Correlation Between STRAITS TRADG and CORNISH METALS
Can any of the company-specific risk be diversified away by investing in both STRAITS TRADG and CORNISH METALS 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 STRAITS TRADG and CORNISH METALS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between STRAITS TRADG SD and CORNISH METALS INC, you can compare the effects of market volatilities on STRAITS TRADG and CORNISH METALS 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 STRAITS TRADG with a short position of CORNISH METALS. Check out your portfolio center. Please also check ongoing floating volatility patterns of STRAITS TRADG and CORNISH METALS.
Diversification Opportunities for STRAITS TRADG and CORNISH METALS
0.69 | Correlation Coefficient |
Poor diversification
The 3 months correlation between STRAITS and CORNISH is 0.69. Overlapping area represents the amount of risk that can be diversified away by holding STRAITS TRADG SD and CORNISH METALS INC in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CORNISH METALS INC and STRAITS TRADG 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 STRAITS TRADG SD are associated (or correlated) with CORNISH METALS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CORNISH METALS INC has no effect on the direction of STRAITS TRADG i.e., STRAITS TRADG and CORNISH METALS go up and down completely randomly.
Pair Corralation between STRAITS TRADG and CORNISH METALS
Assuming the 90 days horizon STRAITS TRADG is expected to generate 1.55 times less return on investment than CORNISH METALS. But when comparing it to its historical volatility, STRAITS TRADG SD is 1.89 times less risky than CORNISH METALS. It trades about 0.15 of its potential returns per unit of risk. CORNISH METALS INC is currently generating about 0.12 of returns per unit of risk over similar time horizon. If you would invest 6.75 in CORNISH METALS INC on April 22, 2025 and sell it today you would earn a total of 1.85 from holding CORNISH METALS INC or generate 27.41% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
STRAITS TRADG SD vs. CORNISH METALS INC
Performance |
Timeline |
STRAITS TRADG SD |
CORNISH METALS INC |
STRAITS TRADG and CORNISH METALS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with STRAITS TRADG and CORNISH METALS
The main advantage of trading using opposite STRAITS TRADG and CORNISH METALS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if STRAITS TRADG position performs unexpectedly, CORNISH METALS 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 CORNISH METALS will offset losses from the drop in CORNISH METALS's long position.STRAITS TRADG vs. Liberty Broadband | STRAITS TRADG vs. Iridium Communications | STRAITS TRADG vs. ALERION CLEANPOWER | STRAITS TRADG vs. CLEAN ENERGY FUELS |
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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 Portfolio Suggestion module to get suggestions outside of your existing asset allocation including your own model portfolios.
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