ETF Analytics

Published on by on August 22, 2011 | Updated March 9, 2012

The ETF Analytics tools offered by ETFdb allow for in-depth and flexible analysis of groups of exchange-traded products, facilitating comparison of similar products across more than a dozen investment metrics. The ETF Analytics capabilities are available in several sections of ETFdb.com, including the ETFdb Categories. These “best fit” groupings include ETFs with similar risk/return profiles and investment objectives, such as China Equities or High Yield Bonds. Examining either of these pages shows six separate tabs of information that can be used to compare expenses, historical returns, and technical strength (the links below use the China Equities ETFdb Category as an example):

  • Overview: This tab includes basic information on each ETF, including price, daily change, assets under management, average daily volume, and year-to-date return.
  • Expenses: This tab allows for quick comparison of the expenses charged by each ETF in a given category. In addition to bottom line expense ratio, these pages also identify which trading platforms, if any, offer commission free trading in each fund. Among the China ETFs, for example, FXI is available on two platforms and GXC can be traded commission free in TD Ameritrade accounts. This tab also includes inception date, which may be useful for investors only interested in products with track records of a certain length.
  • Dividends: For investors interested in yield, the new dividends tab allows for quick comparison of ETF distributions. In addition to the dollar amount of the most recent distribution, this tab includes annual dividend yield, P/E ratio, and beta for each ETF.
  • Technicals: This tab includes key technical data points for each ETF, including support and resistance levels and relative strength indicators. Also included is a link to more in-depth technical metrics for each ETF.
  • Holdings: This page allows investors to take a look under the hood of all ETPs in an ETFdb Category, shedding some light on the depth of portfolios maintained and degree of diversification present in each fund. Sortable data fields include Number of Holdings and Percent of Assets in Top Ten Holdings, two metrics that can be used to identify “shallow” or “top heavy” ETFs. Also included in a link to detailed “X-Ray” looks at each ETF, including breakdowns by sector and region (or coupon and maturity for bond funds).
  • Analysis: This final tab includes links to free ETFdb tools that offer more complete analysis of each ETF, including a look at the official fund fact sheet, X-ray holdings data (provided by Morningstar), advanced charting capabilities, and the head-to-head ETF comparison tool.

Most of the fields on these pages are sortable, allowing investors to quickly set filters to identify the cheapest ETF in a given ETFdb Category or the funds with the best / worst return over a specified time period.

 

Analytics On ETFdb Types Pages

The ETF Analytics capabilities are also included on more than 300 ETFdb Types pages that provide considerably more granularity than the ETFdb Categories. Whereas each ETF is assigned to one and only one ETFdb Category, products may be tagged as multiple types.

The ETFdb Types page includes a robust list of various ways to slice-and-dice the universe of U.S.-listed ETFs, including by sector, region, commodity family, and bond type. From this page, investors can quickly navigate to more targeted lists of ETFs, such as all of the Mexico ETFs or silver ETFs. Each of these pages includes all of the tabs highlighted above, as well as the option to exclude leveraged and inverse ETFs from the list.

Again, most of these fields are fully sortable, allowing for customized display of ETFs tagged with a common descriptive data field.

For more even targeted comparison of potential ETF investments, the ETF Analytics functionality has also been integrated into the ETF Screener, another free tool that allows investors to segment the ETF universe using more than a dozen descriptive and quantitative data fields.

Pages equipped with the ETF Analytics functionality include: