Correlation Between Ming Le and QBE Insurance
Can any of the company-specific risk be diversified away by investing in both Ming Le and QBE Insurance 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 Ming Le and QBE Insurance into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Ming Le Sports and QBE Insurance Group, you can compare the effects of market volatilities on Ming Le and QBE Insurance 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 Ming Le with a short position of QBE Insurance. Check out your portfolio center. Please also check ongoing floating volatility patterns of Ming Le and QBE Insurance.
Diversification Opportunities for Ming Le and QBE Insurance
0.65 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Ming and QBE is 0.65. Overlapping area represents the amount of risk that can be diversified away by holding Ming Le Sports and QBE Insurance Group in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on QBE Insurance Group and Ming Le 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 Ming Le Sports are associated (or correlated) with QBE Insurance. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of QBE Insurance Group has no effect on the direction of Ming Le i.e., Ming Le and QBE Insurance go up and down completely randomly.
Pair Corralation between Ming Le and QBE Insurance
Assuming the 90 days trading horizon Ming Le is expected to generate 3.41 times less return on investment than QBE Insurance. In addition to that, Ming Le is 1.32 times more volatile than QBE Insurance Group. It trades about 0.02 of its total potential returns per unit of risk. QBE Insurance Group is currently generating about 0.07 per unit of volatility. If you would invest 731.00 in QBE Insurance Group on August 27, 2024 and sell it today you would earn a total of 489.00 from holding QBE Insurance Group or generate 66.89% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
Ming Le Sports vs. QBE Insurance Group
Performance |
| Timeline |
| Ming Le Sports |
| QBE Insurance Group |
Ming Le and QBE Insurance Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Ming Le and QBE Insurance
The main advantage of trading using opposite Ming Le and QBE Insurance positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Ming Le position performs unexpectedly, QBE Insurance 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 QBE Insurance will offset losses from the drop in QBE Insurance's long position.The idea behind Ming Le Sports and QBE Insurance Group pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| QBE Insurance vs. Insurance Australia Group | QBE Insurance vs. Superior Plus Corp | QBE Insurance vs. NMI Holdings | QBE Insurance vs. Origin Agritech |
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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