Industrial Engineering's market value is the price at which a share of Industrial Engineering trades on a public exchange. It measures the collective expectations of Industrial Engineering Projects investors about its performance. Industrial Engineering is trading at 0.26 as of the 1st of December 2024. This is a 3.7 percent down since the beginning of the trading day. The stock's lowest day price was 0.26. With this module, you can estimate the performance of a buy and hold strategy of Industrial Engineering Projects and determine expected loss or profit from investing in Industrial Engineering over a given investment horizon. Check out Risk vs Return 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
Industrial
Industrial Engineering '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 Industrial Engineering'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 Industrial Engineering.
0.00
09/02/2024
No Change 0.00
0.0
In 3 months and 1 day
12/01/2024
0.00
If you would invest 0.00 in Industrial Engineering on September 2, 2024 and sell it all today you would earn a total of 0.00 from holding Industrial Engineering Projects or generate 0.0% return on investment in Industrial Engineering over 90 days.
Industrial Engineering 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 Industrial Engineering'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 Industrial Engineering Projects 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 Industrial Engineering's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as Industrial Engineering's standard deviation. In reality, there are many statistical measures that can use Industrial Engineering historical prices to predict the future Industrial Engineering's volatility.
At this point, Industrial Engineering is out of control. Industrial Engineering holds Efficiency (Sharpe) Ratio of 0.0114, which attests that the entity had a 0.0114% return per unit of risk over the last 3 months. We have found thirty technical indicators for Industrial Engineering, which you can use to evaluate the volatility of the firm. Please check out Industrial Engineering's Risk Adjusted Performance of 0.0164, downside deviation of 4.35, and Market Risk Adjusted Performance of (0.07) to validate if the risk estimate we provide is consistent with the expected return of 0.0263%. The company retains a Market Volatility (i.e., Beta) of -0.25, which attests to not very significant fluctuations relative to the market. As returns on the market increase, returns on owning Industrial Engineering are expected to decrease at a much lower rate. During the bear market, Industrial Engineering is likely to outperform the market. Industrial Engineering right now retains a risk of 2.32%. Please check out Industrial Engineering semi deviation, coefficient of variation, jensen alpha, as well as the relationship between the downside deviation and standard deviation , to decide if Industrial Engineering will be following its current trending patterns.
Auto-correlation
-0.24
Weak reverse predictability
Industrial Engineering Projects has weak reverse predictability. Overlapping area represents the amount of predictability between Industrial Engineering time series from 2nd of September 2024 to 17th of October 2024 and 17th of October 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 Industrial Engineering price movement. The serial correlation of -0.24 indicates that over 24.0% of current Industrial Engineering price fluctuation can be explain by its past prices.
Correlation Coefficient
-0.24
Spearman Rank Test
-0.22
Residual Average
0.0
Price Variance
0.0
Industrial Engineering lagged returns against current returns
Autocorrelation, which is Industrial Engineering 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 Industrial Engineering's stock expected returns. We can calculate the autocorrelation of Industrial Engineering returns to help us make a trade decision. For example, suppose you find that Industrial Engineering 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
Industrial Engineering 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 Industrial Engineering stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if Industrial Engineering stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in Industrial Engineering stock over time.
Current vs Lagged Prices
Timeline
Industrial Engineering Lagged Returns
When evaluating Industrial Engineering's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of Industrial Engineering stock have on its future price. Industrial Engineering 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, Industrial Engineering autocorrelation shows the relationship between Industrial Engineering stock current value and its past values and can show if there is a momentum factor associated with investing in Industrial Engineering Projects.
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.