Correlation Between GigaMedia and Performance Food
Can any of the company-specific risk be diversified away by investing in both GigaMedia and Performance Food 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 GigaMedia and Performance Food into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GigaMedia and Performance Food Group, you can compare the effects of market volatilities on GigaMedia and Performance Food 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 GigaMedia with a short position of Performance Food. Check out your portfolio center. Please also check ongoing floating volatility patterns of GigaMedia and Performance Food.
Diversification Opportunities for GigaMedia and Performance Food
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between GigaMedia and Performance is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding GigaMedia and Performance Food Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Performance Food and GigaMedia 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 GigaMedia are associated (or correlated) with Performance Food. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Performance Food has no effect on the direction of GigaMedia i.e., GigaMedia and Performance Food go up and down completely randomly.
Pair Corralation between GigaMedia and Performance Food
Assuming the 90 days trading horizon GigaMedia is expected to generate 1.17 times more return on investment than Performance Food. However, GigaMedia is 1.17 times more volatile than Performance Food Group. It trades about 0.02 of its potential returns per unit of risk. Performance Food Group is currently generating about -0.14 per unit of risk. If you would invest 140.00 in GigaMedia on December 26, 2024 and sell it today you would earn a total of 2.00 from holding GigaMedia or generate 1.43% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
GigaMedia vs. Performance Food Group
Performance |
Timeline |
GigaMedia |
Performance Food |
GigaMedia and Performance Food Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GigaMedia and Performance Food
The main advantage of trading using opposite GigaMedia and Performance Food positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GigaMedia position performs unexpectedly, Performance Food 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 Performance Food will offset losses from the drop in Performance Food's long position.GigaMedia vs. MOUNT GIBSON IRON | GigaMedia vs. Check Point Software | GigaMedia vs. Daido Steel Co | GigaMedia vs. X FAB Silicon Foundries |
Performance Food vs. ZINC MEDIA GR | Performance Food vs. SPORT LISBOA E | Performance Food vs. Transport International Holdings | Performance Food vs. DICKS Sporting Goods |
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 Commodity Directory module to find actively traded commodities issued by global exchanges.
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