Correlation Between NYSE Composite and Japan Exchange
Can any of the company-specific risk be diversified away by investing in both NYSE Composite and Japan Exchange 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 NYSE Composite and Japan Exchange into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NYSE Composite and Japan Exchange Group, you can compare the effects of market volatilities on NYSE Composite and Japan Exchange 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 NYSE Composite with a short position of Japan Exchange. Check out your portfolio center. Please also check ongoing floating volatility patterns of NYSE Composite and Japan Exchange.
Diversification Opportunities for NYSE Composite and Japan Exchange
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between NYSE and Japan is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding NYSE Composite and Japan Exchange Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Japan Exchange Group and NYSE Composite 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 NYSE Composite are associated (or correlated) with Japan Exchange. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Japan Exchange Group has no effect on the direction of NYSE Composite i.e., NYSE Composite and Japan Exchange go up and down completely randomly.
Pair Corralation between NYSE Composite and Japan Exchange
Assuming the 90 days trading horizon NYSE Composite is expected to generate 0.34 times more return on investment than Japan Exchange. However, NYSE Composite is 2.95 times less risky than Japan Exchange. It trades about -0.03 of its potential returns per unit of risk. Japan Exchange Group is currently generating about -0.08 per unit of risk. If you would invest 1,950,655 in NYSE Composite on September 24, 2024 and sell it today you would lose (29,944) from holding NYSE Composite or give up 1.54% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
NYSE Composite vs. Japan Exchange Group
Performance |
Timeline |
NYSE Composite and Japan Exchange Volatility Contrast
Predicted Return Density |
Returns |
NYSE Composite
Pair trading matchups for NYSE Composite
Japan Exchange Group
Pair trading matchups for Japan Exchange
Pair Trading with NYSE Composite and Japan Exchange
The main advantage of trading using opposite NYSE Composite and Japan Exchange positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NYSE Composite position performs unexpectedly, Japan Exchange 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 Japan Exchange will offset losses from the drop in Japan Exchange's long position.NYSE Composite vs. Kulicke and Soffa | NYSE Composite vs. United Microelectronics | NYSE Composite vs. Chester Mining | NYSE Composite vs. NetEase |
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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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