Correlation Between KGHM Polska and CHINA EAST
Can any of the company-specific risk be diversified away by investing in both KGHM Polska and CHINA EAST 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 CHINA EAST 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 CHINA EAST ED, you can compare the effects of market volatilities on KGHM Polska and CHINA EAST 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 CHINA EAST. Check out your portfolio center. Please also check ongoing floating volatility patterns of KGHM Polska and CHINA EAST.
Diversification Opportunities for KGHM Polska and CHINA EAST
0.6 | Correlation Coefficient |
Poor diversification
The 3 months correlation between KGHM and CHINA is 0.6. Overlapping area represents the amount of risk that can be diversified away by holding KGHM Polska Miedz and CHINA EAST ED in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on CHINA EAST ED 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 CHINA EAST. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of CHINA EAST ED has no effect on the direction of KGHM Polska i.e., KGHM Polska and CHINA EAST go up and down completely randomly.
Pair Corralation between KGHM Polska and CHINA EAST
Assuming the 90 days trading horizon KGHM Polska is expected to generate 4.06 times less return on investment than CHINA EAST. But when comparing it to its historical volatility, KGHM Polska Miedz is 3.15 times less risky than CHINA EAST. It trades about 0.06 of its potential returns per unit of risk. CHINA EAST ED is currently generating about 0.08 of returns per unit of risk over similar time horizon. If you would invest 63.00 in CHINA EAST ED on April 23, 2025 and sell it today you would earn a total of 16.00 from holding CHINA EAST ED or generate 25.4% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Significant |
Accuracy | 100.0% |
Values | Daily Returns |
KGHM Polska Miedz vs. CHINA EAST ED
Performance |
Timeline |
KGHM Polska Miedz |
CHINA EAST ED |
KGHM Polska and CHINA EAST Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with KGHM Polska and CHINA EAST
The main advantage of trading using opposite KGHM Polska and CHINA EAST positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if KGHM Polska position performs unexpectedly, CHINA EAST 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 CHINA EAST will offset losses from the drop in CHINA EAST's long position.KGHM Polska vs. Tsingtao Brewery | KGHM Polska vs. United Breweries Co | KGHM Polska vs. STORE ELECTRONIC | KGHM Polska vs. STMICROELECTRONICS |
CHINA EAST vs. SOFI TECHNOLOGIES | CHINA EAST vs. Easy Software AG | CHINA EAST vs. GLG LIFE TECH | CHINA EAST vs. Firan Technology Group |
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.
Other Complementary Tools
Sectors List of equity sectors categorizing publicly traded companies based on their primary business activities | |
Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
Portfolio Analyzer Portfolio analysis module that provides access to portfolio diagnostics and optimization engine | |
Commodity Channel Use Commodity Channel Index to analyze current equity momentum | |
Competition Analyzer Analyze and compare many basic indicators for a group of related or unrelated entities |