Correlation Between Goldman Sachs and Nomura Holdings
Can any of the company-specific risk be diversified away by investing in both Goldman Sachs and Nomura Holdings 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 Nomura Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Goldman Sachs Group and Nomura Holdings ADR, you can compare the effects of market volatilities on Goldman Sachs and Nomura Holdings 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 Nomura Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Goldman Sachs and Nomura Holdings.
Diversification Opportunities for Goldman Sachs and Nomura Holdings
0.55 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Goldman and Nomura is 0.55. Overlapping area represents the amount of risk that can be diversified away by holding Goldman Sachs Group and Nomura Holdings ADR in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nomura Holdings ADR 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 Group are associated (or correlated) with Nomura Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nomura Holdings ADR has no effect on the direction of Goldman Sachs i.e., Goldman Sachs and Nomura Holdings go up and down completely randomly.
Pair Corralation between Goldman Sachs and Nomura Holdings
Allowing for the 90-day total investment horizon Goldman Sachs Group is expected to under-perform the Nomura Holdings. But the stock apears to be less risky and, when comparing its historical volatility, Goldman Sachs Group is 1.01 times less risky than Nomura Holdings. The stock trades about -0.01 of its potential returns per unit of risk. The Nomura Holdings ADR is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 586.00 in Nomura Holdings ADR on December 25, 2024 and sell it today you would earn a total of 79.00 from holding Nomura Holdings ADR or generate 13.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Goldman Sachs Group vs. Nomura Holdings ADR
Performance |
Timeline |
Goldman Sachs Group |
Nomura Holdings ADR |
Goldman Sachs and Nomura Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Goldman Sachs and Nomura Holdings
The main advantage of trading using opposite Goldman Sachs and Nomura Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Goldman Sachs position performs unexpectedly, Nomura Holdings 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 Nomura Holdings will offset losses from the drop in Nomura Holdings' long position.Goldman Sachs vs. Morgan Stanley | Goldman Sachs vs. JPMorgan Chase Co | Goldman Sachs vs. Wells Fargo | Goldman Sachs vs. Citigroup |
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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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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