Correlation Between AST SpaceMobile and KAT Exploration
Can any of the company-specific risk be diversified away by investing in both AST SpaceMobile and KAT Exploration 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 AST SpaceMobile and KAT Exploration into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between AST SpaceMobile and KAT Exploration, you can compare the effects of market volatilities on AST SpaceMobile and KAT Exploration 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 AST SpaceMobile with a short position of KAT Exploration. Check out your portfolio center. Please also check ongoing floating volatility patterns of AST SpaceMobile and KAT Exploration.
Diversification Opportunities for AST SpaceMobile and KAT Exploration
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between AST and KAT is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding AST SpaceMobile and KAT Exploration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on KAT Exploration and AST SpaceMobile 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 AST SpaceMobile are associated (or correlated) with KAT Exploration. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of KAT Exploration has no effect on the direction of AST SpaceMobile i.e., AST SpaceMobile and KAT Exploration go up and down completely randomly.
Pair Corralation between AST SpaceMobile and KAT Exploration
Assuming the 90 days horizon AST SpaceMobile is expected to generate 2.21 times less return on investment than KAT Exploration. But when comparing it to its historical volatility, AST SpaceMobile is 3.39 times less risky than KAT Exploration. It trades about 0.17 of its potential returns per unit of risk. KAT Exploration is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 0.02 in KAT Exploration on September 15, 2024 and sell it today you would earn a total of 0.00 from holding KAT Exploration or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 57.94% |
Values | Daily Returns |
AST SpaceMobile vs. KAT Exploration
Performance |
Timeline |
AST SpaceMobile |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
KAT Exploration |
AST SpaceMobile and KAT Exploration Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with AST SpaceMobile and KAT Exploration
The main advantage of trading using opposite AST SpaceMobile and KAT Exploration positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if AST SpaceMobile position performs unexpectedly, KAT Exploration 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 KAT Exploration will offset losses from the drop in KAT Exploration's long position.AST SpaceMobile vs. Origin Materials Warrant | AST SpaceMobile vs. Ast Spacemobile | AST SpaceMobile vs. Paysafe Ltd Wt | AST SpaceMobile vs. EVgo Equity Warrants |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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