Correlation Between CORNISH METALS and BAKRIE SUMATERA
Can any of the company-specific risk be diversified away by investing in both CORNISH METALS and BAKRIE SUMATERA 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 CORNISH METALS and BAKRIE SUMATERA into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between CORNISH METALS INC and BAKRIE SUMATERA PL, you can compare the effects of market volatilities on CORNISH METALS and BAKRIE SUMATERA 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 CORNISH METALS with a short position of BAKRIE SUMATERA. Check out your portfolio center. Please also check ongoing floating volatility patterns of CORNISH METALS and BAKRIE SUMATERA.
Diversification Opportunities for CORNISH METALS and BAKRIE SUMATERA
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between CORNISH and BAKRIE is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding CORNISH METALS INC and BAKRIE SUMATERA PL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on BAKRIE SUMATERA PL and CORNISH METALS 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 CORNISH METALS INC are associated (or correlated) with BAKRIE SUMATERA. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of BAKRIE SUMATERA PL has no effect on the direction of CORNISH METALS i.e., CORNISH METALS and BAKRIE SUMATERA go up and down completely randomly.
Pair Corralation between CORNISH METALS and BAKRIE SUMATERA
Assuming the 90 days trading horizon CORNISH METALS is expected to generate 13.08 times less return on investment than BAKRIE SUMATERA. But when comparing it to its historical volatility, CORNISH METALS INC is 9.7 times less risky than BAKRIE SUMATERA. It trades about 0.12 of its potential returns per unit of risk. BAKRIE SUMATERA PL is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 0.20 in BAKRIE SUMATERA PL on April 22, 2025 and sell it today you would earn a total of 0.80 from holding BAKRIE SUMATERA PL or generate 400.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
CORNISH METALS INC vs. BAKRIE SUMATERA PL
Performance |
Timeline |
CORNISH METALS INC |
BAKRIE SUMATERA PL |
CORNISH METALS and BAKRIE SUMATERA Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with CORNISH METALS and BAKRIE SUMATERA
The main advantage of trading using opposite CORNISH METALS and BAKRIE SUMATERA positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if CORNISH METALS position performs unexpectedly, BAKRIE SUMATERA 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 BAKRIE SUMATERA will offset losses from the drop in BAKRIE SUMATERA's long position.CORNISH METALS vs. GAMES OPERATORS SA | CORNISH METALS vs. Forgame Holdings | CORNISH METALS vs. GAMEON ENTERTAINM TECHS | CORNISH METALS vs. Citic Telecom International |
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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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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