Correlation Between ARROW ELECTRONICS and CDN IMPERIAL
Can any of the company-specific risk be diversified away by investing in both ARROW ELECTRONICS and CDN IMPERIAL 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 ARROW ELECTRONICS and CDN IMPERIAL into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ARROW ELECTRONICS and CDN IMPERIAL BANK, you can compare the effects of market volatilities on ARROW ELECTRONICS and CDN IMPERIAL 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 ARROW ELECTRONICS with a short position of CDN IMPERIAL. Check out your portfolio center. Please also check ongoing floating volatility patterns of ARROW ELECTRONICS and CDN IMPERIAL.
Diversification Opportunities for ARROW ELECTRONICS and CDN IMPERIAL
0.72 | Correlation Coefficient |
Poor diversification
The 3 months correlation between ARROW and CDN is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding ARROW ELECTRONICS and CDN IMPERIAL BANK in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CDN IMPERIAL BANK and ARROW ELECTRONICS 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 ARROW ELECTRONICS are associated (or correlated) with CDN IMPERIAL. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CDN IMPERIAL BANK has no effect on the direction of ARROW ELECTRONICS i.e., ARROW ELECTRONICS and CDN IMPERIAL go up and down completely randomly.
Pair Corralation between ARROW ELECTRONICS and CDN IMPERIAL
Assuming the 90 days trading horizon ARROW ELECTRONICS is expected to under-perform the CDN IMPERIAL. But the stock apears to be less risky and, when comparing its historical volatility, ARROW ELECTRONICS is 1.0 times less risky than CDN IMPERIAL. The stock trades about -0.11 of its potential returns per unit of risk. The CDN IMPERIAL BANK is currently generating about -0.05 of returns per unit of risk over similar time horizon. If you would invest 6,011 in CDN IMPERIAL BANK on December 2, 2024 and sell it today you would lose (259.00) from holding CDN IMPERIAL BANK or give up 4.31% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
ARROW ELECTRONICS vs. CDN IMPERIAL BANK
Performance |
Timeline |
ARROW ELECTRONICS |
CDN IMPERIAL BANK |
ARROW ELECTRONICS and CDN IMPERIAL Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ARROW ELECTRONICS and CDN IMPERIAL
The main advantage of trading using opposite ARROW ELECTRONICS and CDN IMPERIAL positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ARROW ELECTRONICS position performs unexpectedly, CDN IMPERIAL 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 CDN IMPERIAL will offset losses from the drop in CDN IMPERIAL's long position.ARROW ELECTRONICS vs. Infrastrutture Wireless Italiane | ARROW ELECTRONICS vs. Cairo Communication SpA | ARROW ELECTRONICS vs. FIH MOBILE | ARROW ELECTRONICS vs. Tower One Wireless |
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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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