Correlation Between Nippon Steel and Food Life
Can any of the company-specific risk be diversified away by investing in both Nippon Steel and Food Life 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 Nippon Steel and Food Life into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nippon Steel and Food Life Companies, you can compare the effects of market volatilities on Nippon Steel and Food Life 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 Nippon Steel with a short position of Food Life. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nippon Steel and Food Life.
Diversification Opportunities for Nippon Steel and Food Life
0.91 | Correlation Coefficient |
Almost no diversification
The 3 months correlation between Nippon and Food is 0.91. Overlapping area represents the amount of risk that can be diversified away by holding Nippon Steel and Food Life Companies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Food Life Companies and Nippon Steel 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 Nippon Steel are associated (or correlated) with Food Life. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Food Life Companies has no effect on the direction of Nippon Steel i.e., Nippon Steel and Food Life go up and down completely randomly.
Pair Corralation between Nippon Steel and Food Life
Assuming the 90 days trading horizon Nippon Steel is expected to generate 1.6 times less return on investment than Food Life. But when comparing it to its historical volatility, Nippon Steel is 1.89 times less risky than Food Life. It trades about 0.19 of its potential returns per unit of risk. Food Life Companies is currently generating about 0.16 of returns per unit of risk over similar time horizon. If you would invest 2,100 in Food Life Companies on December 22, 2024 and sell it today you would earn a total of 640.00 from holding Food Life Companies or generate 30.48% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Nippon Steel vs. Food Life Companies
Performance |
Timeline |
Nippon Steel |
Food Life Companies |
Nippon Steel and Food Life Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nippon Steel and Food Life
The main advantage of trading using opposite Nippon Steel and Food Life positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nippon Steel position performs unexpectedly, Food Life 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 Food Life will offset losses from the drop in Food Life's long position.Nippon Steel vs. BANKINTER ADR 2007 | Nippon Steel vs. Cembra Money Bank | Nippon Steel vs. TIANDE CHEMICAL | Nippon Steel vs. Sanyo Chemical Industries |
Food Life vs. Strong Petrochemical Holdings | Food Life vs. Kingdee International Software | Food Life vs. X FAB Silicon Foundries | Food Life vs. Mitsui Chemicals |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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