Correlation Between Eli Lilly and Rhinebeck Bancorp
Can any of the company-specific risk be diversified away by investing in both Eli Lilly and Rhinebeck Bancorp 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 Eli Lilly and Rhinebeck Bancorp into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Eli Lilly and and Rhinebeck Bancorp, you can compare the effects of market volatilities on Eli Lilly and Rhinebeck Bancorp 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 Eli Lilly with a short position of Rhinebeck Bancorp. Check out your portfolio center. Please also check ongoing floating volatility patterns of Eli Lilly and Rhinebeck Bancorp.
Diversification Opportunities for Eli Lilly and Rhinebeck Bancorp
-0.79 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Eli and Rhinebeck is -0.79. Overlapping area represents the amount of risk that can be diversified away by holding Eli Lilly and and Rhinebeck Bancorp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Rhinebeck Bancorp and Eli Lilly 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 Eli Lilly and are associated (or correlated) with Rhinebeck Bancorp. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Rhinebeck Bancorp has no effect on the direction of Eli Lilly i.e., Eli Lilly and Rhinebeck Bancorp go up and down completely randomly.
Pair Corralation between Eli Lilly and Rhinebeck Bancorp
Considering the 90-day investment horizon Eli Lilly and is expected to generate 1.05 times more return on investment than Rhinebeck Bancorp. However, Eli Lilly is 1.05 times more volatile than Rhinebeck Bancorp. It trades about 0.31 of its potential returns per unit of risk. Rhinebeck Bancorp is currently generating about -0.27 per unit of risk. If you would invest 71,064 in Eli Lilly and on August 22, 2025 and sell it today you would earn a total of 34,114 from holding Eli Lilly and or generate 48.0% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Eli Lilly and vs. Rhinebeck Bancorp
Performance |
| Timeline |
| Eli Lilly |
| Rhinebeck Bancorp |
Eli Lilly and Rhinebeck Bancorp Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Eli Lilly and Rhinebeck Bancorp
The main advantage of trading using opposite Eli Lilly and Rhinebeck Bancorp positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Eli Lilly position performs unexpectedly, Rhinebeck Bancorp 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 Rhinebeck Bancorp will offset losses from the drop in Rhinebeck Bancorp's long position.| Eli Lilly vs. Johnson Johnson | Eli Lilly vs. AstraZeneca PLC ADR | Eli Lilly vs. AbbVie Inc | Eli Lilly vs. Novartis AG ADR |
| Rhinebeck Bancorp vs. Riverview Bancorp | Rhinebeck Bancorp vs. Sound Financial Bancorp | Rhinebeck Bancorp vs. Lake Shore Bancorp | Rhinebeck Bancorp vs. Magyar Bancorp |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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