At one point I was hazy about the internal workings of leveraged and inverse ETFs, so I constructed models of hypothetical 2X and -1X Apple ETFs to clarify my understanding. I ignored a whole host of issues (e.g., regulatory, cost effective leverage), but even a simple model of a leveraged ETF can hurt your brain. The basic inverse and leverage mechanisms shown below are essentially the same for both Exchange Traded Funds (ETFs) and Exchange Traded Notes (ETNs).

Step one: Create the “Double Apple” ETF, symbol “2AAPL”

- Complete an initial offering of 100,000 shares at $100 per share. These shares will be purchased by market makers that will manage the actual buying / selling of the 2APPL shares on the exchanges. This $10 million will provide the seed money to kick-off the ETF. This money is my initial Assets Under Management (AUM).
- Find a friendly banker with deep pockets

Step two: Put the required stock position in place

- Buy $10 million dollars of Apple stock.
- Since I’m offering 2X the performance of Apple stock I need more leverage. There are lots of ways to do this (e.g., futures, swaps), but to keep things relatively simple, I’m just buying more Apple stock
- Borrow $10 million from my banker and buy 20,000 more shares of Apple

Below I show my ETF’s first few days of operation, assuming no share creations or redemptions, with Apple stock starting at $500 per share and daily moves of +5%, +2%, -8%, +8%, and +5% over the next 5 days

Day 1 went great. Subsequent days show my fund failing to achieve its 2X goal. What’s going on here?

The problem is that as the size (AUM) of my fund changes, I need to buy or sell Apple stock to keep my leverage at 2X. Some leveraged funds (e.g., Barclays’ IVOP) have variable leverage. They only offer -1X leverage at their inception price—its leverage varies as the fund value goes up and down.

I want my ETF to exhibit the more typical daily percentage target of 2X of the underlying security. For a 2X fund the value of the incremental shares that need to be bought or sold in the after-market is just the percentage change in the leveraged ETF times the starting AUM. So in the example below, for day 2, my fund went up 10%, and the starting AUM was 10 million, so I need to buy an additional $1 million of AAPL stock at $525/share. These 1905 shares rebalance my fund—but I had to borrow a million dollars more from my banker to pay for them.

The good news is that rebalancing maintains my effective leverage at 2X. The bad news is that I have now introduced path dependency / compounding errors to my fund, and I need to borrow significant additional amounts of money.

Notice how on day 5 the 2AAPL’s NAV is 122.62 vs 123.47 on the non-rebalanced fund, and I have increased my debt by almost 25% from the inception value.

Now that I have a 2X leveraged fund working the way I want, let’s look at a -1X inverse Apple ETF. The first one does not rebalance.

This fund will be short AAPL instead of long. Without rebalancing -1APPL will also show variable leverage. In the simulation I added 8 days of huge drops in the price of AAPL to show one characteristic of non-rebalanced inverse ETFs.

Just like a short position, your maximum profit is limited to double your initial investment. The NAV of this fund will never exceed 200, and notice how the leverage is dropping to very low levels. Barclays’ XXV is a inverse fund like this. It is currently at 38.28 with a leverage of less than -0.10. It will never reach 40.

A -1X inverse Apple ETF with rebalancing is shown below:

This fund exhibits a consistent -1X leverage on a daily percentage basis and doesn’t have the 100% profit limit of a non-rebalanced fund. However, like its 2X long sibling, it shows path dependencies. For example, the NAV on day 5 is lower than the non-rebalanced inverse fund.

Surprisingly the daily rebalancing required for -1X and 2X funds is identical if they have the same AUM. Notice that both rebalanced funds require +1905 shares to be added at the end of day one. For the 2X fund the additional shares are increasing the leverage, for an inverse fund the additional shares are partially covering the short position in order to decrease the leverage.

The formula for computing the number of shares required to rebalance a constant leverage fund at the end of the day is: L * (L-1) * PercentageChange * AUM_{t-1} / Close. Where L is the leverage factor of the fund (e.g, -1, 2), PercentageChange is the daily % move of the underlying, AUM_{t-1 } is the fund’s closing assets under management the previous day, and Close is the closing price of the underlying.

If inverse or leveraged ETFs are present in a thinly traded market this rebalancing process is a concern. On up days both the long leveraged and inverse funds need to buy more shares, on down days they both need to sell. If the effective market size is small these transactions could amplify market moves.

Thursday, March 9th, 2017 | Vance Harwood