Correlation Between Carnegie Clean and Regal Funds
Can any of the company-specific risk be diversified away by investing in both Carnegie Clean and Regal Funds 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 Carnegie Clean and Regal Funds into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Carnegie Clean Energy and Regal Funds Management, you can compare the effects of market volatilities on Carnegie Clean and Regal Funds 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 Carnegie Clean with a short position of Regal Funds. Check out your portfolio center. Please also check ongoing floating volatility patterns of Carnegie Clean and Regal Funds.
Diversification Opportunities for Carnegie Clean and Regal Funds
0.33 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Carnegie and Regal is 0.33. Overlapping area represents the amount of risk that can be diversified away by holding Carnegie Clean Energy and Regal Funds Management in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Regal Funds Management and Carnegie Clean 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 Carnegie Clean Energy are associated (or correlated) with Regal Funds. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Regal Funds Management has no effect on the direction of Carnegie Clean i.e., Carnegie Clean and Regal Funds go up and down completely randomly.
Pair Corralation between Carnegie Clean and Regal Funds
Assuming the 90 days trading horizon Carnegie Clean Energy is expected to generate 1.14 times more return on investment than Regal Funds. However, Carnegie Clean is 1.14 times more volatile than Regal Funds Management. It trades about -0.02 of its potential returns per unit of risk. Regal Funds Management is currently generating about -0.07 per unit of risk. If you would invest 4.00 in Carnegie Clean Energy on December 2, 2024 and sell it today you would lose (0.40) from holding Carnegie Clean Energy or give up 10.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Carnegie Clean Energy vs. Regal Funds Management
Performance |
Timeline |
Carnegie Clean Energy |
Regal Funds Management |
Carnegie Clean and Regal Funds Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Carnegie Clean and Regal Funds
The main advantage of trading using opposite Carnegie Clean and Regal Funds positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Carnegie Clean position performs unexpectedly, Regal Funds 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 Regal Funds will offset losses from the drop in Regal Funds' long position.Carnegie Clean vs. Perseus Mining | Carnegie Clean vs. Charter Hall Retail | Carnegie Clean vs. Peel Mining | Carnegie Clean vs. Galena Mining |
Regal Funds vs. Charter Hall Retail | Regal Funds vs. Chalice Mining Limited | Regal Funds vs. Galena Mining | Regal Funds vs. Evolution Mining |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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