Correlation Between Proact IT and NOTE AB
Can any of the company-specific risk be diversified away by investing in both Proact IT and NOTE AB 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 Proact IT and NOTE AB into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Proact IT Group and NOTE AB, you can compare the effects of market volatilities on Proact IT and NOTE AB 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 Proact IT with a short position of NOTE AB. Check out your portfolio center. Please also check ongoing floating volatility patterns of Proact IT and NOTE AB.
Diversification Opportunities for Proact IT and NOTE AB
Average diversification
The 3 months correlation between Proact and NOTE is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding Proact IT Group and NOTE AB in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on NOTE AB and Proact IT 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 Proact IT Group are associated (or correlated) with NOTE AB. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of NOTE AB has no effect on the direction of Proact IT i.e., Proact IT and NOTE AB go up and down completely randomly.
Pair Corralation between Proact IT and NOTE AB
Assuming the 90 days trading horizon Proact IT is expected to generate 3.55 times less return on investment than NOTE AB. But when comparing it to its historical volatility, Proact IT Group is 1.1 times less risky than NOTE AB. It trades about 0.05 of its potential returns per unit of risk. NOTE AB is currently generating about 0.17 of returns per unit of risk over similar time horizon. If you would invest 14,950 in NOTE AB on December 24, 2024 and sell it today you would earn a total of 2,750 from holding NOTE AB or generate 18.39% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
Proact IT Group vs. NOTE AB
Performance |
Timeline |
Proact IT Group |
NOTE AB |
Proact IT and NOTE AB Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Proact IT and NOTE AB
The main advantage of trading using opposite Proact IT and NOTE AB positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Proact IT position performs unexpectedly, NOTE AB 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 NOTE AB will offset losses from the drop in NOTE AB's long position.The idea behind Proact IT Group and NOTE AB 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.NOTE AB vs. Scout Gaming Group | NOTE AB vs. Media and Games | NOTE AB vs. Sdiptech AB | NOTE AB vs. Active Biotech AB |
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 Equity Forecasting module to use basic forecasting models to generate price predictions and determine price momentum.
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