Correlation Between Migdal Insurance and Matrix

Can any of the company-specific risk be diversified away by investing in both Migdal Insurance and Matrix 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 Migdal Insurance and Matrix into the same portfolio, which is an essential part of the fundamental portfolio management process.

By analyzing existing cross correlation between Migdal Insurance and Matrix, you can compare the effects of market volatilities on Migdal Insurance and Matrix 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 Migdal Insurance with a short position of Matrix. Check out your portfolio center. Please also check ongoing floating volatility patterns of Migdal Insurance and Matrix.

Diversification Opportunities for Migdal Insurance and Matrix

0.8

Correlation Coefficient

Migdal Insurance  Matrix

Very poor diversification

The 3 months correlation between Migdal and Matrix is 0.8. Overlapping area represents the amount of risk that can be diversified away by holding Migdal Insurance and Matrix in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Matrix and Migdal Insurance 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 Migdal Insurance are associated (or correlated) with Matrix. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Matrix has no effect on the direction of Migdal Insurance i.e., Migdal Insurance and Matrix go up and down completely randomly.

Pair Corralation between Migdal Insurance and Matrix

Assuming the 90 days trading horizon Migdal Insurance is expected to generate 1.0 times more return on investment than Matrix. However, Migdal Insurance is 1.0 times more volatile than Matrix. It trades about 0.44 of its potential returns per unit of risk. Matrix is currently generating about 0.22 per unit of risk. If you would invest  46,000  in Migdal Insurance on September 3, 2024 and sell it today you would earn a total of  18,690  from holding Migdal Insurance or generate 40.63% return on investment over 90 days.

Time Period	3 Months [change]
Direction	Moves Together
Strength	Strong
Accuracy	100.0%
Values	Daily Returns

Migdal Insurance  vs.  Matrix

Migdal Insurance

Risk-Adjusted Performance

34 of 100

Very Strong

Compared to the overall equity markets, risk-adjusted returns on investments in Migdal Insurance are ranked lower than 34 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Migdal Insurance sustained solid returns over the last few months and may actually be approaching a breakup point.

Matrix

Risk-Adjusted Performance

16 of 100

Good

Compared to the overall equity markets, risk-adjusted returns on investments in Matrix are ranked lower than 16 (%) of all global equities and portfolios over the last 90 days. Despite somewhat weak basic indicators, Matrix sustained solid returns over the last few months and may actually be approaching a breakup point.

Pair Trading with Migdal Insurance and Matrix

The main advantage of trading using opposite Migdal Insurance and Matrix positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Migdal Insurance position performs unexpectedly, Matrix 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 Matrix will offset losses from the drop in Matrix's long position.

The idea behind Migdal Insurance and Matrix 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.

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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 Top Crypto Exchanges module to search and analyze digital assets across top global cryptocurrency exchanges.