Correlation Between Precious Metals and IA Financial
Can any of the company-specific risk be diversified away by investing in both Precious Metals and IA Financial 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 Precious Metals and IA Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Precious Metals And and iA Financial, you can compare the effects of market volatilities on Precious Metals and IA Financial 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 Precious Metals with a short position of IA Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Precious Metals and IA Financial.
Diversification Opportunities for Precious Metals and IA Financial
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Precious and IAG is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Precious Metals And and iA Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iA Financial and Precious Metals 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 Precious Metals And are associated (or correlated) with IA Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iA Financial has no effect on the direction of Precious Metals i.e., Precious Metals and IA Financial go up and down completely randomly.
Pair Corralation between Precious Metals and IA Financial
Assuming the 90 days trading horizon Precious Metals And is expected to generate 2.34 times more return on investment than IA Financial. However, Precious Metals is 2.34 times more volatile than iA Financial. It trades about 0.09 of its potential returns per unit of risk. iA Financial is currently generating about 0.1 per unit of risk. If you would invest 173.00 in Precious Metals And on September 15, 2024 and sell it today you would earn a total of 7.00 from holding Precious Metals And or generate 4.05% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Precious Metals And vs. iA Financial
Performance |
Timeline |
Precious Metals And |
iA Financial |
Precious Metals and IA Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Precious Metals and IA Financial
The main advantage of trading using opposite Precious Metals and IA Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Precious Metals position performs unexpectedly, IA Financial 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 IA Financial will offset losses from the drop in IA Financial's long position.Precious Metals vs. Berkshire Hathaway CDR | Precious Metals vs. E L Financial Corp | Precious Metals vs. E L Financial 3 | Precious Metals vs. Molson Coors Canada |
IA Financial vs. Intact Financial | IA Financial vs. IGM Financial | IA Financial vs. Sun Life Financial | IA Financial vs. Laurentian Bank |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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