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:
  • The total return over 5 years of Maximum Yield Strategy is 79.6%, which is smaller, thus worse compared to the benchmark SPY (99.5%) in the same period.
  • Looking at total return, or performance in of 89.8% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (44.4%).

CAGR:

'Compound annual growth rate (CAGR) is a business and investing specific term for the geometric progression ratio that provides a constant rate of return over the time period. CAGR is not an accounting term, but it is often used to describe some element of the business, for example revenue, units delivered, registered users, etc. CAGR dampens the effect of volatility of periodic returns that can render arithmetic means irrelevant. It is particularly useful to compare growth rates from various data sets of common domain such as revenue growth of companies in the same industry.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (14.8%) in the period of the last 5 years, the annual performance (CAGR) of 12.5% of Maximum Yield Strategy is lower, thus worse.
  • Compared with SPY (13.1%) in the period of the last 3 years, the annual performance (CAGR) of 23.9% is larger, thus better.

Volatility:

'Volatility is a rate at which the price of a security increases or decreases for a given set of returns. Volatility is measured by calculating the standard deviation of the annualized returns over a given period of time. It shows the range to which the price of a security may increase or decrease. Volatility measures the risk of a security. It is used in option pricing formula to gauge the fluctuations in the returns of the underlying assets. Volatility indicates the pricing behavior of the security and helps estimate the fluctuations that may happen in a short period of time.'

Using this definition on our asset we see for example:
  • The 30 days standard deviation over 5 years of Maximum Yield Strategy is 27.5%, which is larger, thus worse compared to the benchmark SPY (21%) in the same period.
  • During the last 3 years, the 30 days standard deviation is 24.9%, which is larger, thus worse than the value of 17.4% 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:
  • The downside deviation over 5 years of Maximum Yield Strategy is 19.9%, which is larger, thus worse compared to the benchmark SPY (15%) in the same period.
  • Looking at downside risk in of 17.9% in the period of the last 3 years, we see it is relatively higher, thus worse in comparison to SPY (12.1%).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (0.59) in the period of the last 5 years, the risk / return profile (Sharpe) of 0.36 of Maximum Yield Strategy is lower, thus worse.
  • During the last 3 years, the risk / return profile (Sharpe) is 0.86, which is larger, thus better than the value of 0.61 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.'

Applying this definition to our asset in some examples:
  • The excess return divided by the downside deviation over 5 years of Maximum Yield Strategy is 0.5, which is smaller, thus worse compared to the benchmark SPY (0.82) in the same period.
  • During the last 3 years, the excess return divided by the downside deviation is 1.2, which is higher, thus better than the value of 0.87 from the benchmark.

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:
  • Looking at the Ulcer Index of 13 in the last 5 years of Maximum Yield Strategy, we see it is relatively higher, thus worse in comparison to the benchmark SPY (9.33 )
  • Looking at Downside risk index in of 7.36 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (8.63 ).

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.'

Using this definition on our asset we see for example:
  • Looking at the maximum reduction from previous high of -35.7 days in the last 5 years of Maximum Yield Strategy, we see it is relatively lower, thus worse in comparison to the benchmark SPY (-33.7 days)
  • During the last 3 years, the maximum reduction from previous high is -23.5 days, which is lower, thus worse than the value of -22.1 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'

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 516 days of Maximum Yield Strategy is greater, thus worse.
  • Compared with SPY (325 days) in the period of the last 3 years, the maximum days below previous high of 126 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:
  • The average time in days below previous high water mark over 5 years of Maximum Yield Strategy is 131 days, which is greater, thus worse compared to the benchmark SPY (122 days) in the same period.
  • Looking at average time in days below previous high water mark in of 31 days in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (89 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.