Ariston Advisors Ariston Advisors - ARISTON - CPR evaluates the investment methods used to create the Models from its partners. We only offer Models with proven track records, acceptable risk/reward characteristics which are created by reputable and professional organizations using institutional level research and analysis. Ariston Advisors - ARISTON - CPR evaluates the investment methods used to create the Models from its partners. We only offer Models with proven track records, acceptable risk/reward characteristics which are created by reputable and professional organizations using institutional level research and analysis.
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Ariston Avisors A Division of Consolidated Portfolio Review Corp is a registered investment advisory (RIA) firm and one of the divisions of  Diefendorf Capital Planning Associates, a family of financial service companies since 1875. Contact us at 800.521.0267   
Stock Model Portfolios

Click on a name below to learn more about the strategy and performance for each of the following avaliable Model portfolios:
Ariston AdvisorsAriston SelectNew ConstructsPortfolio123ValueEngine
All Style Portfolio
Relative Growth
Sales Growth Leaders
Favored Value Plays
Income Stocks
Relative Value
20 Most Attractive Large Cap GARP Top Ranked
Income Stocks
Value & Momentum
ValuEngine View

ValuEngine View

The ValuEngine View portfolio is constructed by integrating this model along with some basic rules for market capitalization and industry diversification. The portfolio has 15 stocks and is balanced once each month. Note that the newsletter is published in the middle of each calendar month. An equal amount of capital is allocated to each stock. The monthly returns are calculated from the closing prices on date of publication. The performance calculation does not include any transaction costs.

The ValuEngine View newsletter is the product of a sophisticated stock valuation model that was first developed by Yale Professor of Finance Zhiwu Chen and his coauthors. It utilizes a three factor approach: fundamental variables such as a company's trailing 12-month Earnings-Per-Share (EPS), the analyst consensus estimate of the company's future 12-month EPS, and the 30-year Treasury yield are all used to create a more accurate reflection of a company's fair value. A total of eleven additional firm specific variables are also used.

The newsletter is edited by Eric Stokes, a money manager and well-known authority on stocks and portfolio construction. He is the author of Market Neutral Investing (2004, Dearborn) and publisher of the highly regarded newsletter Market Neutral Strategy. Download a free sample of The ValuEngine View. Sign up for The ValuEngine View.

Disclaimer: Ariston Advisors is a division of Consolidated Portfolio Review Corp. a registered investment advisor operating under the jurisdiction of the U.S. Securities and Exchange Commission. This Web site is for informational purposes only and does not constitute a complete description of our investment services or performance. This Web site is in no way a solicitation of offer to sell securities or investment advisory services except, where applicable, in states where we are registered or where an exemption or exclusion from such registration exists. Information throughout this site, whether stock quotes, charts, articles, or any other statement or statements regarding market or other financial information, is obtained from sources which we and our suppliers believe reliable, but we do not warrant or guarantee the timeliness or accuracy of this information. Nothing in this Web site should be interpreted to state or imply that past results are an indication of future performance. Neither we nor our information providers shall be liable for any errors or inaccuracies, regardless of cause, or the lack of timeliness, or for any delay or interruption in the transmission thereof to the user. THERE ARE NO WARRANTIES EXPRESSED OR IMPLIED, AS TO ACCURACY, COMPLETENESS, OR RESULTS OBTAINED FROM ANY INFORMATION POSTED ON THIS OR ANY "LINKED WEB SITE."

Simulated and Current results are approximate and are not an indication of future performance. Future performance is not guaranteed and model may perform better or worse.