Correlation Between Bank of New York Mellon and MTI INVESTMENT
Can any of the company-specific risk be diversified away by investing in both Bank of New York Mellon and MTI INVESTMENT 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 Bank of New York Mellon and MTI INVESTMENT into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between The Bank of and MTI INVESTMENT SE, you can compare the effects of market volatilities on Bank of New York Mellon and MTI INVESTMENT 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 Bank of New York Mellon with a short position of MTI INVESTMENT. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank of New York Mellon and MTI INVESTMENT.
Diversification Opportunities for Bank of New York Mellon and MTI INVESTMENT
-0.84 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Bank and MTI is -0.84. Overlapping area represents the amount of risk that can be diversified away by holding The Bank of and MTI INVESTMENT SE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MTI INVESTMENT SE and Bank of New York Mellon 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 The Bank of are associated (or correlated) with MTI INVESTMENT. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MTI INVESTMENT SE has no effect on the direction of Bank of New York Mellon i.e., Bank of New York Mellon and MTI INVESTMENT go up and down completely randomly.
Pair Corralation between Bank of New York Mellon and MTI INVESTMENT
Assuming the 90 days horizon The Bank of is expected to generate 0.52 times more return on investment than MTI INVESTMENT. However, The Bank of is 1.92 times less risky than MTI INVESTMENT. It trades about 0.15 of its potential returns per unit of risk. MTI INVESTMENT SE is currently generating about -0.1 per unit of risk. If you would invest 6,870 in The Bank of on October 6, 2024 and sell it today you would earn a total of 619.00 from holding The Bank of or generate 9.01% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
The Bank of vs. MTI INVESTMENT SE
Performance |
Timeline |
Bank of New York Mellon |
MTI INVESTMENT SE |
Bank of New York Mellon and MTI INVESTMENT Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank of New York Mellon and MTI INVESTMENT
The main advantage of trading using opposite Bank of New York Mellon and MTI INVESTMENT positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank of New York Mellon position performs unexpectedly, MTI INVESTMENT 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 MTI INVESTMENT will offset losses from the drop in MTI INVESTMENT's long position.Bank of New York Mellon vs. Fukuyama Transporting Co | Bank of New York Mellon vs. SCIENCE IN SPORT | Bank of New York Mellon vs. JD SPORTS FASH | Bank of New York Mellon vs. ANGLO ASIAN MINING |
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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 Alpha Finder module to use alpha and beta coefficients to find investment opportunities after accounting for the risk.
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