Correlation Between Oak Woods and Athena Technology
Can any of the company-specific risk be diversified away by investing in both Oak Woods and Athena Technology 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 Oak Woods and Athena Technology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Oak Woods Acquisition and Athena Technology Acquisition, you can compare the effects of market volatilities on Oak Woods and Athena Technology 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 Oak Woods with a short position of Athena Technology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Oak Woods and Athena Technology.
Diversification Opportunities for Oak Woods and Athena Technology
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Oak and Athena is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Oak Woods Acquisition and Athena Technology Acquisition in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Athena Technology and Oak Woods 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 Oak Woods Acquisition are associated (or correlated) with Athena Technology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Athena Technology has no effect on the direction of Oak Woods i.e., Oak Woods and Athena Technology go up and down completely randomly.
Pair Corralation between Oak Woods and Athena Technology
Assuming the 90 days horizon Oak Woods is expected to generate 1.61 times less return on investment than Athena Technology. But when comparing it to its historical volatility, Oak Woods Acquisition is 2.34 times less risky than Athena Technology. It trades about 0.06 of its potential returns per unit of risk. Athena Technology Acquisition is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 1,144 in Athena Technology Acquisition on September 3, 2024 and sell it today you would earn a total of 48.00 from holding Athena Technology Acquisition or generate 4.2% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Oak Woods Acquisition vs. Athena Technology Acquisition
Performance |
Timeline |
Oak Woods Acquisition |
Athena Technology |
Oak Woods and Athena Technology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Oak Woods and Athena Technology
The main advantage of trading using opposite Oak Woods and Athena Technology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Oak Woods position performs unexpectedly, Athena Technology 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 Athena Technology will offset losses from the drop in Athena Technology's long position.Oak Woods vs. Marblegate Acquisition Corp | Oak Woods vs. Alpha One | Oak Woods vs. Manaris Corp | Oak Woods vs. SCOR PK |
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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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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