BUG Permanent Portfolio Strategy | Logical Invest

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:
  • Looking at the total return of 56% in the last 5 years of BUG Permanent Portfolio Strategy, we see it is relatively higher, thus better in comparison to the benchmark AGG (-2.2%)
  • During the last 3 years, the total return is 9%, which is higher, thus better than the value of -7.3% from the benchmark.

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.'

Which means for our asset as example:
  • The annual performance (CAGR) over 5 years of BUG Permanent Portfolio Strategy is 9.3%, which is larger, thus better compared to the benchmark AGG (-0.4%) in the same period.
  • Compared with AGG (-2.5%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 2.9% is greater, 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.'

Using this definition on our asset we see for example:
  • The historical 30 days volatility over 5 years of BUG Permanent Portfolio Strategy is 8.7%, which is higher, thus worse compared to the benchmark AGG (6.8%) in the same period.
  • During the last 3 years, the 30 days standard deviation is 6.7%, which is smaller, thus better than the value of 7.1% 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.'

Using this definition on our asset we see for example:
  • The downside risk over 5 years of BUG Permanent Portfolio Strategy is 6.5%, which is higher, thus worse compared to the benchmark AGG (5%) in the same period.
  • Looking at downside volatility in of 4.8% in the period of the last 3 years, we see it is relatively lower, thus better in comparison to AGG (5%).

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.'

Which means for our asset as example:
  • Looking at the ratio of return and volatility (Sharpe) of 0.78 in the last 5 years of BUG Permanent Portfolio Strategy, we see it is relatively larger, thus better in comparison to the benchmark AGG (-0.43)
  • During the last 3 years, the Sharpe Ratio is 0.06, which is greater, thus better than the value of -0.71 from the benchmark.

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.'

Which means for our asset as example:
  • Compared with the benchmark AGG (-0.59) in the period of the last 5 years, the ratio of annual return and downside deviation of 1.05 of BUG Permanent Portfolio Strategy is higher, thus better.
  • Compared with AGG (-0.99) in the period of the last 3 years, the downside risk / excess return profile of 0.09 is greater, 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 Ulcer Index of 4.89 in the last 5 years of BUG Permanent Portfolio Strategy, we see it is relatively lower, thus better in comparison to the benchmark AGG (9.22 )
  • During the last 3 years, the Ulcer Ratio is 5.68 , which is smaller, thus better than the value of 10 from the benchmark.

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:
  • Compared with the benchmark AGG (-18.4 days) in the period of the last 5 years, the maximum drop from peak to valley of -19.3 days of BUG Permanent Portfolio Strategy is lower, thus worse.
  • Compared with AGG (-16.7 days) in the period of the last 3 years, the maximum DrawDown of -11 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:
  • Looking at the maximum time in days below previous high water mark of 545 days in the last 5 years of BUG Permanent Portfolio Strategy, we see it is relatively smaller, thus better in comparison to the benchmark AGG (1107 days)
  • Compared with AGG (755 days) in the period of the last 3 years, the maximum days under water of 545 days is lower, thus better.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark AGG (509 days) in the period of the last 5 years, the average time in days below previous high water mark of 147 days of BUG Permanent Portfolio Strategy is lower, thus better.
  • During the last 3 years, the average days below previous high is 213 days, which is smaller, thus better than the value of 378 days from the benchmark.

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.