Correlation Between GM and BNPP BONDSRI
Can any of the company-specific risk be diversified away by investing in both GM and BNPP BONDSRI 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 GM and BNPP BONDSRI into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between General Motors and BNPP BONDSRI ETF, you can compare the effects of market volatilities on GM and BNPP BONDSRI 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 GM with a short position of BNPP BONDSRI. Check out your portfolio center. Please also check ongoing floating volatility patterns of GM and BNPP BONDSRI.
Diversification Opportunities for GM and BNPP BONDSRI
0.39 | Correlation Coefficient |
Weak diversification
The 3 months correlation between GM and BNPP is 0.39. Overlapping area represents the amount of risk that can be diversified away by holding General Motors and BNPP BONDSRI ETF in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BNPP BONDSRI ETF and GM 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 General Motors are associated (or correlated) with BNPP BONDSRI. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BNPP BONDSRI ETF has no effect on the direction of GM i.e., GM and BNPP BONDSRI go up and down completely randomly.
Pair Corralation between GM and BNPP BONDSRI
Allowing for the 90-day total investment horizon General Motors is expected to generate 12.51 times more return on investment than BNPP BONDSRI. However, GM is 12.51 times more volatile than BNPP BONDSRI ETF. It trades about 0.04 of its potential returns per unit of risk. BNPP BONDSRI ETF is currently generating about 0.17 per unit of risk. If you would invest 4,788 in General Motors on September 22, 2024 and sell it today you would earn a total of 393.00 from holding General Motors or generate 8.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 97.71% |
Values | Daily Returns |
General Motors vs. BNPP BONDSRI ETF
Performance |
Timeline |
General Motors |
BNPP BONDSRI ETF |
GM and BNPP BONDSRI Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with GM and BNPP BONDSRI
The main advantage of trading using opposite GM and BNPP BONDSRI positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if GM position performs unexpectedly, BNPP BONDSRI 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 BNPP BONDSRI will offset losses from the drop in BNPP BONDSRI's long position.The idea behind General Motors and BNPP BONDSRI ETF pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.BNPP BONDSRI vs. Lyxor UCITS Japan | BNPP BONDSRI vs. Lyxor UCITS Japan | BNPP BONDSRI vs. Lyxor UCITS Stoxx | BNPP BONDSRI vs. Amundi CAC 40 |
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 Correlation Analysis module to reduce portfolio risk simply by holding instruments which are not perfectly correlated.
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