Our Detailed Portfolio Stats and Individual Security Analysis modules are loaded with powerful metrics and dynamic calculations. This glossary serves to clarify specifics around the statistics and values presented for
In this Article:
- Modeled Performance
- Asset Classification
- Regional Exposure
Both our Detailed Portfolio Stats and Individual Security Analysis pages include a summary widget up top to provide a high level overview of the selected investment or portfolio.
- Price: Previous day’s market close price for the selected security
- Annual Dividend: Incorporates the trailing twelve months (TTM) of regular dividends for the selected security. This aggregated to reflected all holdings when presented at the portfolio level. Principal distributions and other unique, one-time events are removed from the calculation so as to not overstate the normal dividend yield.
- Expense Ratio: Calculated by using the trailing twelve months (TTM) of expenses for the selected security or aggregated to reflect all holdings when presented at the portfolio level.
- Potential Annual Return: Median return established by the security or portfolio's annualized 95% Probability Range. A security or portfolio's potential annual return takes into account return and volatility metrics, dividend payouts, as well as any internal expenses charged by mutual funds and ETFs.
- 95% Probability Range: Worst-case and best-case guardrails based on a historical calculation that incorporates a variety of statistical inputs including the price history, historical expenses, dividends, etc.) down to the holding level.
- Trailing Returns: Total return values based on the specific timeframes denoted. Please note that timeframes over 1 year account for compounding growth rates.
Individual Security Analysis summaries also include Financial and Risk statistics.
- Financial Stats:
- YTD Return: Year-to-date return percentage for the selected security, calculated based adjusted close price on January 1st through previous day’s adjusted close price
- 52 Week Range: For stocks and ETFs, this represents the lowest and highest of all the (intra-trading day) prices during the preceding 52 weeks. For mutual funds, this figure is based on daily adjusted close prices during the preceding 52 weeks.
- Market Cap / Net Assets: For individual stocks, Market Cap represents the latest close price multiplied by the number of common shares outstanding. For mutual funds and ETFs, Net Assets represents the sum of the share class net assets of all share classes that are tied to the same Fund. The currency of the share class is not accounted for in the calculation.
- Avg Volume: Represents the total trading volume for the previous 3 months divided by the actual number of trade days of the previous 3 months.
- Risk Stats
- Beta: Excess volatility as compared to the S&P 500, based on monthly returns dating back to June 1, 2004.
- Alpha: Measurement of the selected security’s ability to generate returns in excess of the S&P 500, based on monthly returns dating back to June 1, 2004.
- Annualized Standard Deviation: Measurement of annualized volatility, based on monthly returns dating back to Jan 1, 2008.
- Max Drawdown: The maximum percent loss, from peak to trough, based on daily adjusted close prices dating back to June 1, 2004.
The Modeled Performance widget facilitates a deep historical and statistical analysis of your portfolio’s holdings along with the holdings of up to 5 comparators and a benchmark index. The chart plots the performance of the selected security or portfolio, a benchmark and up to 5 added comparisons during the selected timeframe.
The modeled performance table directly below the Modeled Performance widget dynamically adjusts the following statistics to the timeframe and benchmark you select:
- Beta: A comparative statistic expressing the ratio of a portfolio’s volatility to that of the indicated benchmark.
- R Squared: Quantifies the percentage of a portfolio’s movement (both positive and negative) that can be attributed to movement in the indicated benchmark.
- Sharpe Ratio: This “bang-for-your-buck” metric assesses a portfolio’s efficiency, by illustrating its return relative to its risk exposure. This can help to facilitate a comparison of portfolios with drastically different Risk Numbers.
- Batting Average: This statistic will tell you how each portfolio fared at the plate during the “season” you define above. In this case, a portfolio’s batting average is simply the percentage of months during the time period, that it outperformed the indicated benchmark.
- Drawdown: The maximum percent loss, from peak-to-trough, for a portfolio before a new peak is established during the specified time period.
- Standard Deviation: Volatility metric expressing an annualized standard deviation of monthly returns for the portfolio during the time period specified.
- Total Return (%): Simply put, how well or how poorly did the portfolio perform?
High-level asset class data (Stocks, Bonds, Cash, Other) for ETFs and mutual funds are combined with equity and bond sector data in a single visual. The high-level equity category is divided into 11 sector categories, while bonds are divided into 4 sectors. The table area features sector data for the selected benchmark.
Regional exposure for ETFs and mutual funds is broken down into the following seven geographic regions: North America, Latin America, Europe, Asia, Middle East, Africa, and Oceania. This chart and the corresponding table also displays regional exposure data for the selected benchmark.
Want to find out more? Click Here for the Individual Security Analysis knowledge base article.