Correlation Between Igoria Trade and Bank Millennium
Can any of the company-specific risk be diversified away by investing in both Igoria Trade and Bank Millennium 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 Igoria Trade and Bank Millennium into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Igoria Trade SA and Bank Millennium SA, you can compare the effects of market volatilities on Igoria Trade and Bank Millennium 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 Igoria Trade with a short position of Bank Millennium. Check out your portfolio center. Please also check ongoing floating volatility patterns of Igoria Trade and Bank Millennium.
Diversification Opportunities for Igoria Trade and Bank Millennium
-0.7 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Igoria and Bank is -0.7. Overlapping area represents the amount of risk that can be diversified away by holding Igoria Trade SA and Bank Millennium SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Millennium SA and Igoria Trade 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 Igoria Trade SA are associated (or correlated) with Bank Millennium. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Millennium SA has no effect on the direction of Igoria Trade i.e., Igoria Trade and Bank Millennium go up and down completely randomly.
Pair Corralation between Igoria Trade and Bank Millennium
Assuming the 90 days trading horizon Igoria Trade SA is expected to under-perform the Bank Millennium. In addition to that, Igoria Trade is 1.9 times more volatile than Bank Millennium SA. It trades about -0.05 of its total potential returns per unit of risk. Bank Millennium SA is currently generating about 0.36 per unit of volatility. If you would invest 890.00 in Bank Millennium SA on December 29, 2024 and sell it today you would earn a total of 579.00 from holding Bank Millennium SA or generate 65.06% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Igoria Trade SA vs. Bank Millennium SA
Performance |
Timeline |
Igoria Trade SA |
Bank Millennium SA |
Igoria Trade and Bank Millennium Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Igoria Trade and Bank Millennium
The main advantage of trading using opposite Igoria Trade and Bank Millennium positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Igoria Trade position performs unexpectedly, Bank Millennium 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 Bank Millennium will offset losses from the drop in Bank Millennium's long position.Igoria Trade vs. Asseco Business Solutions | Igoria Trade vs. Kogeneracja SA | Igoria Trade vs. Asseco South Eastern | Igoria Trade vs. Vercom SA |
Bank Millennium vs. UniCredit SpA | Bank Millennium vs. Bank Polska Kasa | Bank Millennium vs. ING Bank lski | Bank Millennium vs. mBank SA |
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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