Correlation Between YTL Hospitality and Sime Darby
Can any of the company-specific risk be diversified away by investing in both YTL Hospitality and Sime Darby 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 YTL Hospitality and Sime Darby into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between YTL Hospitality REIT and Sime Darby Bhd, you can compare the effects of market volatilities on YTL Hospitality and Sime Darby 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 YTL Hospitality with a short position of Sime Darby. Check out your portfolio center. Please also check ongoing floating volatility patterns of YTL Hospitality and Sime Darby.
Diversification Opportunities for YTL Hospitality and Sime Darby
0.5 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between YTL and Sime is 0.5. Overlapping area represents the amount of risk that can be diversified away by holding YTL Hospitality REIT and Sime Darby Bhd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sime Darby Bhd and YTL Hospitality 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 YTL Hospitality REIT are associated (or correlated) with Sime Darby. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sime Darby Bhd has no effect on the direction of YTL Hospitality i.e., YTL Hospitality and Sime Darby go up and down completely randomly.
Pair Corralation between YTL Hospitality and Sime Darby
Assuming the 90 days trading horizon YTL Hospitality REIT is expected to under-perform the Sime Darby. But the stock apears to be less risky and, when comparing its historical volatility, YTL Hospitality REIT is 2.19 times less risky than Sime Darby. The stock trades about -0.05 of its potential returns per unit of risk. The Sime Darby Bhd is currently generating about 0.03 of returns per unit of risk over similar time horizon. If you would invest 232.00 in Sime Darby Bhd on September 28, 2024 and sell it today you would earn a total of 2.00 from holding Sime Darby Bhd or generate 0.86% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
YTL Hospitality REIT vs. Sime Darby Bhd
Performance |
Timeline |
YTL Hospitality REIT |
Sime Darby Bhd |
YTL Hospitality and Sime Darby Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with YTL Hospitality and Sime Darby
The main advantage of trading using opposite YTL Hospitality and Sime Darby positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if YTL Hospitality position performs unexpectedly, Sime Darby 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 Sime Darby will offset losses from the drop in Sime Darby's long position.YTL Hospitality vs. Press Metal Bhd | YTL Hospitality vs. IHH Healthcare Bhd | YTL Hospitality vs. TAS Offshore Bhd | YTL Hospitality vs. FARM FRESH BERHAD |
Sime Darby vs. OSK Holdings Bhd | Sime Darby vs. Genetec Technology Bhd | Sime Darby vs. Pentamaster Bhd | Sime Darby vs. Heineken Bhd |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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