Correlation Between Olympia Financial and Canso Credit
Can any of the company-specific risk be diversified away by investing in both Olympia Financial and Canso Credit 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 Olympia Financial and Canso Credit into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Olympia Financial Group and Canso Credit Trust, you can compare the effects of market volatilities on Olympia Financial and Canso Credit 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 Olympia Financial with a short position of Canso Credit. Check out your portfolio center. Please also check ongoing floating volatility patterns of Olympia Financial and Canso Credit.
Diversification Opportunities for Olympia Financial and Canso Credit
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between Olympia and Canso is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Olympia Financial Group and Canso Credit Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Canso Credit Trust and Olympia 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 Olympia Financial Group are associated (or correlated) with Canso Credit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Canso Credit Trust has no effect on the direction of Olympia Financial i.e., Olympia Financial and Canso Credit go up and down completely randomly.
Pair Corralation between Olympia Financial and Canso Credit
Assuming the 90 days trading horizon Olympia Financial Group is expected to generate 3.62 times more return on investment than Canso Credit. However, Olympia Financial is 3.62 times more volatile than Canso Credit Trust. It trades about 0.15 of its potential returns per unit of risk. Canso Credit Trust is currently generating about 0.19 per unit of risk. If you would invest 9,645 in Olympia Financial Group on August 31, 2024 and sell it today you would earn a total of 430.00 from holding Olympia Financial Group or generate 4.46% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Olympia Financial Group vs. Canso Credit Trust
Performance |
Timeline |
Olympia Financial |
Canso Credit Trust |
Olympia Financial and Canso Credit Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Olympia Financial and Canso Credit
The main advantage of trading using opposite Olympia Financial and Canso Credit positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Olympia Financial position performs unexpectedly, Canso Credit 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 Canso Credit will offset losses from the drop in Canso Credit's long position.Olympia Financial vs. iShares Canadian HYBrid | Olympia Financial vs. Brompton European Dividend | Olympia Financial vs. Solar Alliance Energy | Olympia Financial vs. PHN Multi Style All Cap |
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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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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