Last week we wrote a piece citing work done by some of the greats in behavioral finance – Benartzi, Tversky and Kahneman. Our work suggested that the recent wall of stock-based compensation could create unprecedented risk for employees.

Millions of individuals often refuse to diversify their stock comp due to well-understood behavioral errors. Two of the “culprits” we cited were representativeness and excessive extrapolation.

At the request of several FAs, today’s piece will walk through a simple example of soaring stock grants and excessive extrapolation. We’re going to use Nvidia because our ranking tools are neutral on the stock, and it has quickly become a household name.

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First, the stock-based compensation component. The chart below shows two things.

  • The light blue bars are scaled to the left-hand axis and show the amount of stock-based compensation NVDA granted employees by the company’s Fiscal Year End
  • The red line is the stock price of Nvidia over that same period adjusted for stock splits

When the stock price was low, the company’s employees received very small amounts of stock. Now that the company’s stock price has risen 44,083%, employees received ~$4bn in stock over just the last 12 months.

We are not suggesting impropriety. We picked Nvidia because our models are neutral on the stock. Yet the valuation, infused with AI hype, now suggests that recent profit growth will accelerate.

Before explaining why this might be a case of excessive extrapolation, we will first acknowledge our own biases. KCR has written a great deal about the expectations embedded in AI stocks.

We haven’t exactly been bullish:

  • In Everything AI, we explained the brazen vendor financing underway in the tech complex and showed how it was an almost perfect analog to the dot.com bubble, which would lead to devastating losses

Our dim view of bloated valuations and high expectations has left egg on our face. Nvidia, the leader of the AI complex, has beaten earnings, and the stock is rising ever higher. We stand unbowed in our views.[1]

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The chart below shows analysts’ two-year forward expected earnings per share for Nvidia

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  1. As a reminder for our Financial Advisors: our models are available on a continuous basis, and most have been in production for over a decade.  If you are looking for simple, concentrated, low turnover, and tax efficient model portfolios we would like to talk with you.  KCR also offers a wide range of easy-to-use but sophisticated tools.  Our toolkits can help identify mispriced stocks with the best and worst risk/reward characteristics, estimate a stock’s duration and warn you when a company is engaging in low-quality accounting. Over the last 12 years, KCR has built and offers time-tested and class-leading products built by experienced and proven money managers for fixed to low prices.
  2. Kailash Capital Research, LLC ’s sister company, L2 Asset Management, runs market neutral, long/short, large-cap, and mid-cap long-only portfolios with a value and quality bias.  L2 employs a highly disciplined investment process characterized by moderate concentration, low turnover, high tax efficiency, and low fees. While nobody can predict the future, we believe the recent resurgence in risk-adjusted returns seen across all products is the beginning of what may be a long period where speculation is punished, and prudence and patience rewarded.
[1] Full disclosure: KCR’s asset management firm runs benchmark aware active strategies that may or may not have positions in many AI stocks due to various tracking error constraints and the hard-earned knowledge that empirical nonsense is unbounded; we call this “forced hypocrisy”

[2] December 30, 2022, through June 21st, 2024

[3] Calendar year 2022 or FYE 01/29/2023 vs. the Last 12 Months with financial data as of 04/28/2024, source Bloomberg

Disclaimer

The information, data, analyses, and opinions presented herein (a) do not constitute investment advice, (b) are provided solely for informational purposes and therefore are not, individually or collectively, an offer to buy or sell a security, (c) are not warranted to be correct, complete or accurate, and (d) are subject to change without notice. Kailash Capital Research, LLC and its affiliates (collectively, “KCR”) shall not be responsible for any trading decisions, damages, or other losses resulting from, or related to, the information, data, analyses or opinions or their use. The information herein may not be reproduced or retransmitted in any manner without the prior written consent of KCR. In preparing the information, data, analyses, and opinions presented herein, KCR has obtained data, statistics, and information from sources it believes to be reliable. KCR, however, does not perform an audit or seek independent verification of any of the data, statistics, and information it receives. KCR and its affiliates do not provide tax, legal, or accounting advice. This material has been prepared for informational purposes only and is not intended to provide, and should not be relied on for tax, legal, or accounting advice. You should consult your tax, legal, and accounting advisors before engaging in any transaction.

Nothing herein shall limit or restrict the right of affiliates of KCR to perform investment management or advisory services for any other persons or entities. Furthermore, nothing herein shall limit or restrict affiliates of KCR from buying, selling, or trading securities or other investments for their own accounts or for the accounts of their clients. Affiliates of KCR may at any time have, acquire, increase, decrease, or dispose of the securities or other investments referenced in this publication. KCR shall have no obligation to recommend securities or investments in this publication as a result of its affiliates’ investment activities for their own accounts or for the accounts of their clients.

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June 27, 2024 |

Categories: Quick Takes

June 27, 2024

Categories: Quick Takes

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