Correlation Between BNPP BONDSRI and Blockchain Group
Can any of the company-specific risk be diversified away by investing in both BNPP BONDSRI and Blockchain 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 BNPP BONDSRI and Blockchain Group into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BNPP BONDSRI ETF and Blockchain Group SA, you can compare the effects of market volatilities on BNPP BONDSRI and Blockchain 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 BNPP BONDSRI with a short position of Blockchain Group. Check out your portfolio center. Please also check ongoing floating volatility patterns of BNPP BONDSRI and Blockchain Group.
Diversification Opportunities for BNPP BONDSRI and Blockchain Group
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between BNPP and Blockchain is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding BNPP BONDSRI ETF and Blockchain Group SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Blockchain Group and BNPP BONDSRI 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 BNPP BONDSRI ETF are associated (or correlated) with Blockchain Group. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Blockchain Group has no effect on the direction of BNPP BONDSRI i.e., BNPP BONDSRI and Blockchain Group go up and down completely randomly.
Pair Corralation between BNPP BONDSRI and Blockchain Group
Assuming the 90 days trading horizon BNPP BONDSRI ETF is expected to under-perform the Blockchain Group. But the etf apears to be less risky and, when comparing its historical volatility, BNPP BONDSRI ETF is 32.3 times less risky than Blockchain Group. The etf trades about -0.01 of its potential returns per unit of risk. The Blockchain Group SA is currently generating about 0.13 of returns per unit of risk over similar time horizon. If you would invest 30.00 in Blockchain Group SA on December 30, 2024 and sell it today you would earn a total of 18.00 from holding Blockchain Group SA or generate 60.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
BNPP BONDSRI ETF vs. Blockchain Group SA
Performance |
Timeline |
BNPP BONDSRI ETF |
Blockchain Group |
BNPP BONDSRI and Blockchain Group Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BNPP BONDSRI and Blockchain Group
The main advantage of trading using opposite BNPP BONDSRI and Blockchain Group positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BNPP BONDSRI position performs unexpectedly, Blockchain 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 Blockchain Group will offset losses from the drop in Blockchain Group's long position.BNPP BONDSRI vs. BNPP LC EURPAB | BNPP BONDSRI vs. BNPP EHY SRI | BNPP BONDSRI vs. BNPP Greenbond ETF | BNPP BONDSRI vs. Amundi Index Solutions |
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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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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