Categories
Commentary

Market Tremors

This edition shouts out Public.com, a multi-asset investing platform built for those who take investing seriously. Public recently launched Alpha, an AI investment exploration tool, in the app store. We’re excited to host co-founder and co-CEO Jannick Malling on the next podcast to discuss the market and how AI levels the playing field. Stay tuned!

When market expectations drift too far from underlying fundamentals, they eventually become unsustainable. This sometimes leads to corrections that can trigger cascading effects across the broader market.

It is prevailing investment practices that partly fuel such a dynamic. While concepts like diversification and efficient markets appear sound, they often fail to account for the pressures investors face in practice. For instance, sophisticated retail investors have no mandate and typically have the space to make deliberate, calculated decisions. On the other hand, institutional-type investors, driven by the need to deliver consistent short-term profits, may feel compelled to chase returns. This pressure can lead to riskier behaviors, such as betting on low volatility by selling options. While this may produce steady returns in calm markets, it exposes investors to sudden shocks, volatility repricings, and forced unwinds when markets turn unexpectedly. Investors are often unprepared for such volatility, seldom owning options outright due to the rarity of shocks. This creates a market landscape skewed toward a “winner-takes-all” outcome, where only a few are positioned to benefit from such rare moments.

The following sections explore this realm of increasingly frequent, dramatic, and unpredictable outcomes. Let’s dive in.


In our excruciatingly detailed ‘Reality is Path-Dependent’ newsletter, we explored how markets are shaped by reflexivity (feedback loops) and path dependency (how past events influence the present), setting the stage for August 2024’s turbulence and recovery.

To recap, we noticed that while individual stocks experienced big price swings, the broader indexes, like the S&P 500—representing those stocks—showed restraint. Remarkably, the S&P 500 went over 350 sessions without a single 2% or more significant move lower, reflecting this calm. This happened because of a mix of factors, including many investors focusing on broader market calm, often expressed by selling options and, in some cases, using their profits to double down on directional bets in high-flying stocks. This helped create a gap between the calmer movements in the indexes and wilder swings in individual stock components, leading to falling correlations; beneath the surface, big tech, AI, and Mag-7 stocks gained ground, while smaller stocks in the index struggled, as shown by fewer stocks driving the market higher (weaker breadth).

Graphic: Retrieved from Bloomberg.

By arbitrage constraints, declining correlation is the reconciliation. When investors sell options on an index, the firms on the other side of the trade—like dealers or market makers—dynamically hedge their risk. They may do this by buying the index as its price drops and selling it when it rises, which can help keep the index within a narrower range and reduce actual realized volatility. However, this doesn’t apply as much to individual stocks, where we observed more options buying. For these stocks, hedging works differently: dealers may buy when prices rise and sell when prices fall, reinforcing trends and extending price moves. This creates a situation where the index stays relatively calm, but its components can swing more wildly.

Anyway, we noticed that as the connection between the index and its stocks was weakening, traders who bet on these differences (called dispersion) profited. As more participated in this and other volatility-suppressing trades, it became more successful. This shows how feedback loops (reflexivity) and past events (path dependency) influence future market behavior. Overall, this trade helped sustain the market rally and added stability as lesser-weighted stocks stepped up to offset the slowdown in leaders in July.

However, we speculated about the risks of a broader “sell-everything” market. Waning enthusiasm for big tech stocks and broader market selling on the news could manifest demand for protection (such as buying longer-dated put options). During the quieter, less liquid summer months, this could trigger increased volatility and lead to a sharp sell-off (as dealers or market makers hedge in the same direction the market’s moving, amplifying moves). Although low and stable volatility gave an optimistic market outlook, we considered advanced structures to hedge against potential pullbacks at low cost, including ultra-wide, broken-wing NDX put butterflies, ratio spreads, and low-cost VIX calls and call spreads (which, by way of the VIX being an indirect measure of volatility or volatility squared, offer amplified protection in a crash). In the event of market weakness, these structures would be closed/monetized, with the proceeds/profits used to lower the cost of upside participating trades through year-end. Again, further details can be found in the ‘Reality is Path-Dependent’ newsletter.

Graphic: Retrieved from UBS. Hedge funds were cutting risk in July 2024.

Our warnings about the risks of extreme momentum crowding and positioning leading to violent unwinds were borne out in August 2024. Markets reeled as recession probabilities were repriced, quarterly earnings disappointed, and central bank policies diverged. The Federal Reserve’s dovish stance starkly contrasted with an unanticipated rate hike by the Bank of Japan. This fueled considerable volatility across assets, particularly higher-beta equities and cryptocurrencies, which are more heavily influenced by traditional risk and monetary policy factors. The episode highlighted the vulnerabilities of a market reliant on leveraged trading and concentrated investments; the situation was about more than just a fundamental shock.

Graphic: Retrieved from Bianco Research.

The unraveling was marked by spikes in stock market volatility measures like the VIX, a liquidity vacuum, and forced deleveraging by trend-following and volatility-sensitive strategies. Despite this clearing some froth, key equity and volatility positioning and valuation vulnerabilities remained, leaving markets fragile and uncertain whether growth will stabilize or deteriorate.

Graphic: Retrieved from Bloomberg via PPGMacro. Yen versus Nasdaq.

Some accounts compared the selling to the 1987 stock market crash. Volatility broke its calm streak, with spot-vol beta—the relationship between market movements and expected/implied volatility changes—rising and correlations increasing.

Graphic: Retrieved from Morgan Stanley via @NoelConvex.

Early warning signs of precariousness emerged as prices for far out-of-the-money SPX and VIX options—key indicators and drivers of potential crashes when heavily traded—soared hundreds of percent the week before crash day, Monday, August 5. These tail-risk hedges, often viewed as insurance against steep market drops, carried well, becoming significantly more expensive as demand surged. Just as insurers raise premiums on homes in disaster-prone areas to account for higher risk, the soaring cost of these options reflected the market’s growing fear of extreme outcomes. This repricing fed into broader quantitative measures, triggering a wave of deleveraging and prompting investors to offload hundreds of billions in stock bets, amplifying the sell-off.

Graphic: Retrieved from Nomura via @MenthorQpro.

At one point, the VIX breached 65, its highest level since 2020. A lack of liquidity during pre-market hours and the shift from short-term to longer-term hedges contributed to this sharp rise. The VIX is calculated based on a selection of S&P 500 options about 30 days out, chosen by an algorithm that looks at the middle point between the prices people are willing to buy and sell those options. When there’s not a lot of trading activity and markets get volatile, the difference between the buying (bid) and selling (ask) prices widens, lending to the VIX being higher than it should be.

Graphic: Retrieved from JPMorgan via @jaredhstocks.

Comparatively, VIX futures—perhaps a better measure of hedging demands outside regular market hours—lagged. JPMorgan claims the fast narrowing in the VIX spot and futures indicates the VIX spot overstated fear and hedging demand.

Graphic: Retrieved from Bloomberg.

Moreover, a technical issue at the Cboe options exchange delayed trading, and by the time the problem was resolved, the VIX had already dropped sharply. This coincided with traders doubling down on short-volatility positions and buying stocks, confident in the S&P 500’s historical tendency to rebound in the months following similar volatility spikes.

Graphic: Retrieved from Nomura via The Market Ear.

Rocky Fishman, founder of Asym 500, explains that the dislocations above were compounded by dispersion traders who likely experienced mark-to-market losses on their short index positions while single-stock markets remained closed. This forced some to cover their short index volatility positions, resulting in a pre-market surge in index volatility. Once trading resumed, many began selling single-stock options, triggering a broader decline in volatility levels—particularly in single-stock options.

Graphic: Retrieved from Bloomberg via Asym 500.

So, the rapid decrease in the VIX was driven more by positioning dynamics and the calculation mechanics of the VIX itself rather than a complete unwinding of risky trades. Additionally, the S&P 500’s movement into lower-volatility segments of the SPX options curve, which the VIX relies on, further intensified this decline. Kris Sidial of The Ambrus Group adds, “It’s quite evident that many have doubled down on [short volatility]. But you don’t need to trust our data. Barring any additional volatility shocks in the next few weeks, I expect some of these firms to deliver stellar numbers by the end of Q3 due to their inclination to take on more risk.”

Graphic: Retrieved from Bloomberg via @iv_technicals.

The market’s recovery in the fall was mainly driven by the Mag-7 giants, whose robust performance overshadowed the struggles of smaller stocks. The August decline created an opportunity to acquire beaten-down stocks at discounts, with investors indeed seeing the panic as a buy signal; outside of significant crises unable to topple the economy (like the bank failures in 2023), back-tests suggest that when the VIX exceeds 35, the S&P 500 has historically risen upwards of 15% over the next six months.

Graphic: Retrieved from Bloomberg.

The recovery was not without risks, with the divide between market leaders and laggards highlighting continued fragility. In any case, supportive flows into mega-caps and dealer hedging activities helped stabilize broader indexes through November.

Graphic: Retrieved from Nomura via SpotGamma.

The growing gap between the stable performance of the S&P 500 and the larger fluctuations in its components created profits for those dispersion traders we discussed. However, as valuations for mega-cap stocks climb, the market becomes more vulnerable to shifts in sentiment or capital flows. Events like the yen carry trade—where borrowing in Japan funded investments in U.S. Treasuries and equities—unwind exposed concentration risks and positioning imbalances, which could amplify future shocks.

Graphic: Retrieved from Bloomberg via @Alpha_Ex_LLC.

As for potential triggers and shocks going forward, rising inequality and populism are creating deep divisions within and among major powers, while protectionist policies strain potential global cooperation. According to Cem Karsan of Kai Volatility, these dynamics drive economic battles and indirect conflicts, with Eastern nations working to reduce Western influence. This shift coincides with a new era of high inflation, widening wealth gaps, and changing power dynamics. Millennials, now a dominant force in the workforce and politics, are challenging decades of policies that primarily benefited corporations and the wealthy, reversing globalization and redistributing wealth—though this comes at the cost of heightened inflation.

These structural changes disrupt traditional investment strategies like the 60/40 portfolio. A major geopolitical event, such as China moving on Taiwan, could severely impact supply chains, critical industries, and the global economy, with significant repercussions for stocks like Nvidia and broader indices like the S&P 500. If market bets against panic (like short volatility) unravel, it could trigger more swings like August’s. The same reflexivity that has stabilized markets since then could amplify volatility during future shocks, turning successive disruptions into severe crises if market positioning is misaligned.

Graphic: Retrieved from Joshua Lim.

Despite this challenging backdrop, short-term market behavior operates independently, dictated by supply and demand dynamics. Seasonal flows, particularly during year-end, created a bullish bias; reduced holiday trading volumes, combined with reinvestment effects and significant options expirations, contributed to structural upward pressure on markets. These flows and a historical tendency for election years to drive positive performance suggested a right-skewed distribution for near-term outcomes.

Graphic: Retrieved from SpotGamma.

The prospect and fulfillment of a “red sweep,” characterized by follow-on deregulation, a business-friendly environment, and more animal spirits, boosted markets. However, caution was spotted in certain areas, like bonds, where expectations for inflation rose.

Graphic: Retrieved from Oraclum Capital.

Ultimately, the market overextended, highlighting the risk of a peak as it caught down to weak breath on the Federal Reserve’s surprising hawkish shift in December. This change led to volatility in equities, interest rates, and currencies, reminiscent of the spike in August when the VIX jumped and surpassed the S&P 500’s decline. Such persistent divergences validate a clear shift into a new market regime characterized by volatility that consistently outpaces market sell-offs.

Image
Graphic: Retrieved from Nomura.

In a report, Cboe said that equity spot/vol beta surged to -3.3, meaning for every 1% drop in the S&P 500, the VIX gained 3.3 points—exceeding even August’s extreme levels. SPX options priced greater downside risk, with skew steepening. Notwithstanding, correlations settled near historic lows, signaling investor focus on sector rotation and stock dispersion.

Graphic: Retrieved from Bloomberg via Alpha Exchange.

Early warning signals appeared when volatility and equities increased simultaneously, highlighting a “spot up, vol up” pattern that frequently foreshadows market peaks. For instance, at one moment, upside calls on major stocks like Nvidia and the S&P 500 were well-priced and poised to perform strongly in a rally. This occurs because, during rallies, implied volatility of call options generally decreases as investors tend to sell calls tied to their stock holdings rather than liquidating them entirely. When investors chase synthetic upside exposure through call options, indices like the VIX could stabilize or increase as the market rises. Since counterparties typically adjust their exposure by buying the underlying asset, it propels the rally and magnifies market fluctuations.

Graphic: Retrieved from Nomura.

Beyond the chase, the post-election rally got an extra boost from unwinding protective puts. Significant events like elections typically boost demand for puts as hedges against adverse outcomes, with counterparties hedging these positions by selling underlying stocks or futures, among other things. As markets rise, time passes, or uncertainty fades, these puts lose value, leading counterparties to unwind hedges by buying stocks and futures. This is a structural support that pushes markets higher.

Graphic: Retrieved from Nomura.

Corporate buybacks and stabilizing volatility levels encouraged funds to increase their exposure. Nomura estimated that assuming stable markets, up to $145 billion in additional volatility-sensitive buying could occur over three months. Although 30-day implied volatility traded a bit above realized volatility, this signaled uncertainty rather than distress. Seasonal factors mentioned in the previous section—like low holiday liquidity and limited selling pressure—added to the upward trend.

Graphic: Retrieved from Goldman Sachs.

Then came the FOMC meeting, followed by December’s massive options expiration (OPEX), disrupting the supportive dynamics that had fueled the rally. While a rate cut was expected, uncertainty around forward guidance introduced volatility just as the market faced a substantial unwinding of stabilizing exposure. Those who hedged customer-owned call options by buying stock during rallies and hedged customer-owned puts by selling stock during declines were forced to re-hedge as markets turned lower following the FOMC meeting. This involved selling stocks and futures, adding downside pressure.

Macro factors triggered the initial downside, with positioning amplifying equity volatility.

Graphic: Retrieved from SpotGamma.

Ultimately, volatility levels signaled oversold conditions ahead of a massive put-clearing OPEX, setting the stage for a year-end lift. The volatility spikes in August and December remained contained, as they were largely event-driven and mitigated by existing hedges and a market structure anchored by year-end flows. The subsequent unwinding of significant options positions in December eased the pressure, while reinvestment and re-leveraging effects into January supported against weak breadth; as the earlier-mentioned Cem Karsan explains best, the substantial gains over the year increased collateral for leveraged investors, enabling them to reinvest profits or take on more leverage, which has given markets a lease on life through today.


2025 might see increased volatility, not driven by typical inflation or recession fears but by the positioning dynamics herein that can magnify market swings during downturns. The so-called “red sweep” introduces optimism and the likelihood of greater risk-taking, which could result in one-sided positioning and heightened volatility. Factors like populism, protectionism, and rising interest rates are additional pressures on stocks and bonds. Gold and Bitcoin are identified as potential stores of value, but Bitcoin remains prone to speculation, liquidity challenges, and regulatory obstacles.

The following newsletters will identify structures to lean into fundamental catalysts and underlying volatility contexts. Notably, the structures discussed earlier (such as ultra-wide, broken-wing NDX put butterflies, ratio spreads, and low-cost VIX calls and call spreads) may continue to perform as effective hedges.

See you soon for a detailed part two.

Graphic: Retrieved from Invesco via Bloomberg.

Disclaimer

By viewing our content, you agree to be bound by the terms and conditions outlined in this disclaimer. Consume our content only if you agree to the terms and conditions below.

Physik Invest is not registered with the US Securities and Exchange Commission or any other securities regulatory authority. Our content is for informational purposes only and should not be considered investment advice or a recommendation to buy or sell any security or other investment. The information provided is not tailored to your financial situation or investment objectives.

We do not guarantee the accuracy, completeness, or timeliness of any information. Please do not rely solely on our content to make investment decisions or undertake any investment strategy. Trading is risky, and investors can lose all or more than their initial investment. Hypothetical performance results have limitations and may not reflect actual trading results. Other factors related to the markets and specific trading programs can adversely affect actual trading results. We recommend seeking independent financial advice from a licensed professional before making investment decisions.

We don’t make any claims, representations, or warranties about the accuracy, completeness, timeliness, or reliability of any information we provide. We are not liable for any loss or damage caused by reliance on any information we provide. We are not liable for direct, indirect, incidental, consequential, or damages from the information provided. We do not have a professional relationship with you and are not your financial advisor. We do not provide personalized investment advice.

Our content is provided without warranties, is the property of our company, and is protected by copyright and other intellectual property laws. You may not be able to reproduce, distribute, or use any content provided through our services without our prior written consent. Please email renato@physikinvest for consent.

We reserve the right to modify these terms and conditions at any time. Following any such modification, your continued consumption of our content means you accept the modified terms. This disclaimer is governed by the laws of the jurisdiction in which our company is located.

Categories
Commentary

Reality Is Path-Dependent

This week’s letter begins with an overview of reflexivity. Many works exist on this topic, with “The Alchemy of Finance” summarizing it well. Written by investor George Soros, it concludes that markets are often wrong, and biases validate themselves by influencing prices and the fundamentals they should reflect.

Graphic: Retrieved from Michael Mauboussin. 

Namely, reflexivity is this feedback loop between participants’ understanding and the situations they’re participating in. Sometimes, these feedbacks manifest far-from-equilibrium prices. Think of the connection between lending and collateral value, selling stock to finance growth in the dot-com boom, leaning on cheap money to make longer-duration bets on promising ideas, or the success of volatility trades increasing the crowd in volatility investments, be this dispersion or options selling ETFs.

Graphic: Retrieved from Nomura Holdings Inc (NYSE: NMR)

Perception begets reality, with these far-from-equilibrium conditions reinforced until expectations are so far-fetched they become unsustainable. Sometimes, the corrections become something more, with self-reinforcing trends initiating the opposite way.

Enron creatively hid debt from its balance sheets, guaranteeing it with its stock. When the stock fell, it revealed financial misdeeds, contributing to a broader market downtrend, bankruptcies, and corporate scandals. 

FTX brought itself and some peers down when withdrawals revealed a billions-large gap between liabilities and assets. 

Volmageddon climaxed with the demise of products like the VelocityShares Daily Inverse VIX Short Term Exchange-Traded Note (ETN: XIV) after a sharp jump in volatility sparked a doom loop; to remain neutral, issuers rebalanced, buying large amounts of VIX futures, which propelled volatility even higher and sent products like XIV even lower.

Graphic: VelocityShares Daily Inverse VIX Short Term Note (ETN: XIV) retrieved from investing.com.

The expansion of such trades increases liquidity, sometimes making assets appear more liquid and money-like stores of wealth. This may also stimulate economic growth. Likewise, the contraction or closing of these trades can lead to a sudden reduction in liquidity, negatively impacting the economy and market stability.

“The Alchemy of Finance” identifies a recurring asymmetric market pattern of slow rises and abrupt falls. Additionally, if market prices accurately reflected fundamentals, there would be no opportunity to make additional money; just invest in index funds.

Further, we continue to see interventions to stabilize markets, and they encourage further distortion and misdirection of capital. Often, such interventions are blamed for benefitting wealthy investors most and increasing inequality. As explained in works like “The Rise of Carry: The Dangerous Consequences of Volatility Suppression and the New Financial Order of Decaying Growth and Recurring Crisis,” monetary authorities and regulators’ interventions reinforce scenarios of deteriorating economic growth, more frequent crises and less equality and social cohesion.

We’re getting off track, but the point is that the conclusions and approaches outlined in “The Alchemy of Finance” are captivating. Soros sought to understand markets from within without formal training, access to unique information, or his being math savvy; instead, he attempted to connect deeply with markets, assuming they felt like he did and he could sense their mood changes.

“We must recognize that thinking forms part of reality instead of being separate from it,” he explains. “I assumed that the market felt the same way as I did, and by keeping myself detached from other personal feelings, I could sense changes in its mood, … mak[ing] a conscious effort to find investment theses that were at odds with the prevailing opinion.”

We apply this understanding of the market’s mood in our best way here. Our long-winded analyses of everything from technicals to positioning and, increasingly, fundamentals and macroeconomic themes give us a holistic understanding of what’s at stake, whether self-reinforcing trends exist, and whether to adjust how we express ourselves.

Let’s get into it.


The Great Rotation

Last Thursday, an update on consumer prices showed US inflation cooling to its slowest pace since 2021. Accordingly, traders began pricing the news and buying bonds in anticipation the Federal Reserve may cut its benchmark rate by ~0.75% this year.

Graphic: Retrieved from CME Group Inc’s (NASDAQ: CME) FedWatch Tool. SOFR is a check on market conditions and expectations regarding short-term interest rates.

Optimism about lower interest rates prompted investors to shift from the previously favored large-cap tech, AI, and Mag-7 stocks into riskier market areas and safe-haven assets like gold, reflecting concerns about a potential dovish mistake. The Russell 2000 (INDEX: RUT), an index of smaller companies, outperformed the Nasdaq 100 (INDEX: NDX) by one of the most significant margins in the last decade. Despite the S&P 500 (INDEX: SPX) declining by nearly 1%, almost 400 components recorded gains.

Graphic: Retrieved from BNP Paribas (OTC: BNPQY) Markets 360.

With these underlying divergences, committing capital to bearish positions is challenging. Breadth strengthened with more volume flowing into rising stocks than falling ones. This wouldn’t happen in a sell-everything scenario, explaining the hesitation to sell.

Graphic: Market internals as taught by Peter Reznicek.

The outsized movement observed isn’t surprising as it aligns with the narrative we shared earlier this year. 

While individual stocks are experiencing significant volatility, indexes like the S&P 500, which represent these stocks, show more restrained movement. For example, after Thursday’s sell-off, despite its large constituents like Nvidia Corporation (NASDAQ: NVDA) weakening, the S&P 500 firmed.

Here’s a chart to illustrate.

Graphic: Retrieved from TradingView. Nvidia versus the S&P 500, with the latter in orange.

Among the culprits, investors have concentrated on selling options or volatility (the all-encompassing term) on indexes, and some of this is used to fund volatility in components, a trade (considered an investment by some) known as dispersion. 

The trade is doing well in this environment, with Cboe’s S&P 500 Dispersion Index (INDEX: DSPX) jumping to a one-year high. Dropping realized volatility (i.e., volatility calculated using historical price data) and a widening spread between stock and index implied volatility (i.e., expectations of future volatility derived from options prices) validate this trade’s success, reports Mandy Xu, the Vice President and Head of Derivatives Market Intelligence at Cboe Global Markets (BATS: CBOE).

Graphic: Retrieved from Cboe Global Markets’ (BATS: CBOE) Mandy Xu.

“The market has been broken up into two groups: 1. Nvidia and Magnificent 7; and 2. The other 493. The correlation between those two groups has been low, which has pressured S&P 500 correlation,” explained Chris Murphy, a derivatives strategy co-head at Susquehanna. “When looking at S&P stocks on an equal-weighted basis, the outsized impact of the MAG7 as a group and NVDA specifically is neutralized.”

Understanding correlation is critical to grasping the pricing dynamics between index options and their components and trading volatility dispersion. When counterparties (our all-encompassing term for the dealers, banks, or market makers who may be on the other side) fill their customers’ options sales in the index, they may hedge by buying the index as its price falls and selling when it rises, with all other conditions remaining the same. Consequently, trading ranges may narrow, with realized volatility also falling.

To explain visually, see immediately below. Movement benefits the counterparty’s position. Hedging may result in trading against the market, selling strength, and buying weakness.

Graphic: Retrieved from Reddit, from all places!

This effect may be less pronounced or absent in single stocks, which do not experience the same level of this supposed volatility selling; instead, there is more buying, and the opposite occurs. Movement is a detriment to the counterparty’s position, with all else equal. Hedging may result in trading with the market, buying strength, and selling weakness. This can reinforce momentum and give trends a lease on their life; hedging can help sustain and extend market movements rather than neutralize them.

Graphic: Retrieved from Reddit. 

Together, as counterparties align the index with its underlying basket through arbitrage constraints, its volatility is suppressed, and the components can continue to exhibit their unique volatility—the only possible outcome is a decline in correlation. If the index is pinned and one of the larger constituents moves considerably, the dispersion trader may make good money in such a scenario.

Graphic: Retrieved from Bloomberg.

We now see large stocks starting to turn and lesser-weighted constituents in the S&P 500 firming up, picking up the slack. For instance, Nvidia traded markedly higher immediately after its last earnings report, and the S&P 500 was unfazed. Something is giving, and those constraints we talked about keep things intact.

The rotation, in and of itself, is healthy, giving legs to and broadening the equity market rally. It’s just that it’s happening with the most-loved stocks being severely overbought.

Graphic: Retrieved from BNP Paribas.

Should interruptions continue across large-cap equities, souring speculation on further upside, a broader turn and outflows may manifest. The market’s gradual shift into a higher implied volatility environment, notwithstanding direction, may aid in any such unsettling, feeding into a higher realized volatility.

Graphic: Retrieved from The Market Ear. 

Building on this point, we observe a shift in S&P 500 call options before last Thursday’s steep decline. Implied volatility rose with the S&P 500. SpotGamma indicates this is partly the result of demand for SPX call options as traders seek synthetic exposure to the upside in the place of stock. This “SPX up, SPX vol up” pattern is unusual and typically happens near the short-term tops.

Graphic: Retrieved from Bloomberg via Danny Kirsch, head of options at Piper Sandler Companies (NYSE: PIPR).

SpotGamma adds that the pressure on individual stocks that followed last Thursday stemmed from significant selling of longer-dated calls in the tech sector, a last-in, first-out (LIFO) phenomenon. In other words, those late to the party are the first out!

The counterparts on the other side of this trading potentially (re)hedge this by selling stock.

Graphic: Retrieved from SpotGamma.

However, with call selling, the chances of sustained follow-through are significantly lower. Put buying, which was less prevalent, changes this dynamic. 

In the case of a prolonged downturn, equity put buying is the key indicator we would watch for, along with deteriorating market internals such as breadth, as analyzed earlier. We want to see traders committing more money to the downside at lower prices, and increasingly so, as prices drop and the range expands downward. That’s what market and volume profiles can help with!

The fundamentals don’t necessarily support the case for some disastrous downside, though. 

A dovish Fed can be good for risk as it’s seen as preemptive, BNP Paribas (OTC: BNPQY) shares. Or, a dovish Fed could suggest a coming deceleration. In any case, long-term interest rates will be least sensitive to any change, a negative implication for capital formation, growth, and equity returns.

The Summer Of George

Kai Volatility founder Cem Karsan uses this Summer of George Seinfeld reference to describe the current market. During the summer months, there is insufficient liquidity to overwhelm the market’s current position.

Graphic: Retrieved from Bloomberg via Michael J. Kramer. 

We know the SPX volatility risk premium is near its highs this year. The Cboe, itself, shows the implied-realized volatility spread widening to 4.5% (96th percentile high). 

Implied volatility is low, but not cheap. Consequently, short-leaning volatility trades mentioned in this document remain attractive. 

At the same time, however, there’s still a ton of volatility protecting investors against downsides owned below the market. 

To quote QVR Advisors, there’s “too much supply of front month call selling and too much buying demand for longer-dated puts.” 

“This trade flow is contributing to a large and growing structural dislocation which is not compensating ‘insurance sellers’ (i.e., near-dated call and put writers) and is overcharging in implied volatility terms, buyers of insurance (i.e., long-dated puts).”

Taken together, the implications are staggering. With calm and falling realized volatility, there may be some counterparty re-hedging. This may consist of buying stocks and futures and supporting markets where they are. 

Let’s break down some of the trades to understand better.

Consider yourself a customer who owns 100 shares of the SPRD S&P 500 ETF Trust (NYSE: SPY). You’re traveling to Europe and want to hedge your position against the downside. So, you wake up one morning, go online, and tell your broker you want to buy one at-the-money 50 delta SPY put option.

The delta is terminology for how that option’s price will change based on a $1 change in the underlying. In this case, for every $1 move up/down, the option will change in value by $0.50. Delta is also used to estimate the likelihood of an option expiring in the money. For example, a delta of 0.5 suggests there is approximately a 50% chance the option will expire in the money. There’s also gamma, the second derivative of how the option’s price changes with underlying changes, but we won’t discuss that further.

With your 100 shares hedged, if the market goes down, you don’t mind. You’re hedged, after all!

Naively, we’ll say this trade wasn’t paired up against another investor’s; instead, some mysterious counterparty will warehouse this risk. These mysterious persons want nothing to do with the directional risk of your trade. They’ll hedge by selling 50 SPY shares (i.e., 100 × 0.50). Again, we’re naive here and don’t consider their potential to offset this risk with other positions they may have.

You check your phone after a while and find that SPY hasn’t moved much. Your 50 delta put is now 20 delta. Bummer! You shrug, turn off your phone, and hit the beach.

What happened to that mysterious counterparty on the other side of this trade, though? They bought back 30 SPY shares, supporting the market and reinforcing the trend! 

Though this is a naive take, it may help.

Reality Is Path-Dependent

Your and the counterparty’s actions partly shaped the SPY’s price movement. You bought puts, setting off a chain of events. The counterparty hedged, the market didn’t move, and the hedge was unwound. This only serves to support the SPY further.

“There’s skew in the market, which ultimately forces a buyback of stock by dealers, market makers, banks, etc., every day, and it accelerates into expirations,” Karsan elaborates

“When the market’s up, there’s a buyback and a momentum re-leveraging, … forcing more buying.”

As we approach the end of summer, things change. Among other things, elections are coming, and there will be some hedging of that. With months to go, broad market hedges against a sudden downturn have appeared generally inexpensive, with three-month puts protecting against a drop in the S&P 500 near their lows. See the dark blue line in the graphic below as an example!

Graphic: Retrieved from Cboe Global Markets. 

“The high dispersion of stocks has contributed to weighing on VIX,” shares Tanvir Sandhu, chief global derivatives strategist at Bloomberg Intelligence. “If the equity market breath improves then that may weigh on volatility, while a pullback in mega-cap tech stocks could see both correlation and index volatility rise.”

In fact, excluding NVDA, the VIX hit traded into the 9s, on par with 2017 lows. 

Graphic: Retrieved from Bloomberg via Michael Green.

SpotGamma adds that we are in the second longest stretch without an SPX 1-day 2% move up/down; traders aren’t committing capital to bets on big moves, either. 

Graphic: Retrieved from SpotGamma. 

We see this in spot-vol beta, which refers to the relationship between the market (which we refer to as the “spot” here) and changes in its volatility over time or volatility’s sensitivity to market trading. 

This spot-vol beta has been depressed.

In observance, Nomura Cross-Asset Macro Strategist Charlie McEligott states there’s limited potential for volatility to decrease further, particularly with the SPX 1-month implied correlation at historically low levels. 

To that point, “the historically low spot-vol beta we are seeing now will eventually be followed by historically high spot-vol beta,” the Ambrus Group’s co-CIO anticipates.

Graphic: Retrieved from Nomura. A weak spot-vol beta historically leaves stocks going nowhere.

The case is less so valid with more actively traded shorter-dated options. According to Simplify Asset Management’s Michael Green, the sensitivity remains. You just have to look elsewhere.

Graphic: Retrieved from Michael Green.

It makes sense why. 

Shorter-dated options are less exposed to changes in implied volatility; instead, they expose one more directly to movement or realized volatility. They can be more attractive to hedge with but can cause problems and amplify wild swings in rare cases.

Graphic: Retrieved from JPMorgan Chase & Co (NYSE: JPM).

If news shocks the market one way, movements may exaggerate when traders scramble to adjust their risk, as discussed below. 

Though that’s usually not a worry, as Cboe puts, according to Karsan, a dwindling supply of margin puts, especially those with high convexity and far out-of-the-money, would be the indicator to watch for impending exaggerated movement. These options, particularly if shorter-dated, are crucial during market stress, serving as indicators and drivers of potential crashes when traded in large sizes (e.g., 5,000-10,000 0-DTE options bought on the offer to hedge). 

As a counterparty, you may also use similarly dated options to hedge yourself, bolstering a reflexive loop!

Again, the reality is path-dependent! The path leading to this point—low correlations and reduced availability of those protective options—sets the stage for increased volatility.

Here, we wish to emphasize the convexity component—gamma or the rate at which the delta changes with the underlying asset’s price—rather than the likelihood of the underlying asset reaching the options’ strike prices. Just because an option turns expensive doesn’t mean it is likely to pay at expiry; instead, it may have value because that’s precisely what traders need to trim their margin requirements during volatile markets. 

“Implied vol is about liquidity. It isn’t about fear or greed,” writes Capital Flows Research. 

“Implied vol is about liquidity on specific parts of the distribution of returns on an asset. Remember, even the outright price of an asset is pricing a distribution of outcomes, not a single destination. Options make this even more explicit by having various strikes and expirations with differing premiums and discounts.”

History shows a minor catalyst can lead to a big unwind. Take what happened with index options a day before XIV crash day.

“Going into the close the last hour, we saw nickel, ten, and five-cent options trade up to about $0.50 and $0.70,” Karsan elaborates. “They really started to pop in the last hour.”

“And then, the next day, we opened up, and they were worth $10.00. You often don’t see them go from a nickel to $0.50. If you do, don’t sell them. Buy them, which is the next trade.”

New rules surrounding the collateral traders must post to trade can only amplify a bad situation, “potentially leading to premature and forced hedging as volatility increases,” The Ambrus Group writes.

“Because everyone has to put down more capital, you have to disallow people from trading down there in a way that you don’t have to now,” JJ Kinahan, president of Tastytrade, says.

The opposite can happen when markets move quickly higher. Take the options activity and price action in the Russell 2000 over the last week. Volatility skew, or the difference in implied volatility across different strike options, steepened accordingly. 

Graphic: Retrieved from Bespoke Investment Group via Bloomberg.

Typically, options with farther-away strike prices have higher implied volatility than options with closer strike prices. When the skew steepens, the disparity in implied volatility between these various strike prices widens. 

Depending on the steepening, we may have insight into the type of impending velocity and trade accordingly.

For instance, the implied volatility of out-of-the-money (OTM) calls, which offer protection against market upturns, rises significantly compared to at-the-money (ATM) calls and downside protection (puts). This steepening volatility skew indicates heightened enthusiasm among investors regarding potentially large upward market movements. 

The steepening call volatility skew below results from distant call options pricing higher implied volatility than usual due to investor demand. Beyond helping understand the market’s thinking and mood, it can serve as a catalyst, with call options buying into a price rise further accelerating movement indirectly by how the other side hedges this risk (i.e., they buy stock to hedge).

Graphic: Retrieved from SpotGamma. 

This action is apparent elsewhere, too, in the S&P 500 (as can be seen via the SPX cross-sectional skew graphic from Cboe above), where it’s proving quite sensitive, as well as single stocks like NVDA and Super Micro Computer Inc (NASDAQ: SMCI). We provided examples this year where steepening call skew helped reduce the cost of trades we used to capture the upside. In one case, we removed SMCI butterfly and ratio spreads for tens of thousands of percent in profit (e.g., $0.00 → $10.00)!

Graphic: SMCI volatility skew in February, relative to where it was (shaded) in recent history before that.

Market Tremors

This week’s market tremors are affecting some of the most loved areas of the market, and a flattening skew (e.g., green line versus grey line below) alludes to further potential for pressure.

Graphic: Retrieved from SpotGamma.

In the long term, a few things stick out, including high interest rates and a stronger dollar, which create macroeconomic problems. 

A few explain it better than we do. Higher US interest rates relative to other economies can result in outflows and stress. Just look to places like Japan, where there’s been a lot of currency volatility. If the dollar’s strength continues, it could lead to crises elsewhere, creating a ripple effect and priming potential volatility at home.

“A US Dollar devaluation will then be a tailwind to S&P 500 earnings, which would be positive for stock prices,” Fallacy Alarm summarizes. “However, an unwinding carry trade also causes deleveraging, which is typically not good for asset prices.”

May this upset popular trading activities and catapult something minor into something more? 

Sure, and the current low correlation and implied volatility mean that any considerable market disruption could have a substantial impact. Still, markets are intact and likely to stay so.

“If we continue to grind higher, options will get cheaper and cheaper on their own accord. Not to mention all the vol selling that’s getting them to a point which is even cheaper, at some point,” Karsan adds. “And the acceleration generally in those things becomes on the upside, the realized volatility on the upside gets to be just too big relative to the implied, which means it becomes profitable for entities to come in and start buying vol at these lower levels. Add to that, the vol supply is likely to dissipate a bit as we get into September, October, and November. Why? We have an election sitting there.”

So, as the market moves higher, it transitions into this lower implied volatility, reflected in broad measures like the VIX. If the VIX remains steady or higher, “that indicates that fixed-strike volatility is increasing, and if this persists, … it can unsettle volatility and create a situation where dealers themselves … begin to reduce their volatility exposure,” naturally buoying markets as previously outlined. If there is greater demand for calls, counterparties may hedge through purchases of the underlying asset, a positive.

If The Music’s Playing, Get Up And Dance

With volatility at its lower bound, at which it can stay given its bimodality, it makes sense to look at markets through a more optimistic lens. A lot is working in its favor, and if near-term declines are marginal and not upsetting to the status quo, it may set the stage for a rally through elections.

Accordingly, how do we make positive returns in rising markets and minimize losses or gains in flat-to-down markets as we have now? That’s the goal, right?

For the anxious and must-trade types, short-dated (e.g., 50- or 100-point-wide and 0-1 DTE) butterflies in the NDX worked well on sideways days. Here, we’ve tried to double and triple our initial risk but can easily hit more in benign markets. For the passive types, calendars may do just as well should the realized volatility keep where it is or fall relative to what is implied. 

In anticipation of this week’s controlled retracement, we initiated wide (e.g., up to 2,000-point-wide) broken-wing butterflies and ratio spreads on the put side in the NDX, reducing their cost basis, if any, with the credits from the short-dated fly trades, among others. Into weakness, those spreads now price a few thousand percent higher, and we’re monetizing them, intending to use the credit to finance trades that capture upside potentially or to reduce our stock cost basis.

Regarding hedging potential outliers, BNP Paribas says VIX calls and call spreads remain compelling low premium tail hedges.

“And I think this is one of the arguments for going with VIX calls, not that we’ve seen anything explosive yet this year, but if we do see some of these things unwind, you’re going to get a kicker there where you might see the VIX cruise very quickly up to 45, and it probably won’t stay there unless there’s a real good fundamental reason for that to happen,” explains Michael Purves, the CEO and founder of Tallbacken Capital Advisors. Josh Silva, managing partner and CIO at Passaic Partners, adds, that “when there is a liquidation, it’ll be hard, it’ll be fast and it’ll be dramatic.” 

“Typically, the market after that is pretty awesome.”


Disclaimer

By reading our content, you agree to be bound by the terms and conditions outlined in this disclaimer. Consume our content only if you agree to the terms and conditions below.

Physik Invest is not registered with the US Securities and Exchange Commission or any other securities regulatory authority. Our content is for informational purposes only and should not be considered investment advice or a recommendation to buy or sell any security or other investment. The information provided is not tailored to your financial situation or investment objectives.

We do not guarantee any information’s accuracy, completeness, or timeliness. Please do not rely solely on our content to make investment decisions or undertake any investment strategy. Trading is risky, and investors can lose all or more than their initial investment. Hypothetical performance results have limitations and may not reflect actual trading results. Other factors related to the markets and specific trading programs can adversely affect actual trading results. We recommend seeking independent financial advice from a licensed professional before making investment decisions.

We don’t make any claims, representations, or warranties about the accuracy, completeness, timeliness, or reliability of any information we provide. We are not liable for any loss or damage caused by reliance on any information we provide. We are not liable for direct, indirect, incidental, consequential, or damages from the information provided. We do not have a professional relationship with you and are not your financial advisor. We do not provide personalized investment advice.

Our content is provided without warranties, is the property of our company, and is protected by copyright and other intellectual property laws. You may not be able to reproduce, distribute, or use any content provided through our services without our prior written consent. Please email renato@physikinvest for consent. 

We reserve the right to modify these terms and conditions at any time. Following any such modification, your continued consumption of our content means you accept the modified terms. This disclaimer is governed by the laws of the jurisdiction in which our company is located.

Categories
Commentary

Take The Money And Run

In their Daily Observation, dated January 4, 2000, Bridgewater Associates argued each decade was inclined to be more dissimilar to the preceding one.

“Most people who experienced consistent reinforcement for ten years were inclined to believe that this would continue indefinitely,” the authors Ray Dalio et al. said, pointing to the situation that preceded stock investors’ disappointment in the 1970s, akin to present perceptions. Investors took untimely risks that proved costly. By the late 1970s, influenced by the trauma of inflation, they shifted towards hedge assets.

Graphic: Retrieved from Bloomberg.

The report underscored a significant point: “Thirty years of prosperity and peace created a faith that our problems will be resolved.” Does this sound familiar? Dalio speculates we will soon test the resilience of the existing order and the containment, or lack thereof, of international conflicts. 

Let’s take a step back. What has transpired?

Over many decades, policymakers orchestrated a “growth engine,” nurturing innovation and globalization, inadvertently widening the wealth gap. The urgency to fix disparities, heightened by a pandemic, suggests the next decade will unfold differently, marked by rolling crises.

Inflation & protectionism & conflict, oh my! 

Graphic: Retrieved from TIME. China’s emergence as a global competitor is visualized.

This secular narrative is meticulously explored in our “Climbing A Wall Of Worry” letter. Resolving supply-chain disruptions and commodity deflation helped alleviate overall inflation concerns in the short term. Fiscal boosts, low unemployment, and wage inflation bolstered economic resilience. Pundits are now invoking terms like “soft-landing” and “Goldilocks,” capturing the current sentiment.

Graphic: Retrieved from Bank of America Global Research.

“The picture that market prices are now painting is for inflation to fall to central banks’ targets, for real growth to be moderate, and for central banks to lower interest rates fairly quickly—so the markets are now reflecting a Goldilocks economy,” Dalio says himself. 

The economic outlook for 2024 seems less impressive despite lingering market support from previous stimulations. Market prices indicate five cuts, reducing the target rate range from 525-550 to 400-425 basis points. Federal Reserve Governor Christopher Waller, who generally holds hawkish views, concurs that “the FOMC will be able to lower the target range for the federal funds rate this year.” However, he cautions against anticipating as many cuts, asserting that, despite noisy data, current policy is appropriate and should persist in exerting downward pressure on demand.

Graphic: Retrieved from CME Group on January 21, 2024.

In a different scenario, where higher real interest rates persist, it would negatively affect the economy. A hard landing would be risked, Fabian Wintersberger believes, leading to a fall in GDP and escalating debt ratios. Regardless of the path, the private sector will likely reduce investment and continue deleveraging for as long as feasible.

Graphic: Retrieved from Simplify Asset Management. High Yield Index Years to Maturity suggests organizations find refinancing or reissuing debt difficult, primarily due to the high costs associated with the risk-free component. This situation is reminiscent of the Global Financial Crisis (GFC), where uncertainty in credit markets hindered entities from refinancing.

What does all this mean for the stock market? Investors across all time frames are ultra-enthusiastic, bidding products like the S&P 500 to new highs. However, breadth could be more exciting, judging by the Russell 2000 and equal-weighted indexes.

Graphic: Retrieved from marketcharts.com via Callum Thomas.

Such is the takeaway when looking at market internals also.

Graphic: Retrieved from StockCharts.com.

So, what’s the story? Bloomberg says, “This isn’t your father’s S&P 500. Don’t worry about valuations.”

Typically, these statements raise promote caution. However, investors seem to see no alternative at the moment. The market is fueled by enthusiastic buying of a handful of stocks “accumulating greater and greater weighting.” While the forward P/E of the equal-weight S&P 500 aligns with pre-pandemic averages, the so-called Magnificent 7, steering the well-known S&P 500 (i.e., the SPX), boasts a higher value at 28.

Accordingly, over the shorter term, there are risks, including the market pausing here to “demand some deliverables” and the passage of options expiries last week. 

“The reflexive nature of the market tells us that what we are witnessing here is much more mechanical than anything and probably has nothing to do with what is happening in the real world,” Mott Capital Management’s Michael Kramer discusses.

Graphic: Retrieved from SpotGamma.

SpotGamma explains there was “rhythmic buying” of options “related to the QYLD Nasdaq BuyWrite ETF, which rolls the Thursday before monthly OPEX.”

Graphic: Retrieved from Bloomberg via Michael Kramer. Notice the amount of call open interest.

Kramer, aligning with views expressed by individuals such as Cem Karsan from Kai Volatility, anticipates a potential reversal. The premise is based on the assumption that investors owned a substantial share of call options. With a reduction in their quantity and a decrease in the risk they pose to counterparts engaged in hedging through long stocks and futures, there is expected to be diminished “mechanical” support in the subsequent weeks. SpotGamma emphasizes that Monday is the final day for any options expiration effect.

“The structural supply and demand imbalance should end on Friday,” Karsan states. “I would be careful chasing this tech up here, in particular, if we see some weakness going forward like we’ve been talking about.” 

The crucial factor is the amount of “vol supply” emerging from this event, which could counteract “vol demand” (recall that investors often seek protection through options or volatility, the all-encompassing term). This counteraction may postpone weakness, setting the stage for a more significant decline later in Q1, as highlighted by Karsan.

It’s important to note that a substantial market position involves hedging equity with short-call options and long-put options. Options prices may decrease with increased volatility supply, leading to the counterpart’s re-hedging of this position by buying back underlying stock and futures hedges (i.e., if a counterpart is short futures against an SPX long-call and short-put position, they will buy futures to rebalance their delta as implied volatility falls).

Graphic: Retrieved from Nomura Securities International.

“Can that counter the lack of positive flows, the vol buying, and some of the macro liquidity issues,” Karsan asks, acknowledging the pressures linked to asset runoff, Treasury issuances, the diminishing reverse repo, and external events such as the Red Sea attacks, which are perceived as potentially more impactful on supply chains than the global pandemic. In any case, there are increasing prospects of a “February 14 Valentine’s Day Massacre.”

What’s the course of action? According to Simplify Asset Management, considering that far out-of-the-money puts are now priced at half of what they were at the onset of the global pandemic four years ago, hedging at this point is a prudent move. 

Butterflies in the Nasdaq 100 and S&P 500 present an appealing opportunity. Take, for instance, the 15000/13500/12000 NDX butterfly expiring in the next month or two. It costs between $500 and $1,500 to open. If it’s the shorter-dated one that is in the money today, closing it could yield about a $90,000 credit, excluding changes in implied volatility and the passage of time. The maximum value is $150,000, and the risk is confined to the amount paid at open. Talk about the convexity!

We’ve analyzed this specific trade for you, although in the S&P 500 and without the distant protective put. Given the distinct environment, there is an elevated risk of a volatility increase warranting the acquisition of far-away protection, represented in this instance by the 12000 put.

Graphic: Retrieved from Simplify Asset Management.

Though owning volatility safeguards against a substantial decline, consider the expenses of maintaining that position and the inevitable decline in its value during calm or rising periods. It is “the investment equivalent of death by a thousand cuts.”

“Vol is cheap enough when you go out two or three months, particularly on the call side,” Karsan ends. “Into a rally particularly that should continue to be relatively bid. That doesn’t mean go own one-month vol because that is more uncertain here, right? You will experience a lot of decay if the decline doesn’t happen till February. Right? There is still theta to be had.”

Graphic: Retrieved from Bank of America Global Research.