Correlation Between Infant Bacterial and XSpray Pharma
Can any of the company-specific risk be diversified away by investing in both Infant Bacterial and XSpray Pharma 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 Infant Bacterial and XSpray Pharma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Infant Bacterial Therapeutics and XSpray Pharma AB, you can compare the effects of market volatilities on Infant Bacterial and XSpray Pharma 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 Infant Bacterial with a short position of XSpray Pharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Infant Bacterial and XSpray Pharma.
Diversification Opportunities for Infant Bacterial and XSpray Pharma
-0.77 | Correlation Coefficient |
Pay attention - limited upside
The 3 months correlation between Infant and XSpray is -0.77. Overlapping area represents the amount of risk that can be diversified away by holding Infant Bacterial Therapeutics and XSpray Pharma AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on XSpray Pharma AB and Infant Bacterial 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 Infant Bacterial Therapeutics are associated (or correlated) with XSpray Pharma. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of XSpray Pharma AB has no effect on the direction of Infant Bacterial i.e., Infant Bacterial and XSpray Pharma go up and down completely randomly.
Pair Corralation between Infant Bacterial and XSpray Pharma
Assuming the 90 days trading horizon Infant Bacterial is expected to generate 3.34 times less return on investment than XSpray Pharma. But when comparing it to its historical volatility, Infant Bacterial Therapeutics is 1.22 times less risky than XSpray Pharma. It trades about 0.05 of its potential returns per unit of risk. XSpray Pharma AB is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 3,800 in XSpray Pharma AB on April 23, 2025 and sell it today you would earn a total of 1,410 from holding XSpray Pharma AB or generate 37.11% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Infant Bacterial Therapeutics vs. XSpray Pharma AB
Performance |
Timeline |
Infant Bacterial |
XSpray Pharma AB |
Infant Bacterial and XSpray Pharma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Infant Bacterial and XSpray Pharma
The main advantage of trading using opposite Infant Bacterial and XSpray Pharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Infant Bacterial position performs unexpectedly, XSpray Pharma 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 XSpray Pharma will offset losses from the drop in XSpray Pharma's long position.Infant Bacterial vs. IGM BIOSCIENCES DL 01 | Infant Bacterial vs. Isofol Medical AB | Infant Bacterial vs. Alligator Bioscience AB | Infant Bacterial vs. Cantargia AB |
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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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