Correlation Between Knightscope and First Responder
Can any of the company-specific risk be diversified away by investing in both Knightscope and First Responder at the same time? Although using a correlation coefficient on its own may not help to predict future stock returns, this module helps to understand the diversifiable risk of combining Knightscope and First Responder into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Knightscope and First Responder Technologies, you can compare the effects of market volatilities on Knightscope and First Responder and check how they will diversify away market risk if combined in the same portfolio for a given time horizon. You can also utilize pair trading strategies of matching a long position in Knightscope with a short position of First Responder. Check out your portfolio center. Please also check ongoing floating volatility patterns of Knightscope and First Responder.
Diversification Opportunities for Knightscope and First Responder
-0.59 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Knightscope and First is -0.59. Overlapping area represents the amount of risk that can be diversified away by holding Knightscope and First Responder Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Responder Tech and Knightscope is a relative statistical measure of the degree to which these equity instruments tend to move together. The correlation coefficient measures the extent to which returns on Knightscope are associated (or correlated) with First Responder. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Responder Tech has no effect on the direction of Knightscope i.e., Knightscope and First Responder go up and down completely randomly.
Pair Corralation between Knightscope and First Responder
Given the investment horizon of 90 days Knightscope is expected to under-perform the First Responder. But the stock apears to be less risky and, when comparing its historical volatility, Knightscope is 25.83 times less risky than First Responder. The stock trades about -0.33 of its potential returns per unit of risk. The First Responder Technologies is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 2.10 in First Responder Technologies on December 30, 2024 and sell it today you would earn a total of 97.90 from holding First Responder Technologies or generate 4661.9% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 93.55% |
Values | Daily Returns |
Knightscope vs. First Responder Technologies
Performance |
Timeline |
Knightscope |
First Responder Tech |
Knightscope and First Responder Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Knightscope and First Responder
The main advantage of trading using opposite Knightscope and First Responder positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Knightscope position performs unexpectedly, First Responder can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in First Responder will offset losses from the drop in First Responder's long position.Knightscope vs. LogicMark | Knightscope vs. Guardforce AI Co | Knightscope vs. Bridger Aerospace Group | Knightscope vs. Iveda Solutions |
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Check out your portfolio center.Note that this page's information should be used as a complementary analysis to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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