Correlation Between Neo Battery and Sherritt International
Can any of the company-specific risk be diversified away by investing in both Neo Battery and Sherritt International 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 Neo Battery and Sherritt International into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Neo Battery Materials and Sherritt International, you can compare the effects of market volatilities on Neo Battery and Sherritt International 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 Neo Battery with a short position of Sherritt International. Check out your portfolio center. Please also check ongoing floating volatility patterns of Neo Battery and Sherritt International.
Diversification Opportunities for Neo Battery and Sherritt International
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Neo and Sherritt is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Neo Battery Materials and Sherritt International in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sherritt International and Neo Battery 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 Neo Battery Materials are associated (or correlated) with Sherritt International. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sherritt International has no effect on the direction of Neo Battery i.e., Neo Battery and Sherritt International go up and down completely randomly.
Pair Corralation between Neo Battery and Sherritt International
Assuming the 90 days horizon Neo Battery Materials is expected to generate 4.96 times more return on investment than Sherritt International. However, Neo Battery is 4.96 times more volatile than Sherritt International. It trades about 0.33 of its potential returns per unit of risk. Sherritt International is currently generating about -0.32 per unit of risk. If you would invest 28.00 in Neo Battery Materials on September 5, 2024 and sell it today you would earn a total of 27.00 from holding Neo Battery Materials or generate 96.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 91.3% |
Values | Daily Returns |
Neo Battery Materials vs. Sherritt International
Performance |
Timeline |
Neo Battery Materials |
Sherritt International |
Neo Battery and Sherritt International Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Neo Battery and Sherritt International
The main advantage of trading using opposite Neo Battery and Sherritt International positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Neo Battery position performs unexpectedly, Sherritt International 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 Sherritt International will offset losses from the drop in Sherritt International's long position.Neo Battery vs. Pampa Metals | Neo Battery vs. Pegasus Resources | Neo Battery vs. Red Moon Resources | Neo Battery vs. Sherritt 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 Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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