Correlation Between Lithium Australia and Mundoro Capital
Can any of the company-specific risk be diversified away by investing in both Lithium Australia and Mundoro Capital 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 Lithium Australia and Mundoro Capital into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Lithium Australia NL and Mundoro Capital, you can compare the effects of market volatilities on Lithium Australia and Mundoro Capital 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 Lithium Australia with a short position of Mundoro Capital. Check out your portfolio center. Please also check ongoing floating volatility patterns of Lithium Australia and Mundoro Capital.
Diversification Opportunities for Lithium Australia and Mundoro Capital
-0.25 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Lithium and Mundoro is -0.25. Overlapping area represents the amount of risk that can be diversified away by holding Lithium Australia NL and Mundoro Capital in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mundoro Capital and Lithium Australia 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 Lithium Australia NL are associated (or correlated) with Mundoro Capital. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mundoro Capital has no effect on the direction of Lithium Australia i.e., Lithium Australia and Mundoro Capital go up and down completely randomly.
Pair Corralation between Lithium Australia and Mundoro Capital
Assuming the 90 days horizon Lithium Australia NL is expected to generate 38.64 times more return on investment than Mundoro Capital. However, Lithium Australia is 38.64 times more volatile than Mundoro Capital. It trades about 0.11 of its potential returns per unit of risk. Mundoro Capital is currently generating about -0.02 per unit of risk. If you would invest 0.79 in Lithium Australia NL on September 3, 2024 and sell it today you would lose (0.09) from holding Lithium Australia NL or give up 11.39% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Lithium Australia NL vs. Mundoro Capital
Performance |
Timeline |
Lithium Australia |
Mundoro Capital |
Lithium Australia and Mundoro Capital Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Lithium Australia and Mundoro Capital
The main advantage of trading using opposite Lithium Australia and Mundoro Capital positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Lithium Australia position performs unexpectedly, Mundoro Capital 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 Mundoro Capital will offset losses from the drop in Mundoro Capital's long position.Lithium Australia vs. Grid Metals Corp | Lithium Australia vs. Latin Metals | Lithium Australia vs. First American Silver | Lithium Australia vs. IGO Limited |
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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 Volatility Analysis module to get historical volatility and risk analysis based on latest market data.
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