OpenSys M's market value is the price at which a share of OpenSys M trades on a public exchange. It measures the collective expectations of OpenSys M Bhd investors about its performance. OpenSys M is selling for 0.36 as of the 28th of November 2024. This is a 2.7 percent decrease since the beginning of the trading day. The stock's lowest day price was 0.36. With this module, you can estimate the performance of a buy and hold strategy of OpenSys M Bhd and determine expected loss or profit from investing in OpenSys M over a given investment horizon. Check out Trending Equities 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 board of governors.
Symbol
OpenSys
OpenSys M '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 OpenSys M'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 OpenSys M.
0.00
09/29/2024
No Change 0.00
0.0
In 2 months and 2 days
11/28/2024
0.00
If you would invest 0.00 in OpenSys M on September 29, 2024 and sell it all today you would earn a total of 0.00 from holding OpenSys M Bhd or generate 0.0% return on investment in OpenSys M over 60 days.
OpenSys M 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 OpenSys M'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 OpenSys M Bhd 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 OpenSys M's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as OpenSys M's standard deviation. In reality, there are many statistical measures that can use OpenSys M historical prices to predict the future OpenSys M's volatility.
OpenSys M Bhd maintains Sharpe Ratio (i.e., Efficiency) of -0.0606, which implies the firm had a -0.0606% return per unit of risk over the last 3 months. OpenSys M Bhd exposes twenty-one different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please check OpenSys M's Risk Adjusted Performance of (0.06), variance of 1.68, and Coefficient Of Variation of (1,148) to confirm the risk estimate we provide. The company holds a Beta of 0.21, which implies not very significant fluctuations relative to the market. As returns on the market increase, OpenSys M's returns are expected to increase less than the market. However, during the bear market, the loss of holding OpenSys M is expected to be smaller as well. At this point, OpenSys M Bhd has a negative expected return of -0.0788%. Please make sure to check OpenSys M's mean deviation, standard deviation, information ratio, as well as the relationship between the coefficient of variation and variance , to decide if OpenSys M Bhd performance from the past will be repeated at some point in the near future.
Auto-correlation
-0.18
Insignificant reverse predictability
OpenSys M Bhd has insignificant reverse predictability. Overlapping area represents the amount of predictability between OpenSys M time series from 29th of September 2024 to 29th of October 2024 and 29th of October 2024 to 28th 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 OpenSys M Bhd price movement. The serial correlation of -0.18 indicates that over 18.0% of current OpenSys M price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.18
Spearman Rank Test
0.19
Residual Average
0.0
Price Variance
0.0
OpenSys M Bhd lagged returns against current returns
Autocorrelation, which is OpenSys M 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 OpenSys M's stock expected returns. We can calculate the autocorrelation of OpenSys M returns to help us make a trade decision. For example, suppose you find that OpenSys M 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
OpenSys M 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 OpenSys M stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if OpenSys M stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in OpenSys M stock over time.
Current vs Lagged Prices
Timeline
OpenSys M Lagged Returns
When evaluating OpenSys M's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of OpenSys M stock have on its future price. OpenSys M 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, OpenSys M autocorrelation shows the relationship between OpenSys M stock current value and its past values and can show if there is a momentum factor associated with investing in OpenSys M Bhd.
Regressed Prices
Timeline
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