Description

IMPORTANT: This strategy can use a short VXZ position which may cause the total allocation of the strategy to be less than 100%. See more information in this article.

The Maximum Yield Rotation Strategy is a high-performing, high-risk investment strategy that rebalances twice a month. It trades one of the most profitable asset classes, volatility, by rebalancing a portfolio between three ETFs: short VXZ (iPath Series B S&P 500 VIX Mid-Term Futures ETN), UBT (ProShares Ultra 20+ Year Treasury) and UGL (ProShares Ultra Gold).

When you trade inverse volatility, which means going short VIX, you play the role of an insurer who sells worried investors an insurance policy to protect them from falling stock markets. Investing in inverse volatility means nothing more than taking over the risk and collecting this insurance premium from worried investors. This obviously needs to be done carefully by following a rules-based strategy.

This strategy is a good way to profit from VIX contango while minimizing heavy losses during volatility spikes. Since treasury bonds and inverse volatility have shown significant negative correlation to each other, the strategy reduces losses during financial crisis by switching early into treasuries. It is still a risky strategy and large drawdown are to be expected, so we recommend allocating no more than 15% of your overall portfolio.

For more information on trading "short volatility", read our original whitepaper on the topic.

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 SPY (77.1%) in the period of the last 5 years, the total return, or increase in value of 200.4% of Maximum Yield Strategy is larger, thus better.
  • Looking at total return, or increase in value in of 109.7% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (65.7%).

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (12.2%) in the period of the last 5 years, the compounded annual growth rate (CAGR) of 24.7% of Maximum Yield Strategy is greater, thus better.
  • Looking at annual return (CAGR) in of 28.2% in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (18.4%).

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:
  • Compared with the benchmark SPY (17.2%) in the period of the last 5 years, the 30 days standard deviation of 27.4% of Maximum Yield Strategy is greater, thus worse.
  • Compared with SPY (15.3%) in the period of the last 3 years, the historical 30 days volatility of 29.6% is higher, thus worse.

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (11.9%) in the period of the last 5 years, the downside deviation of 20.1% of Maximum Yield Strategy is higher, thus worse.
  • Looking at downside volatility in of 22% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (10.3%).

Sharpe:

'The Sharpe ratio (also known as the Sharpe index, the Sharpe measure, and the reward-to-variability ratio) is a way to examine the performance of an investment by adjusting for its risk. The ratio measures the excess return (or risk premium) per unit of deviation in an investment asset or a trading strategy, typically referred to as risk, named after William F. Sharpe.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (0.56) in the period of the last 5 years, the ratio of return and volatility (Sharpe) of 0.81 of Maximum Yield Strategy is higher, thus better.
  • Compared with SPY (1.04) in the period of the last 3 years, the Sharpe Ratio of 0.87 is smaller, thus worse.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.82) in the period of the last 5 years, the excess return divided by the downside deviation of 1.11 of Maximum Yield Strategy is greater, thus better.
  • Compared with SPY (1.54) in the period of the last 3 years, the excess return divided by the downside deviation of 1.16 is lower, thus worse.

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:
  • The Ulcer Index over 5 years of Maximum Yield Strategy is 9.63 , which is higher, thus worse compared to the benchmark SPY (8.46 ) in the same period.
  • Compared with SPY (3.53 ) in the period of the last 3 years, the Ulcer Index of 11 is higher, 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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum DrawDown of -32.6 days of Maximum Yield Strategy is smaller, thus worse.
  • Looking at maximum drop from peak to valley in of -32.6 days in the period of the last 3 years, we see it is relatively lower, thus worse in comparison to SPY (-18.8 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) in days.'

Using this definition on our asset we see for example:
  • The maximum days below previous high over 5 years of Maximum Yield Strategy is 126 days, which is lower, thus better compared to the benchmark SPY (488 days) in the same period.
  • Compared with SPY (87 days) in the period of the last 3 years, the maximum days under water of 124 days is greater, 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.'

Using this definition on our asset we see for example:
  • The average days below previous high over 5 years of Maximum Yield Strategy is 32 days, which is lower, thus better compared to the benchmark SPY (119 days) in the same period.
  • Compared with SPY (21 days) in the period of the last 3 years, the average time in days below previous high water mark of 30 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 Maximum Yield 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.