Correlation Between ANSYS and Bank Ozk
Can any of the company-specific risk be diversified away by investing in both ANSYS and Bank Ozk 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 ANSYS and Bank Ozk into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between ANSYS Inc and Bank Ozk, you can compare the effects of market volatilities on ANSYS and Bank Ozk 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 ANSYS with a short position of Bank Ozk. Check out your portfolio center. Please also check ongoing floating volatility patterns of ANSYS and Bank Ozk.
Diversification Opportunities for ANSYS and Bank Ozk
Poor diversification
The 3 months correlation between ANSYS and Bank is 0.72. Overlapping area represents the amount of risk that can be diversified away by holding ANSYS Inc and Bank Ozk in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Bank Ozk and ANSYS 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 ANSYS Inc are associated (or correlated) with Bank Ozk. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Bank Ozk has no effect on the direction of ANSYS i.e., ANSYS and Bank Ozk go up and down completely randomly.
Pair Corralation between ANSYS and Bank Ozk
Given the investment horizon of 90 days ANSYS is expected to generate 4.4 times less return on investment than Bank Ozk. But when comparing it to its historical volatility, ANSYS Inc is 1.99 times less risky than Bank Ozk. It trades about 0.14 of its potential returns per unit of risk. Bank Ozk is currently generating about 0.3 of returns per unit of risk over similar time horizon. If you would invest 4,354 in Bank Ozk on November 4, 2024 and sell it today you would earn a total of 733.00 from holding Bank Ozk or generate 16.84% return on investment over 90 days.
| Time Period | 3 Months [change] |
| Direction | Moves Together |
| Strength | Significant |
| Accuracy | 100.0% |
| Values | Daily Returns |
ANSYS Inc vs. Bank Ozk
Performance |
| Timeline |
| ANSYS Inc |
| Bank Ozk |
ANSYS and Bank Ozk Volatility Contrast
Predicted Return Density |
| Returns |
Pair Trading with ANSYS and Bank Ozk
The main advantage of trading using opposite ANSYS and Bank Ozk positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if ANSYS position performs unexpectedly, Bank Ozk 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 Ozk will offset losses from the drop in Bank Ozk's long position.The idea behind ANSYS Inc and Bank Ozk pairs trading is to make the combined position market-neutral, meaning the overall market's direction will not affect its win or loss (or potential downside or upside). This can be achieved by designing a pairs trade with two highly correlated stocks or equities that operate in a similar space or sector, making it possible to obtain profits through simple and relatively low-risk investment.| Bank Ozk vs. International Bancshares | Bank Ozk vs. Hilltop Holdings | Bank Ozk vs. FB Financial Corp | Bank Ozk vs. Red River Bancshares |
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 Efficient Frontier module to plot and analyze your portfolio and positions against risk-return landscape of the market..
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