Correlation Between SERI INDUSTRIAL and BRIT AMER
Can any of the company-specific risk be diversified away by investing in both SERI INDUSTRIAL and BRIT AMER 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 SERI INDUSTRIAL and BRIT AMER into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SERI INDUSTRIAL EO and BRIT AMER TOBACCO, you can compare the effects of market volatilities on SERI INDUSTRIAL and BRIT AMER 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 SERI INDUSTRIAL with a short position of BRIT AMER. Check out your portfolio center. Please also check ongoing floating volatility patterns of SERI INDUSTRIAL and BRIT AMER.
Diversification Opportunities for SERI INDUSTRIAL and BRIT AMER
0.34 | Correlation Coefficient |
Weak diversification
The 3 months correlation between SERI and BRIT is 0.34. Overlapping area represents the amount of risk that can be diversified away by holding SERI INDUSTRIAL EO and BRIT AMER TOBACCO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BRIT AMER TOBACCO and SERI INDUSTRIAL 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 SERI INDUSTRIAL EO are associated (or correlated) with BRIT AMER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BRIT AMER TOBACCO has no effect on the direction of SERI INDUSTRIAL i.e., SERI INDUSTRIAL and BRIT AMER go up and down completely randomly.
Pair Corralation between SERI INDUSTRIAL and BRIT AMER
Assuming the 90 days trading horizon SERI INDUSTRIAL is expected to generate 1.93 times less return on investment than BRIT AMER. In addition to that, SERI INDUSTRIAL is 4.01 times more volatile than BRIT AMER TOBACCO. It trades about 0.05 of its total potential returns per unit of risk. BRIT AMER TOBACCO is currently generating about 0.38 per unit of volatility. If you would invest 3,203 in BRIT AMER TOBACCO on September 1, 2024 and sell it today you would earn a total of 388.00 from holding BRIT AMER TOBACCO or generate 12.11% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
SERI INDUSTRIAL EO vs. BRIT AMER TOBACCO
Performance |
| Timeline |
| SERI INDUSTRIAL EO |
| BRIT AMER TOBACCO |
SERI INDUSTRIAL and BRIT AMER Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with SERI INDUSTRIAL and BRIT AMER
The main advantage of trading using opposite SERI INDUSTRIAL and BRIT AMER positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SERI INDUSTRIAL position performs unexpectedly, BRIT AMER 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 BRIT AMER will offset losses from the drop in BRIT AMER's long position.| SERI INDUSTRIAL vs. Apple Inc | SERI INDUSTRIAL vs. Apple Inc | SERI INDUSTRIAL vs. Apple Inc | SERI INDUSTRIAL vs. Apple Inc |
| BRIT AMER vs. Enter Air SA | BRIT AMER vs. International Consolidated Airlines | BRIT AMER vs. FORWARD AIR P | BRIT AMER vs. Norwegian Air Shuttle |
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 Equity Valuation module to check real value of public entities based on technical and fundamental data.
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