Correlation Between Gossan Resources and IGO
Can any of the company-specific risk be diversified away by investing in both Gossan Resources and IGO 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 Gossan Resources and IGO into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Gossan Resources Limited and IGO Limited, you can compare the effects of market volatilities on Gossan Resources and IGO 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 Gossan Resources with a short position of IGO. Check out your portfolio center. Please also check ongoing floating volatility patterns of Gossan Resources and IGO.
Diversification Opportunities for Gossan Resources and IGO
-0.53 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Gossan and IGO is -0.53. Overlapping area represents the amount of risk that can be diversified away by holding Gossan Resources Limited and IGO Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on IGO Limited and Gossan Resources 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 Gossan Resources Limited are associated (or correlated) with IGO. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of IGO Limited has no effect on the direction of Gossan Resources i.e., Gossan Resources and IGO go up and down completely randomly.
Pair Corralation between Gossan Resources and IGO
Assuming the 90 days horizon Gossan Resources Limited is expected to generate 8.23 times more return on investment than IGO. However, Gossan Resources is 8.23 times more volatile than IGO Limited. It trades about 0.05 of its potential returns per unit of risk. IGO Limited is currently generating about -0.05 per unit of risk. If you would invest 2.20 in Gossan Resources Limited on September 30, 2024 and sell it today you would lose (1.23) from holding Gossan Resources Limited or give up 55.91% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Gossan Resources Limited vs. IGO Limited
Performance |
Timeline |
Gossan Resources |
IGO Limited |
Gossan Resources and IGO Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Gossan Resources and IGO
The main advantage of trading using opposite Gossan Resources and IGO positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Gossan Resources position performs unexpectedly, IGO 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 IGO will offset losses from the drop in IGO's long position.The idea behind Gossan Resources Limited and IGO Limited pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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