Bryan Kennedy - Alliance Data Executive Vice President and President, Epsilon

President

Mr. Bryan J. Kennedy is Executive Vice President and President, Epsilon of Alliance Data Systems Corporationrationration. Mr. Kennedy has served as president of Epsilon since January 2009 and of Conversant since December 2014. Prior to that, he served as chief operating officer for Epsilon since October 2001 along with various senior management and executive positions within Epsilon. Mr. Kennedy held senior management positions with Capstead Mortgage Corporation from June 1990 to August 1994 since 2009.
Age 49
Tenure 15 years
Professional MarksMBA
Phone614-729-4000
Webhttps://www.alliancedata.com
Kennedy holds a Bachelor degree from Wheaton College and an MBA from Harvard Business School.

Alliance Data Management Efficiency

The company has Return on Asset of 3.83 % which means that on every $100 spent on assets, it made $3.83 of profit. This is considered to be average in the sector. In the same way, it shows a return on shareholders' equity (ROE) of 49.14 %, implying that it generated $49.14 on every 100 dollars invested. Alliance Data's management efficiency ratios could be used to measure how well Alliance Data manages its routine affairs as well as how well it operates its assets and liabilities.
The company has 17.48 B in debt with debt to equity (D/E) ratio of 7.78, demonstrating that the company may be unable to create cash to meet all of its financial commitments. Alliance Data Systems has a current ratio of 1.47, which is typical for the industry and considered as normal. Debt can assist Alliance Data until it has trouble settling it off, either with new capital or with free cash flow. So, Alliance Data's shareholders could walk away with nothing if the company can't fulfill its legal obligations to repay debt. However, a more frequent occurrence is when companies like Alliance Data Systems sell additional shares at bargain prices, diluting existing shareholders. Debt, in this case, can be an excellent and much better tool for Alliance to invest in growth at high rates of return. When we think about Alliance Data's use of debt, we should always consider it together with cash and equity.

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Alliance Data Systems Corporation provides data-driven marketing, loyalty, and payment solutions in the United States, Canada, Europe, the Middle East, Africa, the Asia Pacific, and internationally. Alliance Data Systems Corporation was founded in 1996 and is headquartered in Columbus, Ohio. Alliance Data operates under Credit Services classification in the United States and is traded on New York Stock Exchange. It employs 8000 people. Alliance Data Systems (ADS) is traded on New York Stock Exchange in USA and employs 8,000 people.

Management Performance

Alliance Data Systems Leadership Team

Elected by the shareholders, the Alliance Data's board of directors comprises two types of representatives: Alliance Data inside directors who are chosen from within the company, and outside directors, selected externally and held independent of Alliance. The board's role is to monitor Alliance Data's management team and ensure that shareholders' interests are well served. Alliance Data's inside directors are responsible for reviewing and approving budgets prepared by upper management to implement core corporate initiatives and projects. On the other hand, Alliance Data's outside directors are responsible for providing unbiased perspectives on the board's policies.
Kelly Barlow, Independent Director
Julie Prozeller, IR Officer
Rajesh Natarajan, Independent Director
Sharen Turney, Independent Director
Ralph Andretta, President, Chief Executive Officer, Director
Leigh Epperson, Senior Vice President General Counsel, Secretary
Timothy King, Chief Financial Officer, Executive Vice President
Robert Minicucci, Independent Non-Executive Chairman of the Board
Bryan Pearson, Executive VP and President of Loyaltyone
Laurie Tucker, Independent Director
Linn Draper, Independent Director
John Chesnut, Senior Vice President Treasurer
Edward Heffernan, CEO and President Director and Member of Executive Committee
Keith Cobb, Independent Director
Kenneth Jensen, Independent Director
Timothy Theriault, Independent Director
Laura Santillan, Senior Vice President, Chief Accounting Officer
Tammy McConnaughey, Executive Vice President Operations and Credit Risk, Card Services
John Gerspach, Independent Director
Perry Beberman, Chief Financial Officer, Vice President
Charles Horn, Executive Vice President, Senior Advisor
Bruce Anderson, Independent Director
Melisa Miller, Executive VP and President of Retail Credit Services
J Campbell, Senior Vice President Chief Accounting Officer
Joseph Motes, Executive Vice President, Chief Administrative Officer, General Counsel, Secretary
Tiffany Louder, IR Contact Officer
Roger Ballou, Non-Executive Independent Chairman of the Board
Bryan Kennedy, Executive Vice President and President, Epsilon
Valerie Greer, Executive Vice President Chief Commercial Officer, Card Services

Alliance Stock Performance Indicators

The ability to make a profit is the ultimate goal of any investor. But to identify the right stock is not an easy task. Is Alliance Data a good investment? Although profit is still the single most important financial element of any organization, multiple performance indicators can help investors identify the equity that they will appreciate over time.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Alliance Data in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Alliance Data's short interest history, or implied volatility extrapolated from Alliance Data options trading.

Pair Trading with Alliance Data

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 Alliance Data 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 Alliance Data will appreciate offsetting losses from the drop in the long position's value.
The ability to find closely correlated positions to Automatic Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Automatic Data 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 Automatic Data - 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 Automatic Data Processing to buy it.
The correlation of Automatic Data 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 Automatic Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Automatic Data Processing 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 Automatic Data 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.
Pair CorrelationCorrelation Matching
Check out Trending Equities to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in unemployment.
Note that the Alliance Data Systems information on this page should be used as a complementary analysis to other Alliance Data'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 Sectors module to list of equity sectors categorizing publicly traded companies based on their primary business activities.

Other Consideration for investing in Alliance Stock

If you are still planning to invest in Alliance Data Systems check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Alliance Data's history and understand the potential risks before investing.
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