AECOM owns Coefficient Of Variation of 376.52 and Market Risk Adjusted Performance of 0.42. AECOM technical analysis gives you the methodology to make use of past data patterns to determine a pattern that approximates the direction of the firm future prices. Strictly speaking you can use this information to find out if the firm will indeed mirror its model of historical prices and volume patterns or the prices will eventually revert. We found nineteen technical drivers for AECOM which can be compared to its peers in the sector. Please confirm AECOMJensen Alpha, Semi Variance and the relationship between Standard Deviation and Value At Risk to decide if AECOM is priced adequately providing market reflects its prevailing price of 31.55 per share. Given that AECOM has Jensen Alpha of 0.16, we suggest you validate AECOM latest market performance to make sure the company can sustain itself at some future date.
The output start index for this execution was twelve with a total number of output elements of five. The Average True Range was developed by J. Welles Wilder in 1970s. It is one of components of the Welles Wilder Directional Movement indicators. The ATR is a measure of AECOM volatility. High ATR values indicate high volatility, and low values indicate low volatility. View also all equity analysis or get more info about average true range volatility indicators indicator.
AECOM Trend Analysis
Use this graph to draw trend lines for AECOM. You can use it to identify possible trend reversals for AECOM as well as other signals and approximate when it will take place. Remember, you need at least two touches of the trend line with actual AECOM price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
AECOM Best Fit Change Line
The following chart estimates an ordinary least squares regression model for AECOM applied against its price change over selected period. The best fit line has a slop of 0.13 % which may imply that the returns on investment in AECOM will continue to fail. It has 34 observation points and a regression sum of squares at 13.46, which is the sum of squared deviations for the predicted AECOM price change compared to its average price change.
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