Correlation Between Nomura Holdings and GANGLONG CHINA
Can any of the company-specific risk be diversified away by investing in both Nomura Holdings and GANGLONG CHINA 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 Nomura Holdings and GANGLONG CHINA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nomura Holdings and GANGLONG CHINA PRGRLTD, you can compare the effects of market volatilities on Nomura Holdings and GANGLONG CHINA 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 Nomura Holdings with a short position of GANGLONG CHINA. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nomura Holdings and GANGLONG CHINA.
Diversification Opportunities for Nomura Holdings and GANGLONG CHINA
-0.57 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Nomura and GANGLONG is -0.57. Overlapping area represents the amount of risk that can be diversified away by holding Nomura Holdings and GANGLONG CHINA PRGRLTD in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on GANGLONG CHINA PRGRLTD and Nomura Holdings 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 Nomura Holdings are associated (or correlated) with GANGLONG CHINA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of GANGLONG CHINA PRGRLTD has no effect on the direction of Nomura Holdings i.e., Nomura Holdings and GANGLONG CHINA go up and down completely randomly.
Pair Corralation between Nomura Holdings and GANGLONG CHINA
Assuming the 90 days horizon Nomura Holdings is expected to generate 7.47 times less return on investment than GANGLONG CHINA. But when comparing it to its historical volatility, Nomura Holdings is 17.0 times less risky than GANGLONG CHINA. It trades about 0.15 of its potential returns per unit of risk. GANGLONG CHINA PRGRLTD is currently generating about 0.06 of returns per unit of risk over similar time horizon. If you would invest 1.85 in GANGLONG CHINA PRGRLTD on October 12, 2024 and sell it today you would lose (1.00) from holding GANGLONG CHINA PRGRLTD or give up 54.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 98.33% |
Values | Daily Returns |
Nomura Holdings vs. GANGLONG CHINA PRGRLTD
Performance |
Timeline |
Nomura Holdings |
GANGLONG CHINA PRGRLTD |
Nomura Holdings and GANGLONG CHINA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nomura Holdings and GANGLONG CHINA
The main advantage of trading using opposite Nomura Holdings and GANGLONG CHINA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nomura Holdings position performs unexpectedly, GANGLONG CHINA 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 GANGLONG CHINA will offset losses from the drop in GANGLONG CHINA's long position.Nomura Holdings vs. National Beverage Corp | Nomura Holdings vs. Tsingtao Brewery | Nomura Holdings vs. SAN MIGUEL BREWERY | Nomura Holdings vs. Forsys Metals Corp |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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