Correlation Between Auto Trader and CITIUS PHARMAC
Can any of the company-specific risk be diversified away by investing in both Auto Trader and CITIUS PHARMAC 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 Auto Trader and CITIUS PHARMAC into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Auto Trader Group and CITIUS PHARMAC DL, you can compare the effects of market volatilities on Auto Trader and CITIUS PHARMAC 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 Auto Trader with a short position of CITIUS PHARMAC. Check out your portfolio center. Please also check ongoing floating volatility patterns of Auto Trader and CITIUS PHARMAC.
Diversification Opportunities for Auto Trader and CITIUS PHARMAC
0.36 | Correlation Coefficient |
Weak diversification
The 3 months correlation between Auto and CITIUS is 0.36. Overlapping area represents the amount of risk that can be diversified away by holding Auto Trader Group and CITIUS PHARMAC DL in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CITIUS PHARMAC DL and Auto Trader 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 Auto Trader Group are associated (or correlated) with CITIUS PHARMAC. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CITIUS PHARMAC DL has no effect on the direction of Auto Trader i.e., Auto Trader and CITIUS PHARMAC go up and down completely randomly.
Pair Corralation between Auto Trader and CITIUS PHARMAC
Assuming the 90 days trading horizon Auto Trader Group is expected to generate 0.27 times more return on investment than CITIUS PHARMAC. However, Auto Trader Group is 3.68 times less risky than CITIUS PHARMAC. It trades about 0.08 of its potential returns per unit of risk. CITIUS PHARMAC DL is currently generating about -0.03 per unit of risk. If you would invest 576.00 in Auto Trader Group on September 17, 2024 and sell it today you would earn a total of 414.00 from holding Auto Trader Group or generate 71.88% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 99.8% |
Values | Daily Returns |
Auto Trader Group vs. CITIUS PHARMAC DL
Performance |
Timeline |
Auto Trader Group |
CITIUS PHARMAC DL |
Auto Trader and CITIUS PHARMAC Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Auto Trader and CITIUS PHARMAC
The main advantage of trading using opposite Auto Trader and CITIUS PHARMAC positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Auto Trader position performs unexpectedly, CITIUS PHARMAC 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 CITIUS PHARMAC will offset losses from the drop in CITIUS PHARMAC's long position.Auto Trader vs. Apple Inc | Auto Trader vs. Apple Inc | Auto Trader vs. Apple Inc | Auto Trader vs. Apple Inc |
CITIUS PHARMAC vs. Nucletron Electronic Aktiengesellschaft | CITIUS PHARMAC vs. ARROW ELECTRONICS | CITIUS PHARMAC vs. Auto Trader Group | CITIUS PHARMAC vs. Carsales |
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 Investing Opportunities module to build portfolios using our predefined set of ideas and optimize them against your investing preferences.
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