Inverse Cramer ETF is coming to the real world

Previously in May, I wrote about what a hypothetical "Inverse Jim Cramer" ETF would look like. It's worth noting that the concept of "inversing Cramer" was highly popular on social media like r/WallStreetBets given his spotty track record. 

At the time, I figured inverse Cramer would remain a meme. Well, I was proven wrong. An enterprising and clearly meme-savvy fund manager out there, Tuttle Capital Management has actually filed prospectuses for two Cramer-tracking funds:

  1. The Inverse Cramer ETF (SJIM)
  2. The Long Cramer ETF (LJIM)

In retrospect, I'm not surprised. Tuttle Capital is known for its hilarious yet strangely effective ETF lineup. Case in point, their earlier Short Innovation Daily ETF (SARK) that bet against Cathie Wood and her funds is still up 73% year-to-date. 

How the Inverse Cramer ETF might work

Make no mistake, SJIM and LJIM will be actively managed funds. Although Index One was able to construct an Inverse Cramer tracking index, the actual operations of a Cramer-based fund would be significantly more complex. This is not your vanilla buy-and-hold index fund. 

According to Tuttle Capital, both ETFs will hold 20-25 Cramer picks in an equally weighted allocation. Because Cramer often makes his picks live on TV (or via tweets), the fund will likely have significant turnover to maintain low tracking error with Cramer's recommendations. I'm curious to see if there will be large capital gains distributions every year due to this. 

SJIM is the more interesting fund in my opinion and will require some intricacies to carry out its daily inverse exposure target. This will likely necessitate shorting or the use of total return swaps. I'm curious to see if the team at Tuttle plans on using options given their complexity and susceptibility to time decay and changes in implied volatility. 

In many ways, SJIM is basically a long-short alternative fund. If Cramer is bullish a pick, the fund shorts it. If Cramer is bearish on a pick, the fund goes long on it. Buying the fund means basically betting against Cramer in the most explicit and hilarious of ways.

Benefits and risks of SJIM ETF

The premise behind SJIM is theoretically sound and can be boiled down to one observation: "the average stock picker performs horribly ."Stock-picking is extremely difficult to pull off consistently. Everyone is a genius in a bull market, but during bear markets like these, the average stock picker tends to trail a simple index fund significantly. 

Case in point, studies have found that just a handful of stocks (86 in total) account for half of the total stock market's return in the last 90 years, with 96% underperforming risk-free Treasury Bills. Another study found that a blindfolded monkey could beat most stock pickers. Unless you think he’s a prophet with his stock picks, betting against Cramer is like betting against any stock picker. 

What is the bull case for SJIM then? In a nutshell, the fund would likely outperform if just over half of Cramer's picks were wrong in the short term. The inverse exposure will likely be reset daily like most inverse ETFs on the market. Thus, the best-case scenario is a sudden, volatile movement against one of Cramer's recommendations that the fund trades in and out of. 

Most inverse funds have high negative carry due to the positive expected returns of the underlying, volatility drag, and high expense ratios. SJIM could feasibly post a positive long-term return if Cramer was consistently wrong with his picks over the short term, the fund doesn't employ leverage (which amplifies volatility drag), and keeps expense ratios low enough.  
If you're dead set on betting against Cramer, SJIM might be one of the safer ways to do so. Otherwise, you'll have to actively manage dozens of positions, keep up to date with Cramer's news segments and Twitter, use margin to sell stocks short, or fiddle with options. At least with an ETF, your maximum risk is limited to your total investment.

The views and opinions expressed herein are the views and opinions of the author and do not necessarily reflect those of Nasdaq, Inc.

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