Amundi Label Fund Forecast - Naive Prediction

Summary

0P0000GHOY

169.05 0.00 0.00%

The Naive Prediction forecasted value of Amundi Label Equilibre on the next trading day is expected to be 167.07 with a mean absolute deviation of 0.57 and the sum of the absolute errors of 34.85. Investors can use prediction functions to forecast Amundi Label's fund prices and determine the direction of Amundi Label Equilibre's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.

A naive forecasting model for Amundi Label is a special case of the moving average forecasting where the number of periods used for smoothing is one. Therefore, the forecast of Amundi Label Equilibre value for a given trading day is simply the observed value for the previous period. Due to the simplistic nature of the naive forecasting model, it can only be used to forecast up to one period.

More About Naive Prediction All Equity Analysis

Amundi Label Naive Prediction Price Forecast For the 7th of January

Given 90 days horizon, the Naive Prediction forecasted value of Amundi Label Equilibre on the next trading day is expected to be 167.07 with a mean absolute deviation of 0.57, mean absolute percentage error of 0.48, and the sum of the absolute errors of 34.85.

Please note that although there have been many attempts to predict Amundi Fund prices using its time series forecasting, we generally do not recommend using it to place bets in the real market. The most commonly used models for forecasting predictions are the autoregressive models, which specify that Amundi Label's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

Amundi Label Fund Forecast Pattern

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Naive Prediction forecasting method's relative quality and the estimations of the prediction error of Amundi Label fund data series using in forecasting. Note that when a statistical model is used to represent Amundi Label fund, 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.

AIC	Akaike Information Criteria	117.3781
Bias	Arithmetic mean of the errors	None
MAD	Mean absolute deviation	0.5713
MAPE	Mean absolute percentage error	0.0034
SAE	Sum of the absolute errors	34.8487

This model is not at all useful as a medium-long range forecasting tool of Amundi Label Equilibre. This model is simplistic and is included partly for completeness and partly because of its simplicity. It is unlikely that you'll want to use this model directly to predict Amundi Label. Instead, consider using either the moving average model or the more general weighted moving average model with a higher (i.e., greater than 1) number of periods, and possibly a different set of weights.

Predictive Modules for Amundi Label

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as Amundi Label Equilibre. Regardless of method or technology, however, to accurately forecast the fund market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the fund market accurately is still an essential part of the overall investment decision process. Using different forecasting techniques and comparing the results might improve your chances of accuracy even though unexpected events may often change the market sentiment and impact your forecasting results.

Amundi Label Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Amundi Label fund to make a market-neutral strategy. Peer analysis of Amundi Label could also be used in its relative valuation, which is a method of valuing Amundi Label by comparing valuation metrics with similar companies.

Amundi Label Actions Amundi Label Equilibre Amundi 3 Mois Amundi Convictions ESR Amundi Obligataire Diversifi Amundi Actions Internationales Esfera Robotics R R co Valor F CM AM Monplus NE American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup SentinelOne

Risk & Return

Correlation

Amundi Label Market Strength Events

Market strength indicators help investors to evaluate how Amundi Label fund reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing, and determine when trading Amundi Label shares will generate the highest return on investment. By undertsting and applying Amundi Label fund market strength indicators, traders can identify Amundi Label Equilibre entry and exit signals to maximize returns.

	Rate Of Daily Change	1.0
	Day Median Price	169.05
	Day Typical Price	169.05
	Relative Strength Index	59.78

Amundi Label Risk Indicators

The analysis of Amundi Label's basic risk indicators is one of the essential steps in accurately forecasting its future price. The process involves identifying the amount of risk involved in Amundi Label's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting amundi fund prices, we also provide a set of basic risk indicators that can assist in the individual investment decision or help in hedging the risk of your existing portfolios.

	Mean Deviation	0.2765
	Semi Deviation	0.3379
	Standard Deviation	0.3464
	Variance	0.12
	Downside Variance	0.1315
	Semi Variance	0.1142
	Expected Short fall	(0.31)

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.

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