Exelis Story Overview

Macroaxis does not monitor all media channels or aggregates social signals for Exelis. But even though we do not provide professional-grade financial sentiment analysis on Exelis, we do publish noise-free headlines that can be used to derive useful patterns or even a trading strategy for Exelis. See also Your Current Watchlist.
Exelis exotic insider transaction detected
Filed transaction by Exelis Inc director. Unconventional Insider trading

Exelis Inc insider trading alert for general transaction of common stock by Melcher David F, CEO and President, on November 12, 2017. This event was filed by Exelis Inc with SEC on 2014-11-12. Statement of changes in beneficial ownership - SEC Form 4

Story Momentum

This story impact on price volatility cannot be determined at this time. Please check this story after some time to allow current data to be analyzed.

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Exercise or conversion by Hunzeker Kenneth W of 20193 shares of Exelis subject to Rule 16b-3
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Beta

Beta Comparative Analysis

  Beta 
      Exelis Comparables 
Exelis is currently under evaluation in beta category among related companies. Beta is one of the most important measures of equity market volatility. Beta can be thought of as asset elasticity or sensitivity to market. In other words, it is a number that shows the relationship of financial instrument to the financial market in which this instrument is traded. For example if Beta of equity is 2, it will be expected to significantly outperform market when market is going up and significantly underperform when market is going down. Similarly, Beta of 1 indicates that an asset and market will generate similar returns during over time.

Peers

Exelis Related Equities

RFIL  5.58 %   
0%
100.0%
FORM  5.44 %   
0%
97.0%
KE  3.98 %   
0%
71.0%
CLFD  3.67 %   
0%
65.0%
QTNA  3.60 %   
0%
64.0%
VSAT  3.43 %   
0%
61.0%
IMI  3.01 %   
0%
53.0%
ESE  1.43 %   
0%
25.0%
IDSY  0.81 %   
0%
14.0%
See also Your Current Watchlist. Please also try Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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