CIG PANNONIA (Germany) Top Insiders
0CKA Stock | EUR 0.96 0.03 3.23% |
CIG PANNONIA employs about 191 people. The company is managed by 16 executives with a total tenure of roughly 136 years, averaging almost 8.0 years of service per executive, having 11.94 employees per reported executive. Examination of CIG PANNONIA's management performance can provide insight into the company performance.
Miklos Barta CEO Deputy Chief Executive Officer, Chief Financial Officer, Director |
Gabriella Kadar CEO Chief Executive Officer, Director |
CIG |
CIG PANNONIA Workforce Comparison
CIG PANNONIA LIFE is number one stock in number of employees category among its peers. The total workforce of Insurance—Life industry is presently estimated at about 10,534. CIG PANNONIA claims roughly 191 in number of employees contributing just under 2% to equities under Insurance—Life industry.
The company has Profit Margin (PM) of 0.05 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. CIG PANNONIA LIFE Benchmark Summation
Operator |
The output start index for this execution was zero with a total number of output elements of sixty-one. CIG PANNONIA LIFE Price Series Summation is a cross summation of CIG PANNONIA price series and its benchmark/peer.
CIG PANNONIA Notable Stakeholders
A CIG PANNONIA stakeholder refers to an individual interested in an outcome of the business. Different stakeholders have different interests, and companies such as CIG PANNONIA often face trade-offs trying to please all of them. CIG PANNONIA's stakeholders can have a positive or negative influence on the entity's direction, and there are a lot of executives involved in getting CIG PANNONIA's stock to the level that pleases all shareholders. Keeping track of the stakeholders is a great way to stay on top of things affecting its ongoing price.
Miklos Barta | Deputy Chief Executive Officer, Chief Financial Officer, Director | Profile | |
Gabriella Kadar | Chief Executive Officer, Director | Profile | |
Gergely Horvath | Director | Profile | |
Istvan Papp | Member of the Supervisory Board | Profile | |
Katalin Halasz | Chief Medical Officer | Profile | |
Istvan Boros | Member of the Supervisory Board | Profile | |
Gyula Miko | Director | Profile | |
Imre Pinter | Compliance Officer | Profile | |
Maria Kiraly | Chairman of the Board | Profile | |
Antal Csevar | Chief Legal Advisor, Consumer and Data Protection Officer | Profile | |
Imrene Fekete | Member of the Supervisory Board | Profile | |
Jozsef Bayer | Chairman of the Supervisory Board | Profile | |
Pal Buzas | Chief Risk Officer | Profile | |
Tibor Edvi | Chief Actuary | Profile | |
Erika Marczi | Internal Auditor | Profile | |
Erzsebet Czako | Member of the Supervisory Board | Profile |
About CIG PANNONIA Management Performance
The success or failure of an entity such as CIG PANNONIA LIFE often depends on how effective the management is. CIG PANNONIA management team is responsible for propelling the future growth in the right direction and administering and controlling the business activities and accounting for the results. Ineffective management usually contributes to failure in the company's future performance for all stakeholders equally, but most importantly, for investors. So it is important to measure the effectiveness of CIG management before purchasing its stock. In many ways, it's all about finding the answer to one important question - Are they doing the right thing right now? How would we assess whether the CIG management is utilizing all available resources in the best possible way? Also, how well is the company doing relative to others in its sector and the market as a whole? The answer can be found by analyzing a few important fundamental indicators such as return on assets and return on equity.
CIG Pannnia letbiztost Nyrt., together with its subsidiaries, provides life and non-life insurance products in Hungary, Slovakia, Romania, Poland, Lithuania, Spain, and Italy. CIG Pannnia letbiztost Nyrt. was founded in 2007 and is based in Budapest, Hungary. CIG PANNONIA is traded on Frankfurt Stock Exchange in Germany.
CIG PANNONIA Workforce Analysis
Traditionally, organizations such as CIG PANNONIA use manpower efficiency calculations for various incentive schemes, employee appraisal, or as an initiative to improve the processes. However, it can also be used by investors to make long-term investment decisions. The trends in the profit per employee or revenue per employee are measured by net income or revenue divided by the current number of full-time employees over a given time interval. Because workforce needs differ across sectors, these ratios could be used to compare CIG PANNONIA within its industry.CIG PANNONIA Manpower Efficiency
Return on CIG PANNONIA Manpower
Revenue Per Employee | 0.0 | |
Revenue Per Executive | 0.0 |
Complementary Tools for CIG Stock analysis
When running CIG PANNONIA's price analysis, check to measure CIG PANNONIA'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 CIG PANNONIA is operating at the current time. Most of CIG PANNONIA's value examination focuses on studying past and present price action to predict the probability of CIG PANNONIA's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move CIG PANNONIA's price. Additionally, you may evaluate how the addition of CIG PANNONIA to your portfolios can decrease your overall portfolio volatility.
Risk-Return Analysis View associations between returns expected from investment and the risk you assume | |
Insider Screener Find insiders across different sectors to evaluate their impact on performance | |
Alpha Finder Use alpha and beta coefficients to find investment opportunities after accounting for the risk | |
Aroon Oscillator Analyze current equity momentum using Aroon Oscillator and other momentum ratios | |
Correlation Analysis Reduce portfolio risk simply by holding instruments which are not perfectly correlated | |
Portfolio Optimization Compute new portfolio that will generate highest expected return given your specified tolerance for risk | |
Watchlist Optimization Optimize watchlists to build efficient portfolios or rebalance existing positions based on the mean-variance optimization algorithm | |
Money Managers Screen money managers from public funds and ETFs managed around the world |