Bloomberg Intelligence has created a matrix estimating the US Trump Tariff Impact by company. The most exposed names are in Consumer Staples, Industrials, and Consumer Discretionary sectors. Short interest across the basket has risen from 1.9% to over 2.5% since Trump was elected.
With Trump Tariffs among one of the most closely watched global issues, Bloomberg Intelligence (BI) has created a matrix estimating the US Trump Tariff Impact by company, based on their research. One can see the complete matrix via {BI TARIFFIMP<GO>}
Here is the list of the Top 20 impacted US-listed single name equities, which has been sorted by “Blended Tariff Rate Estimate”. Note they all have an estimated ≥ 20% impact.
The most exposed names to tariffs are in the Consumer Staples, Industrials, and Consumer Discretionary sectors; with Household Products, Electrical Equipment and Retail the most vulnerable industries.
Source: Bloomberg
Bringing S3 data into the analysis:
Using the PRTU function in BBG, we can create a custom TARIFFS basket of these 20 stocks and import into S3 Black App
One can clearly see the increase in short interest across the basket since Trump was elected POTUS, rising from 1.9% to >2.5% today.
The > > Breakdown on the right side sorts the current SI % Float of each member, from largest to smallest.
*Note: AMZN does give the basket a downward bias due to the high SI notional. A user can always create their own basket w/ different criteria (ex AMZN)
We should also analyze our TARIFFS basket in the Screener Tool and see the largest changes in SI % Float over the same timeframe.
Here we can clearly see the specific securities where short interest has been trending higher, to show the “leading” shorts in the basket.
The impact of Trump tariffs on US-listed equities highlights significant sector exposure and rising short interest. Using S3 data, investors can analyze the increase in short interest and identify leading shorts in the basket.
Want to know more? Access this data in real time using S3’s BLACK APP
The information herein (some of which has been obtained from third party sources without verification) is believed by S3 Partners, LLC (“S3 Partners”) to be reliable and accurate. Neither S3 Partners nor any of its affiliates makes any representation as to the accuracy or completeness of the information herein or accepts liability arising from its use. Prior to making any decisions based on the information herein, you should determine, without reliance upon S3 Partners, the economic risks, and merits, as well as the legal, tax, accounting, and investment consequences, of such decisions.
