The $300 Billion Structured Notes Market Is Booming
Hosted by Joe Weisenthal and Tracy Alloway
- 51m
- Transcript
Summary
Written by a model from the transcript; not yet reviewed.
This episode of Odd Lots focuses on the booming 300 billion dollar structured notes market, exploring how these complex financial instruments operate and what their rise means for broader market dynamics. Hosts Tracy Alloway and Joe Weisenthal speak with Alex Mikulitzky, Managing Director and International Head of Equity Structured Notes at Nomura, to break down how banks combine deposits and options to create customized yield and protection strategies for high-net-worth investors. The discussion unpacks key concepts like auto-callables, worst-of baskets, and Greek risk exposures such as delta and Vega, explaining how dealers hedge these positions and why market turbulence or slow market grinds can trigger difficult hedging pressures.
Throughout the conversation, the guest and hosts examine why these products have gained immense popularity in the US private banking channel and internationally, particularly as investors seek enhanced yields alongside downside buffers. They explore the mechanics of knockout features, the challenges of modeling correlations across multiple indices or single stock names, and how shifting market regimes influence dealer hedging behavior. By connecting technical derivative flows to real-world market turbulence, the episode provides a clear look at how derivative structures can influence equity and volatility markets.
- Structured notes are essentially bank deposits combined with customized option components to offer tailored yields or downside protection. 5:38
- Auto-callable notes can terminate earlier than their maturity date if the underlying index or stock trades above its initial performance level. 11:08
- High-net-worth individuals through private bank channels are the primary natural buyers of these structured products. 8:18
- US SEC-registered structured notes are on track to hit approximately 300 billion dollars in issuance. 10:14
Chapters
- 0:00Podcast Introduction and Advertisements
The episode opens with a brief tech minute and a series of commercial spots before the hosts begin the main discussion.
- 2:29Hosts Introduce Structured Notes Episode
Joe and Tracy welcome listeners and set the stage for a deep dive into the booming structured notes market.
- 5:09Market Growth and Issuance Trends
Discussion of the $300 billion run‑rate of U.S. registered structured notes and the rise of worst‑of and auto‑callable products.
- 23:17Hedging and Greek Management
Exploration of delta, vega, and gamma hedging strategies used by issuers to manage the risk of structured notes.
- 33:35Investor Perspective and Ideal Market Regimes
High‑net‑worth investors describe their desired outcomes and how market volatility affects coupon payouts.
- 43:18Asia vs. U.S. Structured Note Popularity
Comparison of structured note usage in Asia and the U.S., including cultural and regulatory differences.
- 48:30Future Outlook and Market Impact
Hosts speculate on how shifts in AI, volatility, and market dynamics could influence structured note demand.
- 51:34Pain Points of Structured Product Hedging
Explores how different hedging strategies can become painful during market swings.
- 52:46Creative Auto-Callable Structures
Describes a knockout auto-call feature that can eliminate a product after a single stock moves sharply.
- 54:38Client Wealth and Product Complexity
Discusses how wealthier clients demand increasingly exotic structured products.
- 55:15Liquidity and Market Impact of Exotic Products
Examines how liquidity constraints and market size affect the viability of complex structures.
- 56:22Market Maker Challenges and Greeks
Highlights the difficulties market makers face in absorbing Vega and the importance of Greek literacy.
Highlights
- 5:38
Defining Structured Notesinsight
The guest defines structured notes as a combination of a bank deposit and a derivative, where investors forgo standard interest in exchange for customized equity participation, yield enhancement, or bearish protection.
- 10:14
Explosive US Issuance Growthdata
US-issued SEC-registered structured notes are on track to reach 300 billion dollars this year, up from approximately 200 billion dollars the previous year, driven largely by worst-of auto-callables.
- 11:08
How Auto-Callables Workstrategy
Auto-callables offer higher yields by allowing the product to knock out and return capital early if the underlying asset is above its initial performance on periodic observation dates.
- 15:34
Understanding Protection Buffersinsight
Structured notes often feature contingent puts with a buffer strike, such as 60 percent, meaning investors retain downside protection until the underlying asset drops past that specific barrier.
- 23:17
Initial Dealer Hedging Stepsstrategy
When an issuer sells a structured note, the first hedging step is to eliminate directional delta risk by trading out the short delta position created by the embedded options.
- 28:06
Turbulence and Hedging Pressuresinsight
When markets experience turbulence and spot prices decline, auto-callable maturities extend, leaving dealers short on Vega and facing difficulties as market makers pull back from taking on optionality.
Quotes
“I think SEC registered notes this year are on track to hit about 300 billion versus approximately 200 billion last year.”
Unnamed speaker · 10:14 “We take your money. We either give you a participation, we give you a yield and it's through a combination of options.”
Unnamed speaker · 7:00 “And so we build a volatility surface on that, a local vol surface.”
Unnamed speaker · 37:05 “And looking at this from the lens of trading in Hong Kong and Australia, there are real two, three, five-year equity markets that are hedgeable.”
Unnamed speaker · 46:49 “skew is flattening. That can be painful. And what can also be painful is, hey, I've hedged”
Unnamed speaker · 52:13 “the more creative auto calls we've seen is one with a knockout auto call feature.”
Unnamed speaker · 53:13 “painful environment isn't the big sharp move down or the sharp move up. It's that slow grind, which, you know, kind of is what we've been seeing recently.”
Tracy Alloway · 57:29 “You, you can get more and more exotic. I would say that liquidity is a factor and generally what provokes or what creates these sort of structures is what created pain.”
Unnamed speaker · 55:15
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About this episode
The structured products business in the US has gotten very large recently — on track to hit $300 billion in sales this year. That they are all the rage means a once opaque financial product is getting a lot more attention. So what are structured products, exactly, and how are they influencing the economy? In short, structured products are basically a fusion of a bank IOU with a derivative product, but that underplays how complex these things are and how they are shaping market dynamics. What is particularly interesting about structured notes is how they've become a stand-in for how investors are betting on the AI trade — the ways these products are structured allow market actors to really capitalize on some of the turbulence we're seeing. On this episode, we speak with Alex Micalizzi, who is the international head of equity structured notes at Nomura, and he gives us what might be the clearest explanation of how structured products are created, how they work, and why sales in structured products have grown so much in the last year. Only Bloomberg.com subscribers can get the Odd Lots newsletter in their inbox, plus unlimited access to the site and app. bloomberg.com/subscriptions/oddlots https://www.bloomberg.com/subscriptions/oddlots?in_source=oddlotspodcast Join the Odd Lots Discord: discord.gg/oddlots See omnystudio.com/listener https://omnystudio.com/listener for privacy information.
Transcript
11,017 words · 8 speakers
Speaker names marked are inferred from speaking time and the show’s known hosts — they are not voice-verified.
Topics
- Vega
- Delta
- Worst of
- Bloomberg
- AI
- Gamma
- Call Spread
- Put Spread
- Auto Callable
- NASDAQ
Page updated · transcript and summary are machine-generated