Correlation Between BNP Paribas and First Farmers
Can any of the company-specific risk be diversified away by investing in both BNP Paribas and First Farmers 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 BNP Paribas and First Farmers into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between BNP Paribas SA and First Farmers Financial, you can compare the effects of market volatilities on BNP Paribas and First Farmers 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 BNP Paribas with a short position of First Farmers. Check out your portfolio center. Please also check ongoing floating volatility patterns of BNP Paribas and First Farmers.
Diversification Opportunities for BNP Paribas and First Farmers
0.38 | Correlation Coefficient |
Weak diversification
The 3 months correlation between BNP and First is 0.38. Overlapping area represents the amount of risk that can be diversified away by holding BNP Paribas SA and First Farmers Financial in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on First Farmers Financial and BNP Paribas 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 BNP Paribas SA are associated (or correlated) with First Farmers. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of First Farmers Financial has no effect on the direction of BNP Paribas i.e., BNP Paribas and First Farmers go up and down completely randomly.
Pair Corralation between BNP Paribas and First Farmers
Assuming the 90 days horizon BNP Paribas SA is expected to generate 2.83 times more return on investment than First Farmers. However, BNP Paribas is 2.83 times more volatile than First Farmers Financial. It trades about 0.28 of its potential returns per unit of risk. First Farmers Financial is currently generating about 0.06 per unit of risk. If you would invest 6,113 in BNP Paribas SA on December 26, 2024 and sell it today you would earn a total of 2,567 from holding BNP Paribas SA or generate 41.99% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 95.08% |
Values | Daily Returns |
BNP Paribas SA vs. First Farmers Financial
Performance |
Timeline |
BNP Paribas SA |
First Farmers Financial |
BNP Paribas and First Farmers Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with BNP Paribas and First Farmers
The main advantage of trading using opposite BNP Paribas and First Farmers positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if BNP Paribas position performs unexpectedly, First Farmers 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 First Farmers will offset losses from the drop in First Farmers' long position.BNP Paribas vs. Lloyds Banking Group | BNP Paribas vs. Bank of Hawaii | BNP Paribas vs. Deutsche Bank AG | BNP Paribas vs. PNC Financial Services |
First Farmers vs. Farmers Bancorp | First Farmers vs. Farmers Merchants Bancorp | First Farmers vs. Lakeland Financial | First Farmers vs. FFW Corporation |
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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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