Correlation Between IA Financial and Fjordland Exploration
Can any of the company-specific risk be diversified away by investing in both IA Financial and Fjordland Exploration 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 IA Financial and Fjordland Exploration into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between iA Financial and Fjordland Exploration, you can compare the effects of market volatilities on IA Financial and Fjordland Exploration 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 IA Financial with a short position of Fjordland Exploration. Check out your portfolio center. Please also check ongoing floating volatility patterns of IA Financial and Fjordland Exploration.
Diversification Opportunities for IA Financial and Fjordland Exploration
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between IAG and Fjordland is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding iA Financial and Fjordland Exploration in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Fjordland Exploration and IA Financial 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 iA Financial are associated (or correlated) with Fjordland Exploration. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Fjordland Exploration has no effect on the direction of IA Financial i.e., IA Financial and Fjordland Exploration go up and down completely randomly.
Pair Corralation between IA Financial and Fjordland Exploration
Assuming the 90 days trading horizon IA Financial is expected to generate 7.63 times less return on investment than Fjordland Exploration. But when comparing it to its historical volatility, iA Financial is 12.61 times less risky than Fjordland Exploration. It trades about 0.12 of its potential returns per unit of risk. Fjordland Exploration is currently generating about 0.07 of returns per unit of risk over similar time horizon. If you would invest 2.00 in Fjordland Exploration on October 24, 2024 and sell it today you would lose (1.00) from holding Fjordland Exploration or give up 50.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
iA Financial vs. Fjordland Exploration
Performance |
Timeline |
iA Financial |
Fjordland Exploration |
IA Financial and Fjordland Exploration Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with IA Financial and Fjordland Exploration
The main advantage of trading using opposite IA Financial and Fjordland Exploration positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if IA Financial position performs unexpectedly, Fjordland Exploration 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 Fjordland Exploration will offset losses from the drop in Fjordland Exploration's long position.IA Financial vs. Great West Lifeco | IA Financial vs. Intact Financial | IA Financial vs. IGM Financial | IA Financial vs. Sun Life Financial |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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