Roger Mueller - Commerzbank Insider
Stakeholder Roger Mueller is not found or was disassociated from the entity Commerzbank AG
If you believe Roger Mueller is a valid insider of Commerzbank AG please let us know and we will check it out.
Other Suggestions
C | Citigroup | Company |
C-PN | Citigroup Capital XIII | Company |
CAF | Morgan Stanley China | Fund |
CA | Xtrackers California Municipal | ETF |
CPQ | ISE Cloud Computing | Index |
CV | CV | Cryptocurrency |
C4R803AH9 | HBMCN 45 01 APR 26 | Corporate Bond |
CTUSX | Cotton | Commodity |
Pair Trading with Commerzbank
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Commerzbank position performs unexpectedly, the other equity 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 Commerzbank will appreciate offsetting losses from the drop in the long position's value.Moving together with Commerzbank Pink Sheet
0.72 | CIHKY | China Merchants Bank | PairCorr |
0.83 | HDB | HDFC Bank Limited Financial Report 15th of July 2024 | PairCorr |
0.74 | CIHHF | China Merchants Bank | PairCorr |
Moving against Commerzbank Pink Sheet
0.52 | GFGY | Granite Falls Energy | PairCorr |
0.5 | FINN | First National | PairCorr |
0.44 | FITBP | Fifth Third Bancorp | PairCorr |
0.42 | USB-PH | US Bancorp | PairCorr |
The ability to find closely correlated positions to Commerzbank could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Commerzbank 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 Commerzbank - 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 Commerzbank AG to buy it.
The correlation of Commerzbank 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 Commerzbank moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Commerzbank AG 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.
Correlation analysis and pair trading evaluation for Commerzbank can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Commerzbank AG. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in bureau of labor statistics. Note that the Commerzbank AG information on this page should be used as a complementary analysis to other Commerzbank'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 Portfolio Volatility module to check portfolio volatility and analyze historical return density to properly model market risk.
Complementary Tools for Commerzbank Pink Sheet analysis
When running Commerzbank's price analysis, check to measure Commerzbank's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Commerzbank is operating at the current time. Most of Commerzbank's value examination focuses on studying past and present price action to predict the probability of Commerzbank's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Commerzbank's price. Additionally, you may evaluate how the addition of Commerzbank to your portfolios can decrease your overall portfolio volatility.
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Cryptocurrency Center Build and monitor diversified portfolio of extremely risky digital assets and cryptocurrency | |
Idea Analyzer Analyze all characteristics, volatility and risk-adjusted return of Macroaxis ideas | |
Portfolio Rebalancing Analyze risk-adjusted returns against different time horizons to find asset-allocation targets | |
Idea Breakdown Analyze constituents of all Macroaxis ideas. Macroaxis investment ideas are predefined, sector-focused investing themes | |
Efficient Frontier Plot and analyze your portfolio and positions against risk-return landscape of the market. | |
Fundamentals Comparison Compare fundamentals across multiple equities to find investing opportunities | |
Equity Search Search for actively traded equities including funds and ETFs from over 30 global markets | |
Performance Analysis Check effects of mean-variance optimization against your current asset allocation | |
Price Transformation Use Price Transformation models to analyze the depth of different equity instruments across global markets | |
Companies Directory Evaluate performance of over 100,000 Stocks, Funds, and ETFs against different fundamentals | |
Portfolio Comparator Compare the composition, asset allocations and performance of any two portfolios in your account | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm |