Correlation Between Insignia Financial and Centaurus Metals
Can any of the company-specific risk be diversified away by investing in both Insignia Financial and Centaurus 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 Insignia Financial and Centaurus Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Insignia Financial and Centaurus Metals, you can compare the effects of market volatilities on Insignia Financial and Centaurus 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 Insignia Financial with a short position of Centaurus Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of Insignia Financial and Centaurus Metals.
Diversification Opportunities for Insignia Financial and Centaurus Metals
-0.82 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Insignia and Centaurus is -0.82. Overlapping area represents the amount of risk that can be diversified away by holding Insignia Financial and Centaurus Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Centaurus Metals and Insignia Financial 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 Insignia Financial are associated (or correlated) with Centaurus Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Centaurus Metals has no effect on the direction of Insignia Financial i.e., Insignia Financial and Centaurus Metals go up and down completely randomly.
Pair Corralation between Insignia Financial and Centaurus Metals
Assuming the 90 days trading horizon Insignia Financial is expected to generate 0.75 times more return on investment than Centaurus Metals. However, Insignia Financial is 1.34 times less risky than Centaurus Metals. It trades about 0.22 of its potential returns per unit of risk. Centaurus Metals is currently generating about -0.13 per unit of risk. If you would invest 274.00 in Insignia Financial on October 9, 2024 and sell it today you would earn a total of 132.00 from holding Insignia Financial or generate 48.18% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Insignia Financial vs. Centaurus Metals
Performance |
Timeline |
Insignia Financial |
Centaurus Metals |
Insignia Financial and Centaurus Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Insignia Financial and Centaurus Metals
The main advantage of trading using opposite Insignia Financial and Centaurus Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Insignia Financial position performs unexpectedly, Centaurus 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 Centaurus Metals will offset losses from the drop in Centaurus Metals' long position.Insignia Financial vs. Toys R Us | Insignia Financial vs. Maggie Beer Holdings | Insignia Financial vs. TPG Telecom | Insignia Financial vs. Austco Healthcare |
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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 Performance Analysis module to check effects of mean-variance optimization against your current asset allocation.
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