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.'

Using this definition on our asset we see for example:
  • The total return, or increase in value over 5 years of Maximum Yield Strategy is 111%, which is greater, thus better compared to the benchmark SPY (100.7%) in the same period.
  • Compared with SPY (33.2%) in the period of the last 3 years, the total return, or performance of 83.4% is greater, thus better.

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.'

Using this definition on our asset we see for example:
  • Compared with the benchmark SPY (15%) in the period of the last 5 years, the annual return (CAGR) of 16.1% of Maximum Yield Strategy is higher, thus better.
  • Looking at annual performance (CAGR) in of 22.4% in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (10%).

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.'

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (20.9%) in the period of the last 5 years, the 30 days standard deviation of 26.3% of Maximum Yield Strategy is larger, thus worse.
  • Looking at 30 days standard deviation in of 22.9% in the period of the last 3 years, we see it is relatively larger, thus worse in comparison to SPY (17.3%).

DownVol:

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

Applying this definition to our asset in some examples:
  • Compared with the benchmark SPY (15%) in the period of the last 5 years, the downside volatility of 18.7% of Maximum Yield Strategy is higher, thus worse.
  • Looking at downside volatility in of 16% in the period of the last 3 years, we see it is relatively greater, thus worse in comparison to SPY (12%).

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.'

Using this definition on our asset we see for example:
  • Looking at the Sharpe Ratio of 0.52 in the last 5 years of Maximum Yield Strategy, we see it is relatively lower, thus worse in comparison to the benchmark SPY (0.6)
  • Looking at risk / return profile (Sharpe) in of 0.87 in the period of the last 3 years, we see it is relatively larger, thus better in comparison to SPY (0.44).

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.'

Which means for our asset as example:
  • The excess return divided by the downside deviation over 5 years of Maximum Yield Strategy is 0.73, which is lower, thus worse compared to the benchmark SPY (0.83) in the same period.
  • During the last 3 years, the downside risk / excess return profile is 1.25, which is larger, thus better than the value of 0.62 from the benchmark.

Ulcer:

'Ulcer Index is a method for measuring investment risk that addresses the real concerns of investors, unlike the widely used standard deviation of return. UI is a measure of the depth and duration of drawdowns in prices from earlier highs. Using Ulcer Index instead of standard deviation can lead to very different conclusions about investment risk and risk-adjusted return, especially when evaluating strategies that seek to avoid major declines in portfolio value (market timing, dynamic asset allocation, hedge funds, etc.). The Ulcer Index was originally developed in 1987. Since then, it has been widely recognized and adopted by the investment community. According to Nelson Freeburg, editor of Formula Research, Ulcer Index is “perhaps the most fully realized statistical portrait of risk there is.'

Which means for our asset as example:
  • Compared with the benchmark SPY (9.32 ) in the period of the last 5 years, the Ulcer Index of 12 of Maximum Yield Strategy is greater, thus worse.
  • Looking at Downside risk index in of 7.63 in the period of the last 3 years, we see it is relatively lower, thus better in comparison to SPY (10 ).

MaxDD:

'Maximum drawdown measures the loss in any losing period during a fund’s investment record. It is defined as the percent retrenchment from a fund’s peak value to the fund’s valley value. The drawdown is in effect from the time the fund’s retrenchment begins until a new fund high is reached. The maximum drawdown encompasses both the period from the fund’s peak to the fund’s valley (length), and the time from the fund’s valley to a new fund high (recovery). It measures the largest percentage drawdown that has occurred in any fund’s data record.'

Applying this definition to our asset in some examples:
  • Looking at the maximum DrawDown 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 higher, thus better than the value of -24.5 days from the benchmark.

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.'

Using this definition on our asset we see for 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 higher, thus worse.
  • Looking at maximum time in days below previous high water mark in of 126 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (488 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.'

Applying this definition to our asset in some examples:
  • Looking at the average time in days below previous high water mark of 132 days in the last 5 years of Maximum Yield Strategy, we see it is relatively greater, thus worse in comparison to the benchmark SPY (123 days)
  • Looking at average days below previous high in of 38 days in the period of the last 3 years, we see it is relatively smaller, thus better in comparison to SPY (180 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.