Correlation Between Imperial Oil and Synovus Financial
Can any of the company-specific risk be diversified away by investing in both Imperial Oil and Synovus 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 Imperial Oil and Synovus Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Imperial Oil Limited and Synovus Financial Corp, you can compare the effects of market volatilities on Imperial Oil and Synovus 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 Imperial Oil with a short position of Synovus Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Imperial Oil and Synovus Financial.
Diversification Opportunities for Imperial Oil and Synovus Financial
0.52 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Imperial and Synovus is 0.52. Overlapping area represents the amount of risk that can be diversified away by holding Imperial Oil Limited and Synovus Financial Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Synovus Financial Corp and Imperial Oil 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 Imperial Oil Limited are associated (or correlated) with Synovus Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Synovus Financial Corp has no effect on the direction of Imperial Oil i.e., Imperial Oil and Synovus Financial go up and down completely randomly.
Pair Corralation between Imperial Oil and Synovus Financial
Assuming the 90 days horizon Imperial Oil Limited is expected to generate 0.98 times more return on investment than Synovus Financial. However, Imperial Oil Limited is 1.02 times less risky than Synovus Financial. It trades about 0.1 of its potential returns per unit of risk. Synovus Financial Corp is currently generating about -0.07 per unit of risk. If you would invest 5,869 in Imperial Oil Limited on December 23, 2024 and sell it today you would earn a total of 685.00 from holding Imperial Oil Limited or generate 11.67% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Imperial Oil Limited vs. Synovus Financial Corp
Performance |
Timeline |
Imperial Oil Limited |
Synovus Financial Corp |
Imperial Oil and Synovus Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Imperial Oil and Synovus Financial
The main advantage of trading using opposite Imperial Oil and Synovus Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Imperial Oil position performs unexpectedly, Synovus 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 Synovus Financial will offset losses from the drop in Synovus Financial's long position.Imperial Oil vs. NorAm Drilling AS | Imperial Oil vs. Singapore Telecommunications Limited | Imperial Oil vs. Highlight Communications AG | Imperial Oil vs. SHELF DRILLING LTD |
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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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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