Correlation Between ACDC Metals and Strickland Metals
Can any of the company-specific risk be diversified away by investing in both ACDC Metals and Strickland Metals 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 ACDC Metals and Strickland Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ACDC Metals and Strickland Metals, you can compare the effects of market volatilities on ACDC Metals and Strickland Metals 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 ACDC Metals with a short position of Strickland Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of ACDC Metals and Strickland Metals.
Diversification Opportunities for ACDC Metals and Strickland Metals
-0.54 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between ACDC and Strickland is -0.54. Overlapping area represents the amount of risk that can be diversified away by holding ACDC Metals and Strickland Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Strickland Metals and ACDC Metals 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 ACDC Metals are associated (or correlated) with Strickland Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Strickland Metals has no effect on the direction of ACDC Metals i.e., ACDC Metals and Strickland Metals go up and down completely randomly.
Pair Corralation between ACDC Metals and Strickland Metals
Assuming the 90 days trading horizon ACDC Metals is expected to under-perform the Strickland Metals. But the stock apears to be less risky and, when comparing its historical volatility, ACDC Metals is 1.25 times less risky than Strickland Metals. The stock trades about -0.03 of its potential returns per unit of risk. The Strickland Metals is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 4.00 in Strickland Metals on September 30, 2024 and sell it today you would earn a total of 4.50 from holding Strickland Metals or generate 112.5% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.8% |
Values | Daily Returns |
ACDC Metals vs. Strickland Metals
Performance |
Timeline |
ACDC Metals |
Strickland Metals |
ACDC Metals and Strickland Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ACDC Metals and Strickland Metals
The main advantage of trading using opposite ACDC Metals and Strickland Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ACDC Metals position performs unexpectedly, Strickland Metals 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 Strickland Metals will offset losses from the drop in Strickland Metals' long position.ACDC Metals vs. Northern Star Resources | ACDC Metals vs. Evolution Mining | ACDC Metals vs. Bluescope Steel | ACDC Metals vs. Aneka Tambang Tbk |
Strickland Metals vs. Auswide Bank | Strickland Metals vs. MA Financial Group | Strickland Metals vs. Iron Road | Strickland Metals vs. Kkr Credit Income |
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 Optimization module to compute new portfolio that will generate highest expected return given your specified tolerance for risk.
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