Correlation Between Hong Leong and Hengyuan Refining
Can any of the company-specific risk be diversified away by investing in both Hong Leong and Hengyuan Refining 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 Hong Leong and Hengyuan Refining into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Hong Leong Bank and Hengyuan Refining, you can compare the effects of market volatilities on Hong Leong and Hengyuan Refining 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 Hong Leong with a short position of Hengyuan Refining. Check out your portfolio center. Please also check ongoing floating volatility patterns of Hong Leong and Hengyuan Refining.
Diversification Opportunities for Hong Leong and Hengyuan Refining
-0.48 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Hong and Hengyuan is -0.48. Overlapping area represents the amount of risk that can be diversified away by holding Hong Leong Bank and Hengyuan Refining in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Hengyuan Refining and Hong Leong 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 Hong Leong Bank are associated (or correlated) with Hengyuan Refining. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Hengyuan Refining has no effect on the direction of Hong Leong i.e., Hong Leong and Hengyuan Refining go up and down completely randomly.
Pair Corralation between Hong Leong and Hengyuan Refining
Assuming the 90 days trading horizon Hong Leong Bank is expected to generate 0.43 times more return on investment than Hengyuan Refining. However, Hong Leong Bank is 2.33 times less risky than Hengyuan Refining. It trades about 0.07 of its potential returns per unit of risk. Hengyuan Refining is currently generating about -0.13 per unit of risk. If you would invest 1,992 in Hong Leong Bank on December 24, 2024 and sell it today you would earn a total of 56.00 from holding Hong Leong Bank or generate 2.81% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Hong Leong Bank vs. Hengyuan Refining
Performance |
Timeline |
Hong Leong Bank |
Hengyuan Refining |
Hong Leong and Hengyuan Refining Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Hong Leong and Hengyuan Refining
The main advantage of trading using opposite Hong Leong and Hengyuan Refining positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Hong Leong position performs unexpectedly, Hengyuan Refining 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 Hengyuan Refining will offset losses from the drop in Hengyuan Refining's long position.Hong Leong vs. Binasat Communications Bhd | Hong Leong vs. RHB Bank Bhd | Hong Leong vs. SSF Home Group | Hong Leong vs. Malayan Banking Bhd |
Hengyuan Refining vs. Public Bank Bhd | Hengyuan Refining vs. Sunway Construction Group | Hengyuan Refining vs. Senheng New Retail | Hengyuan Refining vs. Coraza Integrated Technology |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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