Thinking in Markets

Michelle and Vox unpack why Japan’s industrial production month-over-month series looks so jagged, and why that does not make it useless. By the end, listeners will understand how seasonal adjustment, sector swings, revisions, and cross-checks with PMIs and exports can turn a noisy print into a more usable market signal.

Michelle and Vox unpack what the RBA's March 2026 5–4 rate hike really means. Listeners will learn how to read a divided central bank, why an oil shock made the inflation problem harder, and why the minutes can change the market story after decision day.

Michelle and Vox unpack a simple but important lesson from options markets: implied volatility is better read as a range of expected movement than as a directional forecast. By the end, listeners will understand expected move, realized volatility, and why traders use volatility more to size risk and choose a regime than to guess whether price goes up or down.

Michelle and Vox use Asia Vital Components as a case study to explain a quieter investing lesson inside the AI boom. By the end, listeners will understand why cooling, power density, and physical bottlenecks can matter as much as chips, and why some of the most important AI winners may sit deeper in the supply chain.

Michelle and Vox unpack a quiet market lesson: a portfolio manager can cut a strong company without deciding the business is broken. Using the contrast between Novo Nordisk, Broadcom, and Lumentum, they explain how business quality, valuation, market regime, and narrative duration can pull investors in very different directions.

Michelle and Vox connect two ideas that often get discussed separately: stablecoins and AI agents. By the end, listeners will understand why stablecoins matter less as another crypto asset and more as programmable payment infrastructure, what problem that solves beyond old digital wallets, and where the real investment implications may sit.

Michelle and Vox unpack a quiet trap in risk thinking: volatility can often be scaled across time with simple rules, but drawdown cannot. By the end, listeners will understand why a strategy can look orderly on paper, then still become dangerous once path dependence, leverage, and loss clustering enter the picture.

Michelle and Vox unpack how digital markets amplify old psychological biases through speed, visibility, and social pressure. By the end, listeners will have a cleaner way to think about Buffett-style discipline, Michael Burry's warning, and why virality is not the same thing as value.

Professional forecasters often get treated as if they speak with one voice. In this episode, Michelle and Vox unpack what Blue Chip forecasts really are, why the average forecast can still be useful even when experts disagree widely, and how retail investors should read consensus, dispersion, and historical forecast error together.

Some market contracts do not ask where price ends. They ask whether price ever touches a level before a deadline. Michelle and Vox unpack why that makes these bets different from ordinary options, why short-horizon versions can be trickier than they look, and where they may still fit inside a broader trading strategy.

Gold is supposed to struggle when real yields stay high, yet 2025 gave investors a very different picture. Michelle and Vox unpack why gold and silver can keep rising when the usual macro signal stops doing most of the explaining, and what that means for portfolio thinking.

Gold can look like a hedge, a trade, a bubble, or a dead asset, depending on who is looking at it. Michelle and Vox use Warren Buffett, Ray Dalio, Stanley Druckenmiller, and George Soros to show how the same metal fits very different investing frameworks, and why retail investors often confuse them.

A violent crypto rebound can feel like relief, but relief is not always repair. Michelle and Vox unpack the difference between forced liquidation, short squeezes, and the slower loss of conviction that can pull BTC, ETH, and especially altcoins back toward trouble even after a sharp bounce.

Gold gets a great deal of attention when markets feel uneasy, but large U.S. pension funds usually keep it at the edge of the portfolio. Michelle and Vox unpack why liabilities, cash flow needs, governance, and portfolio construction make gold and especially silver a much smaller institutional bet than many retail investors expect.

Michelle and Vox unpack a tariff debate that sounds simple but usually is not. By the end, listeners will understand why the share of a tariff paid through higher U.S. prices is not the same thing as the full economic cost once import volumes, exemptions, and supply-chain shifts enter the picture.

A weak payroll number can make the labor market look worse than it is, or at least different from what many listeners think it measures. Michelle and Vox unpack the February 2026 U.S. jobs report to show why payrolls, participation, and wages can move in ways that seem contradictory when they are really counting different things.

A private loan marked to zero sounds final, but the real investing question is who actually takes the loss and how the fund wrapper handles stress. Michelle and Vox use the recent private-credit turmoil around BlackRock, Blackstone, Apollo, and listed lending vehicles to explain valuation marks, redemption caps, and why liquidity terms matter as much as yield.

Customer service is where agentic AI looks most real, but the labor story is less dramatic than the sales pitch. Michelle and Vox unpack why routine tickets can disappear fast while headcount, trust, and complex cases move much more slowly, and what investors should watch in software, BPOs, and service-heavy businesses.

AI still gets discussed as if the model is the whole business. Michelle and Vox take a quieter view and explain why workflow, private data, and control may become the real source of value, and why that matters for investors over the next few years.

A large Fed balance sheet can make financing feel easier in markets without making small-business credit easier on the ground. Michelle and Vox unpack reserves, asset prices, and bank lending so retail investors can see why Wall Street and Main Street do not respond to policy in the same way.

Michelle and Vox unpack why the Fed’s dot plot is useful, why markets still overread it, and why critics like Kevin Warsh see it as a communication risk. By the end, listeners will have a cleaner way to read individual rate projections without mistaking them for a fixed policy plan.

Michelle and Vox unpack a part of Fed policy that sounds technical but matters a lot in practice: why the central bank cannot safely reduce reserves unless banks also need fewer of them. By the end, listeners will understand reserve demand, why banks still want reserves even when they prefer profits, and why this is different from liquidity in capital markets.

Michelle and Vox unpack a balance-sheet line that looks technical but teaches a useful investing lesson. By the end, listeners will understand what TIPS inflation compensation is, why the Fed holds it, and why a rising line on the Fed’s balance sheet does not automatically mean new bond buying.

In this episode of Thinking in Markets, Michelle and Vox unpack a confusion many retail investors run into with inflation headlines: the same PCE report can look cooler in one line and stubborn in another. Using the split between headline PCE and core PCE, they explain what the report actually includes, why energy can move the market without settling the deeper inflation trend, and how to read the...

Liquidity sounds simple until markets turn unstable. Michelle and Vox unpack what liquidity really means in capital markets, why tight spreads do not always mean true safety, and how trading liquidity and funding liquidity can diverge when investors need them most.