Correlation Between Clean Science and Korea Refractories
Can any of the company-specific risk be diversified away by investing in both Clean Science and Korea Refractories 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 Clean Science and Korea Refractories into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Clean Science co and Korea Refractories Co, you can compare the effects of market volatilities on Clean Science and Korea Refractories 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 Clean Science with a short position of Korea Refractories. Check out your portfolio center. Please also check ongoing floating volatility patterns of Clean Science and Korea Refractories.
Diversification Opportunities for Clean Science and Korea Refractories
0.83 | Correlation Coefficient |
Very poor diversification
The 3 months correlation between Clean and Korea is 0.83. Overlapping area represents the amount of risk that can be diversified away by holding Clean Science co and Korea Refractories Co in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Korea Refractories and Clean Science 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 Clean Science co are associated (or correlated) with Korea Refractories. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Korea Refractories has no effect on the direction of Clean Science i.e., Clean Science and Korea Refractories go up and down completely randomly.
Pair Corralation between Clean Science and Korea Refractories
Assuming the 90 days trading horizon Clean Science co is expected to under-perform the Korea Refractories. In addition to that, Clean Science is 1.36 times more volatile than Korea Refractories Co. It trades about -0.08 of its total potential returns per unit of risk. Korea Refractories Co is currently generating about -0.04 per unit of volatility. If you would invest 225,252 in Korea Refractories Co on October 6, 2024 and sell it today you would lose (8,252) from holding Korea Refractories Co or give up 3.66% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 97.62% |
Values | Daily Returns |
Clean Science co vs. Korea Refractories Co
Performance |
Timeline |
Clean Science co |
Korea Refractories |
Clean Science and Korea Refractories Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Clean Science and Korea Refractories
The main advantage of trading using opposite Clean Science and Korea Refractories positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Clean Science position performs unexpectedly, Korea Refractories 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 Korea Refractories will offset losses from the drop in Korea Refractories' long position.Clean Science vs. Stic Investments | Clean Science vs. Atinum Investment Co | Clean Science vs. Daiyang Metal Co | Clean Science vs. Automobile Pc |
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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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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