Correlation Between GigaMedia and BURLINGTON STORES
Can any of the company-specific risk be diversified away by investing in both GigaMedia and BURLINGTON STORES 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 BURLINGTON STORES into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between GigaMedia and BURLINGTON STORES, you can compare the effects of market volatilities on GigaMedia and BURLINGTON STORES 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 BURLINGTON STORES. Check out your portfolio center. Please also check ongoing floating volatility patterns of GigaMedia and BURLINGTON STORES.
Diversification Opportunities for GigaMedia and BURLINGTON STORES
0.28 | Correlation Coefficient |
Modest diversification
The 3 months correlation between GigaMedia and BURLINGTON is 0.28. Overlapping area represents the amount of risk that can be diversified away by holding GigaMedia and BURLINGTON STORES in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BURLINGTON STORES 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 BURLINGTON STORES. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BURLINGTON STORES has no effect on the direction of GigaMedia i.e., GigaMedia and BURLINGTON STORES go up and down completely randomly.
Pair Corralation between GigaMedia and BURLINGTON STORES
Assuming the 90 days trading horizon GigaMedia is expected to generate 1.18 times more return on investment than BURLINGTON STORES. However, GigaMedia is 1.18 times more volatile than BURLINGTON STORES. It trades about 0.26 of its potential returns per unit of risk. BURLINGTON STORES is currently generating about 0.24 per unit of risk. If you would invest 120.00 in GigaMedia on August 25, 2024 and sell it today you would earn a total of 16.00 from holding GigaMedia or generate 13.33% 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. BURLINGTON STORES
Performance |
Timeline |
GigaMedia |
BURLINGTON STORES |
GigaMedia and BURLINGTON STORES Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GigaMedia and BURLINGTON STORES
The main advantage of trading using opposite GigaMedia and BURLINGTON STORES positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GigaMedia position performs unexpectedly, BURLINGTON STORES 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 BURLINGTON STORES will offset losses from the drop in BURLINGTON STORES's long position.The idea behind GigaMedia and BURLINGTON STORES pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.BURLINGTON STORES vs. Apple Inc | BURLINGTON STORES vs. Apple Inc | BURLINGTON STORES vs. Apple Inc | BURLINGTON STORES vs. Apple Inc |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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