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.'

Using this definition on our asset we see for example:
  • The total return, or performance over 5 years of Bond ETF Rotation Strategy is 21.4%, which is higher, thus better compared to the benchmark AGG (-0.8%) in the same period.
  • Looking at total return, or performance in of 18.6% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to AGG (12.3%).

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:
  • Compared with the benchmark AGG (-0.2%) in the period of the last 5 years, the annual performance (CAGR) of 4% of Bond ETF Rotation Strategy is greater, thus better.
  • During the last 3 years, the compounded annual growth rate (CAGR) is 5.9%, which is larger, thus better than the value of 4% from the benchmark.

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 Bond ETF Rotation Strategy is 5.8%, which is smaller, thus better compared to the benchmark AGG (6.1%) in the same period.
  • Compared with AGG (5.9%) in the period of the last 3 years, the historical 30 days volatility of 5.9% 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark AGG (4.3%) in the period of the last 5 years, the downside volatility of 4% of Bond ETF Rotation Strategy is lower, thus better.
  • Compared with AGG (4%) in the period of the last 3 years, the downside volatility of 4.1% is higher, thus worse.

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.'

Applying this definition to our asset in some examples:
  • The Sharpe Ratio over 5 years of Bond ETF Rotation Strategy is 0.25, which is greater, thus better compared to the benchmark AGG (-0.44) in the same period.
  • Compared with AGG (0.25) in the period of the last 3 years, the risk / return profile (Sharpe) of 0.57 is higher, thus better.

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.'

Which means for our asset as example:
  • The downside risk / excess return profile over 5 years of Bond ETF Rotation Strategy is 0.36, which is higher, thus better compared to the benchmark AGG (-0.62) in the same period.
  • Looking at excess return divided by the downside deviation in of 0.83 in the period of the last 3 years, we see it is relatively greater, thus better in comparison to AGG (0.37).

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 Downside risk index of 2.5 in the last 5 years of Bond ETF Rotation Strategy, we see it is relatively lower, thus better in comparison to the benchmark AGG (8.99 )
  • Compared with AGG (2.31 ) in the period of the last 3 years, the Downside risk index of 2.59 is higher, thus worse.

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.'

Which means for our asset as example:
  • Looking at the maximum DrawDown of -6.6 days in the last 5 years of Bond ETF Rotation Strategy, we see it is relatively higher, thus better in comparison to the benchmark AGG (-17.8 days)
  • Looking at maximum DrawDown in of -6.6 days in the period of the last 3 years, we see it is relatively greater, thus better in comparison to AGG (-7.4 days).

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 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 (1114 days)
  • Looking at maximum days under water in of 246 days in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to AGG (195 days).

AveDuration:

'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.'

Which means for our asset as example:
  • Looking at the average days below previous high of 74 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 (503 days)
  • Compared with AGG (61 days) in the period of the last 3 years, the average days under water of 64 days is larger, 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.