Correlation Between Atlantic Grupa and Jadroplov
Can any of the company-specific risk be diversified away by investing in both Atlantic Grupa and Jadroplov 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 Atlantic Grupa and Jadroplov into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Atlantic Grupa dd and Jadroplov dd, you can compare the effects of market volatilities on Atlantic Grupa and Jadroplov 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 Atlantic Grupa with a short position of Jadroplov. Check out your portfolio center. Please also check ongoing floating volatility patterns of Atlantic Grupa and Jadroplov.
Diversification Opportunities for Atlantic Grupa and Jadroplov
-0.44 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Atlantic and Jadroplov is -0.44. Overlapping area represents the amount of risk that can be diversified away by holding Atlantic Grupa dd and Jadroplov dd in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Jadroplov dd and Atlantic Grupa 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 Atlantic Grupa dd are associated (or correlated) with Jadroplov. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Jadroplov dd has no effect on the direction of Atlantic Grupa i.e., Atlantic Grupa and Jadroplov go up and down completely randomly.
Pair Corralation between Atlantic Grupa and Jadroplov
Assuming the 90 days trading horizon Atlantic Grupa dd is expected to under-perform the Jadroplov. But the stock apears to be less risky and, when comparing its historical volatility, Atlantic Grupa dd is 1.79 times less risky than Jadroplov. The stock trades about -0.1 of its potential returns per unit of risk. The Jadroplov dd is currently generating about -0.04 of returns per unit of risk over similar time horizon. If you would invest 795.00 in Jadroplov dd on September 12, 2024 and sell it today you would lose (10.00) from holding Jadroplov dd or give up 1.26% of portfolio value over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 73.68% |
| Values | Daily Returns |
Atlantic Grupa dd vs. Jadroplov dd
Performance |
| Timeline |
| Atlantic Grupa dd |
| Jadroplov dd |
Atlantic Grupa and Jadroplov Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Atlantic Grupa and Jadroplov
The main advantage of trading using opposite Atlantic Grupa and Jadroplov positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Atlantic Grupa position performs unexpectedly, Jadroplov 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 Jadroplov will offset losses from the drop in Jadroplov's long position.| Atlantic Grupa vs. Dalekovod dd | Atlantic Grupa vs. Institut IGH dd | Atlantic Grupa vs. Jadroplov dd | Atlantic Grupa vs. Zagrebacka Banka dd |
| Jadroplov vs. Dalekovod dd | Jadroplov vs. Institut IGH dd | Jadroplov vs. Zagrebacka Banka dd | Jadroplov vs. Podravka Prehrambena Industrija |
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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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