Correlation Between FRACTAL GAMING and Burlington Stores
Can any of the company-specific risk be diversified away by investing in both FRACTAL GAMING 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 FRACTAL GAMING and Burlington Stores into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FRACTAL GAMING GROUP and Burlington Stores, you can compare the effects of market volatilities on FRACTAL GAMING 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 FRACTAL GAMING with a short position of Burlington Stores. Check out your portfolio center. Please also check ongoing floating volatility patterns of FRACTAL GAMING and Burlington Stores.
Diversification Opportunities for FRACTAL GAMING and Burlington Stores
-0.8 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between FRACTAL and Burlington is -0.8. Overlapping area represents the amount of risk that can be diversified away by holding FRACTAL GAMING GROUP and Burlington Stores in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Burlington Stores and FRACTAL GAMING 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 FRACTAL GAMING GROUP 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 FRACTAL GAMING i.e., FRACTAL GAMING and Burlington Stores go up and down completely randomly.
Pair Corralation between FRACTAL GAMING and Burlington Stores
Assuming the 90 days horizon FRACTAL GAMING GROUP is expected to under-perform the Burlington Stores. But the stock apears to be less risky and, when comparing its historical volatility, FRACTAL GAMING GROUP is 1.4 times less risky than Burlington Stores. The stock trades about -0.08 of its potential returns per unit of risk. The Burlington Stores is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 24,400 in Burlington Stores on September 15, 2024 and sell it today you would earn a total of 3,000 from holding Burlington Stores or generate 12.3% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
FRACTAL GAMING GROUP vs. Burlington Stores
Performance |
Timeline |
FRACTAL GAMING GROUP |
Burlington Stores |
FRACTAL GAMING and Burlington Stores Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with FRACTAL GAMING and Burlington Stores
The main advantage of trading using opposite FRACTAL GAMING and Burlington Stores positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FRACTAL GAMING 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' long position.FRACTAL GAMING vs. Corsair Gaming | FRACTAL GAMING vs. Datalogic SpA | FRACTAL GAMING vs. Superior Plus Corp | FRACTAL GAMING vs. SIVERS SEMICONDUCTORS AB |
Burlington Stores vs. NEWELL RUBBERMAID | Burlington Stores vs. Summit Materials | Burlington Stores vs. GOODYEAR T RUBBER | Burlington Stores vs. Ares Management Corp |
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 ETF Categories module to list of ETF categories grouped based on various criteria, such as the investment strategy or type of investments.
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