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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (105.2%) in the period of the last 5 years, the total return, or increase in value of 198.5% of Maximum Yield Strategy is higher, thus better.
  • Looking at total return, or increase in value in of 201.4% in the period of the last 3 years, we see it is relatively greater, thus better in comparison to SPY (88.7%).

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:
  • Looking at the annual performance (CAGR) of 24.5% in the last 5 years of Maximum Yield Strategy, we see it is relatively larger, thus better in comparison to the benchmark SPY (15.5%)
  • Compared with SPY (23.7%) in the period of the last 3 years, the annual return (CAGR) of 44.7% is greater, 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 historical 30 days volatility over 5 years of Maximum Yield Strategy is 25%, which is larger, thus worse compared to the benchmark SPY (17.2%) in the same period.
  • During the last 3 years, the historical 30 days volatility is 26.1%, which is greater, thus worse than the value of 16.2% 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:
  • Compared with the benchmark SPY (11.9%) in the period of the last 5 years, the downside deviation of 18% of Maximum Yield Strategy is larger, thus worse.
  • During the last 3 years, the downside deviation is 18.4%, which is higher, thus worse than the value of 10.6% from the benchmark.

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.'

Which means for our asset as example:
  • Compared with the benchmark SPY (0.75) in the period of the last 5 years, the Sharpe Ratio of 0.88 of Maximum Yield Strategy is higher, thus better.
  • Compared with SPY (1.31) in the period of the last 3 years, the risk / return profile (Sharpe) of 1.62 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.'

Which means for our asset as example:
  • Looking at the excess return divided by the downside deviation of 1.22 in the last 5 years of Maximum Yield Strategy, we see it is relatively greater, thus better in comparison to the benchmark SPY (1.1)
  • Looking at ratio of annual return and downside deviation in of 2.29 in the period of the last 3 years, we see it is relatively higher, thus better in comparison to SPY (2.01).

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:
  • Compared with the benchmark SPY (8.42 ) in the period of the last 5 years, the Ulcer Ratio of 7.27 of Maximum Yield Strategy is lower, thus better.
  • Compared with SPY (3.62 ) in the period of the last 3 years, the Downside risk index of 5.49 is larger, 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 reduction from previous high of -23.5 days in the last 5 years of Maximum Yield Strategy, we see it is relatively larger, thus better in comparison to the benchmark SPY (-24.5 days)
  • During the last 3 years, the maximum drop from peak to valley is -19.8 days, which is lower, thus worse than the value of -18.8 days from the benchmark.

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). Many assume Max DD Duration is the length of time between new highs during which the Max DD (magnitude) occurred. But that isn’t always the case. The Max DD duration is the longest time between peaks, period. So it could be the time when the program also had its biggest peak to valley loss (and usually is, because the program needs a long time to recover from the largest loss), but it doesn’t have to be'

Applying this definition to our asset in some examples:
  • The maximum time in days below previous high water mark over 5 years of Maximum Yield Strategy is 213 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 below previous high of 85 days is smaller, 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:
  • Looking at the average days below previous high of 43 days in the last 5 years of Maximum Yield Strategy, we see it is relatively lower, thus better in comparison to the benchmark SPY (120 days)
  • During the last 3 years, the average days under water is 19 days, which is lower, thus better than the value of 21 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 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.