Correlation Between VALORA HLDG and Bonhote Immobilier
Can any of the company-specific risk be diversified away by investing in both VALORA HLDG and Bonhote Immobilier 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 VALORA HLDG and Bonhote Immobilier into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between VALORA HLDG OPEN and Bonhote Immobilier SICAV BIM, you can compare the effects of market volatilities on VALORA HLDG and Bonhote Immobilier 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 VALORA HLDG with a short position of Bonhote Immobilier. Check out your portfolio center. Please also check ongoing floating volatility patterns of VALORA HLDG and Bonhote Immobilier.
Diversification Opportunities for VALORA HLDG and Bonhote Immobilier
0.0 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between VALORA and Bonhote is 0.0. Overlapping area represents the amount of risk that can be diversified away by holding VALORA HLDG OPEN and Bonhote Immobilier SICAV BIM in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bonhote Immobilier and VALORA HLDG 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 VALORA HLDG OPEN are associated (or correlated) with Bonhote Immobilier. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bonhote Immobilier has no effect on the direction of VALORA HLDG i.e., VALORA HLDG and Bonhote Immobilier go up and down completely randomly.
Pair Corralation between VALORA HLDG and Bonhote Immobilier
If you would invest 15,150 in Bonhote Immobilier SICAV BIM on September 19, 2024 and sell it today you would earn a total of 1,150 from holding Bonhote Immobilier SICAV BIM or generate 7.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Flat |
Strength | Insignificant |
Accuracy | 0.0% |
Values | Daily Returns |
VALORA HLDG OPEN vs. Bonhote Immobilier SICAV BIM
Performance |
Timeline |
VALORA HLDG OPEN |
Risk-Adjusted Performance
0 of 100
Weak | Strong |
Very Weak
Bonhote Immobilier |
VALORA HLDG and Bonhote Immobilier Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with VALORA HLDG and Bonhote Immobilier
The main advantage of trading using opposite VALORA HLDG and Bonhote Immobilier positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if VALORA HLDG position performs unexpectedly, Bonhote Immobilier 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 Bonhote Immobilier will offset losses from the drop in Bonhote Immobilier's long position.The idea behind VALORA HLDG OPEN and Bonhote Immobilier SICAV BIM 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.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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