Matrix (Israel) Market Value

MTRX Stock  ILS 8,226  50.00  0.60%   
Matrix's market value is the price at which a share of Matrix trades on a public exchange. It measures the collective expectations of Matrix investors about its performance. Matrix is trading at 8226.00 as of the 1st of December 2024, a 0.6% down since the beginning of the trading day. The stock's open price was 8276.0.
With this module, you can estimate the performance of a buy and hold strategy of Matrix and determine expected loss or profit from investing in Matrix over a given investment horizon. Check out Matrix Correlation, Matrix Volatility and Matrix Alpha and Beta module to complement your research on Matrix.
Symbol

Please note, there is a significant difference between Matrix's value and its price as these two are different measures arrived at by different means. Investors typically determine if Matrix is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Matrix'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.

Matrix '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 Matrix'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 Matrix.
0.00
11/01/2024
No Change 0.00  0.0 
In 30 days
12/01/2024
0.00
If you would invest  0.00  in Matrix on November 1, 2024 and sell it all today you would earn a total of 0.00 from holding Matrix or generate 0.0% return on investment in Matrix over 30 days. Matrix is related to or competes with Palram, Shagrir Group, EN Shoham, and Shufersal. Matrix IT Ltd., an IT company, provides software products and solutions in Israel More

Matrix 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 Matrix'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 Matrix upside and downside potential and time the market with a certain degree of confidence.

Matrix Market Risk Indicators

Today, many novice investors tend to focus exclusively on investment returns with little concern for Matrix's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Matrix's standard deviation. In reality, there are many statistical measures that can use Matrix historical prices to predict the future Matrix's volatility.
Hype
Prediction
LowEstimatedHigh
8,2248,2268,228
Details
Intrinsic
Valuation
LowRealHigh
6,4026,4039,049
Details
Naive
Forecast
LowNextHigh
8,2958,2978,298
Details
Bollinger
Band Projection (param)
LowerMiddle BandUpper
8,1978,2618,325
Details

Matrix Backtested Returns

Matrix appears to be very steady, given 3 months investment horizon. Matrix has Sharpe Ratio of 0.2, which conveys that the firm had a 0.2% return per unit of risk over the last 3 months. We have found thirty technical indicators for Matrix, which you can use to evaluate the volatility of the firm. Please exercise Matrix's Risk Adjusted Performance of 0.0751, mean deviation of 1.28, and Downside Deviation of 1.68 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Matrix holds a performance score of 15. The company secures a Beta (Market Risk) of -0.0016, which conveys not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Matrix are expected to decrease at a much lower rate. During the bear market, Matrix is likely to outperform the market. Please check Matrix's treynor ratio, downside variance, kurtosis, as well as the relationship between the value at risk and expected short fall , to make a quick decision on whether Matrix's current price movements will revert.

Auto-correlation

    
  0.43  

Average predictability

Matrix has average predictability. Overlapping area represents the amount of predictability between Matrix time series from 1st of November 2024 to 16th of November 2024 and 16th of November 2024 to 1st of December 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 Matrix price movement. The serial correlation of 0.43 indicates that just about 43.0% of current Matrix price fluctuation can be explain by its past prices.
Correlation Coefficient0.43
Spearman Rank Test0.32
Residual Average0.0
Price Variance10.2 K

Matrix lagged returns against current returns

Autocorrelation, which is Matrix 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 Matrix's stock expected returns. We can calculate the autocorrelation of Matrix returns to help us make a trade decision. For example, suppose you find that Matrix 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  

Matrix 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 Matrix stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Matrix stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Matrix stock over time.
   Current vs Lagged Prices   
       Timeline  

Matrix Lagged Returns

When evaluating Matrix's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Matrix stock have on its future price. Matrix 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, Matrix autocorrelation shows the relationship between Matrix stock current value and its past values and can show if there is a momentum factor associated with investing in Matrix.
   Regressed Prices   
       Timeline  

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Other Information on Investing in Matrix Stock

Matrix financial ratios help investors to determine whether Matrix Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Matrix with respect to the benefits of owning Matrix security.