Correlation Between ABERFORTH SMCOS and SANOK RUBBER
Can any of the company-specific risk be diversified away by investing in both ABERFORTH SMCOS and SANOK RUBBER 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 ABERFORTH SMCOS and SANOK RUBBER into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ABERFORTH SMCOS TRLS 01 and SANOK RUBBER ZY, you can compare the effects of market volatilities on ABERFORTH SMCOS and SANOK RUBBER 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 ABERFORTH SMCOS with a short position of SANOK RUBBER. Check out your portfolio center. Please also check ongoing floating volatility patterns of ABERFORTH SMCOS and SANOK RUBBER.
Diversification Opportunities for ABERFORTH SMCOS and SANOK RUBBER
-0.2 | Correlation Coefficient |
Good diversification
The 3 months correlation between ABERFORTH and SANOK is -0.2. Overlapping area represents the amount of risk that can be diversified away by holding ABERFORTH SMCOS TRLS 01 and SANOK RUBBER ZY in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on SANOK RUBBER ZY and ABERFORTH SMCOS 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 ABERFORTH SMCOS TRLS 01 are associated (or correlated) with SANOK RUBBER. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of SANOK RUBBER ZY has no effect on the direction of ABERFORTH SMCOS i.e., ABERFORTH SMCOS and SANOK RUBBER go up and down completely randomly.
Pair Corralation between ABERFORTH SMCOS and SANOK RUBBER
Assuming the 90 days horizon ABERFORTH SMCOS TRLS 01 is expected to under-perform the SANOK RUBBER. But the stock apears to be less risky and, when comparing its historical volatility, ABERFORTH SMCOS TRLS 01 is 1.46 times less risky than SANOK RUBBER. The stock trades about -0.06 of its potential returns per unit of risk. The SANOK RUBBER ZY is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 503.00 in SANOK RUBBER ZY on December 30, 2024 and sell it today you would lose (33.00) from holding SANOK RUBBER ZY or give up 6.56% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
ABERFORTH SMCOS TRLS 01 vs. SANOK RUBBER ZY
Performance |
Timeline |
ABERFORTH SMCOS TRLS |
SANOK RUBBER ZY |
ABERFORTH SMCOS and SANOK RUBBER Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ABERFORTH SMCOS and SANOK RUBBER
The main advantage of trading using opposite ABERFORTH SMCOS and SANOK RUBBER positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ABERFORTH SMCOS position performs unexpectedly, SANOK RUBBER 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 SANOK RUBBER will offset losses from the drop in SANOK RUBBER's long position.ABERFORTH SMCOS vs. GungHo Online Entertainment | ABERFORTH SMCOS vs. DATATEC LTD 2 | ABERFORTH SMCOS vs. Science Applications International | ABERFORTH SMCOS vs. Datang International Power |
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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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