Correlation Between Goldman Sachs and JPMorgan Inflation
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and JPMorgan Inflation 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 JPMorgan Inflation into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Access and JPMorgan Inflation Managed, you can compare the effects of market volatilities on Goldman Sachs and JPMorgan Inflation 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 JPMorgan Inflation. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and JPMorgan Inflation.
Diversification Opportunities for Goldman Sachs and JPMorgan Inflation
0.94 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Goldman and JPMorgan is 0.94. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Access and JPMorgan Inflation Managed in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on JPMorgan Inflation 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 Access are associated (or correlated) with JPMorgan Inflation. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of JPMorgan Inflation has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and JPMorgan Inflation go up and down completely randomly.
Pair Corralation between Goldman Sachs and JPMorgan Inflation
Given the investment horizon of 90 days Goldman Sachs is expected to generate 2.02 times less return on investment than JPMorgan Inflation. In addition to that, Goldman Sachs is 1.25 times more volatile than JPMorgan Inflation Managed. It trades about 0.03 of its total potential returns per unit of risk. JPMorgan Inflation Managed is currently generating about 0.08 per unit of volatility. If you would invest 4,476 in JPMorgan Inflation Managed on September 25, 2024 and sell it today you would earn a total of 195.00 from holding JPMorgan Inflation Managed or generate 4.36% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Goldman Sachs Access vs. JPMorgan Inflation Managed
Performance |
Timeline |
Goldman Sachs Access |
JPMorgan Inflation |
Goldman Sachs and JPMorgan Inflation Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and JPMorgan Inflation
The main advantage of trading using opposite Goldman Sachs and JPMorgan Inflation positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, JPMorgan Inflation 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 JPMorgan Inflation will offset losses from the drop in JPMorgan Inflation's long position.Goldman Sachs vs. iShares TIPS Bond | Goldman Sachs vs. JPMorgan Inflation Managed | Goldman Sachs vs. FlexShares iBoxx 5 Year | Goldman Sachs vs. Ionic Inflation Protection |
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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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