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:

'Total return is the amount of value an investor earns from a security over a specific period, typically one year, when all distributions are reinvested. Total return is expressed as a percentage of the amount invested. For example, a total return of 20% means the security increased by 20% of its original value due to a price increase, distribution of dividends (if a stock), coupons (if a bond) or capital gains (if a fund). Total return is a strong measure of an investment’s overall performance.'

Which means for our asset as example:
  • Compared with the benchmark SPY (141.1%) in the period of the last 5 years, the total return of 176.9% of Maximum Yield Strategy is higher, thus better.
  • Compared with SPY (30.2%) in the period of the last 3 years, the total return, or increase in value of 103.9% is larger, 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 SPY (19.3%) in the period of the last 5 years, the annual return (CAGR) of 22.7% of Maximum Yield Strategy is higher, thus better.
  • Compared with SPY (9.3%) in the period of the last 3 years, the compounded annual growth rate (CAGR) of 27% is larger, thus better.

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.'

Using this definition on our asset we see for example:
  • The volatility over 5 years of Maximum Yield Strategy is 24.6%, which is higher, thus worse compared to the benchmark SPY (17.3%) in the same period.
  • Looking at 30 days standard deviation in of 24.8% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (17%).

DownVol:

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

Which means for our asset as example:
  • The downside risk over 5 years of Maximum Yield Strategy is 17.8%, which is higher, thus worse compared to the benchmark SPY (12%) in the same period.
  • Compared with SPY (12%) in the period of the last 3 years, the downside risk of 17.7% is greater, thus worse.

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.'

Which means for our asset as example:
  • The risk / return profile (Sharpe) over 5 years of Maximum Yield Strategy is 0.82, which is smaller, thus worse compared to the benchmark SPY (0.97) in the same period.
  • Looking at risk / return profile (Sharpe) in of 0.99 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (0.4).

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.'

Using this definition on our asset we see for example:
  • The downside risk / excess return profile over 5 years of Maximum Yield Strategy is 1.13, which is lower, thus worse compared to the benchmark SPY (1.4) in the same period.
  • Compared with SPY (0.56) 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 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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (8.31 ) in the period of the last 5 years, the Ulcer Ratio of 8.08 of Maximum Yield Strategy is lower, thus better.
  • During the last 3 years, the Ulcer Ratio is 7.09 , which is smaller, thus better than the value of 8.15 from the benchmark.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (-24.5 days) in the period of the last 5 years, the maximum drop from peak to valley of -23.5 days of Maximum Yield Strategy is higher, thus better.
  • Compared with SPY (-21.3 days) in the period of the last 3 years, the maximum reduction from previous high of -23.5 days is smaller, thus worse.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (488 days) in the period of the last 5 years, the maximum time in days below previous high water mark of 331 days of Maximum Yield Strategy is smaller, thus better.
  • Looking at maximum days below previous high in of 126 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (318 days).

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 time in days below previous high water mark over 5 years of Maximum Yield Strategy is 69 days, which is lower, thus better compared to the benchmark SPY (119 days) in the same period.
  • Looking at average days under water in of 29 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (86 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 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.