Correlation Between LPL Financial and Martin Marietta
Can any of the company-specific risk be diversified away by investing in both LPL Financial and Martin Marietta 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 LPL Financial and Martin Marietta into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between LPL Financial Holdings and Martin Marietta Materials,, you can compare the effects of market volatilities on LPL Financial and Martin Marietta 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 LPL Financial with a short position of Martin Marietta. Check out your portfolio center. Please also check ongoing floating volatility patterns of LPL Financial and Martin Marietta.
Diversification Opportunities for LPL Financial and Martin Marietta
0.76 | Correlation Coefficient |
Poor diversification
The 3 months correlation between LPL and Martin is 0.76. Overlapping area represents the amount of risk that can be diversified away by holding LPL Financial Holdings and Martin Marietta Materials, in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Martin Marietta Mate and LPL Financial 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 LPL Financial Holdings are associated (or correlated) with Martin Marietta. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Martin Marietta Mate has no effect on the direction of LPL Financial i.e., LPL Financial and Martin Marietta go up and down completely randomly.
Pair Corralation between LPL Financial and Martin Marietta
Assuming the 90 days trading horizon LPL Financial Holdings is expected to generate 2.02 times more return on investment than Martin Marietta. However, LPL Financial is 2.02 times more volatile than Martin Marietta Materials,. It trades about 0.1 of its potential returns per unit of risk. Martin Marietta Materials, is currently generating about 0.06 per unit of risk. If you would invest 6,562 in LPL Financial Holdings on October 11, 2024 and sell it today you would earn a total of 4,758 from holding LPL Financial Holdings or generate 72.51% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 39.8% |
Values | Daily Returns |
LPL Financial Holdings vs. Martin Marietta Materials,
Performance |
Timeline |
LPL Financial Holdings |
Martin Marietta Mate |
LPL Financial and Martin Marietta Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with LPL Financial and Martin Marietta
The main advantage of trading using opposite LPL Financial and Martin Marietta positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if LPL Financial position performs unexpectedly, Martin Marietta 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 Martin Marietta will offset losses from the drop in Martin Marietta's long position.LPL Financial vs. Taiwan Semiconductor Manufacturing | LPL Financial vs. Apple Inc | LPL Financial vs. Alibaba Group Holding | LPL Financial vs. Banco Santander Chile |
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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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