Correlation Between Netz Hotels and Clal Biotechnology
Can any of the company-specific risk be diversified away by investing in both Netz Hotels and Clal Biotechnology 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 Netz Hotels and Clal Biotechnology into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Netz Hotels and Clal Biotechnology Industries, you can compare the effects of market volatilities on Netz Hotels and Clal Biotechnology 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 Netz Hotels with a short position of Clal Biotechnology. Check out your portfolio center. Please also check ongoing floating volatility patterns of Netz Hotels and Clal Biotechnology.
Diversification Opportunities for Netz Hotels and Clal Biotechnology
0.2 | Correlation Coefficient |
Modest diversification
The 3 months correlation between Netz and Clal is 0.2. Overlapping area represents the amount of risk that can be diversified away by holding Netz Hotels and Clal Biotechnology Industries in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Clal Biotechnology and Netz Hotels 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 Netz Hotels are associated (or correlated) with Clal Biotechnology. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Clal Biotechnology has no effect on the direction of Netz Hotels i.e., Netz Hotels and Clal Biotechnology go up and down completely randomly.
Pair Corralation between Netz Hotels and Clal Biotechnology
Assuming the 90 days trading horizon Netz Hotels is expected to generate 2.14 times more return on investment than Clal Biotechnology. However, Netz Hotels is 2.14 times more volatile than Clal Biotechnology Industries. It trades about 0.15 of its potential returns per unit of risk. Clal Biotechnology Industries is currently generating about 0.01 per unit of risk. If you would invest 3,740 in Netz Hotels on December 2, 2024 and sell it today you would earn a total of 1,180 from holding Netz Hotels or generate 31.55% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Netz Hotels vs. Clal Biotechnology Industries
Performance |
Timeline |
Netz Hotels |
Clal Biotechnology |
Netz Hotels and Clal Biotechnology Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Netz Hotels and Clal Biotechnology
The main advantage of trading using opposite Netz Hotels and Clal Biotechnology positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Netz Hotels position performs unexpectedly, Clal Biotechnology 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 Clal Biotechnology will offset losses from the drop in Clal Biotechnology's long position.Netz Hotels vs. Opko Health | Netz Hotels vs. Global Knafaim Leasing | Netz Hotels vs. Magic Software Enterprises | Netz Hotels vs. Amanet Management Systems |
Clal Biotechnology vs. Kamada | Clal Biotechnology vs. BioLine RX | Clal Biotechnology vs. Evogene | Clal Biotechnology vs. Bezeq Israeli Telecommunication |
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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