Bankinvest Europa Correlations

The correlation of Bankinvest Europa 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 correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
  
The ability to find closely correlated positions to Bankinvest Europa could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Bankinvest Europa 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 Bankinvest Europa - 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 Bankinvest Europa to buy it.

Related Correlations Analysis

Click cells to compare fundamentals   Check Volatility   Backtest Portfolio

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   
BAKO30KLBAKPEQ
BAKO10KLBAKPEQ
BAIDKAAKABAKPEQ
BAIVOHYABAKPEQ
BAIESCABAKPEQ
BAIVOIGEABAKPEQ
  
High negative correlations   
BAKO30AKLBAKO55KL
BAKO30AKLBAIVOIGEA
BAKO55KLBAIVOIGEA
BAKO30AKLBAIESCA
BAKO55KLBAIESCA
BAIVOIGEABAIESCA

Risk-Adjusted Indicators

There is a big difference between Bankinvest Fund performing well and Bankinvest Europa Fund 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 Bankinvest Europa'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
BAKPEQ  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
BAKO30KL  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
BAKO10KL  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
BAIDKAAKA  0.72 (0.01)(0.15)(0.08) 0.80 
 1.50 
 3.69 
BAIVOHYA  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
BAIESCA  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
BAIVOIGEA  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
BAKO55KL  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 
BAKO30AKL  0.00  0.00  0.00  0.00  0.00 
 0.00 
 0.00 

Bankinvest Europa 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 Bankinvest Europa fund to make a market-neutral strategy. Peer analysis of Bankinvest Europa could also be used in its relative valuation, which is a method of valuing Bankinvest Europa by comparing valuation metrics with similar companies.
 Risk & Return  Correlation

Still Interested in Bankinvest Europa?

Investing in delisted delisted funds can be risky, as the fund is no longer traded on a public exchange and can therefore be difficult to sell. Delisting typically occurs when a company has failed to meet exchange requirements or has been acquired. Before investing, it's important to thoroughly research the company, including its financial health and prospects for the future, as well as the reasons for its delisting. Additionally, it may be difficult to find accurate and up-to-date information on the company and its stock.