Correlation Between STORE ELECTRONIC and PF Bakkafrost
Can any of the company-specific risk be diversified away by investing in both STORE ELECTRONIC and PF Bakkafrost 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 STORE ELECTRONIC and PF Bakkafrost into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STORE ELECTRONIC and PF Bakkafrost, you can compare the effects of market volatilities on STORE ELECTRONIC and PF Bakkafrost 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 STORE ELECTRONIC with a short position of PF Bakkafrost. Check out your portfolio center. Please also check ongoing floating volatility patterns of STORE ELECTRONIC and PF Bakkafrost.
Diversification Opportunities for STORE ELECTRONIC and PF Bakkafrost
-0.72 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between STORE and 6BF is -0.72. Overlapping area represents the amount of risk that can be diversified away by holding STORE ELECTRONIC and PF Bakkafrost in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on PF Bakkafrost and STORE ELECTRONIC 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 STORE ELECTRONIC are associated (or correlated) with PF Bakkafrost. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of PF Bakkafrost has no effect on the direction of STORE ELECTRONIC i.e., STORE ELECTRONIC and PF Bakkafrost go up and down completely randomly.
Pair Corralation between STORE ELECTRONIC and PF Bakkafrost
Assuming the 90 days trading horizon STORE ELECTRONIC is expected to generate 1.87 times more return on investment than PF Bakkafrost. However, STORE ELECTRONIC is 1.87 times more volatile than PF Bakkafrost. It trades about 0.03 of its potential returns per unit of risk. PF Bakkafrost is currently generating about 0.02 per unit of risk. If you would invest 16,223 in STORE ELECTRONIC on October 24, 2024 and sell it today you would earn a total of 507.00 from holding STORE ELECTRONIC or generate 3.13% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
STORE ELECTRONIC vs. PF Bakkafrost
Performance |
Timeline |
STORE ELECTRONIC |
PF Bakkafrost |
STORE ELECTRONIC and PF Bakkafrost Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with STORE ELECTRONIC and PF Bakkafrost
The main advantage of trading using opposite STORE ELECTRONIC and PF Bakkafrost positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STORE ELECTRONIC position performs unexpectedly, PF Bakkafrost 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 PF Bakkafrost will offset losses from the drop in PF Bakkafrost's long position.STORE ELECTRONIC vs. SLR Investment Corp | STORE ELECTRONIC vs. MGIC INVESTMENT | STORE ELECTRONIC vs. MidCap Financial Investment | STORE ELECTRONIC vs. Apollo Investment Corp |
PF Bakkafrost vs. SUN LIFE FINANCIAL | PF Bakkafrost vs. MHP Hotel AG | PF Bakkafrost vs. United Insurance Holdings | PF Bakkafrost vs. Dalata Hotel Group |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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