Trading Volatility in Volatile Markets | Benn Eifert

Episode Summary

Executive Summary: Ben Eifert explains how derivatives markets have shifted from opaque OTC products toward listed options, how retail speculation changed option flows, why dealer gamma matters, and how volatility is priced across equities, rates, and credit. He emphasizes that volatility is regime-dependent, that tail risk is hard to value, and that many simplistic options narratives—especially around expiries, skew, and bottoms—are misleading.

Main Topics: QVR Advisors’ business model and strategy mix (Priority: 5/5): Eifert describes QVR as a boutique hedge fund with two lines of business: absolute-return strategies seeking uncorrelated returns via derivatives dislocations, and customized solutions such as tail-hedging mandates for large asset owners. Shift from OTC derivatives to listed options (Priority: 5/5): He explains that post-2008 regulation and bank de-risking pushed activity away from opaque OTC derivatives toward exchange-traded options and futures, creating broader retail and institutional access and deeper electronic liquidity. Retail speculation and the option boom (Priority: 5/5): The conversation details the rise of zero-commission trading, social-media-driven speculation, and short-dated single-stock call buying, especially during the pandemic, and how that altered market dynamics and dealer behavior. Gamma hedging, dealer positioning, and market acceleration (Priority: 5/5): Eifert explains that dealer hedging can amplify price moves in either direction, depending on gamma exposure, and that the effect depends on strike, moneyness, and positioning rather than whether the contract is a call or a put. Volatility, VIX, skew, and tail risk pricing (Priority: 5/5): He distinguishes VIX from realized volatility and from tail risk, arguing that volatility must be interpreted by horizon and regime. He says tail risk is especially hard to call cheap or expensive in absolute terms, and that post-COVID variance risk premiums remain elevated. Single-name vs index volatility and dispersion (Priority: 4/5): Eifert says 2022-style markets produced high single-stock volatility but more moderate index volatility, creating opportunities in dispersion trades—often being long single-name vol and short index vol. Rates, credit, and cross-asset macro volatility (Priority: 4/5): He notes that rates volatility has surged to historically high levels amid the fastest fixed-income selloff in decades, while credit vol exists but is smaller and less standardized. He rejects simplistic claims that equity vol mechanically leads rates vol.

Key Arguments: Post-2008 regulation and bank de-risking materially reduced the importance of opaque OTC derivatives and shifted activity toward listed, exchange-traded options and futures. Retail participation in options exploded after zero-commission trading and social-media communities made speculation both accessible and social, particularly in short-dated calls. Dealer gamma does not depend on call vs put; what matters is strike, moneyness, and the dealer’s hedge response, which can amplify moves upward or downward. VIX is a short-term implied volatility measure, not a generic volatility gauge, and it should be interpreted against realized volatility and the prevailing risk premium. Tail risk is extremely difficult to label cheap or expensive in an absolute sense because the probability of catastrophic outcomes is hard to estimate precisely. Single-stock volatility has been elevated due to macro factor rotation, earnings-driven gaps, crowded positioning, and lower liquidity, while index volatility has been more muted. Dispersion strategies have been attractive when single-name realized volatility is high but index volatility and correlation remain comparatively contained. Options expiration can matter, but open interest alone is not enough to infer price impact because you need to know who holds positions and how they are hedged. Macro views are not the core of QVR’s process; macro is used defensively to understand structural flows that show up in derivatives prices. A common retail mistake is treating option-selling or put-selling as 'free money' without properly accounting for gap risk and asymmetric loss potential.

Data Points: Retail activity shift: 2019 - Eifert says 2019 marked the beginning of the retail option-trading boom, helped by zero-commission trading and social media. Pandemic volatility spike: VIX exceeded 80 - He cites March 2020 as a far more extreme selloff than the current market, with crash-like volatility. March 2020 equity move: 35% decline in three weeks - Used to illustrate why VIX reached extreme levels during the COVID crash. Daily crash days in March 2020: 12% crash days - Example of the magnitude of moves that drove volatility to historic highs. Long-term realized volatility in US large-cap equities: ~16% - He frames this as a broad long-term average for realized volatility. Long-term ATM implied vol premium: 1.5 to 2 points over realized - His rough long-term historical rule of thumb for short-term at-the-money implied volatility. Historical variance premium: 2 to 3 points over ATM implied - He says variance swaps historically priced above at-the-money volatility because of negative convexity. Current post-COVID variance premium: 4 to 7 points over ATM vol - He says this higher premium reflects reduced supply of variance selling after 2020. SPX year-to-date drawdown referenced: ~14% - Asked whether VIX at 23-24 made sense given the market selloff. Realized vol in recent regime: low-to-mid 20s - He says realized volatility has been in the low-to-mid 20s in the recent market regime. Illustrative daily decline scenario: 1.5% down every day - He uses this thought experiment to show how different option structures can behave very differently. Implied monthly effect of 1.5% daily decline: ~27% monthly decline - User’s calculation from Eifert’s scenario, used to contrast price decline with volatility level. Example realized volatility from 1.5% daily moves: ~24% realized vol - Eifert’s estimate for the scenario where the market falls 1.5% every day. Big rate move: 2-year Treasury from 50 bps to 250 bps - Used to illustrate the 2022 macro shock driving rate-sensitive equity rotation. Historic rates volatility reference: 2008-type levels - He says rate vol recently rose to levels comparable to the most extreme historical episodes. Move in 2018 equity vol: February and December 2018 spikes - He cites these as examples where equity volatility rose without a broad macro breakdown.

Pivotal Quotes: "The goal is to generate uncorrelated returns that aren't driven by the same risk factors that investors typically have exposure to." — Ben Eifert: Describing QVR’s absolute-return strategy and why derivatives dislocations are central to the firm. "Gamma is really not a directional factor, it's really an accelerant." — Ben Eifert: Explaining how dealer hedging can amplify price moves in either direction depending on positioning. "There is no such thing as a fair vol in some theoretical sense." — Ben Eifert: Warning retail listeners against treating options pricing as a simple historical-vol comparison problem.

Implications: Listeners should treat options as specialized risk-transfer tools, not easy bets. The episode suggests today’s market is shaped by retail flows, dealer hedging, and post-COVID volatility regimes, making simplistic 'VIX is high/low' or 'open interest = support/resistance' narratives unreliable.