Correlation Between FARM 51 and ARISTOCRAT LEISURE
Can any of the company-specific risk be diversified away by investing in both FARM 51 and ARISTOCRAT LEISURE 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 FARM 51 and ARISTOCRAT LEISURE into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between FARM 51 GROUP and ARISTOCRAT LEISURE, you can compare the effects of market volatilities on FARM 51 and ARISTOCRAT LEISURE 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 FARM 51 with a short position of ARISTOCRAT LEISURE. Check out your portfolio center. Please also check ongoing floating volatility patterns of FARM 51 and ARISTOCRAT LEISURE.
Diversification Opportunities for FARM 51 and ARISTOCRAT LEISURE
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between FARM and ARISTOCRAT is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding FARM 51 GROUP and ARISTOCRAT LEISURE in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ARISTOCRAT LEISURE and FARM 51 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 FARM 51 GROUP are associated (or correlated) with ARISTOCRAT LEISURE. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ARISTOCRAT LEISURE has no effect on the direction of FARM 51 i.e., FARM 51 and ARISTOCRAT LEISURE go up and down completely randomly.
Pair Corralation between FARM 51 and ARISTOCRAT LEISURE
Assuming the 90 days horizon FARM 51 GROUP is expected to generate 1.97 times more return on investment than ARISTOCRAT LEISURE. However, FARM 51 is 1.97 times more volatile than ARISTOCRAT LEISURE. It trades about 0.08 of its potential returns per unit of risk. ARISTOCRAT LEISURE is currently generating about -0.07 per unit of risk. If you would invest 294.00 in FARM 51 GROUP on October 29, 2024 and sell it today you would earn a total of 8.00 from holding FARM 51 GROUP or generate 2.72% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
FARM 51 GROUP vs. ARISTOCRAT LEISURE
Performance |
| Timeline |
| FARM 51 GROUP |
| ARISTOCRAT LEISURE |
FARM 51 and ARISTOCRAT LEISURE Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with FARM 51 and ARISTOCRAT LEISURE
The main advantage of trading using opposite FARM 51 and ARISTOCRAT LEISURE positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if FARM 51 position performs unexpectedly, ARISTOCRAT LEISURE 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 ARISTOCRAT LEISURE will offset losses from the drop in ARISTOCRAT LEISURE's long position.| FARM 51 vs. COMBA TELECOM SYST | FARM 51 vs. Chunghwa Telecom Co | FARM 51 vs. Geely Automobile Holdings | FARM 51 vs. Commercial Vehicle Group |
| ARISTOCRAT LEISURE vs. Urban Outfitters | ARISTOCRAT LEISURE vs. SWISS WATER DECAFFCOFFEE | ARISTOCRAT LEISURE vs. Spirent Communications plc | ARISTOCRAT LEISURE vs. URBAN OUTFITTERS |
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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.
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