Mohandes Insurance's market value is the price at which a share of Mohandes Insurance trades on a public exchange. It measures the collective expectations of Mohandes Insurance investors about its performance. Mohandes Insurance is trading at 25.62 as of the 15th of December 2024. This is a 1.16 percent decrease since the beginning of the trading day. The stock's lowest day price was 25.1. With this module, you can estimate the performance of a buy and hold strategy of Mohandes Insurance and determine expected loss or profit from investing in Mohandes Insurance 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 board of governors.
Symbol
Mohandes
Mohandes Insurance '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 Mohandes Insurance'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 Mohandes Insurance.
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11/15/2024
No Change 0.00
0.0
In 30 days
12/15/2024
0.00
If you would invest 0.00 in Mohandes Insurance on November 15, 2024 and sell it all today you would earn a total of 0.00 from holding Mohandes Insurance or generate 0.0% return on investment in Mohandes Insurance over 30 days.
Mohandes Insurance 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 Mohandes Insurance'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 Mohandes Insurance 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 Mohandes Insurance's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Mohandes Insurance's standard deviation. In reality, there are many statistical measures that can use Mohandes Insurance historical prices to predict the future Mohandes Insurance's volatility.
Mohandes Insurance appears to be not too volatile, given 3 months investment horizon. Mohandes Insurance has Sharpe Ratio of 0.21, which conveys that the firm had a 0.21% return per unit of risk over the last 3 months. By analyzing Mohandes Insurance's technical indicators, you can evaluate if the expected return of 0.84% is justified by implied risk. Please exercise Mohandes Insurance's Risk Adjusted Performance of 0.143, mean deviation of 1.8, and Downside Deviation of 3.76 to check out if our risk estimates are consistent with your expectations. On a scale of 0 to 100, Mohandes Insurance holds a performance score of 16. The company secures a Beta (Market Risk) of -0.36, which conveys possible diversification benefits within a given portfolio. As returns on the market increase, returns on owning Mohandes Insurance are expected to decrease at a much lower rate. During the bear market, Mohandes Insurance is likely to outperform the market. Please check Mohandes Insurance's coefficient of variation, jensen alpha, sortino ratio, as well as the relationship between the standard deviation and total risk alpha , to make a quick decision on whether Mohandes Insurance's current price movements will revert.
Auto-correlation
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No correlation between past and present
Mohandes Insurance has no correlation between past and present. Overlapping area represents the amount of predictability between Mohandes Insurance time series from 15th of November 2024 to 30th of November 2024 and 30th of November 2024 to 15th 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 Mohandes Insurance price movement. The serial correlation of 0.0 indicates that just 0.0% of current Mohandes Insurance price fluctuation can be explain by its past prices.
Correlation Coefficient
0.0
Spearman Rank Test
0.87
Residual Average
0.0
Price Variance
3.88
Mohandes Insurance lagged returns against current returns
Autocorrelation, which is Mohandes Insurance 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 Mohandes Insurance's stock expected returns. We can calculate the autocorrelation of Mohandes Insurance returns to help us make a trade decision. For example, suppose you find that Mohandes Insurance 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
Mohandes Insurance 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 Mohandes Insurance stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Mohandes Insurance stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Mohandes Insurance stock over time.
Current vs Lagged Prices
Timeline
Mohandes Insurance Lagged Returns
When evaluating Mohandes Insurance's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Mohandes Insurance stock have on its future price. Mohandes Insurance 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, Mohandes Insurance autocorrelation shows the relationship between Mohandes Insurance stock current value and its past values and can show if there is a momentum factor associated with investing in Mohandes Insurance.
Regressed Prices
Timeline
Also Currently Popular
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.