Correlation Between Hawkins and Core Molding
Can any of the company-specific risk be diversified away by investing in both Hawkins and Core Molding 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 Hawkins and Core Molding into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hawkins and Core Molding Technologies, you can compare the effects of market volatilities on Hawkins and Core Molding 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 Hawkins with a short position of Core Molding. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hawkins and Core Molding.
Diversification Opportunities for Hawkins and Core Molding
0.79 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Hawkins and Core is 0.79. Overlapping area represents the amount of risk that can be diversified away by holding Hawkins and Core Molding Technologies in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Core Molding Technologies and Hawkins 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 Hawkins are associated (or correlated) with Core Molding. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Core Molding Technologies has no effect on the direction of Hawkins i.e., Hawkins and Core Molding go up and down completely randomly.
Pair Corralation between Hawkins and Core Molding
Given the investment horizon of 90 days Hawkins is expected to under-perform the Core Molding. In addition to that, Hawkins is 1.84 times more volatile than Core Molding Technologies. It trades about -0.18 of its total potential returns per unit of risk. Core Molding Technologies is currently generating about -0.15 per unit of volatility. If you would invest 1,560 in Core Molding Technologies on November 3, 2024 and sell it today you would lose (83.00) from holding Core Molding Technologies or give up 5.32% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Hawkins vs. Core Molding Technologies
Performance |
Timeline |
Hawkins |
Core Molding Technologies |
Hawkins and Core Molding Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hawkins and Core Molding
The main advantage of trading using opposite Hawkins and Core Molding positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hawkins position performs unexpectedly, Core Molding 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 Core Molding will offset losses from the drop in Core Molding's long position.Hawkins vs. H B Fuller | Hawkins vs. Minerals Technologies | Hawkins vs. Quaker Chemical | Hawkins vs. Oil Dri |
Core Molding vs. Innospec | Core Molding vs. H B Fuller | Core Molding vs. Quaker Chemical | Core Molding vs. Minerals Technologies |
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 Aroon Oscillator module to analyze current equity momentum using Aroon Oscillator and other momentum ratios.
Other Complementary Tools
Equity Forecasting Use basic forecasting models to generate price predictions and determine price momentum | |
Portfolio Suggestion Get suggestions outside of your existing asset allocation including your own model portfolios | |
Economic Indicators Top statistical indicators that provide insights into how an economy is performing | |
Portfolio Volatility Check portfolio volatility and analyze historical return density to properly model market risk | |
Theme Ratings Determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance |