Correlation Between Hudson Technologies and Mativ Holdings
Can any of the company-specific risk be diversified away by investing in both Hudson Technologies and Mativ Holdings 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 Hudson Technologies and Mativ Holdings into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hudson Technologies and Mativ Holdings, you can compare the effects of market volatilities on Hudson Technologies and Mativ Holdings 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 Hudson Technologies with a short position of Mativ Holdings. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hudson Technologies and Mativ Holdings.
Diversification Opportunities for Hudson Technologies and Mativ Holdings
0.88 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Hudson and Mativ is 0.88. Overlapping area represents the amount of risk that can be diversified away by holding Hudson Technologies and Mativ Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Mativ Holdings and Hudson Technologies 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 Hudson Technologies are associated (or correlated) with Mativ Holdings. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Mativ Holdings has no effect on the direction of Hudson Technologies i.e., Hudson Technologies and Mativ Holdings go up and down completely randomly.
Pair Corralation between Hudson Technologies and Mativ Holdings
Given the investment horizon of 90 days Hudson Technologies is expected to generate 0.94 times more return on investment than Mativ Holdings. However, Hudson Technologies is 1.06 times less risky than Mativ Holdings. It trades about -0.16 of its potential returns per unit of risk. Mativ Holdings is currently generating about -0.16 per unit of risk. If you would invest 837.00 in Hudson Technologies on September 18, 2024 and sell it today you would lose (275.00) from holding Hudson Technologies or give up 32.86% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 100.0% |
Values | Daily Returns |
Hudson Technologies vs. Mativ Holdings
Performance |
Timeline |
Hudson Technologies |
Mativ Holdings |
Hudson Technologies and Mativ Holdings Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hudson Technologies and Mativ Holdings
The main advantage of trading using opposite Hudson Technologies and Mativ Holdings positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hudson Technologies position performs unexpectedly, Mativ Holdings 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 Mativ Holdings will offset losses from the drop in Mativ Holdings' long position.Hudson Technologies vs. Sensient Technologies | Hudson Technologies vs. Innospec | Hudson Technologies vs. H B Fuller | Hudson Technologies vs. Quaker Chemical |
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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 Headlines Timeline module to stay connected to all market stories and filter out noise. Drill down to analyze hype elasticity.
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