Correlation Between SOFTWARE MANSION and MW Trade
Can any of the company-specific risk be diversified away by investing in both SOFTWARE MANSION and MW Trade 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 SOFTWARE MANSION and MW Trade into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between SOFTWARE MANSION SPOLKA and MW Trade SA, you can compare the effects of market volatilities on SOFTWARE MANSION and MW Trade 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 SOFTWARE MANSION with a short position of MW Trade. Check out your portfolio center. Please also check ongoing floating volatility patterns of SOFTWARE MANSION and MW Trade.
Diversification Opportunities for SOFTWARE MANSION and MW Trade
0.49 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between SOFTWARE and MWT is 0.49. Overlapping area represents the amount of risk that can be diversified away by holding SOFTWARE MANSION SPOLKA and MW Trade SA in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on MW Trade SA and SOFTWARE MANSION 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 SOFTWARE MANSION SPOLKA are associated (or correlated) with MW Trade. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of MW Trade SA has no effect on the direction of SOFTWARE MANSION i.e., SOFTWARE MANSION and MW Trade go up and down completely randomly.
Pair Corralation between SOFTWARE MANSION and MW Trade
Assuming the 90 days trading horizon SOFTWARE MANSION SPOLKA is expected to generate 0.75 times more return on investment than MW Trade. However, SOFTWARE MANSION SPOLKA is 1.33 times less risky than MW Trade. It trades about -0.02 of its potential returns per unit of risk. MW Trade SA is currently generating about -0.2 per unit of risk. If you would invest 3,250 in SOFTWARE MANSION SPOLKA on September 10, 2024 and sell it today you would lose (130.00) from holding SOFTWARE MANSION SPOLKA or give up 4.0% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 93.65% |
Values | Daily Returns |
SOFTWARE MANSION SPOLKA vs. MW Trade SA
Performance |
Timeline |
SOFTWARE MANSION SPOLKA |
MW Trade SA |
SOFTWARE MANSION and MW Trade Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with SOFTWARE MANSION and MW Trade
The main advantage of trading using opposite SOFTWARE MANSION and MW Trade positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if SOFTWARE MANSION position performs unexpectedly, MW Trade 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 MW Trade will offset losses from the drop in MW Trade's long position.SOFTWARE MANSION vs. Enter Air SA | SOFTWARE MANSION vs. GreenX Metals | SOFTWARE MANSION vs. MCI Management SA | SOFTWARE MANSION vs. Road Studio SA |
MW Trade vs. Poznanska Korporacja Budowlana | MW Trade vs. Esotiq Henderson SA | MW Trade vs. Toya SA | MW Trade vs. Betacom SA |
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 Center module to all portfolio management and optimization tools to improve performance of your portfolios.
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