ETF Trends
ETF Trends

By Adam Grossman, CFA, RiverFront Investment Chief Global Equity Officer

At RiverFront, we seek to “filter” news through a fundamental lens and identify where markets have overreacted, or where the news has changed the game for a given market or investment.

While the nuts and bolts of this kind of work do not garner the same level of excitement as the latest headline, it is the bedrock of our selection process.

Stock selection can passively follow an index or actively deviate from it in an effort to generate higher returns and/or seek to reduce risk. While we believe asset allocation must be active, we employ both active and passive stock selection in our portfolios.


  1. Passive: Buy all the stocks in an index where the weights are based on market capitalization.
  2. Smart Beta: A systematic or rules-based way to deviate from traditional passive indexes using other factors to determine the weighting of individual stocks. Value and growth are factors that have been around for years. Recently, factors such as earnings, dividends and volatility have been used to build indexes. These indexes will tend to have biases which will often determine an index’s investment behavior – for example, low volatility ETFs will tend to lean heavily on defensive sectors.
  3. Active Management: Smart beta and active management are similar in that both are driven by the belief that opportunities exist for investors to outperform a passive index through diligent portfolio construction. Active management approaches typically involve several of the following elements:
    1. Subjective assessments of information that are not purely “by the numbers”;
    2. Combining multiple signals / inputs into a unified strategy; and,
    3. A robust risk management process to limit portfolio biases.


Riverfront’s equity selection process is rooted in a culture of diligent research.  Whether we begin from the top down or the bottom up, our equity selection process begins by understanding broad investment themes. Our goal in our research is to identify, where possible, themes that can be applied to a set of stocks to differentiate winners from losers. Where we have rich history and reliable data, we have found some simple combinations of financial information that tend to differentiate winners from losers, in our view. While the specifics of our models are proprietary, our research identifies four broad themes that can be applied slightly differently in different segments of the equity market:

  1. Quality – Quality measures focus on a company’s ability to generate profits sustainably. Whereas value and sentiment variables (described below) use market pricing as a key input, quality variables are defined by financial statements and focus on the ability of a company to generate persistent cash-flows over time. By looking at both growth patterns and quality patterns in financial statements, we are able to differentiate firms that are better positioned for future growth and analyze the associated excess stock returns. Cash flow/ earnings ratios, returns on equity, EBIT/assets, and profit-adjusted-for-accounting-accruals are all examples of quality measures used in our work.
  2. Valuation – There are numerous definitions of value, all of which attempt to capture when a company is cheap relative to a measure of earnings or profit at a given point in time. Valuation is a hybrid between a quality and sentiment variable in that it attempts to measure how the market “feels” about an accounting unit. For example, investing in stocks with a low price-to-earnings ratio implicitly means finding companies that have earnings, but for whatever reason, investors have soured on and are unwilling to pay a high price at the moment. The implicit assumption of value investing is that either the earnings (or whatever measure of profit is used) will improve, or investors’ view of future earnings will improve. This is why news matters to a value investor, and why they will pay more for current earnings, expecting better growth in the future. Price-to-earnings ratios, price-to-cash flow ratios, and price-to-book ratios are all examples of valuation ratios used in our research.
  3. Technical – Sentiment and momentum-based measures attempt to tease out what the market is telling you about a stock, and they tend to use pricing and volume data or analyst opinions as primary ingredients.  There are two broad types of indicators in this family.  Momentum indicators are based on the idea that there is natural herding in markets, and that this herding behavior creates a natural momentum in stocks. Analyst revision ratios and relative price momentum are examples of momentum measures. Sentiment measures attempt to tease out when markets have overreacted to recent information. RiverFront’s relative strength index (RSI) is a great example of a sentiment indicator.
  4. Risk – A recurring theme in our research is the sheer unpredictability implicit in the market. Any historical work that we have done has consistently reinforced to us the importance of measuring and managing unintended biases that might arise in pursuing combinations of strategies listed above.


Riverfront is an active manager, both in asset allocation (the big themes of our portfolio) and security selection (the actual securities we buy to fill the portfolio). That said, when putting a portfolio together, we actually apply all three approaches at different times. We believe that successful portfolio management involves blending the three approaches into a unified framework.

  1. Passive Approach – There are times when our macro research might lead us to a particular asset class where we see an opportunity, but we do not seek to choose between companies. MLPs are a good example of where we purchased a passive index to implement a view on a sector.
  2. Smart Beta or Thematic Approach – A lot of our research into equity markets involves finding themes that can be brought together into a portfolio. One of the great things about a smart beta indexes is that, even if they are concentrated in one theme and have biases, they still spread risks out across a number of individual companies. We can therefore combine a basket of these together to get a desirable mix of themes with an acceptable amount of risks/biases.
  3. Active Management – Active management is pervasive in our portfolios. At the asset allocation level, we often differ meaningfully from passive benchmarks due to both opportunity and risk. At the selection level, we control the magnitude of any deviation from a passive benchmark, but we seek to add value through our selection process.


Among last week’s financial headlines, perhaps the most relevant to Riverfront was the fall in the British pound, which we believe was in response to a clear timetable on Brexit by the UK government and an increasingly hard line being taken by both the UK and Europe. We have been increasingly constructive on UK stocks post-Brexit (many of which are multinational), in part because we expected Brexit to negatively affect the pound. US employment data, also released last week, did not alter our view of modest US economic growth.

Important Disclosure Information:

Past performance is no guarantee of future results.

It is not possible to invest directly in an index.

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