Correlation Between Malaysia Steel and Scientex Bhd
Can any of the company-specific risk be diversified away by investing in both Malaysia Steel and Scientex Bhd 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 Malaysia Steel and Scientex Bhd into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Malaysia Steel Works and Scientex Bhd, you can compare the effects of market volatilities on Malaysia Steel and Scientex Bhd 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 Malaysia Steel with a short position of Scientex Bhd. Check out your portfolio center. Please also check ongoing floating volatility patterns of Malaysia Steel and Scientex Bhd.
Diversification Opportunities for Malaysia Steel and Scientex Bhd
-0.32 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Malaysia and Scientex is -0.32. Overlapping area represents the amount of risk that can be diversified away by holding Malaysia Steel Works and Scientex Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Scientex Bhd and Malaysia Steel 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 Malaysia Steel Works are associated (or correlated) with Scientex Bhd. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Scientex Bhd has no effect on the direction of Malaysia Steel i.e., Malaysia Steel and Scientex Bhd go up and down completely randomly.
Pair Corralation between Malaysia Steel and Scientex Bhd
Assuming the 90 days trading horizon Malaysia Steel Works is expected to generate 1.39 times more return on investment than Scientex Bhd. However, Malaysia Steel is 1.39 times more volatile than Scientex Bhd. It trades about 0.06 of its potential returns per unit of risk. Scientex Bhd is currently generating about -0.04 per unit of risk. If you would invest 31.00 in Malaysia Steel Works on September 28, 2024 and sell it today you would earn a total of 1.00 from holding Malaysia Steel Works or generate 3.23% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 95.45% |
Values | Daily Returns |
Malaysia Steel Works vs. Scientex Bhd
Performance |
Timeline |
Malaysia Steel Works |
Scientex Bhd |
Malaysia Steel and Scientex Bhd Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Malaysia Steel and Scientex Bhd
The main advantage of trading using opposite Malaysia Steel and Scientex Bhd positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Malaysia Steel position performs unexpectedly, Scientex Bhd 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 Scientex Bhd will offset losses from the drop in Scientex Bhd's long position.Malaysia Steel vs. Press Metal Bhd | Malaysia Steel vs. YX Precious Metals | Malaysia Steel vs. Al Aqar Healthcare | Malaysia Steel vs. Mercury Industries Bhd |
Scientex Bhd vs. Petronas Chemicals Group | Scientex Bhd vs. Impiana Hotels Bhd | Scientex Bhd vs. MQ Technology Bhd | Scientex Bhd vs. Malaysia Steel Works |
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 Fundamental Analysis module to view fundamental data based on most recent published financial statements.
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