Correlation Between Polski Koncern and Atlantis
Can any of the company-specific risk be diversified away by investing in both Polski Koncern and Atlantis 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 Polski Koncern and Atlantis into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Polski Koncern Naftowy and Atlantis SA, you can compare the effects of market volatilities on Polski Koncern and Atlantis 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 Polski Koncern with a short position of Atlantis. Check out your portfolio center. Please also check ongoing floating volatility patterns of Polski Koncern and Atlantis.
Diversification Opportunities for Polski Koncern and Atlantis
-0.55 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Polski and Atlantis is -0.55. Overlapping area represents the amount of risk that can be diversified away by holding Polski Koncern Naftowy and Atlantis SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Atlantis SA and Polski Koncern 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 Polski Koncern Naftowy are associated (or correlated) with Atlantis. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Atlantis SA has no effect on the direction of Polski Koncern i.e., Polski Koncern and Atlantis go up and down completely randomly.
Pair Corralation between Polski Koncern and Atlantis
Assuming the 90 days trading horizon Polski Koncern Naftowy is expected to under-perform the Atlantis. But the stock apears to be less risky and, when comparing its historical volatility, Polski Koncern Naftowy is 2.59 times less risky than Atlantis. The stock trades about -0.08 of its potential returns per unit of risk. The Atlantis SA is currently generating about 0.36 of returns per unit of risk over similar time horizon. If you would invest 8.90 in Atlantis SA on October 9, 2024 and sell it today you would earn a total of 8.10 from holding Atlantis SA or generate 91.01% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Against |
| Strength | Very Weak |
| Accuracy | 100.0% |
| Values | Daily Returns |
Polski Koncern Naftowy vs. Atlantis SA
Performance |
| Timeline |
| Polski Koncern Naftowy |
| Atlantis SA |
Polski Koncern and Atlantis Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with Polski Koncern and Atlantis
The main advantage of trading using opposite Polski Koncern and Atlantis positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Polski Koncern position performs unexpectedly, Atlantis 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 Atlantis will offset losses from the drop in Atlantis' long position.| Polski Koncern vs. Mlk Foods Public | Polski Koncern vs. Quantum Software SA | Polski Koncern vs. ING Bank lski | Polski Koncern vs. CI Games SA |
| Atlantis vs. Banco Santander SA | Atlantis vs. UniCredit SpA | Atlantis vs. CEZ as | Atlantis vs. Polski Koncern Naftowy |
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 Pattern Recognition module to use different Pattern Recognition models to time the market across multiple global exchanges.
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