Volatility doesn't discriminate. But it can punish the unprepared. 

Stops getting hit on moves that reverse within minutes. Premiums on short-dated options climbing. And the yen no longer behaving as the reliable hedge it once was.  

For traders across Asia, navigating this environment means asking harder questions about risk, timing, and the assumptions baked into strategies built for calmer markets.

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1. How do I trade VIX CFDs during a geopolitical shock?

The CBOE Volatility Index (VIX) measures the market’s expectation of 30-day implied volatility on the S&P 500. It is often called the “fear gauge.” During geopolitical shocks such as the current Iran escalations, sanctions announcements, and surprise central bank actions, the VIX can spike sharply and quickly.

What makes VIX CFDs different in a shock

VIX itself is not directly tradeable. VIX CFDs are typically priced off VIX futures, which means they carry contango drag in normal conditions. 

During a geopolitical shock, several things can happen at once

• Spot VIX may spike immediately while near-term futures lag, creating a disconnect.
• Spreads on VIX CFDs can widen significantly as liquidity thins.
• Margin requirements may change intraday as broker risk models adjust.
• VIX tends to mean-revert after spikes, so timing and duration are critical.

What this means for Asian-hours traders

Asian market hours mean many geopolitical events can break while local traders are active or just starting their session. 

A shock that hits during Tokyo hours may already be priced into VIX futures before Sydney opens.

Some traders use VIX CFD positions as a short-term hedge against equity portfolios rather than a directional trade. Others trade the reversion (the move back toward historical averages once the initial spike fades). Both approaches carry distinct risks, and neither guarantees a specific outcome.

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2. Why are my 0DTE options premiums so expensive right now?

Zero days-to-expiry (0DTE) options expire on the same day they are traded. They have become one of the fastest-growing segments of the options market, now representing more than 57% of daily S&P 500 options volume according to Cboe global markets data.

For Asian-based participants accessing US options markets, elevated premiums during volatile periods can feel like mispricing, but usually reflects structural pricing factors.

Why premiums spike

Options pricing is driven by intrinsic value and time value. For 0DTE options, there is almost no time value left, which might suggest they should be cheap but the implied volatility component compensates for that.

When uncertainty increases, sellers may demand greater compensation for the risk of sharp intraday moves. 

This can be reflected in

• Higher implied volatility inputs.
• Wider bid-ask spreads.
• Faster adjustments in delta and gamma hedging.

In higher-VIX environments, hedging flows can contribute to short-term feedback loops in the underlying index. This can amplify price swings, particularly around key levels.

What this means for Asian-hours traders

Many 0DTE options contracts see their most active pricing and hedging flows during US trading hours. Entering positions during the Asian session may mean facing stale pricing or wider spreads.

If you are seeing expensive premiums, it may reflect the market accurately pricing the risk of a large same-day move. Whether that premium is worth paying depends on your view of the likely intraday range and your risk tolerance, not on the absolute dollar figure alone.

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3. How do I adjust my algorithmic trading bot for a high-VIX environment?

Many algorithmic trading systems are built on parameters calibrated during lower-volatility regimes. When VIX spikes, those parameters can become outdated quickly.

The regime mismatch problem

Most trading algorithms use historical data to set position sizes, stop distances, and entry thresholds. That data reflects the conditions during which the system was tested. If VIX moves from 15 to 35, the statistical assumptions underpinning those settings may no longer hold.

Common failure modes in high-VIX environments include

• Stops triggered repeatedly by noise before the intended directional move occurs.
• Position sizing based on fixed-dollar risk, which becomes relatively small compared to actual intraday ranges.
• Correlation assumptions between assets breaking down.
• Slippage on execution that erodes edge.

Approaches some algorithmic traders consider

Rather than running a single fixed set of parameters, some systems incorporate a volatility regime filter. This is a real-time check on VIX or ATR that triggers a switch to different settings when conditions shift.

Approach adjustments that some traders review in high-VIX environments

• Widen stop distances proportionally to ATR to reduce noise-driven exits.
• Reduce position size to maintain constant dollar risk relative to wider expected ranges.
• Add a VIX threshold above which the system pauses or moves to paper trading mode.
• Reduce the number of simultaneous positions, as correlations tend to rise during market stress.

No adjustment eliminates risk. Backtesting new parameters on historical high-VIX periods can provide some indication of likely performance, though past conditions are not a reliable guide to future outcomes.

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4. Is the Japanese Yen (JPY) still a reliable safe-haven trade?

During periods of global risk aversion, capital has historically flowed into JPY as investors unwind carry trades and seek lower-volatility holdings. However, the reliability of this dynamic has become more conditional.

Why has the yen historically moved as a safe haven?

Japan’s historically low interest rates made JPY the funding currency of choice for carry trades and when risk-off sentiment hits, those trades unwind quickly, creating demand for yen.

Additionally, Japan’s large net foreign asset position means Japanese investors tend to repatriate capital during crises, further supporting JPY.

What has changed

The Bank of Japan’s shift away from ultra-loose monetary policy in recent years has complicated the traditional safe-haven dynamic. 

As Japanese interest rates rise:

• The scale of carry trade positioning may change.
• USD/JPY can become more sensitive to interest rate spreads.
• BoJ communication and domestic inflation data may influence JPY independently of global risk appetite.

The yen can still behave as a safe haven, particularly during sharp equity sell-offs. But it may respond more slowly or inconsistently compared to earlier cycles when the policy divergence between Japan and the rest of the world was more extreme.

What to watch

For traders monitoring JPY as a safe-haven signal, BoJ meeting dates, Japanese CPI releases, and real-time US-Japan rate spread data have become more relevant inputs than they were a few years ago.

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5. How do I avoid ‘whipsawing’ on energy CFDs?

Whipsawing describes the experience of entering a trade in one direction, getting stopped out as the price reverses, then watching the price move back in the original direction.

Energy CFDs, particularly crude oil, are especially prone to this in volatile markets. And for traders in Asia, the combination of thin liquidity during local hours and sensitivity to geopolitical headlines can make this particularly challenging.

Why energy CFDs whipsaw

Crude oil is sensitive to a wide range of headline drivers: OPEC+ production decisions, US inventory data, geopolitical supply disruptions, and currency moves. 

In high-volatility environments, the market can react strongly to each headline before reversing when the next one arrives.

• Price spikes on a headline, stops are triggered on short positions.
• Traders re-enter long, expecting continuation.
• A second headline or profit-taking reverses the move.
• Long stops are hit. The cycle repeats.

Approaches traders may consider to manage whipsaw risk

Some traders choose to change their risk controls in volatile conditions (for example, reviewing stop placement relative to volatility measures). However these may increase losses; execution and slippage risks can rise sharply in fast markets

Other approaches that some traders review:

• Avoid trading crude oil CFDs in the 30 minutes before and after major scheduled data releases.
• Use a longer timeframe chart to identify the prevailing trend before entering on a shorter timeframe, reducing the chance of trading against larger institutional flows.
• Scale into positions in stages rather than committing full size on initial entry.
• Monitor open interest and volume to distinguish between moves with genuine participation and low-liquidity fakeouts.

Whipsawing cannot be eliminated entirely in volatile energy markets. The goal of risk management in these conditions is not to predict which moves will hold, but to ensure that losses on false moves are smaller than gains when a genuine directional move follows.

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Practical considerations for volatile Asian markets

Asian markets carry structural characteristics that interact with volatility differently from US or European markets:

• Thinner liquidity during local hours can exaggerate moves on thin volume, particularly in energy and FX CFDs.
• Events in China, including PMI releases, trade data, and PBOC policy signals, can move regional indices.
• BoJ policy decisions have become a more active driver of JPY and Nikkei volatility in recent years.
• Overnight gaps from US session moves are a persistent structural risk for traders unable to monitor positions around the clock.
• Margin requirements on leveraged products can change at short notice during high-VIX periods.

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Frequently asked questions about volatility in Asian markets

What does a high VIX reading mean for Asian equity indices?

VIX measures expected volatility on the S&P 500, but elevated readings typically reflect global risk aversion that flows across markets. Asian indices such as the Nikkei 225, Hang Seng, and ASX 200 can often see increased volatility and negative correlation with sharp VIX spikes.

Can 0DTE options be traded during Asian hours?

Access depends on the platform and the specific instrument. US equity index 0DTE options are most actively priced during US trading hours. Asian traders may face wider spreads and less representative pricing outside those hours.

Are algorithmic trading strategies inherently riskier in high-volatility conditions?

Strategies calibrated during low-volatility periods may perform differently in high-VIX environments. Regular review of parameters against current market conditions is prudent for any systematic approach.

Has the JPY safe-haven trade changed permanently?

The Bank of Japan’s policy normalisation has introduced new dynamics, but JPY has continued to strengthen during some risk-off episodes. It may be more conditional on the nature of the shock and the BoJ’s concurrent posture.

What is the best way to set stops on energy CFDs in high-volatility conditions?

There is no universally best method. Many traders reference ATR to calibrate stop distances to prevailing conditions rather than using fixed levels. This does not guarantee exit at the desired price and does not eliminate whipsaw risk.

Volatility has a way of showing up uninvited.

One day the ASX is drifting quietly... and the next, margin requirements rise, stops do not fill where expected, and portfolios open with uncomfortable overnight gaps.

If you have been searching for answers, you are not alone. Some of the most searched questions about volatility among Australian traders relate to margin calls, slippage, overnight gaps, leveraged exchange traded funds (ETFs), and tools such as average true range (ATR).

Here is what is happening.

Why this matters now

Global markets have become more sensitive to interest rates, inflation data, geopolitics and technology-driven flows. When liquidity thins and uncertainty rises, price swings widen. That is volatility.

And volatility doesn’t just affect price direction, it changes how trades are executed, how much capital is required, and how risk behaves beneath the surface.

Translation: Volatility is not just about bigger moves, rather, it’s about faster moves and thinner liquidity - that’s when the mechanics of trading matter most.

Want a real-world volatility case study?

Why did my broker increase margin requirements?

One of the most searched questions about volatility is why margin requirements increase without warning.

When markets become unstable, brokers may increase margin requirements on contracts for difference (CFDs) and other leveraged products. Larger price swings can increase the risk of accounts moving into negative equity thus raising margin requirements reduces available leverage and can help manage exposure during extreme conditions.

What this can mean in practice

-A margin call may occur even if price has not moved significantly.
-Effective leverage can drop quickly.
-Positions may need to be reduced at short notice.

Margin adjustments are typically a response to changing market risk, not a random decision. In highly volatile markets, it is prudent to assume margin settings can change quickly, therefore many traders choose to review position sizes and available buffers in light of that risk.

What is slippage and why didn’t my stop fill at my price?

Another frequently searched topic is slippage.

Slippage can occur when a stop order triggers and is executed at the next available price, the outcome can depend on the order type, market liquidity and gaps. In calm markets, the difference may be small whereas in fast markets, prices can gap beyond the stop level.

Common drivers include

-Major economic or earnings releases.
-Thin liquidity.
-Crowded stop levels.
-Overnight sessions.

Stop-loss orders generally prioritise execution rather than price certainty and during periods of high volatility, this distinction becomes important. Adjusting position size and placing stops with reference to typical price movement may be more effective than simply tightening stops in unstable conditions.

How do I manage overnight gapping on the ASX?

Australia trades while the United States sleeps, and vice versa. This time zone difference is, sadly, one reason overnight gap risk is frequently searched by Australian traders. If US markets fall sharply, the ASX may open lower the following morning, with no opportunity to exit between the close and the open.

Examples of risk-management approaches market traders may use include

-Index hedging using ASX 200 futures or CFDs*.
-Partial hedging during high risk events.
-Reducing exposure ahead of major macro announcements.

Hedging can offset part of a move, but it introduces basis risk as individual stocks may not move in line with the broader index.

There is no perfect protection, only trade-offs between cost, complexity and risk reduction.

^{*CFDs are complex instruments and come with a high risk of losing money due to leverage.}

What are the key risks of leveraged or inverse ETFs in volatile markets?

Leveraged and inverse ETFs are often searched during periods of heightened volatility.

While these products typically reset daily, they aim to deliver a multiple of the index’s daily return, not its long-term return. In a volatile, sideways market, daily compounding can erode value even if the index finishes near its starting level.

This occurs because gains and losses compound asymmetrically. A fall of 10 percent requires a gain of more than 10 percent to recover. When that effect is multiplied daily, outcomes can diverge materially from the underlying index over time.

Such instruments may be used tactically by some market participants. They are generally not designed as long-term hedging tools and understanding their structure is essential before using them in a strategy.

How can ATR be used to inform stop placement?

Average true range (ATR) is a commonly used indicator for measuring volatility.

ATR estimates how much an asset typically moves over a given period, including gaps. Rather than setting a stop at an arbitrary percentage, some traders reference ATR and place stops at a multiple, such as two or three times ATR, to reflect prevailing conditions.

When volatility rises, ATR expands and that can imply wider stops or smaller position sizes if overall risk is to remain constant. The shift is from asking, “How far am I willing to lose?” to asking, “What is a normal move in current conditions?"

Practical considerations in volatile markets

During periods of elevated volatility, traders may consider

• Allowing for the possibility of margin changes

• Sizing positions conservatively if volatility increases

• Recognising that stop-loss orders do not guarantee a specific exit price

• Reviewing exposure ahead of major economic events

• Understanding the daily reset mechanics of leveraged ETFs

• Using volatility measures such as ATR to inform stop placement

• Maintaining adequate cash buffers

Volatility does not reward prediction alone. Preparation and risk awareness may assist traders in understanding potential risks, but outcomes remain unpredictable.

Read: Global volatility and how to trade CFD

What this means for Australian traders

Australian markets face specific structural considerations cpmapred to Asian and US Markets. Overnight gap risk is influenced by US trading hours and resource heavy indices such as the ASX can respond quickly to commodity price movements and data from China. Currency exposure, including AUD and US dollar (USD) moves, can add another layer of variability.

Volatility is not uniform across regions. It behaves differently depending on market structure and liquidity depth.

Frequently asked questions about volatility

What causes sudden spikes in market volatility?
Interest rate decisions, inflation data, geopolitical developments, earnings surprises and liquidity constraints are common triggers.

Why do brokers increase margin during volatile markets?
To reduce leverage exposure and manage risk when price swings widen.

Can stop-loss orders fail during volatility?
They can experience slippage if markets gap beyond the stop level, meaning execution may occur at a worse price than expected. In fast or illiquid markets, this difference can be significant.

Are leveraged ETFs suitable for long term hedging?
They are generally structured for short-term exposure due to daily resets. Whether they are appropriate depends on your objectives, financial situation and risk tolerance.

How can volatility be measured before placing a trade?
Tools such as ATR, implied volatility indicators and historical range analysis can help quantify prevailing conditions.

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^{Risk warning: Periods of heightened volatility can lead to rapid price movements, margin changes and execution at prices different from those expected. Risk-management tools such as stop-loss orders and volatility indicators may assist in assessing market conditions but cannot eliminate the risk of loss, particularly when using leveraged products.}

Markets enter this week facing a dense US data run alongside an early-month APAC growth check. With US equities still relatively elevated and gold holding above US$5,000 as of February 27, near-term price action may be particularly sensitive to any data-driven shift in rates, USD direction, and risk sentiment.

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• US data cluster: ISM Manufacturing, ISM Services and ADP, non-farm payrolls (NFP), and retail sales are all expected this week.
• APAC growth pulse: China official PMI and Japan PMI, Australia GDP, and China Caixin PMI provide a regional activity read.
• Equities: Despite a pause at the end of the week, major US indices remain relatively elevated overall, potentially increasing sensitivity to negative surprises.
• Gold: Has moved back above US$5,000, keeping real yields and risk sentiment in focus.
• Geopolitics: Middle East geopolitics remain a background volatility risk.

United States: growth and payrolls

The US week is shaped by a tight sequence of activity, employment and consumer signals that can quickly shift near-term rate expectations. 

Markets typically take their first cue from manufacturing sentiment, then look to services and private payrolls for a broader read on demand and hiring momentum. 

The focal point is the labour report, with retail sales adding a consumer cross-check in the same window. 

This combination could be relevant for Treasury yields, USD pricing and equity sentiment, especially with indices still sitting at relatively elevated levels.

Key dates

• US ISM Manufacturing PMI: 2:00 am, 3 March (AEDT)
• US ISM Services PMI: 2:00 am, 5 March (AEDT)
• US ADP employment: 12:15 am, 5 March (AEDT)
• US Employment Situation (NFP): 12:30 am, 7 March (AEDT)
• US Advance Monthly Retail Sales (Retail Trade): 12:30 am, 7 March (AEDT)

Monitor

• Treasury yield reactions to ISM and payroll surprises.
• USD sensitivity to rate repricing.
• Equity index performance, particularly within large-cap technology.
• Changes in trade policy, with tariff uncertainty potentially influential.

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APAC: early growth signals

The early-month APAC calendar provides a fast read on whether regional activity is stabilising or softening. 

China’s PMIs (official and Caixin) offer complementary perspectives across state-linked and private-sector firms, while Japan’s PMI can feed directly into JPY sentiment through growth expectations. 

Australia’s GDP adds a broader macro check that can influence local yield pricing and AUD direction. Taken together, this cluster sets the tone for regional risk appetite and could spill over into commodities and base metals.

Key dates

• Japan PMI: 11:30 am, 2 March (AEDT)
• Australia GDP: 11:30 am, 4 March (AEDT)
• China official PMI: 12:30 pm, 4 March (AEDT)
• China Caixin PMI: 12:45 pm, 4 March (AEDT)

Monitor

• AUD and local yield sensitivity around GDP.
• JPY response to PMI data.
• Regional equity and commodity reactions to Chinese activity trends.

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Gold and cross-asset sensitivity

With gold holding above the US$5,000 level, it could be highly reactive to shifts in real yields, USD direction and broader risk appetite. 

Macro surprises that move front-end rates can quickly translate into gold volatility, while geopolitical developments that influence oil and inflation expectations could also amplify moves. 

In practice, gold may act as a real-time barometer of how markets are digesting growth, inflation and policy uncertainty through the week.

Monitor

• US real-yield movements.
• USD direction.
• Equity volatility and safe-haven flows.

Welcome to 2026. Inflation is still sticky, real yields still matter, and markets can reprice fast when policy, geopolitics, and risk sentiment shift. 

With the next RBA decision approaching, the ASX can feel less like a local story and more like a window into the broader macro regime.

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• The next rate decision is about balancing inflation control, growth risks, and how the Australian dollar (AUD) responds to yield differentials and risk sentiment.
• Lenders can act as real-time signals for household and small and medium enterprise (SME) credit conditions as funding costs and competition shift.
• Names like MQG and GMG can be highly sensitive to global liquidity, risk appetite, and changes in discount rates. That can amplify moves when conditions change.

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1. Commonwealth Bank (ASX: CBA)

CBA is often viewed as a bellwether for domestic mortgage and funding conditions. It can react to funding costs and any early hints of arrears pressure, rather than just the “rates up/rates down” trigger.

Traders track the yield curve and bank funding spreads as it’s often the first tell when the story flips from net interest margin (NIM) to credit (bad debts). 

In a higher-for-longer setup, banks may rally first on “better margins” until the market starts pricing credit risk instead. 

In the past, CBA hit record highs in early 2026, up roughly 11% year to date (YTD), before a mid-February pullback amid broader market volatility.

What traders watch

• Broker handling: Every broker call listed is on the bearish side: 4 Sells, 1 Underperform, and 1 Underweight.
• Targets and implied move: Target prices range from A$120 to A$140. Using the “% to reach target” column, that implies a last close of about A$178.68, which equates to roughly 22% to 33% downside versus the targets shown (targets are estimates, often set on a 12-month basis, and are not guarantees).
• Broker tone: Citi stays Sell (“in-line quarter/limited revisions”), while Morgan Stanley argues the hurdle is higher after the stock’s outperformance, as “good” may no longer be good enough.

‍Risks: 2:30 pm (AEDT)  event gaps, sharp reversals, and quick sell-offs when too many traders are on the same side. 

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2. National Australia Bank (ASX: NAB)

NAB is where you look when you’re trying to figure out whether the engine room of the economy is purring or quietly overheating. 

When policy stays tight, lenders can look fine right up until they don’t. Margins can defend, deposit competition can bite, and the comfort line, “defaults are contained”, gets stress-tested by reality. 

NAB tends to trade more like an invoice: what businesses are paying, what they are delaying, and how fast conditions change when confidence turns. 

What traders watch

NAB is up about +15.46% YTD, with the stock recently around A$49. In the latest print, traders are watching how NAB’s A$2.02 billion Q1 cash profit shows resilience even as expense inflation starts to creep in. 

• Broker handling: Mixed but skewed cautious. 3 Sells (Morgans, Citi, Ord Minnett), 1 Equal-weight (Morgan Stanley), 1 Outperform (Macquarie), 1 Buy (UBS).

• Targets and implied move: Targets run from A$35.00 to A$50.50, and the implied last price is about A$49.10, so most targets sit below the market, with UBS as the modest upside call.
• Broker tone: UBS is the lone Buy with a A$50.50 target (about +2.85%). Macquarie is Outperform, but its A$47.00 target is still below the implied last. Citi, Morgans and Ord Minnett stay Sell, with targets clustered A$35.00 to A$39.25. Morgan Stanley sits Equal-weight at A$43.50.

‍Risks: margin squeeze from deposit competition, a turn in business credit quality, and fast repricing if “contained defaults” stops being credible.

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3. Macquarie Group (ASX: MQG)

Macquarie is what you get when you blend markets, asset management, deal-making, and a global appetite for volatility... and then you hand it a very expensive suit. 

Macquarie doesn’t just listen to the RBA; it listens to the entire room. Global rates, risk appetite, and market plumbing often matter as much as anything said in Martin Place.

What traders watch

While Macquarie is about +1.93% since Jan 1, traders are watching global yields, volatility regime shifts, plus any read-through to deal flow and trading conditions.

• Broker handling: The table shows a mostly supportive mix, with no outright sells.
• Targets and implied move: The implied last price is about A$207.12. The average target across the brokers shown is about A$229.70 (around +10.9%), with targets ranging A$210.00 to A$255.00.
• Broker tone: Ord Minnett and UBS sit at Buy, Citi is Neutral, Morgans is Hold, and Morgan Stanley is Equal-weight. Supportive, but not unanimous.

‍Risks: liquidity shocks, volatility “air pockets,” and a fast downgrade cycle if global conditions sour.

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4. QBE Insurance Group (ASX: QBE)

Insurers can look unusually “clean” in higher-rate regimes because their float finally earns something again. When yields rise, investment income can start doing real work and can offset a lot… until the world reminds everyone why insurance exists in the first place.

QBE is a tug-of-war between higher rates helping the portfolio and catastrophe risk plus claims inflation trying to take it back with interest.

What traders watch

QBE is about +10.06% since Jan 1, and in the latest print, traders are watching investment yield trends, catastrophe loss headlines, and any sign that the pricing cycle is cooling.

• Broker handling: The broker calls shown lean positive: Outperform (Macquarie), Buy (Citi, UBS), Overweight (Morgan Stanley), plus two upgrades to Buy from Hold (Ord Minnett, Bell Potter).
• Targets and implied move: The table implies a last price around A$21.89. Targets range from A$21.80 to A$26.00. The average target across the brokers shown is about A$24.06 (around +9.9%).
• Broker tone: Ord Minnett has the highest target at A$26.00 (about +18.78%). Bell Potter is also shown as an upgrade to Buy, but with a target fractionally below the implied last (-0.41%).

Risks: major catastrophe events, claims inflation and the market pricing “peak rates” too early.

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5. Goodman Group (ASX: GMG)

Goodman Group is where the rate story meets the valuation story. When yields rise, long-duration equities get repriced as the discount rate stops being theoretical. 

GMG can still execute operationally, but the stock often trades like a referendum on the cost of capital, cap rates, and whether the market thinks the future is getting cheaper or more expensive.

What traders watch

GMG is about +2.86% YTD with traders watching 10-year yields, cap rate chatter, funding conditions, and data-centre narrative momentum.

• Broker handling: The broker calls shown skew positive, with no sells. 3 Buys (Bell Potter, Citi, UBS), plus Accumulate (Morgans), Outperform (Macquarie), Overweight (Morgan Stanley), and 1 Hold (Ord Minnett).
• Targets and implied move: Targets range from A$31.25 to A$41.50. The implied last close is about A$28.42, and the simple average target in the table is about A$36.35 (around +27.9% above the implied last close).
• Broker tone: Morgan Stanley is the most bullish on target price at A$41.50 (+46.02%). Citi is also constructive at Buy with A$40.00 (+40.75%). Ord Minnett is the cautious outlier at Hold with A$31.25 (+9.96%).

‍Risks: valuation compression if yields rise, refinancing narratives, and cap rate repricing.

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6. JB Hi-Fi (ASX: JBH)

JB Hi-Fi tends to move with the mood of the household budget. When the consumer is steady, and promotions stay manageable, the story can look simple. 

When spending tightens and discounting ramps up, the market quickly shifts to margin risk and guidance risk.

What traders watch

 As JB Hi-Fi is about -12.64% since Jan 1, traders are keenly watching sales momentum vs consumer confidence, promo intensity, and margin resilience.

• Broker handling: The mix is constructive overall, but not unanimous. The table shows 2 Buys (Citi, Bell Potter) plus 1 Upgrade to Buy from Neutral (UBS), 1 Outperform (Macquarie), 1 Upgrade to Hold from Trim (Morgans), and two more cautious calls, Underweight (Morgan Stanley) and Lighten (Ord Minnett).
• Targets and implied move: Targets range from A$72.90 to A$119, with the implied last close about A$84.06. The simple average target in the table is about A$96.56 (around +14.9% above the implied last close).
• Broker tone: Bell Potter is the most bullish on target price at A$119.00 (+41.57%). Macquarie is also positive at Outperform with A$106.00 (+26.10%). On the cautious side, Morgan Stanley is Underweight with A$72.90 (-13.28%). The latest change notes in the table show UBS upgraded to Buy from Neutral and Morgans upgraded to Hold from Trim (both dated 17/02/2026).

‍Risks: unemployment surprises, margin damage from discounting, and fast sentiment reversals around consumer data.

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7. Judo Capital (ASX: JDO)

Judo Capital is the cleanest expression of “small and medium enterprise (SME) credit plus funding competition” you can put on a screen. 

It is a focused lender, a floating-rate loan book, and growth that looks heroic right up until funding costs and defaults decide to start a conversation at the same time. 

In an RBA-sensitive tape, Judo can move like a thesis you cannot pause. Spreads, deposits, credit quality, and sentiment all reprice in real time.

What traders watch

Judo is down about -0.58% since Jan 1, meaning traders are watching net interest margin (NIM) versus deposit competition, SME arrears and default signals, and any shift in funding pressure. 

• Broker handling: The calls shown are all positive. Morgans is Accumulate (noted as a downgrade from Buy). Macquarie is Outperform. Morgan Stanley is Overweight. UBS, Ord Minnett, and Citi are all Buy.
• Targets and implied move: Targets range from A$2.05 to A$2.40, the implied last close is about A$1.72. The simple average target in the table is about A$2.19 (around +27% above the implied last close).
• Broker tone: Ord Minnett is the most bullish on target price at A$2.40 (+39.53%). UBS is Buy at A$2.25 (+30.81%). Morgan Stanley is Overweight at A$2.20 (+27.91%). Citi is Buy at A$2.15 (+25.00%). Morgans sits at A$2.09 (+21.51%) after the downgrade to Accumulate. Macquarie is Outperform at A$2.05 (+19.19%).

‍Risks: SME credit turns quickly in a slowdown, and funding competition can squeeze spreads faster than loan yields reprice.

March sets up as a “repricing month” for US assets. The FOMC meeting is the centre point, with CME FedWatch showing a pause as the dominant baseline. Markets could become more sensitive to surprises in such circumstances, especially prints that alter the perceived balance between sticky inflation and slowing demand.

Rates and policy

Key dates

• FOMC meeting (two-day): 18–19 March (AEDT).
• Fed decision (FOMC statement): 5:00 am, 19 March (AEDT).
• Fed press conference: 5:30 am, 19 March (AEDT).

What markets look for

Even if rates are left unchanged, the decision can still move markets through updated projections, the policy statement, and the Chair’s guidance. 

With a pause largely priced, attention shifts away from “move vs no move” and toward whether the Fed’s messaging validates the current rate path or nudges expectations toward a higher-for-longer stance or earlier easing. 

Any change in the balance of risks (inflation vs growth/financial conditions) can drive a repricing in front-end rates, USD, and equity multiples.

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Inflation and the link to FedWatch pricing

Key dates

• Consumer Price Index (CPI): 11:30 pm, 11 March (AEDT).
• Personal Income & Outlays/ PCE (January PCE): 11:30 pm, 13 March (AEDT).

What markets look for

When markets are anchored around a pause, inflation can become a key swing factor for the expected path of policy. 

A firmer inflation profile can push the implied rate track higher and tighten financial conditions, while softer prints can reinforce the pause narrative and pull forward cut expectations. 

Inflation data that arrives ahead of the policy decision tends to have greater influence on immediate repricing, while the later inflation/consumption pulse can shape end-of-month positioning and the market’s confidence in the disinflation trend.

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Jobs data: the next test of rate expectations

Key dates

• ISM Manufacturing PMI: 2:00 am, 3 March (AEDT).
• ISM Services PMI: 2:00 am, 5 March (AEDT).

What markets look for

Payrolls, unemployment and wage signals can reset the tone for yields, USD and equities ahead of the major inflation and policy catalysts. 

In practice, surprises often show up first in front-end rates and rate volatility, then filter into broader risk sentiment and equity pricing, especially if the data challenges assumptions about cooling demand and easing wage pressure.

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Equities, tariffs and geopolitics

What markets look for

US indices remain highly sensitive to the rate narrative. The S&P 500 Index (SPX) and Nasdaq 100 Index (NDX) have traded at relatively elevated levels in recent weeks, with the VIX providing a read on implied volatility conditions. 

Beyond the data calendar, the tail-end of earnings season may still generate stock-specific volatility. Tariffs and trade policy also remain a live macro risk, with official guidance for importers able to affect costs, margins and sector sentiment.  

The US Supreme Court has also held that IEEPA does not authorise the imposition of tariffs under that statute.  That may add uncertainty around the legal footing of Trump's tariffs.

On the geopolitical front, renewed Middle East tensions have coincided with firmer crude pricing, which may influence inflation expectations and risk appetite around CPI and Fed week (among other drivers). 

The global initial public offering (IPO) market saw a resurgence in 2025. Proceeds increased 39% to US$171.8 billion across 1,293 listings, the sharpest annual rebound since the post-pandemic boom. 

That momentum is now building into 2026 for what some financial analysts speculate could be the biggest IPO year in history.

A handful of mega-cap private companies, including SpaceX, OpenAI, and Anthropic, are exploring going public this year, with combined valuations that could exceed US$3 trillion.

2025 IPO market data

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Top IPO candidates in 2026

1. SpaceX - US$1.5T valuation

SpaceX revenue reportedly hit US$15 billion in 2025, with analysts projecting an increase to US$22-24 billion in 2026. The company has been cash-flow positive for years, driven largely by its Starlink satellite broadband network.

Following its February 2026 all-stock acquisition of Elon Musk's AI company xAI, the combined entity also encompasses Grok AI and the social media platform X (Twitter).

Leading financial analysts have reported SpaceX is targeting a mid-2026 listing. Its next funding round is estimated to raise around US$50 billion, putting its initial market cap at US$1.5 trillion, which would make it the second-highest IPO valuation of all time. 

This valuation would mean SpaceX would trade at 62–68 times projected 2026 sales. A steep premium that requires massive growth assumptions around Starlink and longer-term space-based AI ambitions.

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2. OpenAI - US$850B valuation

OpenAI, the company behind ChatGPT, now reports more than 800 million weekly active users of its groundbreaking AI product. 

Originally a nonprofit research lab, it has restructured into a for-profit entity developing large language models for consumer, enterprise, and developer applications.

OpenAI is reportedly targeting a Q4 2026 IPO, finalising a US$100 billion-plus funding round (its largest ever), which would put its valuation at US$850 billion. 

However, OpenAI still needs to overcome some near-term hurdles to achieve the potential associated with such a high valuation. 

It projects US$14 billion in losses in 2026 and does not expect profitability before 2029. It is facing intensified competition from Google Gemini and other AI startups cutting into its market share, and Elon Musk has filed a lawsuit against the company seeking up to US$134 billion in damages. 

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3. Anthropic - US$350B valuation

While OpenAI has leaned into consumer products, Anthropic has built its business around enterprise adoption. Roughly 80% of its revenue comes from business customers, and eight of the Fortune 10 are now Claude users.

Anthropic closed a US$30 billion funding round in February 2026 at a US$350 billion valuation, more than double its US$183 billion valuation from five months earlier. 

Anthropic’s annualised revenue has been growing at 10x per year since 2024, well outpacing OpenAI’s growth of 3.4x per year. If this trend continues, Anthropic revenue could pass OpenAI by mid-2026. However, since July 2025, Anthropic’s growth rate has slowed down to 7x per year.

Anthropic has engaged law firm Wilson Sonsini to begin IPO preparations, and the recent appointment of former Microsoft CFO Chris Liddell to its board signals a governance push ahead of a potential late-2026 listing.

The company is not yet profitable, but its enterprise-heavy revenue mix and rapid growth trajectory make it one of the most closely watched IPO candidates this year.

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4. Stripe - US$140B valuation

Stripe processed US$1.4 trillion in total payment volume in 2024, roughly 1.3% of global GDP. Half the Fortune 100 now use Stripe, and recent moves into stablecoins and AI-to-AI "agentic commerce" payments are expanding its addressable market.

Stripe remains one of the most anticipated fintech IPOs globally, but the company has shown a lack of urgency to list in the past. Co-founder John Collison said at Davos in January 2026 that Stripe was "still not in any rush." 

Rather than pursuing an IPO, Stripe has conducted tender offers every six months at rising valuations, providing employee liquidity without surrendering control. 

These frequent tenders effectively function as a private-market alternative to going public. However, a traditional IPO is still on the cards in 2026, with the company's February tender offer valuing it at US$140 billion or more, and profitability since 2024 removing one of the key barriers to listing.

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5. Databricks - US$134B valuation

Databricks completed a US$5 billion funding round in February 2026 at a US$134 billion valuation. 

The company's annualised revenue exceeded US$5.4 billion in January 2026, growing a massive 65% year-on-year, with AI products generating US$1.4 billion. 

CEO Ali Ghodsi has said the company is prepared to go public "when the time is right," with most analysts expecting a H2 2026 listing. At US$134 billion, Databricks is valued at more than twice publicly traded rival Snowflake (~US$58 billion).

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Bottom line

2026 has the potential to be the biggest IPO year by valuation in history. With the most likely candidates, SpaceX and Databricks, matching the total valuation of all 2025 IPOs on their own.

If major AI players like OpenAI and Anthropic, as well as world-leading payment fintech Stripe, also list before the end of the year, 2026 could see over US$3 trillion in total value added to global markets through IPOs alone.