Correlation Between IGO and Argosy Minerals
Can any of the company-specific risk be diversified away by investing in both IGO and Argosy Minerals 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 IGO and Argosy Minerals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between IGO Limited and Argosy Minerals Limited, you can compare the effects of market volatilities on IGO and Argosy Minerals 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 IGO with a short position of Argosy Minerals. Check out your portfolio center. Please also check ongoing floating volatility patterns of IGO and Argosy Minerals.
Diversification Opportunities for IGO and Argosy Minerals
-0.29 | Correlation Coefficient |
Very good diversification
The 3 months correlation between IGO and Argosy is -0.29. Overlapping area represents the amount of risk that can be diversified away by holding IGO Limited and Argosy Minerals Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Argosy Minerals and IGO 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 IGO Limited are associated (or correlated) with Argosy Minerals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Argosy Minerals has no effect on the direction of IGO i.e., IGO and Argosy Minerals go up and down completely randomly.
Pair Corralation between IGO and Argosy Minerals
Assuming the 90 days horizon IGO Limited is expected to generate 0.28 times more return on investment than Argosy Minerals. However, IGO Limited is 3.61 times less risky than Argosy Minerals. It trades about 0.06 of its potential returns per unit of risk. Argosy Minerals Limited is currently generating about -0.03 per unit of risk. If you would invest 636.00 in IGO Limited on September 5, 2024 and sell it today you would earn a total of 44.00 from holding IGO Limited or generate 6.92% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
IGO Limited vs. Argosy Minerals Limited
Performance |
Timeline |
IGO Limited |
Argosy Minerals |
IGO and Argosy Minerals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IGO and Argosy Minerals
The main advantage of trading using opposite IGO and Argosy Minerals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IGO position performs unexpectedly, Argosy Minerals 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 Argosy Minerals will offset losses from the drop in Argosy Minerals' long position.IGO vs. Qubec Nickel Corp | IGO vs. Nickel Mines Limited | IGO vs. Mineral Resources Limited | IGO vs. Surge Copper Corp |
Argosy Minerals vs. Qubec Nickel Corp | Argosy Minerals vs. IGO Limited | Argosy Minerals vs. Avarone Metals | Argosy Minerals vs. Elcora Advanced Materials |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
Other Complementary Tools
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |