Correlation Between Goldman Sachs and Lord Abbett
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Lord Abbett 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 Goldman Sachs and Lord Abbett into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs High and Lord Abbett Health, you can compare the effects of market volatilities on Goldman Sachs and Lord Abbett 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 Goldman Sachs with a short position of Lord Abbett. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Lord Abbett.
Diversification Opportunities for Goldman Sachs and Lord Abbett
-0.06 | Correlation Coefficient |
Good diversification
The 3 months correlation between GOLDMAN and Lord is -0.06. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs High and Lord Abbett Health in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Lord Abbett Health and Goldman Sachs 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 Goldman Sachs High are associated (or correlated) with Lord Abbett. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Lord Abbett Health has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Lord Abbett go up and down completely randomly.
Pair Corralation between Goldman Sachs and Lord Abbett
Assuming the 90 days horizon Goldman Sachs is expected to generate 7.53 times less return on investment than Lord Abbett. But when comparing it to its historical volatility, Goldman Sachs High is 9.19 times less risky than Lord Abbett. It trades about 0.14 of its potential returns per unit of risk. Lord Abbett Health is currently generating about 0.11 of returns per unit of risk over similar time horizon. If you would invest 2,005 in Lord Abbett Health on September 4, 2024 and sell it today you would earn a total of 54.00 from holding Lord Abbett Health or generate 2.69% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Insignificant |
| Accuracy | 95.24% |
| Values | Daily Returns |
Goldman Sachs High vs. Lord Abbett Health
Performance |
| Timeline |
| Goldman Sachs High |
| Lord Abbett Health |
Goldman Sachs and Lord Abbett Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Goldman Sachs and Lord Abbett
The main advantage of trading using opposite Goldman Sachs and Lord Abbett positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Lord Abbett 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 Lord Abbett will offset losses from the drop in Lord Abbett's long position.| Goldman Sachs vs. Goldman Sachs Clean | Goldman Sachs vs. Goldman Sachs Clean | Goldman Sachs vs. Goldman Sachs Clean | Goldman Sachs vs. Goldman Sachs Clean |
| Lord Abbett vs. Lord Abbett Trust | Lord Abbett vs. Lord Abbett Trust | Lord Abbett vs. Lord Abbett Focused | Lord Abbett vs. Floating Rate Fund |
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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