Correlation Between Apple and NOMURA RESEARCH
Can any of the company-specific risk be diversified away by investing in both Apple and NOMURA RESEARCH 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 Apple and NOMURA RESEARCH into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Apple Inc and NOMURA RESEARCH, you can compare the effects of market volatilities on Apple and NOMURA RESEARCH 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 Apple with a short position of NOMURA RESEARCH. Check out your portfolio center. Please also check ongoing floating volatility patterns of Apple and NOMURA RESEARCH.
Diversification Opportunities for Apple and NOMURA RESEARCH
-0.47 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Apple and NOMURA is -0.47. Overlapping area represents the amount of risk that can be diversified away by holding Apple Inc and NOMURA RESEARCH in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NOMURA RESEARCH and Apple 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 Apple Inc are associated (or correlated) with NOMURA RESEARCH. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NOMURA RESEARCH has no effect on the direction of Apple i.e., Apple and NOMURA RESEARCH go up and down completely randomly.
Pair Corralation between Apple and NOMURA RESEARCH
Assuming the 90 days trading horizon Apple Inc is expected to generate 0.55 times more return on investment than NOMURA RESEARCH. However, Apple Inc is 1.81 times less risky than NOMURA RESEARCH. It trades about 0.23 of its potential returns per unit of risk. NOMURA RESEARCH is currently generating about -0.09 per unit of risk. If you would invest 20,621 in Apple Inc on September 20, 2024 and sell it today you would earn a total of 3,524 from holding Apple Inc or generate 17.09% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Apple Inc vs. NOMURA RESEARCH
Performance |
| Timeline |
| Apple Inc |
| NOMURA RESEARCH |
Apple and NOMURA RESEARCH Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Apple and NOMURA RESEARCH
The main advantage of trading using opposite Apple and NOMURA RESEARCH positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Apple position performs unexpectedly, NOMURA RESEARCH 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 RESEARCH will offset losses from the drop in NOMURA RESEARCH's long position.The idea behind Apple Inc and NOMURA RESEARCH pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| NOMURA RESEARCH vs. Apple Inc | NOMURA RESEARCH vs. Apple Inc | NOMURA RESEARCH vs. Apple Inc | NOMURA RESEARCH vs. Apple Inc |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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