Correlation Between Svenska Handelsbanken and XSpray Pharma
Can any of the company-specific risk be diversified away by investing in both Svenska Handelsbanken 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 Svenska Handelsbanken and XSpray Pharma into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Svenska Handelsbanken AB and XSpray Pharma AB, you can compare the effects of market volatilities on Svenska Handelsbanken 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 Svenska Handelsbanken with a short position of XSpray Pharma. Check out your portfolio center. Please also check ongoing floating volatility patterns of Svenska Handelsbanken and XSpray Pharma.
Diversification Opportunities for Svenska Handelsbanken and XSpray Pharma
-0.58 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Svenska and XSpray is -0.58. Overlapping area represents the amount of risk that can be diversified away by holding Svenska Handelsbanken AB 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 Svenska Handelsbanken 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 Svenska Handelsbanken AB 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 Svenska Handelsbanken i.e., Svenska Handelsbanken and XSpray Pharma go up and down completely randomly.
Pair Corralation between Svenska Handelsbanken and XSpray Pharma
Assuming the 90 days trading horizon Svenska Handelsbanken AB is expected to generate 0.33 times more return on investment than XSpray Pharma. However, Svenska Handelsbanken AB is 3.0 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 0.0 per unit of risk. If you would invest 11,709 in Svenska Handelsbanken AB on October 11, 2024 and sell it today you would earn a total of 3,771 from holding Svenska Handelsbanken AB or generate 32.21% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Svenska Handelsbanken AB vs. XSpray Pharma AB
Performance |
Timeline |
Svenska Handelsbanken |
XSpray Pharma AB |
Svenska Handelsbanken and XSpray Pharma Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Svenska Handelsbanken and XSpray Pharma
The main advantage of trading using opposite Svenska Handelsbanken and XSpray Pharma positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Svenska Handelsbanken 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.Svenska Handelsbanken vs. Svenska Handelsbanken AB | Svenska Handelsbanken vs. Nordea Bank Abp | Svenska Handelsbanken vs. Atlas Copco AB | Svenska Handelsbanken vs. Skandinaviska Enskilda Banken |
XSpray Pharma vs. Xbrane Biopharma AB | XSpray Pharma vs. Hansa Biopharma AB | XSpray Pharma vs. Cantargia AB | XSpray Pharma vs. Vicore Pharma Holding |
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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