Correlation Between USU Software and Magic Software
Can any of the company-specific risk be diversified away by investing in both USU Software and Magic Software 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 USU Software and Magic Software into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between USU Software AG and Magic Software Enterprises, you can compare the effects of market volatilities on USU Software and Magic Software 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 USU Software with a short position of Magic Software. Check out your portfolio center. Please also check ongoing floating volatility patterns of USU Software and Magic Software.
Diversification Opportunities for USU Software and Magic Software
0.1 | Correlation Coefficient |
Average diversification
The 3 months correlation between USU and Magic is 0.1. Overlapping area represents the amount of risk that can be diversified away by holding USU Software AG and Magic Software Enterprises in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Magic Software Enter and USU Software 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 USU Software AG are associated (or correlated) with Magic Software. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Magic Software Enter has no effect on the direction of USU Software i.e., USU Software and Magic Software go up and down completely randomly.
Pair Corralation between USU Software and Magic Software
Assuming the 90 days trading horizon USU Software AG is expected to under-perform the Magic Software. But the stock apears to be less risky and, when comparing its historical volatility, USU Software AG is 2.59 times less risky than Magic Software. The stock trades about -0.13 of its potential returns per unit of risk. The Magic Software Enterprises is currently generating about 0.14 of returns per unit of risk over similar time horizon. If you would invest 989.00 in Magic Software Enterprises on October 7, 2024 and sell it today you would earn a total of 141.00 from holding Magic Software Enterprises or generate 14.26% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Insignificant |
Accuracy | 100.0% |
Values | Daily Returns |
USU Software AG vs. Magic Software Enterprises
Performance |
Timeline |
USU Software AG |
Magic Software Enter |
USU Software and Magic Software Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with USU Software and Magic Software
The main advantage of trading using opposite USU Software and Magic Software positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if USU Software position performs unexpectedly, Magic Software 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 Magic Software will offset losses from the drop in Magic Software's long position.USU Software vs. United Breweries Co | USU Software vs. Major Drilling Group | USU Software vs. PRECISION DRILLING P | USU Software vs. PICKN PAY STORES |
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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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