Correlation Between SANOK RUBBER and SCOTT TECHNOLOGY
Can any of the company-specific risk be diversified away by investing in both SANOK RUBBER and SCOTT TECHNOLOGY 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 SANOK RUBBER and SCOTT TECHNOLOGY into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SANOK RUBBER ZY and SCOTT TECHNOLOGY, you can compare the effects of market volatilities on SANOK RUBBER and SCOTT TECHNOLOGY 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 SANOK RUBBER with a short position of SCOTT TECHNOLOGY. Check out your portfolio center. Please also check ongoing floating volatility patterns of SANOK RUBBER and SCOTT TECHNOLOGY.
Diversification Opportunities for SANOK RUBBER and SCOTT TECHNOLOGY
-0.1 | Correlation Coefficient |
Good diversification
The 3 months correlation between SANOK and SCOTT is -0.1. Overlapping area represents the amount of risk that can be diversified away by holding SANOK RUBBER ZY and SCOTT TECHNOLOGY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SCOTT TECHNOLOGY and SANOK RUBBER 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 SANOK RUBBER ZY are associated (or correlated) with SCOTT TECHNOLOGY. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SCOTT TECHNOLOGY has no effect on the direction of SANOK RUBBER i.e., SANOK RUBBER and SCOTT TECHNOLOGY go up and down completely randomly.
Pair Corralation between SANOK RUBBER and SCOTT TECHNOLOGY
Assuming the 90 days horizon SANOK RUBBER ZY is expected to generate 0.6 times more return on investment than SCOTT TECHNOLOGY. However, SANOK RUBBER ZY is 1.67 times less risky than SCOTT TECHNOLOGY. It trades about 0.25 of its potential returns per unit of risk. SCOTT TECHNOLOGY is currently generating about 0.0 per unit of risk. If you would invest 439.00 in SANOK RUBBER ZY on October 7, 2024 and sell it today you would earn a total of 68.00 from holding SANOK RUBBER ZY or generate 15.49% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
SANOK RUBBER ZY vs. SCOTT TECHNOLOGY
Performance |
Timeline |
SANOK RUBBER ZY |
SCOTT TECHNOLOGY |
SANOK RUBBER and SCOTT TECHNOLOGY Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SANOK RUBBER and SCOTT TECHNOLOGY
The main advantage of trading using opposite SANOK RUBBER and SCOTT TECHNOLOGY positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SANOK RUBBER position performs unexpectedly, SCOTT TECHNOLOGY 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 SCOTT TECHNOLOGY will offset losses from the drop in SCOTT TECHNOLOGY's long position.SANOK RUBBER vs. Harmony Gold Mining | SANOK RUBBER vs. Linedata Services SA | SANOK RUBBER vs. ARDAGH METAL PACDL 0001 | SANOK RUBBER vs. Perseus Mining Limited |
SCOTT TECHNOLOGY vs. Apple Inc | SCOTT TECHNOLOGY vs. Apple Inc | SCOTT TECHNOLOGY vs. Apple Inc | SCOTT TECHNOLOGY vs. Apple Inc |
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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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