Correlation Between Expat Poland and Expat Romania
Can any of the company-specific risk be diversified away by investing in both Expat Poland and Expat Romania 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 Expat Poland and Expat Romania into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Expat Poland WIG20 and Expat Romania BET, you can compare the effects of market volatilities on Expat Poland and Expat Romania 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 Expat Poland with a short position of Expat Romania. Check out your portfolio center. Please also check ongoing floating volatility patterns of Expat Poland and Expat Romania.
Diversification Opportunities for Expat Poland and Expat Romania
0.48 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Expat and Expat is 0.48. Overlapping area represents the amount of risk that can be diversified away by holding Expat Poland WIG20 and Expat Romania BET in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Expat Romania BET and Expat Poland 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 Expat Poland WIG20 are associated (or correlated) with Expat Romania. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Expat Romania BET has no effect on the direction of Expat Poland i.e., Expat Poland and Expat Romania go up and down completely randomly.
Pair Corralation between Expat Poland and Expat Romania
Assuming the 90 days horizon Expat Poland WIG20 is expected to generate 2.46 times more return on investment than Expat Romania. However, Expat Poland is 2.46 times more volatile than Expat Romania BET. It trades about 0.02 of its potential returns per unit of risk. Expat Romania BET is currently generating about -0.07 per unit of risk. If you would invest 62.00 in Expat Poland WIG20 on September 12, 2024 and sell it today you would earn a total of 0.00 from holding Expat Poland WIG20 or generate 0.0% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Expat Poland WIG20 vs. Expat Romania BET
Performance |
Timeline |
Expat Poland WIG20 |
Expat Romania BET |
Expat Poland and Expat Romania Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Expat Poland and Expat Romania
The main advantage of trading using opposite Expat Poland and Expat Romania positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Expat Poland position performs unexpectedly, Expat Romania 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 Expat Romania will offset losses from the drop in Expat Romania's long position.Expat Poland vs. Expat Czech PX | Expat Poland vs. Expat Croatia Crobex | Expat Poland vs. Expat Serbia Belex15 | Expat Poland vs. Expat Slovenia SBI |
Expat Romania vs. Expat Czech PX | Expat Romania vs. Expat Croatia Crobex | Expat Romania vs. Expat Serbia Belex15 | Expat Romania vs. Expat Poland WIG20 |
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 Backtesting module to avoid under-diversification and over-optimization by backtesting your portfolios.
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