United Parcel Service has Coefficient Of Variation of 786.99 and Risk Adjusted Performance of 0.05. In relation to Fundamental Indicators, Macroaxis technical analysis interface makes it possible for you to check existing technical drivers of United Parcel Service as well as the relationship between them. In other words you can use this information to find out if the company will indeed mirror its model of past prices and volume data or the prices will eventually revert. We found nineteen technical drivers for United Parcel Service which can be compared to its competition. Please validate United Parcel ServiceCoefficient Of Variation, Maximum Drawdown as well as the relationship between Maximum Drawdown and Skewness to decide if United Parcel is priced more or less accurately providing market reflects its prevalent price of 119.12 per share. Given that United Parcel Service has Jensen Alpha of 0.12, we advise you double-check United Parcel Service current market performance to make sure the company can sustain itself at future point.
The output start index for this execution was fourteen with a total number of output elements of three. 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 United Parcel Service 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.
United Parcel Service Trend Analysis
Use this graph to draw trend lines for United Parcel Service. You can use it to identify possible trend reversals for United Parcel 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 United Parcel price movement. To start drawing, click on the pencil icon on top-right. To remove the trend, use eraser icon.
United Parcel Best Fit Change Line
The following chart estimates an ordinary least squares regression model for United Parcel Service applied against its price change over selected period. The best fit line has a slop of 0.43 % which may imply that the returns on investment in United Parcel Service will continue to fail. It has 34 observation points and a regression sum of squares at 151.58, which is the sum of squared deviations for the predicted United Parcel price change compared to its average price change.
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Compare performance and examine historical correlation between any two equity instruments