Correlation Between Pacific Imperial and Income Financial
Can any of the company-specific risk be diversified away by investing in both Pacific Imperial and Income 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 Pacific Imperial and Income Financial into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Pacific Imperial Mines and Income Financial Trust, you can compare the effects of market volatilities on Pacific Imperial and Income 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 Pacific Imperial with a short position of Income Financial. Check out your portfolio center. Please also check ongoing floating volatility patterns of Pacific Imperial and Income Financial.
Diversification Opportunities for Pacific Imperial and Income Financial
-0.24 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Pacific and Income is -0.24. Overlapping area represents the amount of risk that can be diversified away by holding Pacific Imperial Mines and Income Financial Trust in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Income Financial Trust and Pacific Imperial 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 Pacific Imperial Mines are associated (or correlated) with Income Financial. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Income Financial Trust has no effect on the direction of Pacific Imperial i.e., Pacific Imperial and Income Financial go up and down completely randomly.
Pair Corralation between Pacific Imperial and Income Financial
Assuming the 90 days horizon Pacific Imperial Mines is expected to generate 7.96 times more return on investment than Income Financial. However, Pacific Imperial is 7.96 times more volatile than Income Financial Trust. It trades about 0.21 of its potential returns per unit of risk. Income Financial Trust is currently generating about 0.05 per unit of risk. If you would invest 1.00 in Pacific Imperial Mines on September 13, 2024 and sell it today you would earn a total of 0.50 from holding Pacific Imperial Mines or generate 50.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Pacific Imperial Mines vs. Income Financial Trust
Performance |
Timeline |
Pacific Imperial Mines |
Income Financial Trust |
Pacific Imperial and Income Financial Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Pacific Imperial and Income Financial
The main advantage of trading using opposite Pacific Imperial and Income Financial positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Pacific Imperial position performs unexpectedly, Income 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 Income Financial will offset losses from the drop in Income Financial's long position.Pacific Imperial vs. Royal Bank of | Pacific Imperial vs. Canadian Imperial Bank | Pacific Imperial vs. US Financial 15 | Pacific Imperial vs. Fairfax Financial Holdings |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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