MICRODATA's market value is the price at which a share of MICRODATA trades on a public exchange. It measures the collective expectations of MICRODATA investors about its performance. MICRODATA is trading at 640.00 as of the 13th of December 2024, a 2.89% up since the beginning of the trading day. The stock's open price was 622.0. With this module, you can estimate the performance of a buy and hold strategy of MICRODATA and determine expected loss or profit from investing in MICRODATA over a given investment horizon. Check out Correlation Analysis 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 persons.
Symbol
MICRODATA
MICRODATA '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 MICRODATA'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 MICRODATA.
0.00
11/13/2024
No Change 0.00
0.0
In 30 days
12/13/2024
0.00
If you would invest 0.00 in MICRODATA on November 13, 2024 and sell it all today you would earn a total of 0.00 from holding MICRODATA or generate 0.0% return on investment in MICRODATA over 30 days.
MICRODATA 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 MICRODATA'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 MICRODATA upside and downside potential and time the market with a certain degree of confidence.
Today, many novice investors tend to focus exclusively on investment returns with little concern for MICRODATA's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as MICRODATA's standard deviation. In reality, there are many statistical measures that can use MICRODATA historical prices to predict the future MICRODATA's volatility.
At this point, MICRODATA is very steady. MICRODATA retains Efficiency (Sharpe Ratio) of 0.0089, which conveys that the firm had a 0.0089% return per unit of risk over the last 3 months. We have found twenty-one technical indicators for MICRODATA, which you can use to evaluate the volatility of the firm. Please verify MICRODATA's Mean Deviation of 1.2, market risk adjusted performance of (0.02), and Coefficient Of Variation of (23,867) to check out if the risk estimate we provide is consistent with the expected return of 0.016%. The company owns a Beta (Systematic Risk) of 0.56, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, MICRODATA's returns are expected to increase less than the market. However, during the bear market, the loss of holding MICRODATA is expected to be smaller as well. MICRODATA now owns a risk of 1.8%. Please verify MICRODATA jensen alpha, as well as the relationship between the kurtosis and price action indicator , to decide if MICRODATA will be following its current price history.
Auto-correlation
-0.61
Very good reverse predictability
MICRODATA has very good reverse predictability. Overlapping area represents the amount of predictability between MICRODATA time series from 13th of November 2024 to 28th of November 2024 and 28th of November 2024 to 13th 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 MICRODATA price movement. The serial correlation of -0.61 indicates that roughly 61.0% of current MICRODATA price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.61
Spearman Rank Test
0.06
Residual Average
0.0
Price Variance
66.7
MICRODATA lagged returns against current returns
Autocorrelation, which is MICRODATA 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 MICRODATA's stock expected returns. We can calculate the autocorrelation of MICRODATA returns to help us make a trade decision. For example, suppose you find that MICRODATA 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
MICRODATA 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 MICRODATA stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if MICRODATA stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in MICRODATA stock over time.
Current vs Lagged Prices
Timeline
MICRODATA Lagged Returns
When evaluating MICRODATA's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of MICRODATA stock have on its future price. MICRODATA 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, MICRODATA autocorrelation shows the relationship between MICRODATA stock current value and its past values and can show if there is a momentum factor associated with investing in MICRODATA.
Regressed Prices
Timeline
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