EMCORE Stock Forecast - Triple Exponential Smoothing

EMKRDelisted Stock  USD 3.10  0.01  0.32%   
The Triple Exponential Smoothing forecasted value of EMCORE on the next trading day is expected to be 3.10 with a mean absolute deviation of 0.02 and the sum of the absolute errors of 0.96. EMCORE Stock Forecast is based on your current time horizon.
  
Triple exponential smoothing for EMCORE - 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 EMCORE 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 EMCORE price movement. However, neither of these exponential smoothing models address any seasonality of EMCORE.

EMCORE Triple Exponential Smoothing Price Forecast For the 26th of March

Given 90 days horizon, the Triple Exponential Smoothing forecasted value of EMCORE on the next trading day is expected to be 3.10 with a mean absolute deviation of 0.02, mean absolute percentage error of 0.0005, and the sum of the absolute errors of 0.96.
Please note that although there have been many attempts to predict EMCORE Stock 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 EMCORE's next future price depends linearly on its previous prices and some stochastic term (i.e., imperfectly predictable multiplier).

EMCORE Stock Forecast Pattern

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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 EMCORE stock data series using in forecasting. Note that when a statistical model is used to represent EMCORE 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 0.0033
MADMean absolute deviation0.0162
MAPEMean absolute percentage error0.0054
SAESum of the absolute errors0.9553
As with simple exponential smoothing, in triple exponential smoothing models past EMCORE 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 EMCORE observations.

Predictive Modules for EMCORE

There are currently many different techniques concerning forecasting the market as a whole, as well as predicting future values of individual securities such as EMCORE. Regardless of method or technology, however, to accurately forecast the stock market is more a matter of luck rather than a particular technique. Nevertheless, trying to predict the stock 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.
Hype
Prediction
LowEstimatedHigh
2.513.103.69
Details
Intrinsic
Valuation
LowRealHigh
2.012.603.19
Details

View EMCORE Related Equities

 Risk & Return  Correlation

EMCORE Market Strength Events

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

EMCORE Risk Indicators

The analysis of EMCORE'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 EMCORE's investment and either accepting that risk or mitigating it. Along with some essential techniques for forecasting emcore stock 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.
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.

Pair Trading with EMCORE

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if EMCORE position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in EMCORE will appreciate offsetting losses from the drop in the long position's value.

Moving against EMCORE Stock

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The ability to find closely correlated positions to EMCORE could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace EMCORE when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back EMCORE - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling EMCORE to buy it.
The correlation of EMCORE is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as EMCORE moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if EMCORE moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for EMCORE can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
Check out Investing Opportunities to better understand how to build diversified portfolios. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in industry.
You can also try the Idea Optimizer module to use advanced portfolio builder with pre-computed micro ideas to build optimal portfolio .

Other Consideration for investing in EMCORE Stock

If you are still planning to invest in EMCORE check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the EMCORE's history and understand the potential risks before investing.
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