Correlation Between Bank Millennium and Varsav Game
Can any of the company-specific risk be diversified away by investing in both Bank Millennium and Varsav Game 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 Bank Millennium and Varsav Game into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Bank Millennium SA and Varsav Game Studios, you can compare the effects of market volatilities on Bank Millennium and Varsav Game 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 Bank Millennium with a short position of Varsav Game. Check out your portfolio center. Please also check ongoing floating volatility patterns of Bank Millennium and Varsav Game.
Diversification Opportunities for Bank Millennium and Varsav Game
-0.35 | Correlation Coefficient |
Very good diversification
The 3 months correlation between Bank and Varsav is -0.35. Overlapping area represents the amount of risk that can be diversified away by holding Bank Millennium SA and Varsav Game Studios in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Varsav Game Studios and Bank Millennium 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 Bank Millennium SA are associated (or correlated) with Varsav Game. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Varsav Game Studios has no effect on the direction of Bank Millennium i.e., Bank Millennium and Varsav Game go up and down completely randomly.
Pair Corralation between Bank Millennium and Varsav Game
Assuming the 90 days trading horizon Bank Millennium SA is expected to generate 0.49 times more return on investment than Varsav Game. However, Bank Millennium SA is 2.03 times less risky than Varsav Game. It trades about 0.03 of its potential returns per unit of risk. Varsav Game Studios is currently generating about -0.02 per unit of risk. If you would invest 807.00 in Bank Millennium SA on October 3, 2024 and sell it today you would earn a total of 83.00 from holding Bank Millennium SA or generate 10.29% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Insignificant |
Accuracy | 94.32% |
Values | Daily Returns |
Bank Millennium SA vs. Varsav Game Studios
Performance |
Timeline |
Bank Millennium SA |
Varsav Game Studios |
Bank Millennium and Varsav Game Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Bank Millennium and Varsav Game
The main advantage of trading using opposite Bank Millennium and Varsav Game positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Bank Millennium position performs unexpectedly, Varsav Game 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 Varsav Game will offset losses from the drop in Varsav Game's long position.Bank Millennium vs. UniCredit SpA | Bank Millennium vs. Santander Bank Polska | Bank Millennium vs. Bank Polska Kasa | Bank Millennium vs. ING Bank lski |
Varsav Game vs. Banco Santander SA | Varsav Game vs. UniCredit SpA | Varsav Game vs. CEZ as | Varsav Game 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 Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
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