Correlation Between Malayan Banking and Leader Steel
Can any of the company-specific risk be diversified away by investing in both Malayan Banking and Leader Steel 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 Malayan Banking and Leader Steel into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Malayan Banking Bhd and Leader Steel Holdings, you can compare the effects of market volatilities on Malayan Banking and Leader Steel 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 Malayan Banking with a short position of Leader Steel. Check out your portfolio center. Please also check ongoing floating volatility patterns of Malayan Banking and Leader Steel.
Diversification Opportunities for Malayan Banking and Leader Steel
0.11 | Correlation Coefficient |
Average diversification
The 3 months correlation between Malayan and Leader is 0.11. Overlapping area represents the amount of risk that can be diversified away by holding Malayan Banking Bhd and Leader Steel Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Leader Steel Holdings and Malayan Banking 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 Malayan Banking Bhd are associated (or correlated) with Leader Steel. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Leader Steel Holdings has no effect on the direction of Malayan Banking i.e., Malayan Banking and Leader Steel go up and down completely randomly.
Pair Corralation between Malayan Banking and Leader Steel
Assuming the 90 days trading horizon Malayan Banking Bhd is expected to generate 0.25 times more return on investment than Leader Steel. However, Malayan Banking Bhd is 3.94 times less risky than Leader Steel. It trades about -0.05 of its potential returns per unit of risk. Leader Steel Holdings is currently generating about -0.12 per unit of risk. If you would invest 1,042 in Malayan Banking Bhd on September 3, 2024 and sell it today you would lose (22.00) from holding Malayan Banking Bhd or give up 2.11% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Malayan Banking Bhd vs. Leader Steel Holdings
Performance |
Timeline |
Malayan Banking Bhd |
Leader Steel Holdings |
Malayan Banking and Leader Steel Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Malayan Banking and Leader Steel
The main advantage of trading using opposite Malayan Banking and Leader Steel positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Malayan Banking position performs unexpectedly, Leader Steel 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 Leader Steel will offset losses from the drop in Leader Steel's long position.Malayan Banking vs. YX Precious Metals | Malayan Banking vs. Melewar Industrial Group | Malayan Banking vs. Central Industrial Corp | Malayan Banking vs. Sungei Bagan Rubber |
Leader Steel vs. Press Metal Bhd | Leader Steel vs. CSC Steel Holdings | Leader Steel vs. Malaysia Steel Works | Leader Steel vs. Choo Bee Metal |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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