnight jumps between Lanvin Group's closing and opening prices.

Lanvin Group Related Equities

These related stocks within the Consumer Discretionary space give benchmarks for judging Lanvin Group's results, margins, and growth trend. Profit comparisons show whether Lanvin Group earns above or below average returns next to its peers. Falling behind peers on key ratios may signal headwinds or execution issues worth looking into. Combining quantitative ratios with qualitative context such as management quality and market position sharpens peer comparisons.
 Risk & Return  Correlation

Lanvin Group Market Strength Events

Market strength indicators help investors evaluate how Lanvin Group stock reacts to evolving market conditions. These indicators help determine optimal entry and exit points for trading Lanvin Group Holdings. These indicators can identify periods when trading Lanvin Group Holdings may offer more favorable risk-reward conditions.

Lanvin Group Risk Indicators

The analysis of Lanvin Group's basic risk indicators is one of the essential steps in accurately forecasting its future price. Understanding the risk involved in holding Lanvin Group's allows investors to make informed decisions about their exposure. The analysis of Lanvin Group's basic risk metrics provides a foundation for managing investment risk.
Please note, the risk measures we provide can be used independently or collectively to perform a risk assessment. When comparing two potential investments, we recommend comparing similar equities with homogenous growth potential and valuation from related markets to determine which investment holds the most risk.

Story Coverage note for Lanvin Group

Coverage intensity for Lanvin Group Holdings matters because narrative visibility can influence sentiment, participation, and volatility around the name. This is most useful when investors want to understand why a security is suddenly drawing more public discussion.

Lanvin Group Short Properties

Reviewing short-oriented indicators for Lanvin Group Holdings is useful because long and short participants often create very different signals for timing and volatility. The stronger read compares short sentiment with trend behavior, volume, and the broader market narrative.
Common Stock Shares Outstanding117.3 M
Cash And Short Term Investments18 M

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