Correlation Between Autosports and Antipa Minerals
Can any of the company-specific risk be diversified away by investing in both Autosports and Antipa Minerals 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 Autosports and Antipa Minerals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Autosports Group and Antipa Minerals, you can compare the effects of market volatilities on Autosports and Antipa Minerals 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 Autosports with a short position of Antipa Minerals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Autosports and Antipa Minerals.
Diversification Opportunities for Autosports and Antipa Minerals
0.24 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Autosports and Antipa is 0.24. Overlapping area represents the amount of risk that can be diversified away by holding Autosports Group and Antipa Minerals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Antipa Minerals and Autosports 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 Autosports Group are associated (or correlated) with Antipa Minerals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Antipa Minerals has no effect on the direction of Autosports i.e., Autosports and Antipa Minerals go up and down completely randomly.
Pair Corralation between Autosports and Antipa Minerals
Assuming the 90 days trading horizon Autosports Group is expected to under-perform the Antipa Minerals. But the stock apears to be less risky and, when comparing its historical volatility, Autosports Group is 4.06 times less risky than Antipa Minerals. The stock trades about -0.24 of its potential returns per unit of risk. The Antipa Minerals is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 2.50 in Antipa Minerals on October 10, 2024 and sell it today you would earn a total of 0.30 from holding Antipa Minerals or generate 12.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Autosports Group vs. Antipa Minerals
Performance |
Timeline |
Autosports Group |
Antipa Minerals |
Autosports and Antipa Minerals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Autosports and Antipa Minerals
The main advantage of trading using opposite Autosports and Antipa Minerals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Autosports position performs unexpectedly, Antipa Minerals 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 Antipa Minerals will offset losses from the drop in Antipa Minerals' long position.Autosports vs. Ora Banda Mining | Autosports vs. Andean Silver Limited | Autosports vs. Centaurus Metals | Autosports vs. Maggie Beer Holdings |
Antipa Minerals vs. Clime Investment Management | Antipa Minerals vs. BSP Financial Group | Antipa Minerals vs. Westpac Banking | Antipa Minerals vs. Bell Financial Group |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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