Correlation Between Long Bon and Sinyi Realty
Can any of the company-specific risk be diversified away by investing in both Long Bon and Sinyi Realty 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 Long Bon and Sinyi Realty into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Long Bon International and Sinyi Realty, you can compare the effects of market volatilities on Long Bon and Sinyi Realty 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 Long Bon with a short position of Sinyi Realty. Check out your portfolio center. Please also check ongoing floating volatility patterns of Long Bon and Sinyi Realty.
Diversification Opportunities for Long Bon and Sinyi Realty
0.56 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Long and Sinyi is 0.56. Overlapping area represents the amount of risk that can be diversified away by holding Long Bon International and Sinyi Realty in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Sinyi Realty and Long Bon 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 Long Bon International are associated (or correlated) with Sinyi Realty. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Sinyi Realty has no effect on the direction of Long Bon i.e., Long Bon and Sinyi Realty go up and down completely randomly.
Pair Corralation between Long Bon and Sinyi Realty
Assuming the 90 days trading horizon Long Bon International is expected to under-perform the Sinyi Realty. In addition to that, Long Bon is 1.23 times more volatile than Sinyi Realty. It trades about -0.28 of its total potential returns per unit of risk. Sinyi Realty is currently generating about -0.22 per unit of volatility. If you would invest 2,950 in Sinyi Realty on September 29, 2024 and sell it today you would lose (90.00) from holding Sinyi Realty or give up 3.05% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 95.65% |
Values | Daily Returns |
Long Bon International vs. Sinyi Realty
Performance |
Timeline |
Long Bon International |
Sinyi Realty |
Long Bon and Sinyi Realty Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Long Bon and Sinyi Realty
The main advantage of trading using opposite Long Bon and Sinyi Realty positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Long Bon position performs unexpectedly, Sinyi Realty 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 Sinyi Realty will offset losses from the drop in Sinyi Realty's long position.Long Bon vs. Hung Sheng Construction | Long Bon vs. Chainqui Construction Development | Long Bon vs. BES Engineering Co | Long Bon vs. Sincere Navigation Corp |
Sinyi Realty vs. Hung Sheng Construction | Sinyi Realty vs. Chainqui Construction Development | Sinyi Realty vs. BES Engineering Co | Sinyi Realty vs. Long Bon International |
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 Instant Ratings module to determine any equity ratings based on digital recommendations. Macroaxis instant equity ratings are based on combination of fundamental analysis and risk-adjusted market performance.
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