Correlation Between BGF Retail and Clean Science
Can any of the company-specific risk be diversified away by investing in both BGF Retail and Clean Science 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 BGF Retail and Clean Science into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BGF Retail Co and Clean Science co, you can compare the effects of market volatilities on BGF Retail and Clean Science 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 BGF Retail with a short position of Clean Science. Check out your portfolio center. Please also check ongoing floating volatility patterns of BGF Retail and Clean Science.
Diversification Opportunities for BGF Retail and Clean Science
-0.07 | Correlation Coefficient |
Good diversification
The 3 months correlation between BGF and Clean is -0.07. Overlapping area represents the amount of risk that can be diversified away by holding BGF Retail Co and Clean Science co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clean Science co and BGF Retail 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 BGF Retail Co are associated (or correlated) with Clean Science. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clean Science co has no effect on the direction of BGF Retail i.e., BGF Retail and Clean Science go up and down completely randomly.
Pair Corralation between BGF Retail and Clean Science
Assuming the 90 days trading horizon BGF Retail is expected to generate 1.32 times less return on investment than Clean Science. But when comparing it to its historical volatility, BGF Retail Co is 1.41 times less risky than Clean Science. It trades about 0.12 of its potential returns per unit of risk. Clean Science co is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 438,000 in Clean Science co on December 30, 2024 and sell it today you would earn a total of 60,500 from holding Clean Science co or generate 13.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
BGF Retail Co vs. Clean Science co
Performance |
Timeline |
BGF Retail |
Clean Science co |
BGF Retail and Clean Science Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BGF Retail and Clean Science
The main advantage of trading using opposite BGF Retail and Clean Science positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BGF Retail position performs unexpectedly, Clean Science 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 Clean Science will offset losses from the drop in Clean Science's long position.BGF Retail vs. Tuksu Engineering ConstructionLtd | BGF Retail vs. Sangsin Energy Display | BGF Retail vs. Inzi Display CoLtd | BGF Retail vs. Korea Shipbuilding Offshore |
Clean Science vs. Shinil Industrial Co | Clean Science vs. Taegu Broadcasting | Clean Science vs. Samhwa Paint Industrial | Clean Science vs. Lee Ku Industrial |
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 Channel module to use Commodity Channel Index to analyze current equity momentum.
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