Correlation Between MCBC Holdings and Marine Products
Can any of the company-specific risk be diversified away by investing in both MCBC Holdings and Marine Products 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 MCBC Holdings and Marine Products into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between MCBC Holdings and Marine Products, you can compare the effects of market volatilities on MCBC Holdings and Marine Products 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 MCBC Holdings with a short position of Marine Products. Check out your portfolio center. Please also check ongoing floating volatility patterns of MCBC Holdings and Marine Products.
Diversification Opportunities for MCBC Holdings and Marine Products
0.64 | Correlation Coefficient |
Poor diversification
The 3 months correlation between MCBC and Marine is 0.64. Overlapping area represents the amount of risk that can be diversified away by holding MCBC Holdings and Marine Products in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Marine Products and MCBC Holdings 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 MCBC Holdings are associated (or correlated) with Marine Products. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Marine Products has no effect on the direction of MCBC Holdings i.e., MCBC Holdings and Marine Products go up and down completely randomly.
Pair Corralation between MCBC Holdings and Marine Products
Given the investment horizon of 90 days MCBC Holdings is expected to generate 3.4 times more return on investment than Marine Products. However, MCBC Holdings is 3.4 times more volatile than Marine Products. It trades about 0.22 of its potential returns per unit of risk. Marine Products is currently generating about 0.25 per unit of risk. If you would invest 1,741 in MCBC Holdings on August 27, 2024 and sell it today you would earn a total of 447.00 from holding MCBC Holdings or generate 25.67% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
MCBC Holdings vs. Marine Products
Performance |
| Timeline |
| MCBC Holdings |
| Marine Products |
MCBC Holdings and Marine Products Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with MCBC Holdings and Marine Products
The main advantage of trading using opposite MCBC Holdings and Marine Products positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if MCBC Holdings position performs unexpectedly, Marine Products 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 Marine Products will offset losses from the drop in Marine Products' long position.| MCBC Holdings vs. Malibu Boats | MCBC Holdings vs. Onewater Marine | MCBC Holdings vs. Heidrick Struggles International | MCBC Holdings vs. Johnson Outdoors |
| Marine Products vs. Thor Industries | Marine Products vs. BRP Inc | Marine Products vs. Brunswick | Marine Products vs. EZGO Technologies |
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 Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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