BEKA LUX Fund Forecast - Triple Exponential Smoothing

Summary

0P0001OSNK

86.92 0.00 0.00%

The Triple Exponential Smoothing forecasted value of BEKA LUX SICAV on the next trading day is expected to be 86.90 with a mean absolute deviation of 0.16 and the sum of the absolute errors of 9.44. Investors can use prediction functions to forecast BEKA LUX's fund prices and determine the direction of BEKA LUX SICAV's future trends based on various well-known forecasting models. However, exclusively looking at the historical price movement is usually misleading.

Triple exponential smoothing for BEKA LUX - also known as the Winters method - is a refinement of the popular double exponential smoothing model with the addition of periodicity (seasonality) component. Simple exponential smoothing technique works best with data where there are no trend or seasonality components to the data. When BEKA LUX 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 trend in BEKA LUX price movement. However, neither of these exponential smoothing models address any seasonality of BEKA LUX SICAV.

More About Triple Exponential Smoothing All Equity Analysis

BEKA LUX Triple Exponential Smoothing Price Forecast For the 4th of January

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of BEKA LUX SICAV on the next trading day is expected to be 86.90 with a mean absolute deviation of 0.16, mean absolute percentage error of 0.05, and the sum of the absolute errors of 9.44.

Please note that although there have been many attempts to predict BEKA 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 BEKA LUX's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

BEKA LUX Fund Forecast Pattern

Model Predictive Factors

The below table displays some essential indicators generated by the model showing the Triple Exponential Smoothing forecasting method's relative quality and the estimations of the prediction error of BEKA LUX fund data series using in forecasting. Note that when a statistical model is used to represent BEKA LUX 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	Huge
Bias	Arithmetic mean of the errors	0.0248
MAD	Mean absolute deviation	0.1601
MAPE	Mean absolute percentage error	0.0018
SAE	Sum of the absolute errors	9.4446

As with simple exponential smoothing, in triple exponential smoothing models past BEKA LUX observations are given exponentially smaller weights as the observations get older. In other words, recent observations are given relatively more weight in forecasting than the older BEKA LUX SICAV observations.

Predictive Modules for BEKA LUX

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as BEKA LUX SICAV. 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.

BEKA LUX 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 BEKA LUX fund to make a market-neutral strategy. Peer analysis of BEKA LUX could also be used in its relative valuation, which is a method of valuing BEKA LUX by comparing valuation metrics with similar companies.

BEKA LUX SICAV Esfera Robotics R R co Valor F CM AM Monplus NE IE00B0H4TS55 Echiquier Entrepreneurs G JPM America Equity Nordea 1 SICAV American Airlines Group Alcoa Corp Apple Inc Best Buy Co Citigroup SentinelOne CVS Health Corp

Risk & Return

Correlation

BEKA LUX Market Strength Events

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

	Rate Of Daily Change	1.0
	Day Median Price	86.92
	Day Typical Price	86.92

BEKA LUX Risk Indicators

The analysis of BEKA LUX'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 BEKA LUX's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting beka 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	0.1825
	Semi Deviation	0.191
	Standard Deviation	0.2427
	Variance	0.0589
	Downside Variance	0.0581
	Semi Variance	0.0365
	Expected Short fall	(0.21)

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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