Correlation Between Wave Life and Compugen
Can any of the company-specific risk be diversified away by investing in both Wave Life and Compugen 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 Wave Life and Compugen into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Wave Life Sciences and Compugen, you can compare the effects of market volatilities on Wave Life and Compugen 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 Wave Life with a short position of Compugen. Check out your portfolio center. Please also check ongoing floating volatility patterns of Wave Life and Compugen.
Diversification Opportunities for Wave Life and Compugen
Excellent diversification
The 3 months correlation between Wave and Compugen is -0.68. Overlapping area represents the amount of risk that can be diversified away by holding Wave Life Sciences and Compugen in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Compugen and Wave Life 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 Wave Life Sciences are associated (or correlated) with Compugen. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Compugen has no effect on the direction of Wave Life i.e., Wave Life and Compugen go up and down completely randomly.
Pair Corralation between Wave Life and Compugen
Considering the 90-day investment horizon Wave Life Sciences is expected to generate 1.64 times more return on investment than Compugen. However, Wave Life is 1.64 times more volatile than Compugen. It trades about 0.09 of its potential returns per unit of risk. Compugen is currently generating about 0.03 per unit of risk. If you would invest 401.00 in Wave Life Sciences on November 3, 2024 and sell it today you would earn a total of 756.00 from holding Wave Life Sciences or generate 188.53% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 99.6% |
Values | Daily Returns |
Wave Life Sciences vs. Compugen
Performance |
Timeline |
Wave Life Sciences |
Compugen |
Wave Life and Compugen Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Wave Life and Compugen
The main advantage of trading using opposite Wave Life and Compugen positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Wave Life position performs unexpectedly, Compugen 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 Compugen will offset losses from the drop in Compugen's long position.Wave Life vs. Arrowhead Pharmaceuticals | Wave Life vs. CytomX Therapeutics | Wave Life vs. Assembly Biosciences | Wave Life vs. Apellis Pharmaceuticals |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
Other Complementary Tools
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Content Syndication Quickly integrate customizable finance content to your own investment portal | |
Technical Analysis Check basic technical indicators and analysis based on most latest market data | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk |