Correlation Between Dan Hotels and Magic Software
Can any of the company-specific risk be diversified away by investing in both Dan Hotels 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 Dan Hotels and Magic Software into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Dan Hotels and Magic Software Enterprises, you can compare the effects of market volatilities on Dan Hotels 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 Dan Hotels with a short position of Magic Software. Check out your portfolio center. Please also check ongoing floating volatility patterns of Dan Hotels and Magic Software.
Diversification Opportunities for Dan Hotels and Magic Software
0.46 | Correlation Coefficient |
Very weak diversification
The 3 months correlation between Dan and Magic is 0.46. Overlapping area represents the amount of risk that can be diversified away by holding Dan Hotels 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 Dan Hotels 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 Dan Hotels 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 Dan Hotels i.e., Dan Hotels and Magic Software go up and down completely randomly.
Pair Corralation between Dan Hotels and Magic Software
Assuming the 90 days trading horizon Dan Hotels is expected to under-perform the Magic Software. In addition to that, Dan Hotels is 1.02 times more volatile than Magic Software Enterprises. It trades about -0.01 of its total potential returns per unit of risk. Magic Software Enterprises is currently generating about -0.01 per unit of volatility. If you would invest 455,900 in Magic Software Enterprises on November 28, 2024 and sell it today you would lose (1,900) from holding Magic Software Enterprises or give up 0.42% of portfolio value over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Together |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Dan Hotels vs. Magic Software Enterprises
Performance |
Timeline |
Dan Hotels |
Magic Software Enter |
Dan Hotels and Magic Software Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Dan Hotels and Magic Software
The main advantage of trading using opposite Dan Hotels and Magic Software positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Dan Hotels 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.Dan Hotels vs. Ram On Investments and | Dan Hotels vs. Feat Fund Investments | Dan Hotels vs. Shagrir Group Vehicle | Dan Hotels vs. IDI Insurance |
Magic Software vs. Sapiens International | Magic Software vs. AudioCodes | Magic Software vs. Matrix | Magic Software vs. Tower Semiconductor |
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 Rebalancing module to analyze risk-adjusted returns against different time horizons to find asset-allocation targets.
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