Description

The Bond Rotation Strategy is one of our core investment strategies. It is appropriate for investors looking to collect bond dividends while pursuing growth by rotating between bond sectors. The strategy evaluates and allocates to the best performing bond ETFs including treasuries, TIPS, foreign, high-yield and convertible bonds. This is a good strategy if you are looking for a long-term bond investment with medium risk.

The strategy has been updated (as of May 1st, 2020) to allocate 40%-60% to our HEDGE sub-strategy. The statistics below reflect the updated model.

Statistics (YTD)

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

TotalReturn:

'The total return on a portfolio of investments takes into account not only the capital appreciation on the portfolio, but also the income received on the portfolio. The income typically consists of interest, dividends, and securities lending fees. This contrasts with the price return, which takes into account only the capital gain on an investment.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark AGG (-1.5%) in the period of the last 5 years, the total return, or performance of 24.8% of Bond ETF Rotation Strategy is higher, thus better.
  • Looking at total return, or performance in of 22% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to AGG (14.6%).

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.'

Using this definition on our asset we see for example:
  • The annual return (CAGR) over 5 years of Bond ETF Rotation Strategy is 4.6%, which is greater, thus better compared to the benchmark AGG (-0.3%) in the same period.
  • During the last 3 years, the compounded annual growth rate (CAGR) is 6.9%, which is higher, thus better than the value of 4.7% from the benchmark.

Volatility:

'Volatility is a statistical measure of the dispersion of returns for a given security or market index. Volatility can either be measured by using the standard deviation or variance between returns from that same security or market index. Commonly, the higher the volatility, the riskier the security. In the securities markets, volatility is often associated with big swings in either direction. For example, when the stock market rises and falls more than one percent over a sustained period of time, it is called a 'volatile' market.'

Using this definition on our asset we see for example:
  • The historical 30 days volatility over 5 years of Bond ETF Rotation Strategy is 5.9%, which is lower, thus better compared to the benchmark AGG (6.1%) in the same period.
  • Looking at 30 days standard deviation in of 6.4% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to AGG (5.3%).

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 4.1% in the last 5 years of Bond ETF Rotation Strategy, we see it is relatively lower, thus better in comparison to the benchmark AGG (4.3%)
  • During the last 3 years, the downside deviation is 4.5%, which is higher, thus worse than the value of 3.6% from the benchmark.

Sharpe:

'The Sharpe ratio was developed by Nobel laureate William F. Sharpe, and is used to help investors understand the return of an investment compared to its risk. The ratio is the average return earned in excess of the risk-free rate per unit of volatility or total risk. Subtracting the risk-free rate from the mean return allows an investor to better isolate the profits associated with risk-taking activities. One intuition of this calculation is that a portfolio engaging in 'zero risk' investments, such as the purchase of U.S. Treasury bills (for which the expected return is the risk-free rate), has a Sharpe ratio of exactly zero. Generally, the greater the value of the Sharpe ratio, the more attractive the risk-adjusted return.'

Using this definition on our asset we see for example:
  • Looking at the risk / return profile (Sharpe) of 0.35 in the last 5 years of Bond ETF Rotation Strategy, we see it is relatively larger, thus better in comparison to the benchmark AGG (-0.46)
  • Looking at ratio of return and volatility (Sharpe) in of 0.69 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to AGG (0.41).

Sortino:

'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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark AGG (-0.65) in the period of the last 5 years, the ratio of annual return and downside deviation of 0.51 of Bond ETF Rotation Strategy is greater, thus better.
  • During the last 3 years, the excess return divided by the downside deviation is 0.98, which is greater, thus better than the value of 0.61 from the benchmark.

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:
  • The Ulcer Ratio over 5 years of Bond ETF Rotation Strategy is 2.42 , which is smaller, thus better compared to the benchmark AGG (8.91 ) in the same period.
  • Compared with AGG (1.8 ) in the period of the last 3 years, the Downside risk index of 2.42 is greater, thus worse.

MaxDD:

'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.'

Using this definition on our asset we see for example:
  • The maximum drop from peak to valley over 5 years of Bond ETF Rotation Strategy is -6.6 days, which is greater, thus better compared to the benchmark AGG (-17.7 days) in the same period.
  • Looking at maximum drop from peak to valley in of -6.6 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to AGG (-4.8 days).

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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Which means for our asset as example:
  • Looking at the maximum time in days below previous high water mark of 246 days in the last 5 years of Bond ETF Rotation Strategy, we see it is relatively smaller, thus better in comparison to the benchmark AGG (1116 days)
  • During the last 3 years, the maximum days under water is 246 days, which is higher, thus worse than the value of 195 days from the benchmark.

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.'

Applying this definition to our asset in some examples:
  • Looking at the average days below previous high of 64 days in the last 5 years of Bond ETF Rotation Strategy, we see it is relatively smaller, thus better in comparison to the benchmark AGG (505 days)
  • Compared with AGG (53 days) in the period of the last 3 years, the average time in days below previous high water mark of 59 days is higher, thus worse.

Performance (YTD)

Historical returns have been extended using synthetic data.

Allocations ()

Allocations

Returns (%)

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