Correlation Between NYLI MacKay and Goldman Sachs
Can any of the company-specific risk be diversified away by investing in both NYLI MacKay and Goldman Sachs 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 NYLI MacKay and Goldman Sachs into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYLI MacKay Core and Goldman Sachs Access, you can compare the effects of market volatilities on NYLI MacKay and Goldman Sachs 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 NYLI MacKay with a short position of Goldman Sachs. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYLI MacKay and Goldman Sachs.
Diversification Opportunities for NYLI MacKay and Goldman Sachs
0.96 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between NYLI and Goldman is 0.96. Overlapping area represents the amount of risk that can be diversified away by holding NYLI MacKay Core and Goldman Sachs Access in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Goldman Sachs Access and NYLI MacKay 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 NYLI MacKay Core are associated (or correlated) with Goldman Sachs. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Goldman Sachs Access has no effect on the direction of NYLI MacKay i.e., NYLI MacKay and Goldman Sachs go up and down completely randomly.
Pair Corralation between NYLI MacKay and Goldman Sachs
Given the investment horizon of 90 days NYLI MacKay Core is expected to generate 0.69 times more return on investment than Goldman Sachs. However, NYLI MacKay Core is 1.45 times less risky than Goldman Sachs. It trades about -0.07 of its potential returns per unit of risk. Goldman Sachs Access is currently generating about -0.14 per unit of risk. If you would invest 2,091 in NYLI MacKay Core on October 11, 2024 and sell it today you would lose (15.00) from holding NYLI MacKay Core or give up 0.72% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
NYLI MacKay Core vs. Goldman Sachs Access
Performance |
Timeline |
NYLI MacKay Core |
Goldman Sachs Access |
NYLI MacKay and Goldman Sachs Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NYLI MacKay and Goldman Sachs
The main advantage of trading using opposite NYLI MacKay and Goldman Sachs positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYLI MacKay position performs unexpectedly, Goldman Sachs 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 Goldman Sachs will offset losses from the drop in Goldman Sachs' long position.NYLI MacKay vs. MFS Active Exchange | NYLI MacKay vs. First Trust Exchange Traded | NYLI MacKay vs. Vanguard Intermediate Term Treasury | NYLI MacKay vs. Vanguard Long Term Treasury |
Goldman Sachs vs. Goldman Sachs Access | Goldman Sachs vs. Goldman Sachs Access | Goldman Sachs vs. Goldman Sachs ActiveBeta | Goldman Sachs vs. Goldman Sachs ActiveBeta |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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