Correlation Between Castellum and GBT Technologies
Can any of the company-specific risk be diversified away by investing in both Castellum and GBT Technologies 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 Castellum and GBT Technologies into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Castellum and GBT Technologies, you can compare the effects of market volatilities on Castellum and GBT Technologies 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 Castellum with a short position of GBT Technologies. Check out your portfolio center. Please also check ongoing floating volatility patterns of Castellum and GBT Technologies.
Diversification Opportunities for Castellum and GBT Technologies
0.04 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Castellum and GBT is 0.04. Overlapping area represents the amount of risk that can be diversified away by holding Castellum and GBT Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GBT Technologies and Castellum 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 Castellum are associated (or correlated) with GBT Technologies. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GBT Technologies has no effect on the direction of Castellum i.e., Castellum and GBT Technologies go up and down completely randomly.
Pair Corralation between Castellum and GBT Technologies
Considering the 90-day investment horizon Castellum is expected to generate 32.01 times less return on investment than GBT Technologies. But when comparing it to its historical volatility, Castellum is 24.44 times less risky than GBT Technologies. It trades about 0.22 of its potential returns per unit of risk. GBT Technologies is currently generating about 0.29 of returns per unit of risk over similar time horizon. If you would invest 0.01 in GBT Technologies on September 16, 2024 and sell it today you would earn a total of 0.01 from holding GBT Technologies or generate 100.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Castellum vs. GBT Technologies
Performance |
Timeline |
Castellum |
GBT Technologies |
Castellum and GBT Technologies Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Castellum and GBT Technologies
The main advantage of trading using opposite Castellum and GBT Technologies positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Castellum position performs unexpectedly, GBT Technologies 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 GBT Technologies will offset losses from the drop in GBT Technologies' long position.Castellum vs. Flint Telecom Group | Castellum vs. Datametrex AI Limited | Castellum vs. TTEC Holdings | Castellum vs. Digatrade Financial Corp |
GBT Technologies vs. SEATech Ventures Corp | GBT Technologies vs. Alternet Systems | GBT Technologies vs. Crypto Co | GBT Technologies vs. Xalles Holdings |
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 Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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