Presenting a case for “owning” the US soybean crop using futures options, and testing its historical performance over time

Presenting a case for “owning” the US soybean crop using futures options, and testing its historical performance over time

by Hari P Krishnan

Let’s focus on agricultural options using the Allasso engine.

Check out this local article that came across my desk recently.

Shawn Hackett and others see potential upside in beans, given low acreage numbers and potential demand for soybean oil as a cleaner alternative to standard diesel.

Low acreage typically correlates to low prices, with a lag. Figure 1, below, characterises a cheap commodity that (at least for now) is not trending down so badly that you have to catch the falling knife.

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Figure 1: Soybean futures: long fallow periods punctuated with high volatility



Here's a market that surges and declines sharply: you don't want to be exposed to open ended risk. A simple call spread can be enough to express a bullish view.

Figure 2 tracks the relative performance of a 50/30 delta call spread, rolled with 30 days to go, over time.

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Figure 2: Relative performance of soybean call spread strategy and rolling futures, 2006 to present


While the call spread (in blue) does have negative bleed, price rallies have been sharp enough and the call skew expensive enough for the trade to have legs. The distance between the strikes increases on the way up, assuming a steepening skew, which increases upside capture.

As always, not to be taken as trading advice.


About the author

Hari P Krishnan
Hari P Krishnan

Hari P Krishnan has 25 years’ experience in financial markets, with over two decades as a portfolio manager. Formerly a PM at Doherty Advisors in New York, a fund manager at CrossBorder Capital in London, and an Executive Director at Morgan Stanley, he now manages or advises separately managed accounts at SCT Capital in New York.

Hari is the author of The Second Leg Down on regime-based hedging, and lead author of Market Tremors: Quantifying structural risks in modern financial markets. He holds a BA in maths from Columbia University, a PhD in Applied Math from Brown University and was a Postdoctoral Research Scientist at the Columbia Earth Institute.