Description

Statistics (YTD)

What do these metrics mean? [Read More] [Hide]

TotalReturn:

'Total return, when measuring performance, is the actual rate of return of an investment or a pool of investments over a given evaluation period. Total return includes interest, capital gains, dividends and distributions realized over a given period of time. Total return accounts for two categories of return: income including interest paid by fixed-income investments, distributions or dividends and capital appreciation, representing the change in the market price of an asset.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (74.2%) in the period of the last 5 years, the total return, or increase in value of 64.8% of CA Technologies is smaller, thus worse.
  • Looking at total return in of 77.9% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (50.1%).

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Which means for our asset as example:
  • Compared with the benchmark SPY (11.8%) in the period of the last 5 years, the annual performance (CAGR) of 10.5% of CA Technologies is smaller, thus worse.
  • Compared with SPY (14.5%) in the period of the last 3 years, the annual return (CAGR) of 21.2% is greater, thus better.

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Which means for our asset as example:
  • The 30 days standard deviation over 5 years of CA Technologies is 21.3%, which is greater, thus worse compared to the benchmark SPY (13.3%) in the same period.
  • Compared with SPY (13%) in the period of the last 3 years, the 30 days standard deviation of 22.7% is higher, thus worse.

DownVol:

'Risk measures typically quantify the downside risk, whereas the standard deviation (an example of a deviation risk measure) measures both the upside and downside risk. Specifically, downside risk in our definition is the semi-deviation, that is the standard deviation of all negative returns.'

Which means for our asset as example:
  • Looking at the downside deviation of 14% in the last 5 years of CA Technologies, we see it is relatively higher, thus worse in comparison to the benchmark SPY (9.6%)
  • Looking at downside risk in of 13.9% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (9.4%).

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Which means for our asset as example:
  • Looking at the risk / return profile (Sharpe) of 0.38 in the last 5 years of CA Technologies, we see it is relatively smaller, thus worse in comparison to the benchmark SPY (0.69)
  • Looking at risk / return profile (Sharpe) in of 0.82 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (0.93).

Sortino:

'The Sortino ratio improves upon the Sharpe ratio by isolating downside volatility from total volatility by dividing excess return by the downside deviation. The Sortino ratio is a variation of the Sharpe ratio that differentiates harmful volatility from total overall volatility by using the asset's standard deviation of negative asset returns, called downside deviation. The Sortino ratio takes the asset's return and subtracts the risk-free rate, and then divides that amount by the asset's downside deviation. The ratio was named after Frank A. Sortino.'

Applying this definition to our asset in some examples:
  • The ratio of annual return and downside deviation over 5 years of CA Technologies is 0.57, which is lower, thus worse compared to the benchmark SPY (0.96) in the same period.
  • Compared with SPY (1.27) in the period of the last 3 years, the downside risk / excess return profile of 1.34 is larger, thus better.

Ulcer:

'The ulcer index is a stock market risk measure or technical analysis indicator devised by Peter Martin in 1987, and published by him and Byron McCann in their 1989 book The Investors Guide to Fidelity Funds. It's designed as a measure of volatility, but only volatility in the downward direction, i.e. the amount of drawdown or retracement occurring over a period. Other volatility measures like standard deviation treat up and down movement equally, but a trader doesn't mind upward movement, it's the downside that causes stress and stomach ulcers that the index's name suggests.'

Applying this definition to our asset in some examples:
  • Looking at the Ulcer Index of 8.69 in the last 5 years of CA Technologies, we see it is relatively greater, thus worse in comparison to the benchmark SPY (3.97 )
  • During the last 3 years, the Ulcer Index is 5.25 , which is greater, thus worse than the value of 4.1 from the benchmark.

MaxDD:

'Maximum drawdown is defined as the peak-to-trough decline of an investment during a specific period. It is usually quoted as a percentage of the peak value. The maximum drawdown can be calculated based on absolute returns, in order to identify strategies that suffer less during market downturns, such as low-volatility strategies. However, the maximum drawdown can also be calculated based on returns relative to a benchmark index, for identifying strategies that show steady outperformance over time.'

Using this definition on our asset we see for example:
  • Looking at the maximum reduction from previous high of -24 days in the last 5 years of CA Technologies, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-19.3 days)
  • Compared with SPY (-19.3 days) in the period of the last 3 years, the maximum DrawDown of -13.8 days is larger, thus better.

MaxDuration:

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. The Max Drawdown Duration is the worst (the maximum/longest) amount of time an investment has seen between peaks (equity highs) in days.'

Applying this definition to our asset in some examples:
  • Looking at the maximum days below previous high of 314 days in the last 5 years of CA Technologies, we see it is relatively greater, thus worse in comparison to the benchmark SPY (187 days)
  • Looking at maximum days below previous high in of 223 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (139 days).

AveDuration:

'The Average Drawdown Duration is an extension of the Maximum Drawdown. However, this metric does not explain the drawdown in dollars or percentages, rather in days, weeks, or months. The Avg Drawdown Duration is the average amount of time an investment has seen between peaks (equity highs), or in other terms the average of time under water of all drawdowns. So in contrast to the Maximum duration it does not measure only one drawdown event but calculates the average of all.'

Using this definition on our asset we see for example:
  • The average days under water over 5 years of CA Technologies is 106 days, which is greater, thus worse compared to the benchmark SPY (42 days) in the same period.
  • During the last 3 years, the average time in days below previous high water mark is 59 days, which is larger, thus worse than the value of 37 days from the benchmark.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations
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Allocations

Returns (%)

  • Note that yearly returns do not equal the sum of monthly returns due to compounding.
  • Performance results of CA Technologies are hypothetical, do not account for slippage, fees or taxes, and are based on backtesting, which has many inherent limitations, some of which are described in our Terms of Use.