Correlation Between ING Bank and Bank Ochrony
Can any of the company-specific risk be diversified away by investing in both ING Bank and Bank Ochrony 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 ING Bank and Bank Ochrony into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ING Bank lski and Bank Ochrony rodowiska, you can compare the effects of market volatilities on ING Bank and Bank Ochrony 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 ING Bank with a short position of Bank Ochrony. Check out your portfolio center. Please also check ongoing floating volatility patterns of ING Bank and Bank Ochrony.
Diversification Opportunities for ING Bank and Bank Ochrony
0.22 | Correlation Coefficient |
Modest diversification
The 3 months correlation between ING and Bank is 0.22. Overlapping area represents the amount of risk that can be diversified away by holding ING Bank lski and Bank Ochrony rodowiska in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Ochrony rodowiska and ING Bank 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 ING Bank lski are associated (or correlated) with Bank Ochrony. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Ochrony rodowiska has no effect on the direction of ING Bank i.e., ING Bank and Bank Ochrony go up and down completely randomly.
Pair Corralation between ING Bank and Bank Ochrony
Assuming the 90 days trading horizon ING Bank lski is expected to generate 1.07 times more return on investment than Bank Ochrony. However, ING Bank is 1.07 times more volatile than Bank Ochrony rodowiska. It trades about 0.08 of its potential returns per unit of risk. Bank Ochrony rodowiska is currently generating about -0.03 per unit of risk. If you would invest 30,249 in ING Bank lski on April 22, 2025 and sell it today you would earn a total of 2,001 from holding ING Bank lski or generate 6.62% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Very Weak |
Accuracy | 100.0% |
Values | Daily Returns |
ING Bank lski vs. Bank Ochrony rodowiska
Performance |
Timeline |
ING Bank lski |
Bank Ochrony rodowiska |
ING Bank and Bank Ochrony Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with ING Bank and Bank Ochrony
The main advantage of trading using opposite ING Bank and Bank Ochrony positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ING Bank position performs unexpectedly, Bank Ochrony 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 Ochrony will offset losses from the drop in Bank Ochrony's long position.ING Bank vs. PZ Cormay SA | ING Bank vs. BNP Paribas Bank | ING Bank vs. Centrum Finansowe Banku | ING Bank vs. Noble Financials SA |
Bank Ochrony vs. UniCredit SpA | Bank Ochrony vs. Santander Bank Polska | Bank Ochrony vs. Bank Polska Kasa | Bank Ochrony vs. ING Bank lski |
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 Anywhere module to track or share privately all of your investments from the convenience of any device.
Other Complementary Tools
Analyst Advice Analyst recommendations and target price estimates broken down by several categories | |
Positions Ratings Determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance | |
Money Managers Screen money managers from public funds and ETFs managed around the world | |
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Pattern Recognition Use different Pattern Recognition models to time the market across multiple global exchanges |