Correlation Between Nissan Chemical and BHP Group
Can any of the company-specific risk be diversified away by investing in both Nissan Chemical and BHP Group 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 Nissan Chemical and BHP Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Nissan Chemical Corp and BHP Group Limited, you can compare the effects of market volatilities on Nissan Chemical and BHP Group 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 Nissan Chemical with a short position of BHP Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of Nissan Chemical and BHP Group.
Diversification Opportunities for Nissan Chemical and BHP Group
0.29 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Nissan and BHP is 0.29. Overlapping area represents the amount of risk that can be diversified away by holding Nissan Chemical Corp and BHP Group Limited in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BHP Group Limited and Nissan Chemical 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 Nissan Chemical Corp are associated (or correlated) with BHP Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BHP Group Limited has no effect on the direction of Nissan Chemical i.e., Nissan Chemical and BHP Group go up and down completely randomly.
Pair Corralation between Nissan Chemical and BHP Group
Assuming the 90 days trading horizon Nissan Chemical Corp is expected to generate 0.94 times more return on investment than BHP Group. However, Nissan Chemical Corp is 1.06 times less risky than BHP Group. It trades about -0.1 of its potential returns per unit of risk. BHP Group Limited is currently generating about -0.14 per unit of risk. If you would invest 3,180 in Nissan Chemical Corp on October 7, 2024 and sell it today you would lose (180.00) from holding Nissan Chemical Corp or give up 5.66% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Nissan Chemical Corp vs. BHP Group Limited
Performance |
Timeline |
Nissan Chemical Corp |
BHP Group Limited |
Nissan Chemical and BHP Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Nissan Chemical and BHP Group
The main advantage of trading using opposite Nissan Chemical and BHP Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Nissan Chemical position performs unexpectedly, BHP Group 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 BHP Group will offset losses from the drop in BHP Group's long position.Nissan Chemical vs. Hua Hong Semiconductor | Nissan Chemical vs. Bausch Health Companies | Nissan Chemical vs. YOOMA WELLNESS INC | Nissan Chemical vs. TOREX SEMICONDUCTOR LTD |
BHP Group vs. RETAIL FOOD GROUP | BHP Group vs. NAKED WINES PLC | BHP Group vs. SPARTAN STORES | BHP Group vs. Caseys General Stores |
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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