Migdal Mutual Correlations

MTF-F36 Etf   4,418  56.00  1.25%   
The correlation of Migdal Mutual is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Migdal Mutual moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Migdal Mutual Funds moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.

Significant diversification

The correlation between Migdal Mutual Funds and NYA is 0.09 (i.e., Significant diversification) for selected investment horizon. Overlapping area represents the amount of risk that can be diversified away by holding Migdal Mutual Funds and NYA in the same portfolio, assuming nothing else is changed.
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in census.
  
The ability to find closely correlated positions to Migdal Mutual could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Migdal Mutual when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Migdal Mutual - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Migdal Mutual Funds to buy it.

Related Correlations Analysis

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Correlation Matchups

Over a given time period, the two securities move together when the Correlation Coefficient is positive. Conversely, the two assets move in opposite directions when the Correlation Coefficient is negative. Determining your positions' relationship to each other is valuable for analyzing and projecting your portfolio's future expected return and risk.
High positive correlations   
CRMUBER
JPMT
UBERMETA
CRMMETA
AMSFT
XOMMRK
  
High negative correlations   
MRKUBER
XOMUBER
JPMUBER
MRKMETA
XOMCRM
TUBER

Migdal Mutual Competition Risk-Adjusted Indicators

There is a big difference between Migdal Etf performing well and Migdal Mutual ETF doing well as a business compared to the competition. There are so many exceptions to the norm that investors cannot definitively determine what's good or bad unless they analyze Migdal Mutual's multiple risk-adjusted performance indicators across the competitive landscape. These indicators are quantitative in nature and help investors forecast volatility and risk-adjusted expected returns across various positions.
Mean DeviationJensen AlphaSortino RatioTreynor RatioSemi DeviationExpected ShortfallPotential UpsideValue @RiskMaximum Drawdown
META  1.50 (0.08) 0.00 (0.04) 0.00 
 3.04 
 13.90 
MSFT  0.98  0.00  0.00  0.03  1.33 
 1.83 
 6.04 
UBER  1.47 (0.32) 0.00 (0.24) 0.00 
 2.46 
 9.02 
F  1.40 (0.06)(0.01) 0.00  1.92 
 3.06 
 10.93 
T  0.79  0.11  0.10  0.23  0.75 
 2.18 
 4.04 
A  1.32 (0.11) 0.00 (0.05) 0.00 
 2.38 
 13.61 
CRM  1.58 (0.38) 0.00 (0.23) 0.00 
 2.64 
 23.62 
JPM  0.91  0.10  0.07  0.11  1.50 
 1.94 
 8.41 
MRK  0.70 (0.05) 0.00 (0.04) 0.00 
 2.20 
 7.59 
XOM  0.81  0.16  0.14  0.29  0.83 
 1.77 
 4.73 

Migdal Mutual Related Equities

One of the popular trading techniques among algorithmic traders is to use market-neutral strategies where every trade hedges away some risk. Because there are two separate transactions required, even if one position performs unexpectedly, the other equity can make up some of the losses. Below are some of the equities that can be combined with Migdal Mutual etf to make a market-neutral strategy. Peer analysis of Migdal Mutual could also be used in its relative valuation, which is a method of valuing Migdal Mutual by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Already Invested in Migdal Mutual Funds?

The danger of trading Migdal Mutual Funds is mainly related to its market volatility and ETF specific events. As an investor, you must understand the concept of risk-adjusted return before you start trading. The most common way to measure the risk of Migdal Mutual is by using the Sharpe ratio. The ratio expresses how much excess return you acquire for the extra volatility you endure for holding a more risker asset than Migdal Mutual. The Sharpe ratio is calculated by using standard deviation and excess return to determine reward per unit of risk. To understand how volatile Migdal Mutual Funds is, you must compare it to a benchmark. Traditionally, the risk-free rate of return is the rate of return on the shortest-dated U.S. Treasury, such as a 3-year bond.
Check out Correlation Analysis to better understand how to build diversified portfolios. Also, note that the market value of any etf could be tightly coupled with the direction of predictive economic indicators such as signals in census.
Note that the Migdal Mutual Funds information on this page should be used as a complementary analysis to other Migdal Mutual's statistical models used 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 Global Markets Map module to get a quick overview of global market snapshot using zoomable world map. Drill down to check world indexes.