Correlation Between Global Battery and Sayona Mining
Can any of the company-specific risk be diversified away by investing in both Global Battery and Sayona Mining 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 Global Battery and Sayona Mining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Global Battery Metals and Sayona Mining Limited, you can compare the effects of market volatilities on Global Battery and Sayona Mining 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 Global Battery with a short position of Sayona Mining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Global Battery and Sayona Mining.
Diversification Opportunities for Global Battery and Sayona Mining
-0.08 | Correlation Coefficient |
Good diversification
The 3 months correlation between Global and Sayona is -0.08. Overlapping area represents the amount of risk that can be diversified away by holding Global Battery Metals and Sayona Mining Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sayona Mining Limited and Global 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 Global Battery Metals are associated (or correlated) with Sayona Mining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sayona Mining Limited has no effect on the direction of Global Battery i.e., Global Battery and Sayona Mining go up and down completely randomly.
Pair Corralation between Global Battery and Sayona Mining
Assuming the 90 days horizon Global Battery Metals is expected to generate 1.6 times more return on investment than Sayona Mining. However, Global Battery is 1.6 times more volatile than Sayona Mining Limited. It trades about 0.07 of its potential returns per unit of risk. Sayona Mining Limited is currently generating about -0.02 per unit of risk. If you would invest 1.45 in Global Battery Metals on September 27, 2024 and sell it today you would earn a total of 0.15 from holding Global Battery Metals or generate 10.34% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 98.44% |
Values | Daily Returns |
Global Battery Metals vs. Sayona Mining Limited
Performance |
Timeline |
Global Battery Metals |
Sayona Mining Limited |
Global Battery and Sayona Mining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Global Battery and Sayona Mining
The main advantage of trading using opposite Global Battery and Sayona Mining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Global Battery position performs unexpectedly, Sayona Mining 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 Sayona Mining will offset losses from the drop in Sayona Mining's long position.Global Battery vs. Puma Exploration | Global Battery vs. Sixty North Gold | Global Battery vs. Red Pine Exploration | Global Battery vs. Altamira Gold Corp |
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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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