Correlation Between Spuntech and Nextage Therapeutics
Can any of the company-specific risk be diversified away by investing in both Spuntech and Nextage Therapeutics 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 Spuntech and Nextage Therapeutics into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Spuntech and Nextage Therapeutics, you can compare the effects of market volatilities on Spuntech and Nextage Therapeutics 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 Spuntech with a short position of Nextage Therapeutics. Check out your portfolio center. Please also check ongoing floating volatility patterns of Spuntech and Nextage Therapeutics.
Diversification Opportunities for Spuntech and Nextage Therapeutics
0.06 | Correlation Coefficient |
Significant diversification
The 3 months correlation between Spuntech and Nextage is 0.06. Overlapping area represents the amount of risk that can be diversified away by holding Spuntech and Nextage Therapeutics in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Nextage Therapeutics and Spuntech 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 Spuntech are associated (or correlated) with Nextage Therapeutics. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Nextage Therapeutics has no effect on the direction of Spuntech i.e., Spuntech and Nextage Therapeutics go up and down completely randomly.
Pair Corralation between Spuntech and Nextage Therapeutics
Assuming the 90 days trading horizon Spuntech is expected to under-perform the Nextage Therapeutics. But the stock apears to be less risky and, when comparing its historical volatility, Spuntech is 2.18 times less risky than Nextage Therapeutics. The stock trades about -0.04 of its potential returns per unit of risk. The Nextage Therapeutics is currently generating about 0.09 of returns per unit of risk over similar time horizon. If you would invest 8,500 in Nextage Therapeutics on December 24, 2024 and sell it today you would earn a total of 1,920 from holding Nextage Therapeutics or generate 22.59% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Spuntech vs. Nextage Therapeutics
Performance |
Timeline |
Spuntech |
Nextage Therapeutics |
Spuntech and Nextage Therapeutics Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Spuntech and Nextage Therapeutics
The main advantage of trading using opposite Spuntech and Nextage Therapeutics positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Spuntech position performs unexpectedly, Nextage Therapeutics 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 Nextage Therapeutics will offset losses from the drop in Nextage Therapeutics' long position.Spuntech vs. Neto ME Holdings | Spuntech vs. Aryt Industries | Spuntech vs. Kerur Holdings | Spuntech vs. Scope Metals Group |
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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