Description

The BUG strategy is one of our more conservative strategies. The strategy does not attempt to predict prices or the future state of the economy. It holds a broad diversified number of assets that complement each other, each performing well in a different economic environment such as inflation, deflation, growth and stagnation. It is meant for long term, steady growth and low risk.

It inherits part of its logic from Harry Browne's tried-and-true Permanent Portfolio and the publicized workings of the All-Weather portfolio.

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.

Methodology & Assets
  • US Market (SPY: S&P 500 SPDRs)
  • Long Duration Treasuries (TLT: iShares 20+ Year Treasury Bond)
  • Gold (GLD: Gold Shares SPDR)
  • Cash or equivalent (SHY: 1-3 Year Treasury Bonds)
  • Convertible Bonds (CWB: SPDR Barclays Convertible Securities)
  • Inflation Protected Treasuries (TIP: iShares TIPS Bond Fund)
  • Foreign Bonds (PCY: PowerShares Emerging Markets Sovereign Bond)

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:
  • Compared with the benchmark AGG (-5%) in the period of the last 5 years, the total return of 51.8% of BUG Permanent Portfolio Strategy is higher, thus better.
  • Compared with AGG (6.7%) in the period of the last 3 years, the total return, or increase in value of 27.4% is larger, thus better.

CAGR:

'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:
  • Looking at the annual return (CAGR) of 8.7% in the last 5 years of BUG Permanent Portfolio Strategy, we see it is relatively larger, thus better in comparison to the benchmark AGG (-1%)
  • Compared with AGG (2.2%) in the period of the last 3 years, the annual performance (CAGR) of 8.4% is larger, thus better.

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.'

Which means for our asset as example:
  • The historical 30 days volatility over 5 years of BUG Permanent Portfolio Strategy is 7.4%, which is greater, thus worse compared to the benchmark AGG (6%) in the same period.
  • During the last 3 years, the historical 30 days volatility is 6.3%, which is lower, thus better than the value of 6.7% from the benchmark.

DownVol:

'The downside volatility is similar to the volatility, or standard deviation, but only takes losing/negative periods into account.'

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 deviation of 5.2% of BUG Permanent Portfolio Strategy is larger, thus worse.
  • During the last 3 years, the downside volatility is 4.3%, which is smaller, thus better than the value of 4.6% 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:
  • Compared with the benchmark AGG (-0.58) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.84 of BUG Permanent Portfolio Strategy is higher, thus better.
  • Compared with AGG (-0.05) in the period of the last 3 years, the Sharpe Ratio of 0.93 is higher, thus better.

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.'

Using this definition on our asset we see for example:
  • Looking at the downside risk / excess return profile of 1.19 in the last 5 years of BUG Permanent Portfolio Strategy, we see it is relatively greater, thus better in comparison to the benchmark AGG (-0.82)
  • Compared with AGG (-0.07) in the period of the last 3 years, the excess return divided by the downside deviation of 1.38 is higher, thus better.

Ulcer:

'The Ulcer Index is a technical indicator that measures downside risk, in terms of both the depth and duration of price declines. The index increases in value as the price moves farther away from a recent high and falls as the price rises to new highs. The indicator is usually calculated over a 14-day period, with the Ulcer Index showing the percentage drawdown a trader can expect from the high over that period. The greater the value of the Ulcer Index, the longer it takes for a stock to get back to the former high.'

Which means for our asset as example:
  • Looking at the Downside risk index of 4.5 in the last 5 years of BUG Permanent Portfolio Strategy, we see it is relatively smaller, thus better in comparison to the benchmark AGG (9.51 )
  • Looking at Ulcer Ratio in of 2.2 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to AGG (3.78 ).

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Using this definition on our asset we see for example:
  • The maximum DrawDown over 5 years of BUG Permanent Portfolio Strategy is -11 days, which is greater, thus better compared to the benchmark AGG (-18.4 days) in the same period.
  • Compared with AGG (-9.8 days) in the period of the last 3 years, the maximum drop from peak to valley of -6 days is greater, 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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark AGG (1239 days) in the period of the last 5 years, the maximum days below previous high of 545 days of BUG Permanent Portfolio Strategy is smaller, thus better.
  • Compared with AGG (487 days) in the period of the last 3 years, the maximum days below previous high of 208 days is lower, thus better.

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:
  • Compared with the benchmark AGG (618 days) in the period of the last 5 years, the average time in days below previous high water mark of 145 days of BUG Permanent Portfolio Strategy is smaller, thus better.
  • Looking at average time in days below previous high water mark in of 49 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to AGG (190 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 BUG Permanent Portfolio 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.