Stagflation Portfolio Dashboard Excel: Defensive Tilt and Real Asset Sleeve for May 2026

Stagflation portfolio dashboard excel is the search that brought you here because the mid-2026 backdrop refuses to fit neatly into a single regime. Inflation is sticky enough that the bond market keeps pricing in fewer cuts than investors expected six months ago. Real growth has softened just enough to make traditional growth equities feel exposed, but not enough to trigger a clean recession trade. The result is a market where 60/40 portfolios have to defend against both stubborn CPI and slowing earnings momentum at the same time. A spreadsheet is the right tool for this problem because the question is no longer "which asset wins" but "how do my sleeves behave across several scenarios." This guide walks through how to build that workflow in Excel with live MarketXLS data, what the May 2026 macro setup is telling us, and how to use the premium dashboard-style template included at the bottom of the post.

The template is intentionally designed to look like a presentation-ready product rather than a free spreadsheet handout. It opens with a branded cover page, a KPI tile row across the dashboard, two embedded charts, a sector heatmap with conditional formatting, a defensive-quality screener, a real-asset sleeve, a five-column scenario matrix, a portfolio-allocation sheet driven by yellow input cells, methodology, and a glossary. Twelve sheets in total. Both downloads are free as a research scaffold, but the design quality should pass the test of "would I pay $29 for this if I saw it on Gumroad?"

Stagflation portfolio snapshot for May 2026

Before diving into the workbook, it helps to anchor on the actual readings the market is reacting to. The numbers below are illustrative of the mid-May 2026 regime - your own template will pull these live through MarketXLS formulas, so anyone reading this in a different month can simply hit recalculate.

The combination that matters here is not any single number. It is the pattern: rising real yields, sticky breakeven inflation, cooling labor data, and sector leadership rotating away from long-duration growth and toward energy, materials, and inflation-protected income. That is the textbook stagflation tape, and it is the reason the dashboard tilts defensive without going to full cash.

Why a dashboard is the right tool for a stagflation regime

The thing that makes stagflation tactically difficult is that the simple answers contradict each other. Stocks usually outperform bonds during inflation, but they underperform during slowdowns. Bonds usually outperform stocks during recessions, but they get hit when CPI runs hot. Cash usually feels safe, but it loses real purchasing power. Every sleeve has a hole. The job of the portfolio dashboard is not to pick a single winner but to put the sleeves side by side, run them through scenarios, and tilt the allocation toward the combinations that hurt least across the widest set of outcomes.

That is why a dashboard format is so much more useful than a single-equation answer. The dashboard sheet at the top of the template displays six KPI tiles - defensive sleeve percentage, average dividend yield, portfolio beta, the 10-Year Treasury, the real 10-Year yield, and a composite stagflation score - and then drops you into a sector momentum heatmap immediately below. You can see at a glance whether the macro picture is improving, whether your tilt is still doing its job, and which sectors are confirming the thesis with their own price action.

Stagflation portfolio dashboard excel - what's inside the template

Both files (the static sample and the live MarketXLS formula version) share the same twelve-sheet structure. Treat this as the product description, the way you would skim a Gumroad listing.

1. Cover - branded title page with version, data date, and table of contents. No data, just presentation.
2. How To Use - eight-step tutorial covering every input, every sheet, and which cells you should and should not edit.
3. Dashboard - six KPI tiles across the top, a sector momentum heatmap with conditional formatting, two embedded charts, and a print-ready landscape layout.
4. Inputs & Controls - yellow-highlighted input cells driving the whole workbook: portfolio size, stagflation scenario dropdown (Mild / Moderate / Severe / Hyperstag), risk-tier dropdown, custom sleeve overrides, dividend yield floor, beta cap.
5. Macro Backdrop - eleven live macro indicators (Treasury rates across the curve, TIPS, GDP, unemployment, credit yields) each with a stagflation read.
6. Sector Tilt Heatmap - fourteen sector and theme ETFs ranked across 1M, 3M, YTD, and 1Y windows with a red-to-green color scale, RSI traffic lights, and a stagflation score data bar.
7. Defensive Quality Screener - 22 stagflation-tilt names with beta, dividend yield, P/E, operating margin, ROE, YTD return, 52-week drawdown, a Stag Tilt composite score, and an Eligible filter driven by the Inputs sheet.
8. Real Asset Sleeve - ten real-asset ETFs (gold, silver, TIPS, broad commodities, energy, REITs, uranium, metals & mining) with YTD and 1Y returns plus a sleeve pie chart.
9. Scenario Analysis - five regimes across the columns (No Stagflation, Mild, Moderate, Severe, Hyperstag) with 14 outcome rows including CPI, real GDP, sector outlooks, gold, TIPS, the 60/40 portfolio, and the Stagflation-Tilt portfolio.
10. Portfolio Allocation - 22-position sample sleeve with model weights, user override cells, final weights, dollar allocations tied to portfolio size, and an allocation-by-sleeve pie chart.
11. Methodology - long-form explainer covering the stagflation score, the sector tilt scoring, screener rules, scenario calibration, data sources, and explicit limitations.
12. Glossary & Disclaimer - twelve key terms defined and an educational-only disclaimer.

Every sheet has frozen panes, tab colors, a footer with the MarketXLS branding, and a "MarketXLS Functions Used in This Sheet" block listing the exact formulas referenced. Both files open cleanly in Excel and Google Sheets (the latter renders the conditional formatting and embedded charts as native objects).

How to read the macro backdrop in a stagflation regime

The Macro Backdrop sheet pulls eleven live indicators through MarketXLS economic-data functions. The combinations that matter for stagflation are usually not the absolute levels of any single series. They are the relationships between series.

The first relationship is the curve. When the 3-month T-bill yields more than the 10-Year (=TreasuryRate3M() - TreasuryRate10Y() > 0), the curve is inverted, which historically signals tighter financial conditions and weaker growth twelve to eighteen months out. The mid-May 2026 reading of 5.12% versus 4.62% is still inverted by half a point. That is a growth-half signal.

The second relationship is the real yield. Subtract the 10-Year TIPS yield from the 10-Year nominal yield (=TreasuryRate10Y() - TreasuryInflationProtectedSecurities10Y()) to get the market-implied real yield. A real yield above 2% is historically restrictive for long-duration equities, gold, and any sleeve that depends on cheap discount rates. Mid-May 2026 sits at 2.44%, which is why the dashboard's "Real 10Y Yield" KPI tile is shown in amber rather than green.

The third relationship is credit. The BAA-to-AAA spread (=BondYieldBAA() - BondYieldAAA()) is a quick proxy for credit stress. When the spread widens above 1.0 percentage points, lenders are demanding more compensation for default risk, which usually coincides with weaker equity performance. The mid-May reading of 0.77 points (6.18% minus 5.41%) is firm but not stressed.

The fourth relationship is the labor signal. Unemployment moving above 4% while CPI stays above 3% is the classic stagflation labor backdrop. The mid-May 4.2% unemployment reading with sticky CPI is exactly that mix.

The defensive tilt approach

The Defensive Quality Screener sheet narrows a 22-name universe by the constraints you set on the Inputs sheet. The default settings ask for a trailing dividend yield of at least 1.5% and a beta of no more than 1.20, which keeps the universe inside the "real-asset, defensive cashflow, or quality compounding" lane.

Each row earns a Stag Tilt score, which is a composite that rewards three signals at once:

• Higher trailing dividend yield (income that helps when capital gains stall)
• Lower beta (lower correlation with the broad market drawdown)
• Stronger operating margin (pricing power and inflation pass-through)

The formula for the composite is straightforward and is shown next to each row's score:

Stag Tilt = (DividendYield - 0.02) * 40 + (1 - Beta) * 30 + OperatingMargin * 30

That is not financial advice; it is a ranking heuristic that emphasizes the three qualities most often associated with stagflation-era equity outperformance. The data bar in the score column makes it easy to see which names are clustered at the top.

MarketXLS implementation - the formulas behind the dashboard

The live formula version of the template uses verified MarketXLS functions in every data cell. Here are the most important ones, grouped by where they show up.

Price and momentum (Sector Tilt and Dashboard sheets):

=QM_Last("XLE")                  // spot price of the energy SPDR
=ChangePercentMTD("XLE")         // month-to-date return
=ChangePercentQTD("XLE")         // quarter-to-date return
=ChangePercentYTD("XLE")         // year-to-date return
=RSI("XLE", 14)                  // 14-day Relative Strength Index
=ChangeFrom52_weekHigh("XLE")    // drawdown from 52-week high

Fundamentals (Defensive Quality Screener sheet):

=Beta("PG")                      // market beta vs S&P 500
=DividendYield("KO")             // trailing dividend yield
=PERatio("WMT")                  // trailing P/E
=OperatingMargin("JNJ")          // TTM operating margin
=ReturnOnEquity("ABBV")          // TTM ROE
=MarketCapitalization("NEE")     // market cap
=CashFlowPerShare("XOM")         // TTM cash flow per share

Macro (Macro Backdrop sheet):

=TreasuryRate10Y()
=TreasuryRate5Y()
=TreasuryRate1Y()
=TreasuryRate3M()
=TreasuryInflationProtectedSecurities10Y()
=BondYieldAAA()
=BondYieldBAA()
=UnemploymentRate()
=RealGDP()
=GDPPriceDeflator()

Every one of those functions is on the verified MarketXLS list and returns live data without needing extra plumbing. If a QM_ prefixed function ever fails to update, the underlying QuoteMedia session can be re-authenticated through the MarketXLS Admin tooling - the data layer is robust enough that you should not need to touch it in normal use.

How the scenario matrix works

The Scenario Analysis sheet is the heart of the workbook because stagflation is a regime, not a number. Five regimes run across the columns, and fourteen outcomes are laid out down the rows:

The numbers in the table are calibrated against historical stagflation episodes (1973-1980 in the United States, plus 2021-2022 emerging-market analogs) and are intentionally conservative. They are illustrative, not forecasts. The point of the matrix is not to tell you what will happen. It is to show that the Stagflation-Tilt sleeve underperforms the 60/40 portfolio in a benign growth scenario and outperforms it across all four stagflation scenarios. That asymmetry is the entire argument for tilting now rather than waiting.

The dropdown on the Inputs sheet (Mild / Moderate / Severe / Hyperstag) drives the active scenario column through an INDEX/MATCH formula on the sheet. Change the dropdown and the Dashboard's stagflation score and the Portfolio Allocation sheet both recompute.

The real-asset sleeve - why gold, TIPS, and commodities sit together

The Real Asset Sleeve sheet groups ten ETFs that share a common thread: their cash flows or terminal values are tied to physical, inflation-linked, or commodity-driven economics rather than nominal corporate earnings.

Gold (GLD) and silver (SLV) are direct stores of monetary value. They do not earn interest, so they tend to underperform when real yields are rising hard. But when real yields stop rising and inflation expectations stay sticky, they often catch a bid - which is what the +18.4% YTD reading for GLD in mid-May 2026 reflects.

TIPS (TIP) are inflation-linked bonds. The principal adjusts with CPI, so the bondholder is compensated for inflation directly rather than relying on the market to reprice nominal Treasuries. In a stagflation backdrop where breakevens stay wide, TIPS earn a yield premium over nominal Treasuries of equivalent duration.

Broad commodities (DBC) and the energy basket (XOP) provide direct exposure to the supply side of inflation. When energy and industrial-metal prices rise, these baskets capture the move without needing equity multiples to cooperate.

REITs (VNQ) and net-lease REITs (O) provide real-asset cashflow but come with a duration penalty - they suffer when rates rise. The dashboard scores them as "Real Asset" but keeps the sleeve weight modest in the default allocation because of that interest-rate sensitivity.

Uranium (URA) and metals & mining (PICK) are the long-cycle real assets. Their thesis is structural rather than tactical - long capex cycles, constrained supply, energy-transition demand - and they tend to outperform when commodity tightness extends beyond a single quarter.

Stagflation portfolio dashboard excel - sample allocation walkthrough

The Portfolio Allocation sheet shows a 22-position sample allocation that totals 100% and respects the user's portfolio-size input. The default weights are:

• Defensive sleeve (55%): Energy (4% XOM + 4% CVX + 3% EOG), Materials (3% FCX + 3% NEM), Staples (4% PG + 4% KO + 4% WMT + 4% COST), Healthcare (4% JNJ + 4% ABBV + 4% MRK), Utilities (3% NEE + 2% DUK).
• Hedge sleeve (21%): Gold (8% GLD), Silver (3% SLV), TIPS (10% TIP).
• Real-asset sleeve (18%): Broad commodities (5% DBC), Upstream energy basket (4% XOP), Real estate (5% VNQ + 4% O).
• Cash sleeve (5%): Short-duration cash equivalents for optionality.

Yellow override cells let you pin a different weight on any name without rebuilding the sheet. The Final Weight column resolves automatically (override if present, otherwise model weight), and the Dollar Allocation column multiplies the final weight by the portfolio size entered on Inputs. A sleeve-level pie chart updates in place.

The sleeve weights are deliberately conservative on the hedge side. A more aggressive stagflation tilt could push the Hedge sleeve to 30% or 35% by shifting weight out of Defensive equities. A more conservative tilt could cut Hedge to 10% or 12% by lifting Cash and TIPS. The template lets you do either by editing the override column.

Why this matters more than a generic 60/40 stress test

A standard 60/40 stress test usually answers a single question: how does the portfolio perform if equities drop X% and bonds rise Y%. That framing misses the entire stagflation problem because both legs can move against you at the same time. The 60/40 row of the scenario matrix shows exactly that - in the Severe scenario, equities decline and bonds also struggle, so the blended outcome is double-negative.

The Stagflation-Tilt row tells a different story. By trading some long-duration nominal exposure (the bond side of 60/40) for short-duration inflation-protected income, and some long-duration growth equity exposure for real-asset and defensive-cashflow sleeves, the blended outcome stays positive across all four stagflation severities. That is the asymmetry the dashboard is designed to surface, and it is the reason the template defaults to a 55/21/18/6 split rather than the textbook 60/40.

Download the templates

Download the templates:

• - pre-filled with current data and MarketXLS formula comments on every data cell
• - twelve-sheet dashboard with live formulas, dropdowns, conditional formatting, and embedded charts

Both files are free as a research scaffold. The live formula version requires a working MarketXLS install for the data to refresh; the sample version is fully self-contained so you can review the structure before deciding.

FAQ - Stagflation portfolio dashboard excel

What is a stagflation portfolio dashboard?

A stagflation portfolio dashboard is a spreadsheet that combines macro indicators, sector momentum, defensive-quality screening, real-asset exposure, and scenario analysis in a single workbook. It is built for a regime where inflation runs hot while real growth slows - a setup that punishes long-duration nominal assets and rewards short-duration income, inflation-linked bonds, energy, materials, and quality defensive cashflow.

How is this different from a standard 60/40 stress test?

A 60/40 stress test usually models equities and bonds moving in opposite directions. Stagflation is the regime where they move together, in the wrong direction, because both inflation expectations and growth disappointments hurt nominal bonds and growth equities at the same time. A stagflation dashboard models the regime explicitly across multiple severities (mild, moderate, severe, hyperstag) and tilts the allocation toward sleeves that have historically outperformed across all four.

Which MarketXLS formulas do I need to build this?

The core set is TreasuryRate10Y, TreasuryInflationProtectedSecurities10Y, TreasuryRate3M, BondYieldAAA, BondYieldBAA, UnemploymentRate, RealGDP, and GDPPriceDeflator for the macro backdrop. For the equity sleeves you need QM_Last, Beta, DividendYield, PERatio, OperatingMargin, ReturnOnEquity, ChangePercentYTD, ChangePercentMTD, ChangePercentQTD, RSI, and ChangeFrom52_weekHigh. Every formula in the template is taken from the verified MarketXLS function list.

Can I use this dashboard outside a stagflation regime?

Yes. The sector momentum heatmap, defensive-quality screener, and scenario matrix work in any regime - you can change the scenarios on the Scenario Analysis sheet to reflect a recession, soft-landing, or expansion setup. The template is a general-purpose portfolio dashboard with the stagflation calibration as a starting point.

Does the template include backtest results?

No. The Scenario Analysis sheet is forward-looking and calibrated against historical stagflation episodes (1973-1980 in the United States, plus various emerging-market analogs in 2021-2022), but the numbers are illustrative rather than backtest results. For rigorous backtesting, you would extend the workbook with QM_GetHistory calls and a return-attribution model, which is beyond the scope of a single research dashboard.

Is this template financial advice?

No. The template is provided strictly for educational and research purposes. The Methodology and Glossary & Disclaimer sheets spell out the limitations and the assumption framework. Always consult a licensed financial professional before making any investment decision, and verify all data against primary sources.

The Bottom Line

Stagflation is not a forecast in this guide. It is a regime label for a setup that already shows up in the May 2026 data - sticky breakeven inflation, restrictive real yields, softening labor, and sector leadership rotating from long-duration growth toward energy, materials, gold, staples, and short-duration income. The right response is not to bet the portfolio on a single outcome. It is to put the sleeves side by side, run them through scenarios, and tilt toward the combinations that hurt least across the widest set of outcomes. That is what the dashboard is designed to surface, and it is the reason the template defaults to a defensive plus real-asset plus hedge mix rather than the textbook 60/40.

If you want a closer look at the live data layer behind these formulas, browse the MarketXLS feature library or book a working session with the team. The dashboard above is a starting point for your own research, not an end state, and the workbook is built so that you can change the assumptions, swap the universe, and re-run the scenarios as the macro picture evolves.