Correlation Between Simple Mart and Trade Van
Can any of the company-specific risk be diversified away by investing in both Simple Mart and Trade Van 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 Simple Mart and Trade Van into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Simple Mart Retail and Trade Van Information Services, you can compare the effects of market volatilities on Simple Mart and Trade Van 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 Simple Mart with a short position of Trade Van. Check out your portfolio center. Please also check ongoing floating volatility patterns of Simple Mart and Trade Van.
Diversification Opportunities for Simple Mart and Trade Van
-0.63 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Simple and Trade is -0.63. Overlapping area represents the amount of risk that can be diversified away by holding Simple Mart Retail and Trade Van Information Services in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Trade Van Information and Simple Mart 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 Simple Mart Retail are associated (or correlated) with Trade Van. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Trade Van Information has no effect on the direction of Simple Mart i.e., Simple Mart and Trade Van go up and down completely randomly.
Pair Corralation between Simple Mart and Trade Van
Assuming the 90 days trading horizon Simple Mart Retail is expected to generate 0.37 times more return on investment than Trade Van. However, Simple Mart Retail is 2.7 times less risky than Trade Van. It trades about 0.31 of its potential returns per unit of risk. Trade Van Information Services is currently generating about 0.03 per unit of risk. If you would invest 3,885 in Simple Mart Retail on November 28, 2024 and sell it today you would earn a total of 250.00 from holding Simple Mart Retail or generate 6.44% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Simple Mart Retail vs. Trade Van Information Services
Performance |
| Timeline |
| Simple Mart Retail |
| Trade Van Information |
Simple Mart and Trade Van Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Simple Mart and Trade Van
The main advantage of trading using opposite Simple Mart and Trade Van positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Simple Mart position performs unexpectedly, Trade Van 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 Trade Van will offset losses from the drop in Trade Van's long position.| Simple Mart vs. Holiday Entertainment Co | Simple Mart vs. X Legend Entertainment Co | Simple Mart vs. Trade Van Information Services | Simple Mart vs. Softstar Entertainment |
| Trade Van vs. Taiwan Sakura Corp | Trade Van vs. Charoen Pokphand Enterprise | Trade Van vs. Taiwan Cogeneration Corp | Trade Van vs. Taiwan Secom Co |
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 Price Transformation module to use Price Transformation models to analyze the depth of different equity instruments across global markets.
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