Correlation Between CleanTech Lithium and Silvercorp Metals
Can any of the company-specific risk be diversified away by investing in both CleanTech Lithium and Silvercorp 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 CleanTech Lithium and Silvercorp Metals into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CleanTech Lithium plc and Silvercorp Metals, you can compare the effects of market volatilities on CleanTech Lithium and Silvercorp 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 CleanTech Lithium with a short position of Silvercorp Metals. Check out your portfolio center. Please also check ongoing floating volatility patterns of CleanTech Lithium and Silvercorp Metals.
Diversification Opportunities for CleanTech Lithium and Silvercorp Metals
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between CleanTech and Silvercorp is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding CleanTech Lithium plc and Silvercorp Metals in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Silvercorp Metals and CleanTech 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 CleanTech Lithium plc are associated (or correlated) with Silvercorp Metals. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Silvercorp Metals has no effect on the direction of CleanTech Lithium i.e., CleanTech Lithium and Silvercorp Metals go up and down completely randomly.
Pair Corralation between CleanTech Lithium and Silvercorp Metals
Assuming the 90 days trading horizon CleanTech Lithium plc is expected to under-perform the Silvercorp Metals. In addition to that, CleanTech Lithium is 1.51 times more volatile than Silvercorp Metals. It trades about -0.22 of its total potential returns per unit of risk. Silvercorp Metals is currently generating about 0.12 per unit of volatility. If you would invest 455.00 in Silvercorp Metals on December 1, 2024 and sell it today you would earn a total of 83.00 from holding Silvercorp Metals or generate 18.24% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.39% |
Values | Daily Returns |
CleanTech Lithium plc vs. Silvercorp Metals
Performance |
Timeline |
CleanTech Lithium plc |
Silvercorp Metals |
CleanTech Lithium and Silvercorp Metals Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CleanTech Lithium and Silvercorp Metals
The main advantage of trading using opposite CleanTech Lithium and Silvercorp Metals positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CleanTech Lithium position performs unexpectedly, Silvercorp 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 Silvercorp Metals will offset losses from the drop in Silvercorp Metals' long position.CleanTech Lithium vs. Edita Food Industries | CleanTech Lithium vs. Smithson Investment Trust | CleanTech Lithium vs. Chrysalis Investments | CleanTech Lithium vs. Dairy Farm International |
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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 Exposure Probability module to analyze equity upside and downside potential for a given time horizon across multiple markets.
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