Correlation Between Destination and Northstar Clean
Can any of the company-specific risk be diversified away by investing in both Destination and Northstar Clean 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 Destination and Northstar Clean into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Destination XL Group and Northstar Clean Technologies, you can compare the effects of market volatilities on Destination and Northstar Clean 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 Destination with a short position of Northstar Clean. Check out your portfolio center. Please also check ongoing floating volatility patterns of Destination and Northstar Clean.
Diversification Opportunities for Destination and Northstar Clean
0.43 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Destination and Northstar is 0.43. Overlapping area represents the amount of risk that can be diversified away by holding Destination XL Group and Northstar Clean Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Northstar Clean Tech and Destination 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 Destination XL Group are associated (or correlated) with Northstar Clean. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Northstar Clean Tech has no effect on the direction of Destination i.e., Destination and Northstar Clean go up and down completely randomly.
Pair Corralation between Destination and Northstar Clean
Given the investment horizon of 90 days Destination XL Group is expected to under-perform the Northstar Clean. But the stock apears to be less risky and, when comparing its historical volatility, Destination XL Group is 1.17 times less risky than Northstar Clean. The stock trades about -0.24 of its potential returns per unit of risk. The Northstar Clean Technologies is currently generating about 0.02 of returns per unit of risk over similar time horizon. If you would invest 26.00 in Northstar Clean Technologies on December 24, 2024 and sell it today you would earn a total of 0.00 from holding Northstar Clean Technologies or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 98.36% |
Values | Daily Returns |
Destination XL Group vs. Northstar Clean Technologies
Performance |
Timeline |
Destination XL Group |
Northstar Clean Tech |
Destination and Northstar Clean Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Destination and Northstar Clean
The main advantage of trading using opposite Destination and Northstar Clean positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Destination position performs unexpectedly, Northstar Clean 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 Northstar Clean will offset losses from the drop in Northstar Clean's long position.Destination vs. Cato Corporation | Destination vs. Zumiez Inc | Destination vs. Tillys Inc | Destination vs. Duluth Holdings |
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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 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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