Correlation Between Malayan Banking and YTL Hospitality
Can any of the company-specific risk be diversified away by investing in both Malayan Banking and YTL Hospitality 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 YTL Hospitality 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 YTL Hospitality REIT, you can compare the effects of market volatilities on Malayan Banking and YTL Hospitality 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 YTL Hospitality. Check out your portfolio center. Please also check ongoing floating volatility patterns of Malayan Banking and YTL Hospitality.
Diversification Opportunities for Malayan Banking and YTL Hospitality
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Malayan and YTL is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding Malayan Banking Bhd and YTL Hospitality REIT in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on YTL Hospitality REIT 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 YTL Hospitality. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of YTL Hospitality REIT has no effect on the direction of Malayan Banking i.e., Malayan Banking and YTL Hospitality go up and down completely randomly.
Pair Corralation between Malayan Banking and YTL Hospitality
Assuming the 90 days trading horizon Malayan Banking Bhd is expected to under-perform the YTL Hospitality. But the stock apears to be less risky and, when comparing its historical volatility, Malayan Banking Bhd is 1.27 times less risky than YTL Hospitality. The stock trades about -0.13 of its potential returns per unit of risk. The YTL Hospitality REIT is currently generating about -0.01 of returns per unit of risk over similar time horizon. If you would invest 120.00 in YTL Hospitality REIT on September 26, 2024 and sell it today you would lose (1.00) from holding YTL Hospitality REIT or give up 0.83% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Malayan Banking Bhd vs. YTL Hospitality REIT
Performance |
Timeline |
Malayan Banking Bhd |
YTL Hospitality REIT |
Malayan Banking and YTL Hospitality Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Malayan Banking and YTL Hospitality
The main advantage of trading using opposite Malayan Banking and YTL Hospitality positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Malayan Banking position performs unexpectedly, YTL Hospitality 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 YTL Hospitality will offset losses from the drop in YTL Hospitality's long position.Malayan Banking vs. Public Bank Bhd | Malayan Banking vs. Hong Leong Bank | Malayan Banking vs. RHB Bank Bhd | Malayan Banking vs. Genetec Technology Bhd |
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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 My Watchlist Analysis module to analyze my current watchlist and to refresh optimization strategy. Macroaxis watchlist is based on self-learning algorithm to remember stocks you like.
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