Correlation Between Clal Biotechnology and Netz Hotels
Can any of the company-specific risk be diversified away by investing in both Clal Biotechnology and Netz Hotels 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 Clal Biotechnology and Netz Hotels into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Clal Biotechnology Industries and Netz Hotels, you can compare the effects of market volatilities on Clal Biotechnology and Netz Hotels 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 Clal Biotechnology with a short position of Netz Hotels. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clal Biotechnology and Netz Hotels.
Diversification Opportunities for Clal Biotechnology and Netz Hotels
-0.51 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Clal and Netz is -0.51. Overlapping area represents the amount of risk that can be diversified away by holding Clal Biotechnology Industries and Netz Hotels in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Netz Hotels and Clal Biotechnology 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 Clal Biotechnology Industries are associated (or correlated) with Netz Hotels. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Netz Hotels has no effect on the direction of Clal Biotechnology i.e., Clal Biotechnology and Netz Hotels go up and down completely randomly.
Pair Corralation between Clal Biotechnology and Netz Hotels
Assuming the 90 days trading horizon Clal Biotechnology Industries is expected to under-perform the Netz Hotels. But the stock apears to be less risky and, when comparing its historical volatility, Clal Biotechnology Industries is 1.73 times less risky than Netz Hotels. The stock trades about -0.09 of its potential returns per unit of risk. The Netz Hotels is currently generating about 0.62 of returns per unit of risk over similar time horizon. If you would invest 3,030 in Netz Hotels on September 13, 2024 and sell it today you would earn a total of 1,570 from holding Netz Hotels or generate 51.82% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Clal Biotechnology Industries vs. Netz Hotels
Performance |
Timeline |
Clal Biotechnology |
Netz Hotels |
Clal Biotechnology and Netz Hotels Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clal Biotechnology and Netz Hotels
The main advantage of trading using opposite Clal Biotechnology and Netz Hotels positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clal Biotechnology position performs unexpectedly, Netz Hotels 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 Netz Hotels will offset losses from the drop in Netz Hotels' long position.Clal Biotechnology vs. Kamada | Clal Biotechnology vs. BioLine RX | Clal Biotechnology vs. Evogene | Clal Biotechnology vs. Bezeq Israeli Telecommunication |
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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 Competition Analyzer module to analyze and compare many basic indicators for a group of related or unrelated entities.
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