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:

'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:
  • Looking at the total return, or increase in value of 25.3% in the last 5 years of Bond ETF Rotation Strategy, we see it is relatively larger, thus better in comparison to the benchmark AGG (0.9%)
  • Compared with AGG (10.7%) in the period of the last 3 years, the total return of 21.7% is higher, thus better.

CAGR:

'The compound annual growth rate isn't a true return rate, but rather a representational figure. It is essentially a number that describes the rate at which an investment would have grown if it had grown the same rate every year and the profits were reinvested at the end of each year. In reality, this sort of performance is unlikely. However, CAGR can be used to smooth returns so that they may be more easily understood when compared to alternative investments.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark AGG (0.2%) in the period of the last 5 years, the annual return (CAGR) of 4.6% of Bond ETF Rotation Strategy is greater, thus better.
  • Looking at annual return (CAGR) in of 6.8% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to AGG (3.5%).

Volatility:

'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:
  • The 30 days standard deviation over 5 years of Bond ETF Rotation Strategy is 5.7%, which is lower, thus better compared to the benchmark AGG (6.1%) in the same period.
  • During the last 3 years, the historical 30 days volatility is 5.9%, which is higher, thus worse than the value of 5.5% from the benchmark.

DownVol:

'Downside risk is the financial risk associated with losses. That is, it is the risk of the actual return being below the expected return, or the uncertainty about the magnitude of that difference. 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:
  • The downside volatility over 5 years of Bond ETF Rotation Strategy is 3.9%, which is lower, thus better compared to the benchmark AGG (4.3%) in the same period.
  • During the last 3 years, the downside deviation is 4.1%, which is greater, thus worse than the value of 3.8% from the benchmark.

Sharpe:

'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.'

Using this definition on our asset we see for example:
  • The risk / return profile (Sharpe) over 5 years of Bond ETF Rotation Strategy is 0.38, which is higher, thus better compared to the benchmark AGG (-0.38) in the same period.
  • During the last 3 years, the ratio of return and volatility (Sharpe) is 0.72, which is larger, thus better than the value of 0.18 from the benchmark.

Sortino:

'The Sortino ratio measures the risk-adjusted return of an investment asset, portfolio, or strategy. It is a modification of the Sharpe ratio but penalizes only those returns falling below a user-specified target or required rate of return, while the Sharpe ratio penalizes both upside and downside volatility equally. Though both ratios measure an investment's risk-adjusted return, they do so in significantly different ways that will frequently lead to differing conclusions as to the true nature of the investment's return-generating efficiency. The Sortino ratio is used as a way to compare the risk-adjusted performance of programs with differing risk and return profiles. In general, risk-adjusted returns seek to normalize the risk across programs and then see which has the higher return unit per risk.'

Applying this definition to our asset in some examples:
  • Looking at the ratio of annual return and downside deviation of 0.55 in the last 5 years of Bond ETF Rotation Strategy, we see it is relatively greater, thus better in comparison to the benchmark AGG (-0.54)
  • Looking at ratio of annual return and downside deviation in of 1.04 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to AGG (0.25).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark AGG (8.98 ) in the period of the last 5 years, the Downside risk index of 2.36 of Bond ETF Rotation Strategy is lower, thus better.
  • Looking at Ulcer Ratio in of 2.46 in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to AGG (2.21 ).

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.'

Applying this definition to our asset in some examples:
  • Looking at the maximum reduction from previous high of -6.6 days in the last 5 years of Bond ETF Rotation Strategy, we see it is relatively larger, thus better in comparison to the benchmark AGG (-17.8 days)
  • Compared with AGG (-7.2 days) in the period of the last 3 years, the maximum DrawDown of -6.6 days is larger, thus better.

MaxDuration:

'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.'

Using this definition on our asset we see for example:
  • Looking at the maximum days below previous high 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 (1146 days)
  • Compared with AGG (195 days) in the period of the last 3 years, the maximum days under water of 246 days is larger, thus worse.

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.'

Which means for our asset as example:
  • The average days below previous high over 5 years of Bond ETF Rotation Strategy is 64 days, which is lower, thus better compared to the benchmark AGG (533 days) in the same period.
  • Looking at average days below previous high in of 60 days in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to AGG (57 days).

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.