Correlation Between BNY Mellon and IShares MSCI
Can any of the company-specific risk be diversified away by investing in both BNY Mellon and IShares MSCI 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 BNY Mellon and IShares MSCI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BNY Mellon International and iShares MSCI Intl, you can compare the effects of market volatilities on BNY Mellon and IShares MSCI 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 BNY Mellon with a short position of IShares MSCI. Check out your portfolio center. Please also check ongoing floating volatility patterns of BNY Mellon and IShares MSCI.
Diversification Opportunities for BNY Mellon and IShares MSCI
0.98 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between BNY and IShares is 0.98. Overlapping area represents the amount of risk that can be diversified away by holding BNY Mellon International and iShares MSCI Intl in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on iShares MSCI Intl and BNY 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 BNY Mellon International are associated (or correlated) with IShares MSCI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of iShares MSCI Intl has no effect on the direction of BNY Mellon i.e., BNY Mellon and IShares MSCI go up and down completely randomly.
Pair Corralation between BNY Mellon and IShares MSCI
Given the investment horizon of 90 days BNY Mellon International is expected to generate 0.97 times more return on investment than IShares MSCI. However, BNY Mellon International is 1.03 times less risky than IShares MSCI. It trades about 0.15 of its potential returns per unit of risk. iShares MSCI Intl is currently generating about 0.11 per unit of risk. If you would invest 7,289 in BNY Mellon International on December 27, 2024 and sell it today you would earn a total of 570.00 from holding BNY Mellon International or generate 7.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
BNY Mellon International vs. iShares MSCI Intl
Performance |
Timeline |
BNY Mellon International |
iShares MSCI Intl |
BNY Mellon and IShares MSCI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BNY Mellon and IShares MSCI
The main advantage of trading using opposite BNY Mellon and IShares MSCI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BNY Mellon position performs unexpectedly, IShares MSCI 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 IShares MSCI will offset losses from the drop in IShares MSCI's long position.BNY Mellon vs. BNY Mellon ETF | BNY Mellon vs. BNY Mellon Large | BNY Mellon vs. BNY Mellon Mid | BNY Mellon vs. BNY Mellon High |
IShares MSCI vs. iShares Currency Hedged | IShares MSCI vs. iShares MSCI USA | IShares MSCI vs. iShares Edge MSCI | IShares MSCI vs. iShares MSCI Intl |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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