Correlation Between Noram Lithium and Lithium Energi
Can any of the company-specific risk be diversified away by investing in both Noram Lithium and Lithium Energi 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 Noram Lithium and Lithium Energi into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Noram Lithium Corp and Lithium Energi Exploration, you can compare the effects of market volatilities on Noram Lithium and Lithium Energi 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 Noram Lithium with a short position of Lithium Energi. Check out your portfolio center. Please also check ongoing floating volatility patterns of Noram Lithium and Lithium Energi.
Diversification Opportunities for Noram Lithium and Lithium Energi
0.74 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Noram and Lithium is 0.74. Overlapping area represents the amount of risk that can be diversified away by holding Noram Lithium Corp and Lithium Energi Exploration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lithium Energi Explo and Noram Lithium 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 Noram Lithium Corp are associated (or correlated) with Lithium Energi. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lithium Energi Explo has no effect on the direction of Noram Lithium i.e., Noram Lithium and Lithium Energi go up and down completely randomly.
Pair Corralation between Noram Lithium and Lithium Energi
Assuming the 90 days horizon Noram Lithium Corp is expected to under-perform the Lithium Energi. But the stock apears to be less risky and, when comparing its historical volatility, Noram Lithium Corp is 4.77 times less risky than Lithium Energi. The stock trades about -0.29 of its potential returns per unit of risk. The Lithium Energi Exploration is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 4.00 in Lithium Energi Exploration on September 22, 2024 and sell it today you would lose (0.50) from holding Lithium Energi Exploration or give up 12.5% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 95.65% |
Values | Daily Returns |
Noram Lithium Corp vs. Lithium Energi Exploration
Performance |
Timeline |
Noram Lithium Corp |
Lithium Energi Explo |
Noram Lithium and Lithium Energi Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Noram Lithium and Lithium Energi
The main advantage of trading using opposite Noram Lithium and Lithium Energi positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Noram Lithium position performs unexpectedly, Lithium Energi 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 Lithium Energi will offset losses from the drop in Lithium Energi's long position.Noram Lithium vs. Iconic Minerals | Noram Lithium vs. Imagine Lithium | Noram Lithium vs. Grid Metals Corp | Noram Lithium vs. New Age Metals |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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