Skip to main content

Two Earnings Plays for Tomorrow...

We're officially in earnings season and here are two opportunities that stick out to me for tomorrow...

Both of these names are large caps so I don't like super aggressive strategies like ratio backspreads.

  1. Bearish Biogen (BIIB):
    • Long 41 shares at $265.81
    • Long 1 November $265 put at $14.90
    • Long 1 November $255 put at $10.60
    • Long 1 November $245 put at $7.20
Anytime you're trading options with elevated levels of implied volatility it will be difficult to get a lot of convexity and this trade maxes out at 5.72x with a 23% move.  However, the structure manages to get the downside breakeven price up to about $240 which is only about 2.5 ATRs away.  The expected value on this trade is anywhere between $600 and $1,000 using projected vol and $1,400 to $2,100 using implied vol.


      2. Long Vol Kinder Morgan (KMI):
    • Short shares 290 at $31.88
    • Long 6 November $32 calls at $0.78
There's something very interesting going on with Kinder Morgan options ahead of tomorrow's earnings report.  The put options are reflecting the typical spike in implied vol (the November ATM put has an implied vol of 36% vs. a projected period vol of roughly 21%) but the call options are showing as being insanely cheap (the November ATM call has an implied vol of 21.5%).  Put/call parity is supposed to prevent this type of pricing anomaly from arising but for whatever reason it doesn't seem to hold here.  This position has a straddle type of payout structure (straddles are usually a terrible trading strategy) but the breakeven prices are only 1.7x ATR on either side of the current price.  Even if the company reports bad earnings, a layoff announcement (which is expected) could prompt a recovery rally and those cheap call options could really pay off.

Here's what the payoff vs. price projection looks like:

Comments

Popular posts from this blog

Modeling Credit Risk...

     Here's a link to a presentation I gave back in August on modeling credit risk.  If anyone would like a copy of the slides, go ahead and drop me a line... https://www.gotostage.com/channel/39b3bd2dd467480a8200e7468c765143/recording/37684fe4e655449f9b473ec796241567/watch      Timeline of the presentation: Presentation Begins:                                                                0:58:00 Logistic Regression:                                                                1:02:00 Recent Trends in Probabilities of Default:                              1:10:20 Machine Learning:                                                                  1:15:00 Merton Structural Model:                                                        1:19:30 Stochastic Asset Simulation Model:                                        1:27:30 T-Year Merton Model:                

Modeling Black-Litterman; Part 1 - Reverse Optimization

  "The 'radical' of one century is the 'conservative' of the next." -Mark Twain In this series, I'm going to explore some of the advances in portfolio management, construction, and modeling since the advent of Harry Markowitz's Nobel Prize winning Modern Portfolio Theory (MPT) in 1952. MPT's mean-variance optimization approach shaped theoretical asset allocation models for decades after its introduction.  However, the theory failed to become an accepted industry practice, so we'll explore why that is and what advances have developed in recent years to address the shortcomings of the original model. The Problems with Markowitz For the purpose of illustrating the benefits of diversification in a simple two-asset portfolio, Markowitz's model was a useful tool in producing optimal weights at each level of assumed risk to create efficient portfolios.   However, in reality, investment portfolios are complex and composed of large numbers of holdin

Evidence the SPY is Overbought...

 A quick note on the recent market rally here of late.  It's plain to see the markets have been on a tear for the month of June (and going back into May for the QQQ) as the SPY closed today at its highest level in almost fourteen months. If we start to look at the historical levels, however, it appears the SPY may be overbought in the short-run and susceptible to a mean-reverting pattern. Here's the daily chart of the SPY as of today's (6/15/23) close... When looking at the distance between the closing price and the 50-day moving average (illustrated by the yellow bar), we're noticing a large gap... this can be measured by a statistic I developed which I casually refer to as "variance"... or the distance between current prices and their respective moving averages. Historically, throughout the life of the SPY (which debuted in January of '93), the variance over the 50-day moving average has peaked at a reading of 3.20... today's reading posts up at 2.49