Correlation Between Regal Funds and Delta Lithium
Can any of the company-specific risk be diversified away by investing in both Regal Funds and Delta Lithium 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 Regal Funds and Delta Lithium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Regal Funds Management and Delta Lithium, you can compare the effects of market volatilities on Regal Funds and Delta Lithium 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 Regal Funds with a short position of Delta Lithium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Regal Funds and Delta Lithium.
Diversification Opportunities for Regal Funds and Delta Lithium
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between Regal and Delta is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding Regal Funds Management and Delta Lithium in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Delta Lithium and Regal Funds 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 Regal Funds Management are associated (or correlated) with Delta Lithium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Delta Lithium has no effect on the direction of Regal Funds i.e., Regal Funds and Delta Lithium go up and down completely randomly.
Pair Corralation between Regal Funds and Delta Lithium
Assuming the 90 days trading horizon Regal Funds Management is expected to under-perform the Delta Lithium. But the stock apears to be less risky and, when comparing its historical volatility, Regal Funds Management is 1.45 times less risky than Delta Lithium. The stock trades about 0.0 of its potential returns per unit of risk. The Delta Lithium is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 17.00 in Delta Lithium on October 10, 2024 and sell it today you would earn a total of 0.00 from holding Delta Lithium or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.0% |
Values | Daily Returns |
Regal Funds Management vs. Delta Lithium
Performance |
Timeline |
Regal Funds Management |
Delta Lithium |
Regal Funds and Delta Lithium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Regal Funds and Delta Lithium
The main advantage of trading using opposite Regal Funds and Delta Lithium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Regal Funds position performs unexpectedly, Delta Lithium 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 Delta Lithium will offset losses from the drop in Delta Lithium's long position.Regal Funds vs. Ecofibre | Regal Funds vs. iShares Global Healthcare | Regal Funds vs. Adriatic Metals Plc | Regal Funds vs. Australian Dairy Farms |
Delta Lithium vs. Iron Road | Delta Lithium vs. Retail Food Group | Delta Lithium vs. Viva Leisure | Delta Lithium vs. Insurance Australia 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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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