Semapa (Portugal) Market Value

SEM Stock  EUR 13.78  0.12  0.86%   
Semapa's market value is the price at which a share of Semapa trades on a public exchange. It measures the collective expectations of Semapa investors about its performance. Semapa is selling for under 13.78 as of the 30th of November 2024; that is 0.86% down since the beginning of the trading day. The stock's lowest day price was 13.74.
With this module, you can estimate the performance of a buy and hold strategy of Semapa and determine expected loss or profit from investing in Semapa over a given investment horizon. Check out Semapa Correlation, Semapa Volatility and Semapa Alpha and Beta module to complement your research on Semapa.
Symbol

Please note, there is a significant difference between Semapa's value and its price as these two are different measures arrived at by different means. Investors typically determine if Semapa is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Semapa's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.

Semapa 'What if' Analysis

In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to Semapa's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of Semapa.
0.00
06/09/2023
No Change 0.00  0.0 
In 1 year 5 months and 24 days
11/30/2024
0.00
If you would invest  0.00  in Semapa on June 9, 2023 and sell it all today you would earn a total of 0.00 from holding Semapa or generate 0.0% return on investment in Semapa over 540 days. Semapa is related to or competes with Altri SGPS, Navigator, Sonae SGPS, Mota Engil, and Galp Energia. More

Semapa Upside/Downside Indicators

Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure Semapa's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess Semapa upside and downside potential and time the market with a certain degree of confidence.

Semapa Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Semapa's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Semapa's standard deviation. In reality, there are many statistical measures that can use Semapa historical prices to predict the future Semapa's volatility.
Hype
Prediction
LowEstimatedHigh
12.7713.7814.79
Details
Intrinsic
Valuation
LowRealHigh
13.0814.0915.10
Details
Naive
Forecast
LowNextHigh
12.9013.9114.93
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
13.6914.0114.33
Details

Semapa Backtested Returns

Semapa owns Efficiency Ratio (i.e., Sharpe Ratio) of -0.0598, which indicates the firm had a -0.0598% return per unit of risk over the last 3 months. Semapa exposes twenty-three different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please validate Semapa's Coefficient Of Variation of (1,524), variance of 1.01, and Risk Adjusted Performance of (0.05) to confirm the risk estimate we provide. The entity has a beta of 0.3, which indicates possible diversification benefits within a given portfolio. As returns on the market increase, Semapa's returns are expected to increase less than the market. However, during the bear market, the loss of holding Semapa is expected to be smaller as well. At this point, Semapa has a negative expected return of -0.0605%. Please make sure to validate Semapa's maximum drawdown, kurtosis, day median price, as well as the relationship between the potential upside and daily balance of power , to decide if Semapa performance from the past will be repeated at some point in the near future.

Auto-correlation

    
  -0.1  

Very weak reverse predictability

Semapa has very weak reverse predictability. Overlapping area represents the amount of predictability between Semapa time series from 9th of June 2023 to 5th of March 2024 and 5th of March 2024 to 30th of November 2024. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of Semapa price movement. The serial correlation of -0.1 indicates that less than 10.0% of current Semapa price fluctuation can be explain by its past prices.
Correlation Coefficient-0.1
Spearman Rank Test-0.09
Residual Average0.0
Price Variance0.34

Semapa lagged returns against current returns

Autocorrelation, which is Semapa stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting Semapa's stock expected returns. We can calculate the autocorrelation of Semapa returns to help us make a trade decision. For example, suppose you find that Semapa has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
   Current and Lagged Values   
       Timeline  

Semapa regressed lagged prices vs. current prices

Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If Semapa stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Semapa stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Semapa stock over time.
   Current vs Lagged Prices   
       Timeline  

Semapa Lagged Returns

When evaluating Semapa's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Semapa stock have on its future price. Semapa autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, Semapa autocorrelation shows the relationship between Semapa stock current value and its past values and can show if there is a momentum factor associated with investing in Semapa.
   Regressed Prices   
       Timeline  

Thematic Opportunities

Explore Investment Opportunities

Build portfolios using Macroaxis predefined set of investing ideas. Many of Macroaxis investing ideas can easily outperform a given market. Ideas can also be optimized per your risk profile before portfolio origination is invoked. Macroaxis thematic optimization helps investors identify companies most likely to benefit from changes or shifts in various micro-economic or local macro-level trends. Originating optimal thematic portfolios involves aligning investors' personal views, ideas, and beliefs with their actual investments.
Explore Investing Ideas  

Additional Tools for Semapa Stock Analysis

When running Semapa's price analysis, check to measure Semapa's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Semapa is operating at the current time. Most of Semapa's value examination focuses on studying past and present price action to predict the probability of Semapa's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Semapa's price. Additionally, you may evaluate how the addition of Semapa to your portfolios can decrease your overall portfolio volatility.