Correlation Between NISSAN CHEMICAL and BRIT AMER
Can any of the company-specific risk be diversified away by investing in both NISSAN CHEMICAL and BRIT AMER 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 BRIT AMER into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between NISSAN CHEMICAL IND and BRIT AMER TOBACCO, you can compare the effects of market volatilities on NISSAN CHEMICAL and BRIT AMER 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 BRIT AMER. Check out your portfolio center. Please also check ongoing floating volatility patterns of NISSAN CHEMICAL and BRIT AMER.
Diversification Opportunities for NISSAN CHEMICAL and BRIT AMER
-0.45 | Correlation Coefficient |
Very good diversification
The 3 months correlation between NISSAN and BRIT is -0.45. Overlapping area represents the amount of risk that can be diversified away by holding NISSAN CHEMICAL IND and BRIT AMER TOBACCO in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BRIT AMER TOBACCO 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 IND are associated (or correlated) with BRIT AMER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BRIT AMER TOBACCO has no effect on the direction of NISSAN CHEMICAL i.e., NISSAN CHEMICAL and BRIT AMER go up and down completely randomly.
Pair Corralation between NISSAN CHEMICAL and BRIT AMER
Assuming the 90 days trading horizon NISSAN CHEMICAL IND is expected to under-perform the BRIT AMER. But the stock apears to be less risky and, when comparing its historical volatility, NISSAN CHEMICAL IND is 1.51 times less risky than BRIT AMER. The stock trades about -0.08 of its potential returns per unit of risk. The BRIT AMER TOBACCO is currently generating about 0.1 of returns per unit of risk over similar time horizon. If you would invest 3,455 in BRIT AMER TOBACCO on December 22, 2024 and sell it today you would earn a total of 331.00 from holding BRIT AMER TOBACCO or generate 9.58% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
NISSAN CHEMICAL IND vs. BRIT AMER TOBACCO
Performance |
Timeline |
NISSAN CHEMICAL IND |
BRIT AMER TOBACCO |
NISSAN CHEMICAL and BRIT AMER Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with NISSAN CHEMICAL and BRIT AMER
The main advantage of trading using opposite NISSAN CHEMICAL and BRIT AMER positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if NISSAN CHEMICAL position performs unexpectedly, BRIT AMER 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 BRIT AMER will offset losses from the drop in BRIT AMER's long position.NISSAN CHEMICAL vs. Citic Telecom International | NISSAN CHEMICAL vs. SBA Communications Corp | NISSAN CHEMICAL vs. Spirent Communications plc | NISSAN CHEMICAL vs. LPKF Laser Electronics |
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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 Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
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