The STARS performance chart represents the results of CFRA’s model portfolios. Model performance has inherent limitations. CFRA maintains the model and calculates the model performance shown, but does not manage clients’ funds or securities. The U.S. STARS model performance charts are presented only as an illustration of CFRA’s equity research; it shows how U.S. common stocks, ADRs (American Depositary Receipts) and ADSs (American Depositary Shares), (collectively “equities”), that received STARS rankings performed. STARS ranking categories are models only; they are not collective investment funds. The STARS performance does not show how any actual portfolio has performed over time. STARS model performance does not represent the results of actual trading in an investor’s account. Thus, the model performance shown does not reflect the impact that material economic and market factors might have had on decision-making if actual investor money had been managed by CFRA. Performance is calculated using a time-weighted rate of return using daily valuations. While model performance for some or all STARS ranking categories performed better than the S&P 500 for the period shown, the performance during any shorter period may not have, and there is no assurance that they will perform better than the S&P 500 in the future. STARS does not take into account any particular investment objective, financial situation or need and is not intended as an investment recommendation or strategy. An investor should be aware that an individual’s investments based on the STARS methodology may lose money. Past model performance of STARS is no guarantee of future performance.Effective February 3, 2014, CFRA’s predecessor, S&P GLOBAL MARKET INTELLIGENCE, introduced a new qualitative analyst workflow process (the “Process”). Compared to the prior qualitative Process, the new Process includes an expanded set of quantitative tools, data and analytics. The new Process includes a new STARS recommendation model which suggests STARS rankings based on a quantitative methodology. The new Process is used by analysts as an analytical tool to inform their qualitative determination of STARS rankings. The STARS performance chart reports performance since January 31, 2014 to measure performance after introduction of the new Process. All other performance periods in the chart include performance for the period after introduction of the new Process. There is no assurance that the new Process had a favorable impact on performance for the periods shown.
The equities within each STARS category at December 31, 1986, the inception date of US STARS, were equally weighted. Thereafter, additions to the composition of the equities in each STARS category are made at the average value of the STARS category at the preceding month end with no rebalancing. The average value of the equity equals the total market value of the STARS category at the prior month-end divided by the number of equities in the STARS category at the prior month-end. The number of shares of the new equity added equals the average value of an equity in the STARS category at the preceding month-end divided by the price of the added equity at the close of the day it was added. The number of shares remains fixed unless there is a subsequent distribution. Subsequent to the addition of the equity, the performance calculation is based on the number of shares and the daily closing prices. An equity is deleted in its entirety, and the deletion is made at the closing price of the day that the deletion is made. Since December 31, 2004, performance includes dividends. Equities in a STARS ranking category will change over time, and some or all of the equities that received a STARS ranking during the time period shown may not have maintained their STARS ranking during the entire period.
Model performance does not consider taxes and brokerage commissions, nor does it reflect the deduction of any advisory or other fees charged by advisors or other parties that investors will incur when their accounts are managed in accordance with the models. The imposition of these fees and charges would cause actual performance to be lower than the performance shown. For example, if a model returned 10 percent on a $100,000 investment for a 12-month period (or $10,000) and an annual asset-based fee of 1.5 percent were imposed at the end of the period (or $1,650), the net return would be 8.35 percent (or $8,350) for the year. Over 3 years, an annual 1.5% fee taken at year end with an assumed 10% return per year would result in a cumulative gross return of 33.1%, a total fee of $5,375 and a cumulative net return of 27.2% (or $27,200). Fees deducted on a frequency other than annual would result in a different cumulative net return in the preceding example.
Benchmark Disclosure: The S&P 500 Total Return Index is the benchmark for U.S. 5-STARS – Total Return and U.S. STARS – Total Return. The S&P 500 Index is the benchmark for U.S. STARS – Price Return. The S&P 500 Total Return Index and S&P 500 Index are calculated in U.S. dollars and include dividends. Indexes are unmanaged, statistical composites and their returns do not include payment of any sales charges or fees an investor would pay to purchase the securities they represent. Such costs would lower performance. It is not possible to invest directly in an index. Both the S&P 500 Total Return Index and the S&P 500 Index include a different number of constituents and have different risk characteristics than the STARS equities. Some of the STARS equities may have been included in either the S&P 500 Total Return or S&P 500 Index for some (but not necessarily all) of the period covered in the chart, and some such equities may not have been included at all. The S&P 500 indices exclude ADRs and ADSs. The methodology for calculating the return of the S&P 500 Total Return Index and S&P 500 Index differs from the methodology of calculating the return for STARS. Past performance of the S&P 500 Total Return Index and the S&P 500 Index is no guarantee of future performance.
An investment based upon the STARS methodology should only be made after consulting with a financial advisor and with an understanding of the risks associated with any investment in securities, including, but not limited to, market risk, currency risk, political and credit risks, the risk of economic recession and the risk that issuers of securities or general stock market conditions may worsen, over time. Foreign investing involves certain risks, including currency fluctuations and controls, restrictions on foreign investments, less governmental supervision and regulation, less liquidity and the potential for market volatility and political instability. As with any investment, investment returns and principal value will fluctuate, so that when redeemed, an investor’s shares may be worth more or less than their original cost.
John is Vice President of Equity Research. He joined CFRA in April 2019. He is responsible for fundamental equity research and analysis covering several segments within the Information Technology and Communication Services sectors, including enterprise software and SaaS/cloud providers, Internet advertising/social media platforms, and game developers.
Prior to joining CFRA, John co-founded Samadhi Capital Partners, an investment advisor and equity research firm where he developed an investment process and framework targeted at tech sector equities, with a particular emphasis on gauging the impact of and identifying the long-term winners from artificial intelligence, machine learning, deep learning, neural networks, and related developments categorized under the larger “cognification of software” mega-trend. Before his entrepreneurial stint, he served as Senior Analyst and Portfolio Manager at Sands Capital Management, responsible for the firm’s investments within the tech sector.
John began his career in equity research with an independent equity research firm, Precursor, where he was ranked as the top analyst covering network equipment stocks among independent research firms. He also spent the first dozen years of his career in various roles within the tech industry. During this time, he published dozens of white papers and research reports on topics ranging from network processors, Virtual LAN (VLAN) technology, and the historical evolution of enterprise application architecture.
John graduated from Harvard University with a BA in East Asian Studies.
Matthew is Vice President of Equity Research at CFRA. He is responsible for providing differentiated and actionable research and recommendations on equities in the Materials and Industrials sectors. Matthew’s areas of focus include: metals & mining, construction materials, containers & packaging, and building products. Matthew previously held the position of Industry/Equity Analyst at S&P Global Market Intelligence.
Matthew joined CFRA in 2016 and S&P Global in 2014, after working on the buy-side as an Equity Analyst at London Capital Management in London, Canada, where he covered North American stocks in the Energy and Consumer Staples sectors. Prior to joining the equity research industry, Matthew worked as a Financial Analyst for companies in both the retail and fitness areas.
Matthew holds his Bachelor of Business Administration degree from Colorado State University and his MBA from Concordia University in Montreal, Canada. He is also a CFA charterholder.
Prior to joining S&P Global in 1989 and CFRA in 2016, Sam served as Editor In Chief at Argus Research, an independent investment research firm in New York City.
He holds an MBA in Finance from New York University and a B.A. in History/Education from Muhlenberg College, in Allentown, PA. He is a CFP® certificant and is a Trustee of the Securities Industry Institute®, the executive development program held annually at The Wharton School of The University of Pennsylvania.
Follow Sam on Twitter: @StovallCFRA
Prior to joining CFRA, Todd previously served in other financial positions at S&P Global, such as International Mutual Fund Sector Specialist, Large Cap Value and Large Cap Growth Analyst and has served on the Fund Services Asset Allocation Committee. Prior to joining S&P Global in 2001, Todd was managing editor of Value Line Mutual Fund Survey and Senior Large Cap and Small Cap Value Mutual Fund Analyst. He was also a Financial Advisor with Morgan Stanley.
Todd holds a B.G.S in Finance from the University of Michigan and an MBA in Finance from New York University.
Follow Todd on Twitter at: @ToddCFRA
Prior to joining CFRA, Lindsey worked as an Investment Strategist with S&P Global within the Investment Advisory Services division. She worked in several different capacities at TheStreet.com before that, from helping to manage Jim Cramer’s small and mid-cap Charitable Trusts, to leading trader blog conversations and writing research. She learned the ropes as an equity research analyst at J.P Morgan and Deutsche Bank covering retail companies, and began her career in investment banking with Jefferies & Company’s Mergers & Acquisition group.
Follow Lindsey on Twitter: @LBellCFRA
Prior to joining CFRA and S&P Global, Tuna was a Senior Equity Analyst at Lehman Brothers, New York. He participated in key decisions by the firm’s Investment Policy Committee and was highly instrumental in managing a multi-capitalization equity portfolio, with primary focus on the Technology, Media and Telecom (TMT) sectors. Tuna also gained extensive global consulting experience in his previous roles at Arthur Andersen and KPMG.
Tuna earned an MBA in Finance from the Strathclyde University Business School in Scotland, U.K. He also holds a B.Sc. in Accounting from University of Nigeria as well as LL.B. (JD). Tuna is a CFA charterholder and a Certified Public Accountant (CPA).