Correlation Between PTC and ANSYS
Can any of the company-specific risk be diversified away by investing in both PTC and ANSYS 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 PTC and ANSYS into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between PTC Inc and ANSYS Inc, you can compare the effects of market volatilities on PTC and ANSYS 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 PTC with a short position of ANSYS. Check out your portfolio center. Please also check ongoing floating volatility patterns of PTC and ANSYS.
Diversification Opportunities for PTC and ANSYS
Very poor diversification
The 3 months correlation between PTC and ANSYS is 0.82. Overlapping area represents the amount of risk that can be diversified away by holding PTC Inc and ANSYS Inc in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on ANSYS Inc and PTC 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 PTC Inc are associated (or correlated) with ANSYS. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of ANSYS Inc has no effect on the direction of PTC i.e., PTC and ANSYS go up and down completely randomly.
Pair Corralation between PTC and ANSYS
Considering the 90-day investment horizon PTC Inc is expected to generate 0.75 times more return on investment than ANSYS. However, PTC Inc is 1.34 times less risky than ANSYS. It trades about 0.06 of its potential returns per unit of risk. ANSYS Inc is currently generating about 0.04 per unit of risk. If you would invest 13,109 in PTC Inc on October 3, 2024 and sell it today you would earn a total of 5,278 from holding PTC Inc or generate 40.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Strong |
Accuracy | 99.8% |
Values | Daily Returns |
PTC Inc vs. ANSYS Inc
Performance |
Timeline |
PTC Inc |
ANSYS Inc |
PTC and ANSYS Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with PTC and ANSYS
The main advantage of trading using opposite PTC and ANSYS positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if PTC position performs unexpectedly, ANSYS 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 ANSYS will offset losses from the drop in ANSYS's long position.PTC vs. Rumble Inc | PTC vs. Aquagold International | PTC vs. Morningstar Unconstrained Allocation | PTC vs. Thrivent High Yield |
ANSYS vs. Rumble Inc | ANSYS vs. Aquagold International | ANSYS vs. Morningstar Unconstrained Allocation | ANSYS vs. Thrivent High Yield |
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 ETFs module to find actively traded Exchange Traded Funds (ETF) from around the world.
Other Complementary Tools
Equity Analysis Research over 250,000 global equities including funds, stocks and ETFs to find investment opportunities | |
Transaction History View history of all your transactions and understand their impact on performance | |
Portfolio Manager State of the art Portfolio Manager to monitor and improve performance of your invested capital | |
FinTech Suite Use AI to screen and filter profitable investment opportunities | |
Analyst Advice Analyst recommendations and target price estimates broken down by several categories |