Correlation Between Jastrzebska Spotka and Polski Koncern
Can any of the company-specific risk be diversified away by investing in both Jastrzebska Spotka and Polski Koncern 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 Jastrzebska Spotka and Polski Koncern into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Jastrzebska Spotka Weglowa and Polski Koncern Naftowy, you can compare the effects of market volatilities on Jastrzebska Spotka and Polski Koncern 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 Jastrzebska Spotka with a short position of Polski Koncern. Check out your portfolio center. Please also check ongoing floating volatility patterns of Jastrzebska Spotka and Polski Koncern.
Diversification Opportunities for Jastrzebska Spotka and Polski Koncern
0.62 | Correlation Coefficient |
Poor diversification
The 3 months correlation between Jastrzebska and Polski is 0.62. Overlapping area represents the amount of risk that can be diversified away by holding Jastrzebska Spotka Weglowa and Polski Koncern Naftowy in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Polski Koncern Naftowy and Jastrzebska Spotka 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 Jastrzebska Spotka Weglowa are associated (or correlated) with Polski Koncern. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Polski Koncern Naftowy has no effect on the direction of Jastrzebska Spotka i.e., Jastrzebska Spotka and Polski Koncern go up and down completely randomly.
Pair Corralation between Jastrzebska Spotka and Polski Koncern
Assuming the 90 days trading horizon Jastrzebska Spotka is expected to generate 1.08 times less return on investment than Polski Koncern. In addition to that, Jastrzebska Spotka is 2.87 times more volatile than Polski Koncern Naftowy. It trades about 0.15 of its total potential returns per unit of risk. Polski Koncern Naftowy is currently generating about 0.45 per unit of volatility. If you would invest 4,937 in Polski Koncern Naftowy on November 3, 2024 and sell it today you would earn a total of 442.00 from holding Polski Koncern Naftowy or generate 8.95% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
Jastrzebska Spotka Weglowa vs. Polski Koncern Naftowy
Performance |
Timeline |
Jastrzebska Spotka |
Polski Koncern Naftowy |
Jastrzebska Spotka and Polski Koncern Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Jastrzebska Spotka and Polski Koncern
The main advantage of trading using opposite Jastrzebska Spotka and Polski Koncern positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Jastrzebska Spotka position performs unexpectedly, Polski Koncern 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 Polski Koncern will offset losses from the drop in Polski Koncern's long position.Jastrzebska Spotka vs. Quantum Software SA | Jastrzebska Spotka vs. UniCredit SpA | Jastrzebska Spotka vs. Bank Millennium SA | Jastrzebska Spotka vs. Alior Bank SA |
Polski Koncern vs. TEN SQUARE GAMES | Polski Koncern vs. Bank Millennium SA | Polski Koncern vs. Vivid Games SA | Polski Koncern vs. BNP Paribas Bank |
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 Watchlist Optimization module to optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm.
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