A sub-strategy for the U.S. Sector strategy.

See the main US Sector strategy for a detailed asset description.

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Which means for our asset as example:- The total return over 5 years of US Sectors Balanced Sub-strategy is 62%, which is lower, thus worse compared to the benchmark SPY (129.1%) in the same period.
- Looking at total return, or performance in of 27% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (71.3%).

'The compound annual growth rate (CAGR) is a useful measure of growth over multiple time periods. It can be thought of as the growth rate that gets you from the initial investment value to the ending investment value if you assume that the investment has been compounding over the time period.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (18.1%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 10.1% of US Sectors Balanced Sub-strategy is lower, thus worse.
- Looking at annual return (CAGR) in of 8.3% in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (19.7%).

'In finance, volatility (symbol σ) is the degree of variation of a trading price series over time as measured by the standard deviation of logarithmic returns. Historic volatility measures a time series of past market prices. Implied volatility looks forward in time, being derived from the market price of a market-traded derivative (in particular, an option). Commonly, the higher the volatility, the riskier the security.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (18.7%) in the period of the last 5 years, the volatility of 16.2% of US Sectors Balanced Sub-strategy is smaller, thus better.
- Compared with SPY (22.5%) in the period of the last 3 years, the 30 days standard deviation of 19.3% is lower, thus better.

'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:- Compared with the benchmark SPY (13.6%) in the period of the last 5 years, the downside volatility of 11.4% of US Sectors Balanced Sub-strategy is lower, thus better.
- Looking at downside volatility in of 13.6% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (16.3%).

'The Sharpe ratio is the measure of risk-adjusted return of a financial portfolio. Sharpe ratio is a measure of excess portfolio return over the risk-free rate relative to its standard deviation. Normally, the 90-day Treasury bill rate is taken as the proxy for risk-free rate. A portfolio with a higher Sharpe ratio is considered superior relative to its peers. The measure was named after William F Sharpe, a Nobel laureate and professor of finance, emeritus at Stanford University.'

Which means for our asset as example:- The risk / return profile (Sharpe) over 5 years of US Sectors Balanced Sub-strategy is 0.47, which is lower, thus worse compared to the benchmark SPY (0.83) in the same period.
- Looking at Sharpe Ratio in of 0.3 in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (0.76).

'The Sortino ratio, a variation of the Sharpe ratio only factors in the downside, or negative volatility, rather than the total volatility used in calculating the Sharpe ratio. The theory behind the Sortino variation is that upside volatility is a plus for the investment, and it, therefore, should not be included in the risk calculation. Therefore, the Sortino ratio takes upside volatility out of the equation and uses only the downside standard deviation in its calculation instead of the total standard deviation that is used in calculating the Sharpe ratio.'

Using this definition on our asset we see for example:- The ratio of annual return and downside deviation over 5 years of US Sectors Balanced Sub-strategy is 0.67, which is lower, thus worse compared to the benchmark SPY (1.15) in the same period.
- Looking at excess return divided by the downside deviation in of 0.43 in the period of the last 3 years, we see it is relatively smaller, thus worse in comparison to SPY (1.05).

'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:- The Downside risk index over 5 years of US Sectors Balanced Sub-strategy is 5.32 , which is lower, thus better compared to the benchmark SPY (5.59 ) in the same period.
- Looking at Downside risk index in of 6.47 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (6.38 ).

'A maximum drawdown is the maximum loss from a peak to a trough of a portfolio, before a new peak is attained. Maximum Drawdown is an indicator of downside risk over a specified time period. It can be used both as a stand-alone measure or as an input into other metrics such as 'Return over Maximum Drawdown' and the Calmar Ratio. Maximum Drawdown is expressed in percentage terms.'

Applying this definition to our asset in some examples:- Compared with the benchmark SPY (-33.7 days) in the period of the last 5 years, the maximum drop from peak to valley of -29.2 days of US Sectors Balanced Sub-strategy is higher, thus better.
- Looking at maximum reduction from previous high in of -29.2 days in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (-33.7 days).

'The Maximum 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. It is the length of time the account was in the Max Drawdown. A Max Drawdown measures a retrenchment from when an equity curve reaches a new high. It’s the maximum an account lost during that retrenchment. This method is applied because a valley can’t be measured until a new high occurs. Once the new high is reached, the percentage change from the old high to the bottom of the largest trough is recorded.'

Applying this definition to our asset in some examples:- Looking at the maximum time in days below previous high water mark of 299 days in the last 5 years of US Sectors Balanced Sub-strategy, we see it is relatively greater, thus worse in comparison to the benchmark SPY (139 days)
- Looking at maximum days under water in of 299 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (119 days).

'The Drawdown Duration is the length of any peak to peak period, or the time between new equity highs. 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 below previous high over 5 years of US Sectors Balanced Sub-strategy is 60 days, which is higher, thus worse compared to the benchmark SPY (32 days) in the same period.
- Looking at average time in days below previous high water mark in of 72 days in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (25 days).

Historical returns have been extended using synthetic data.
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- Note that yearly returns do not equal the sum of monthly returns due to compounding.
- Performance results of US Sectors Balanced Sub-strategy 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.