Correlation Between Global Digital and Knightscope
Can any of the company-specific risk be diversified away by investing in both Global Digital and Knightscope 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 Global Digital and Knightscope into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global Digital Soltn and Knightscope, you can compare the effects of market volatilities on Global Digital and Knightscope 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 Global Digital with a short position of Knightscope. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Digital and Knightscope.
Diversification Opportunities for Global Digital and Knightscope
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Global and Knightscope is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Global Digital Soltn and Knightscope in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Knightscope and Global Digital 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 Global Digital Soltn are associated (or correlated) with Knightscope. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Knightscope has no effect on the direction of Global Digital i.e., Global Digital and Knightscope go up and down completely randomly.
Pair Corralation between Global Digital and Knightscope
Given the investment horizon of 90 days Global Digital Soltn is expected to generate 13.21 times more return on investment than Knightscope. However, Global Digital is 13.21 times more volatile than Knightscope. It trades about 0.15 of its potential returns per unit of risk. Knightscope is currently generating about 0.23 per unit of risk. If you would invest 0.00 in Global Digital Soltn on August 31, 2024 and sell it today you would earn a total of 0.01 from holding Global Digital Soltn or generate 9.223372036854776E16% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Global Digital Soltn vs. Knightscope
Performance |
| Timeline |
| Global Digital Soltn |
| Knightscope |
Global Digital and Knightscope Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Global Digital and Knightscope
The main advantage of trading using opposite Global Digital and Knightscope positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Digital position performs unexpectedly, Knightscope 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 Knightscope will offset losses from the drop in Knightscope's long position.| Global Digital vs. Seychelle Environmtl | Global Digital vs. Energy and Water | Global Digital vs. One World Universe | Global Digital vs. Vow ASA |
| Knightscope vs. LogicMark | Knightscope vs. Guardforce AI Co | Knightscope vs. Bridger Aerospace Group | Knightscope vs. Iveda Solutions |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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