Correlation Between KGHM Polska and Logintrade
Can any of the company-specific risk be diversified away by investing in both KGHM Polska and Logintrade 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 KGHM Polska and Logintrade into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between KGHM Polska Miedz and Logintrade SA, you can compare the effects of market volatilities on KGHM Polska and Logintrade 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 KGHM Polska with a short position of Logintrade. Check out your portfolio center. Please also check ongoing floating volatility patterns of KGHM Polska and Logintrade.
Diversification Opportunities for KGHM Polska and Logintrade
-0.64 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between KGHM and Logintrade is -0.64. Overlapping area represents the amount of risk that can be diversified away by holding KGHM Polska Miedz and Logintrade SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Logintrade SA and KGHM Polska 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 KGHM Polska Miedz are associated (or correlated) with Logintrade. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Logintrade SA has no effect on the direction of KGHM Polska i.e., KGHM Polska and Logintrade go up and down completely randomly.
Pair Corralation between KGHM Polska and Logintrade
Assuming the 90 days trading horizon KGHM Polska Miedz is expected to under-perform the Logintrade. But the stock apears to be less risky and, when comparing its historical volatility, KGHM Polska Miedz is 1.69 times less risky than Logintrade. The stock trades about -0.01 of its potential returns per unit of risk. The Logintrade SA is currently generating about 0.21 of returns per unit of risk over similar time horizon. If you would invest 268.00 in Logintrade SA on September 5, 2024 and sell it today you would earn a total of 80.00 from holding Logintrade SA or generate 29.85% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 55.56% |
Values | Daily Returns |
KGHM Polska Miedz vs. Logintrade SA
Performance |
Timeline |
KGHM Polska Miedz |
Logintrade SA |
KGHM Polska and Logintrade Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KGHM Polska and Logintrade
The main advantage of trading using opposite KGHM Polska and Logintrade positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KGHM Polska position performs unexpectedly, Logintrade 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 Logintrade will offset losses from the drop in Logintrade's long position.KGHM Polska vs. Asseco South Eastern | KGHM Polska vs. Vercom SA | KGHM Polska vs. CFI Holding SA | KGHM Polska vs. Gobarto SA |
Logintrade vs. Banco Santander SA | Logintrade vs. UniCredit SpA | Logintrade vs. CEZ as | Logintrade 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 Portfolio Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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