Correlation Between ServiceNow and Bausch Lomb
Can any of the company-specific risk be diversified away by investing in both ServiceNow and Bausch Lomb 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 ServiceNow and Bausch Lomb into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ServiceNow and Bausch Lomb Corp, you can compare the effects of market volatilities on ServiceNow and Bausch Lomb 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 ServiceNow with a short position of Bausch Lomb. Check out your portfolio center. Please also check ongoing floating volatility patterns of ServiceNow and Bausch Lomb.
Diversification Opportunities for ServiceNow and Bausch Lomb
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between ServiceNow and Bausch is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding ServiceNow and Bausch Lomb Corp in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bausch Lomb Corp and ServiceNow 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 ServiceNow are associated (or correlated) with Bausch Lomb. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bausch Lomb Corp has no effect on the direction of ServiceNow i.e., ServiceNow and Bausch Lomb go up and down completely randomly.
Pair Corralation between ServiceNow and Bausch Lomb
Considering the 90-day investment horizon ServiceNow is expected to generate 0.97 times more return on investment than Bausch Lomb. However, ServiceNow is 1.03 times less risky than Bausch Lomb. It trades about 0.12 of its potential returns per unit of risk. Bausch Lomb Corp is currently generating about 0.1 per unit of risk. If you would invest 72,656 in ServiceNow on September 3, 2024 and sell it today you would earn a total of 32,288 from holding ServiceNow or generate 44.44% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
ServiceNow vs. Bausch Lomb Corp
Performance |
| Timeline |
| ServiceNow |
| Bausch Lomb Corp |
ServiceNow and Bausch Lomb Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with ServiceNow and Bausch Lomb
The main advantage of trading using opposite ServiceNow and Bausch Lomb positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ServiceNow position performs unexpectedly, Bausch Lomb 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 Bausch Lomb will offset losses from the drop in Bausch Lomb's long position.The idea behind ServiceNow and Bausch Lomb Corp 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.| Bausch Lomb vs. The Cooper Companies, | Bausch Lomb vs. ICU Medical | Bausch Lomb vs. Hologic | Bausch Lomb vs. Becton Dickinson and |
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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.
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