Correlation Between Martin Marietta and BANKINTER ADR
Can any of the company-specific risk be diversified away by investing in both Martin Marietta and BANKINTER ADR 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 Martin Marietta and BANKINTER ADR into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Martin Marietta Materials and BANKINTER ADR 2007, you can compare the effects of market volatilities on Martin Marietta and BANKINTER ADR 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 Martin Marietta with a short position of BANKINTER ADR. Check out your portfolio center. Please also check ongoing floating volatility patterns of Martin Marietta and BANKINTER ADR.
Diversification Opportunities for Martin Marietta and BANKINTER ADR
0.21 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Martin and BANKINTER is 0.21. Overlapping area represents the amount of risk that can be diversified away by holding Martin Marietta Materials and BANKINTER ADR 2007 in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BANKINTER ADR 2007 and Martin Marietta 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 Martin Marietta Materials are associated (or correlated) with BANKINTER ADR. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BANKINTER ADR 2007 has no effect on the direction of Martin Marietta i.e., Martin Marietta and BANKINTER ADR go up and down completely randomly.
Pair Corralation between Martin Marietta and BANKINTER ADR
Assuming the 90 days trading horizon Martin Marietta Materials is expected to under-perform the BANKINTER ADR. But the stock apears to be less risky and, when comparing its historical volatility, Martin Marietta Materials is 1.18 times less risky than BANKINTER ADR. The stock trades about -0.03 of its potential returns per unit of risk. The BANKINTER ADR 2007 is currently generating about 0.04 of returns per unit of risk over similar time horizon. If you would invest 658.00 in BANKINTER ADR 2007 on September 24, 2024 and sell it today you would earn a total of 62.00 from holding BANKINTER ADR 2007 or generate 9.42% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Martin Marietta Materials vs. BANKINTER ADR 2007
Performance |
Timeline |
Martin Marietta Materials |
BANKINTER ADR 2007 |
Martin Marietta and BANKINTER ADR Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Martin Marietta and BANKINTER ADR
The main advantage of trading using opposite Martin Marietta and BANKINTER ADR positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Martin Marietta position performs unexpectedly, BANKINTER ADR 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 BANKINTER ADR will offset losses from the drop in BANKINTER ADR's long position.Martin Marietta vs. Apple Inc | Martin Marietta vs. Apple Inc | Martin Marietta vs. Apple Inc | Martin Marietta vs. Apple Inc |
BANKINTER ADR vs. Apple Inc | BANKINTER ADR vs. Apple Inc | BANKINTER ADR vs. Apple Inc | BANKINTER ADR vs. Apple Inc |
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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