Correlation Between Bt Brands and RCI Hospitality
Can any of the company-specific risk be diversified away by investing in both Bt Brands and RCI Hospitality 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 Bt Brands and RCI Hospitality into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bt Brands and RCI Hospitality Holdings, you can compare the effects of market volatilities on Bt Brands and RCI Hospitality 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 Bt Brands with a short position of RCI Hospitality. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bt Brands and RCI Hospitality.
Diversification Opportunities for Bt Brands and RCI Hospitality
-0.16 | Correlation Coefficient |
Good diversification
The 3 months correlation between BTBD and RCI is -0.16. Overlapping area represents the amount of risk that can be diversified away by holding Bt Brands and RCI Hospitality Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on RCI Hospitality Holdings and Bt Brands 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 Bt Brands are associated (or correlated) with RCI Hospitality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of RCI Hospitality Holdings has no effect on the direction of Bt Brands i.e., Bt Brands and RCI Hospitality go up and down completely randomly.
Pair Corralation between Bt Brands and RCI Hospitality
Given the investment horizon of 90 days Bt Brands is expected to under-perform the RCI Hospitality. In addition to that, Bt Brands is 1.76 times more volatile than RCI Hospitality Holdings. It trades about -0.01 of its total potential returns per unit of risk. RCI Hospitality Holdings is currently generating about 0.17 per unit of volatility. If you would invest 4,396 in RCI Hospitality Holdings on August 26, 2024 and sell it today you would earn a total of 772.00 from holding RCI Hospitality Holdings or generate 17.56% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Bt Brands vs. RCI Hospitality Holdings
Performance |
| Timeline |
| Bt Brands |
| RCI Hospitality Holdings |
Bt Brands and RCI Hospitality Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Bt Brands and RCI Hospitality
The main advantage of trading using opposite Bt Brands and RCI Hospitality positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bt Brands position performs unexpectedly, RCI Hospitality 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 RCI Hospitality will offset losses from the drop in RCI Hospitality's long position.| Bt Brands vs. Alsea SAB de | Bt Brands vs. Marstons PLC | Bt Brands vs. Bagger Daves Burger | Bt Brands vs. Marstons PLC |
| RCI Hospitality vs. Brinker International | RCI Hospitality vs. Bloomin Brands | RCI Hospitality vs. BJs Restaurants | RCI Hospitality vs. Dennys 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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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