Correlation Between Altshuler Shaham and Silver Castle
Can any of the company-specific risk be diversified away by investing in both Altshuler Shaham and Silver Castle 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 Altshuler Shaham and Silver Castle into the same portfolio, which is an essential part of the fundamental portfolio management process.
By analyzing existing cross correlation between Altshuler Shaham Financial and Silver Castle Holdings, you can compare the effects of market volatilities on Altshuler Shaham and Silver Castle 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 Altshuler Shaham with a short position of Silver Castle. Check out your portfolio center. Please also check ongoing floating volatility patterns of Altshuler Shaham and Silver Castle.
Diversification Opportunities for Altshuler Shaham and Silver Castle
-0.6 | Correlation Coefficient |
Excellent diversification
The 3 months correlation between Altshuler and Silver is -0.6. Overlapping area represents the amount of risk that can be diversified away by holding Altshuler Shaham Financial and Silver Castle Holdings in the same portfolio, assuming nothing else is changed. The correlation between historical prices or returns on Silver Castle Holdings and Altshuler Shaham 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 Altshuler Shaham Financial are associated (or correlated) with Silver Castle. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when the price movement of Silver Castle Holdings has no effect on the direction of Altshuler Shaham i.e., Altshuler Shaham and Silver Castle go up and down completely randomly.
Pair Corralation between Altshuler Shaham and Silver Castle
Assuming the 90 days trading horizon Altshuler Shaham Financial is expected to generate 0.62 times more return on investment than Silver Castle. However, Altshuler Shaham Financial is 1.61 times less risky than Silver Castle. It trades about 0.22 of its potential returns per unit of risk. Silver Castle Holdings is currently generating about 0.01 per unit of risk. If you would invest 50,030 in Altshuler Shaham Financial on September 16, 2024 and sell it today you would earn a total of 12,560 from holding Altshuler Shaham Financial or generate 25.1% return on investment over 90 days.
Time Period | 3 Months [change] |
Direction | Moves Against |
Strength | Weak |
Accuracy | 100.0% |
Values | Daily Returns |
Altshuler Shaham Financial vs. Silver Castle Holdings
Performance |
Timeline |
Altshuler Shaham Fin |
Silver Castle Holdings |
Altshuler Shaham and Silver Castle Volatility Contrast
Predicted Return Density |
Returns |
Pair Trading with Altshuler Shaham and Silver Castle
The main advantage of trading using opposite Altshuler Shaham and Silver Castle positions is that it hedges away some unsystematic risk. Because of two separate transactions, even if Altshuler Shaham position performs unexpectedly, Silver Castle 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 Silver Castle will offset losses from the drop in Silver Castle's long position.Altshuler Shaham vs. MEITAV INVESTMENTS HOUSE | Altshuler Shaham vs. Skyline Investments | Altshuler Shaham vs. More Mutual Funds | Altshuler Shaham vs. GODM Investments |
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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 Price Ceiling Movement module to calculate and plot Price Ceiling Movement for different equity instruments.
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