Climate, Grids, Balance Sheets
Research lanes toward a climate-to-markets program
“How do climate signals — wind, water, heat, sea — propagate through electricity markets into the cash flows and valuations of listed companies, and where along that chain is the propagation mispriced?”
The Premise
Neel Somani wrote the primer on US power in the age of AI; that seat is taken. The open seat is the researcher who traces climate physics through under-covered grids into equity prices, with complexity economics as the method. Four markets, chosen for their coverage gaps in English and their distinct climate drivers: Lithuania (wind, and a once-in-history topology change), Brazil (water, and a spot price that is literally the output of a government model), and New York and California (heat and sea, where the equity expressions actually trade). Each regional lane produces a physical state variable; a fourth lane turns those state variables into Armstrong signals.
The Markets
Near-zero independent English-language research; Feb 2025 BRELL desynchronization unwritten-up
Serious work is in Portuguese; the performativity framing of PLD is untouched anywhere
Well-covered market, thin seam: the ocean-atmosphere channel behind load and price tails
Most-studied grid in the world; marine-layer solar error and correlated heat domes still under-modeled
The Lanes
Forecast Error as the Price of Wind
In a small, wind-heavy, newly resynchronized bidding zone, wind forecast error is the dominant driver of intraday and imbalance price spikes — and forecast disagreement between models (GFS vs ECMWF ensemble spread) is a measurable early-warning state variable for tail events. The kite wind brief already computes the front half of this signal.
Why the seat is empty · Baltic power has essentially no independent English-language researcher. In February 2025 the three Baltic states desynchronized from the Russian-controlled BRELL ring and joined the Continental European grid — a once-in-history change in network topology whose market consequences (balancing costs, price coupling, frequency-reserve procurement) remain largely unwritten. Physical presence in Palanga through late September is a live edge: the wind being forecast is observable out the window.
Complexity mechanism · A grid topology change is literal network rewiring — the cleanest natural experiment in network economics available anywhere right now. Imbalance prices are an emergent property of correlated forecast errors across a small zone: when every producer misses in the same direction, the system state jumps rather than averages out. Fat tails from synchronized error, not from any single actor.
- LT-1
Days with high GFS-ECMWF ensemble disagreement over the Baltic coast show significantly fatter intraday-minus-day-ahead spread tails in the LT zone. Forecast dispersion, not the forecast itself, is the tradable state variable.
Test · Eighteen months of ENTSO-E LT day-ahead and imbalance prices against archived Open-Meteo multi-model wind forecasts; quantile regression of spread tails on dispersion; fix the spike threshold before looking.
- LT-2
The February 2025 synchronization to Continental Europe produced a structural break in LT balancing costs and in LT price coupling with SE4 and Poland — detectable, datable, and attributable.
Test · Regime-switching model and event study across the desync date on coupling coefficients and balancing-energy volumes; falsified if no break survives controls for fuel prices and interconnector outages.
- LT-3
The Baltic offshore buildout will raise, not lower, price volatility for years — capacity is arriving faster than the transmission and storage that would absorb it, so cannibalization and negative-price hours lead the smoothing.
Test · Cross-sectional check against zones further along the same curve (Denmark, northern Germany): volatility and negative-price frequency vs wind penetration, controlling for interconnection ratio.
- LT-4
In hours when gas sets the uniform clearing price, wind owners collect inframarginal rents financed through the bills of households in some of the EU’s most energy-poor member states — and the post-BRELL security premium is likewise socialized onto ratepayers by convention. The rent transfer is calculable, and it lands on the inequality frame directly.
Test · Reconstruct hourly inframarginal rents for LT wind from ENTSO-E prices and a merit-order proxy; join spike frequency to EU-SILC energy-poverty indicators across the Baltics; headline number is euros transferred per household per year under the clearing convention.
- ENTSO-E Transparency →free API — prices, load, generation, balancing; the workhorse
- Nord Pool →day-ahead and intraday for LT zone
- Litgrid →TSO data — balancing, interconnectors, desync documentation
- Open-Meteo →free GFS / ECMWF / ICON ensembles + historical forecast archive — same stack as the kite brief
- Eurostat EU-SILC →energy-poverty indicators by country and year — the inequality join for LT-4
Armstrong · A paper-traded day-ahead vs intraday spread signal conditioned on forecast dispersion. Even without market access, a timestamped forecast-and-outcome log is a track-record artifact — the Armstrong pattern of a live book as empirical evidence, applied to power.
Quant intelligence · Extreme value theory, ensemble meteorology, regime-switching and structural-break econometrics — the tail-risk toolkit, learned on data with genuinely fat tails.
First probe · Two weeks: pull 18 months of ENTSO-E LT prices plus the Open-Meteo forecast archive into macro-signals; one notebook answering "does model disagreement predict spike days?"; publish as the first post of a Baltic power series — "The Grid After BRELL."
The Price That a Model Writes
Brazil’s spot price (PLD) is not discovered by an auction — it is computed by a government-run stochastic optimization model (NEWAVE / DECOMP / DESSEM) fed by reservoir levels and inflow forecasts. It is the purest performativity case in world electricity: the model does not estimate the price, it is the price. The climate chain is long and legible: ENSO state, rainfall over the Southeast and Center-West basins, reservoir inflows, model output, contract settlement, utility earnings.
Why the seat is empty · Nearly all serious research lives in Portuguese; English coverage of the world’s largest hydro-dominated market is remarkably thin. And nobody anywhere has written the MacKenzie-style study of PLD as a performative convention — an engine, not a camera, in the most literal sense available. This is the lane that fuses the new climate program with the existing valuation-conventions lane rather than competing with it.
Complexity mechanism · A slow state variable (stored water) coupled to a fast one (price) through an explicit model whose conventions — the CVaR risk-aversion parameter, price caps and floors, inflow scenario trees — redistribute billions between generators and consumers. Model assumptions as distributive institutions: the exact claim of the Abu Dhabi lane, with a balance sheet attached.
- BR-1
ENSO indices lead PLD regime shifts by one to two quarters through the inflow channel; a parsimonious reservoir-state model beats naive persistence in forecasting PLD regime, and the lead is long enough to act on.
Test · NOAA ONI vs ONS reservoir levels vs monthly PLD, 2001-2026; Markov regime model with ENSO as exogenous driver; falsified if ENSO adds nothing beyond current reservoir level.
- BR-2
Listed Brazilian generators and utilities underreact to reservoir-state changes — the physical state variable leads earnings revisions and returns, because the hydrological balance sheet updates faster than the analyst one.
Test · Event study on ADRs (Eletrobras EBR, Cemig CIG, Copel ELP, Sabesp SBS) around large reservoir-state moves; long-short conditioned on hydrology vs sector benchmark; pre-registered horizon.
- BR-3
PLD deviates from a physically grounded shadow price in systematic, directional ways attributable to the model’s own conventions — and each convention change (the 2013 CVaR introduction, the 2021 move to hourly PLD) measurably redistributed money between market segments.
Test · Reconstruct a simple physical benchmark price from reservoir and load data; regress the PLD-benchmark gap on convention-change dates; the redistribution estimate is the paper’s headline number.
- BR-4
The 2021 drought’s costs were distributed by convention, not by weather: tariff flags — including the special water-scarcity flag — moved scarcity costs onto household bills, regressively, since electricity is a far larger budget share for poor households, while the CVaR convention cushioned generator margins. The incidence of ENSO is an institutional choice.
Test · ANEEL tariff-flag history joined to IBGE POF electricity budget shares by income decile; compute the 2021-22 scarcity burden as a share of income per decile against a counterfactual where generators bear the hydrological risk.
- ONS open data →reservoir levels, inflows, generation by source — free and deep
- CCEE →PLD history, market rules, settlement
- NOAA ONI →canonical ENSO index, 1950-present
- B3 / ADRs →equity expressions; ADRs trade in New York
- ANEEL →tariff-flag history and rate structures — the distributive instrument for BR-4
- IBGE POF →household budget survey — electricity spend by income decile
Armstrong · The most directly tradable lane: US-listed ADRs mean the hydro-conditioned long-short runs in an ordinary brokerage account inside the Armstrong book. Sabesp adds a pure water-scarcity leg beyond electricity.
Quant intelligence · Stochastic dynamic programming intuition, climate teleconnections, cross-asset event studies — plus the discipline of working a market in a second language, which is itself the moat.
First probe · Two weeks: one chart worth a thousand words — 25 years of Southeast reservoir level, ONI, and PLD on a shared timeline; a memo titled "The Price That a Model Writes" framing BR-3 for the CEcon paper with Michael.
The Sea Sets the Tail
In coastal load centers the ocean, not the thermometer, sets the tail. California’s marine layer decides whether ten gigawatts of solar show up; New York’s sea breeze decides whether Zone J peaks or coasts. Multi-day heat domes are correlated events that capacity constructs price as roughly independent — the Dunkelflaute error, translated into heat.
Why the seat is empty · These are the most-studied grids on earth, so the gap is a seam, not a field: quant desks overwhelmingly proxy weather with raw temperature, and the specific ocean-atmosphere mechanisms — coastal inversion strength, sea-breeze onset timing — sit in meteorology journals, not market models. Narrower edge than Lanes I-II, but this is where the tradable US equity expressions live.
Complexity mechanism · Correlation structure as the mispriced object. Scarcity pricing and resource adequacy treat event-days as draws; heat domes are regimes — persistent, spatially correlated, demand-and-supply-coupled (heat lifts load while derating plants and lines). The same class of error as CDO correlation in 2007: right marginals, wrong copula.
- US-1
CAISO solar and net-load forecast error is conditionally predictable from marine-layer indicators, and spike-day probability with it — the grid inherits the forecast skill ceiling of coastal stratus.
Test · CAISO forecast-vs-actual archives against coastal inversion and cloud-cover data; does a marine-layer index improve spike-day classification over temperature alone?
- US-2
Scarcity events cluster in multi-day heat-dome regimes; capacity and RA constructs underprice that clustering, so the realized distribution of consecutive-day scarcity beats the independence assumption by a measurable factor.
Test · Historical CAISO / NYISO scarcity hours fitted as a regime process vs independent draws; the likelihood ratio is the underpricing estimate.
- US-3
NYISO Zone J price separation is predictable on sea-breeze-failure days — when the marine cooling that the load forecast implicitly assumes does not arrive.
Test · Zone J vs rest-of-state spreads conditioned on sea-breeze onset from coastal station data; effect must survive controlling for raw temperature.
- gridstatus →open-source Python access to CAISO / NYISO / ERCOT — prices, load, forecasts
- CAISO OASIS →the raw source — LMPs, forecasts, outages
- NOAA / HRRR →high-resolution mesoscale model; marine layer and sea breeze live here
- EIA API →generation, capacity, fuel — free
Armstrong · Expression through listed merchants and utilities — Vistra, Constellation, NRG on scarcity states; and the standing insurance screen: PG&E’s wildfire liabilities were the actual MBIA trade of 2018-19, and California utility wildfire exposure remains the template for finding the next one.
Quant intelligence · Mesoscale meteorology, spatial statistics, scarcity-pricing mechanics — and fluency in the two markets every US interviewer knows, which makes the whole program legible to Bridgewater and to desks.
First probe · Two weeks, after Lanes I-II probes: gridstatus pipeline for CAISO forecast error; one test of US-1 on summer 2020-2025; short memo on whether the seam is real or already arbitraged.
The Climate-to-Balance-Sheet Ledger
Physical climate anomalies transmit to listed-company cash flows through power prices with lags and nonlinearities the equity market misprices — because merchant generators, regulated utilities, insurers, and power-hungry data centers sit on different clocks between anomaly and earnings. This is the integrating lane: each regional lane produces a physical state variable; this one turns state variables into Armstrong positions.
Why the seat is empty · Climate-equity work mostly means ESG scores and disclosure studies — slow, annual, narrative. Almost nobody maps high-frequency physical grid states to the earnings mechanics of specific balance sheets. The regional lanes supply exactly the state variables that make this tractable.
Complexity mechanism · Heterogeneous agents on heterogeneous clocks: a merchant generator reprices with the spot market in hours, a regulated utility through rate cases in years, an insurer at renewal, a data center through PPA renegotiation. The lag structure between the same shock hitting different balance sheets is the alpha — and a genuinely complexity-economic object: one signal, many response functions.
- TX-1
A portfolio long merchant generators, short regulated utilities, conditioned on regional scarcity state, outperforms — the market prices the sector, not the clock-speed difference within it.
Test · Backtest on US names with CAISO / ERCOT scarcity states; then out-of-sample structurally in Brazil with the hydro state; pre-registered rules, walk-forward only.
- TX-2
Insurers and utilities with concentrated exposure to correlated climate tails — wildfire, drought, heat-dome outage clusters — systematically underprice them until an event forces repricing. There is a screenable "next MBIA" in the intersection of Lane II’s drought states and Lane III’s correlation error.
Test · Build the exposure screen from regulatory filings and physical state data; the falsifiable form is that screened names show asymmetric drawdown behavior around climate events versus unscreened peers.
- SEC EDGAR →utility and insurer exposure from 10-Ks — segment data, wildfire and weather disclosures
- yfinance / broker data →equity prices for event studies and backtests
Armstrong · This lane is Armstrong: it is the strategy layer that consumes the other three lanes’ research. Every regional probe that survives its gate feeds a signal here; the 12-month track record is built from these positions.
Quant intelligence · Event-study methodology, factor construction, fundamental data pipelines, portfolio construction — the complete quant-equity toolkit, assembled around an original signal family instead of a textbook one.
First probe · Runs continuously rather than as a sprint: as each regional probe closes, write the one-page transmission memo — which listed balance sheets feel this state variable, on what clock, and what is the cleanest expression.
The Inequality Bridge
“Weather is random; who pays for weather is a convention.”
The SFI winter school’s focal application is inequality, and the established lane there is valuation conventions as distributive institutions. The climate lanes are not a separate program — they are the same claim at a new empirical site. A drought or a wind lull does not distribute its own costs; the market design does, and every link is a convention someone chose: the uniform clearing price, the tariff flag, the CVaR parameter, the zonal boundary. Where the valuation lane studies analyst price targets distributing wealth, this bridge studies grid pricing rules distributing drought. The join is always the same three-step chain: physical state variable → pricing convention → household incidence.
The 2021 drought’s costs were routed to households through an explicit instrument — tariff flags, including a special water-scarcity flag — while the model’s risk-aversion convention cushioned generators. ENSO → reservoirs → model → flag → incidence by income decile, every step in public data. This is BR-4, and it is the Abu Dhabi paper candidate.
The Baltics rank among the EU’s most energy-poor member states. Every hour gas sets the uniform clearing price, wind owners collect inframarginal rents financed through those households’ bills — and the post-BRELL security premium is socialized the same way. LT-4 computes the transfer.
Wind and water metrics overlap with inequality metrics through the price channel: ENTSO-E and ONS supply the physical and price states; EU-SILC energy-poverty indicators and IBGE POF budget shares supply the incidence. The convention in the middle is the object of study — an engine, not a camera, deciding who pays.
The Scorecard
Lane selection is a decision, not a mood. Criteria fixed before probes run; ratings revised only in the iteration log.
| Criterion | I · Wind LT | II · Water BR | III · Heat US | IV · Ledger |
|---|---|---|---|---|
Coverage gap in English Is the seat actually empty? | ●●● | ●●● | ●○○ | ●●○ |
Data openness Free, deep, machine-readable | ●●● | ●●● | ●●● | ●●○ |
Climate signal strength How tightly physics drives price | ●●● | ●●● | ●●○ | ●●○ |
Armstrong tradability Can it become a position? | ●○○ | ●●● | ●●● | ●●● |
SFI / Farmer legibility Publishable as complexity econ | ●●● | ●●● | ●●○ | ●●○ |
Personal edge today Location, tooling, existing lanes | ●●● | ●●○ | ●○○ | ●●○ |
Skill compounding Builds quant intelligence that transfers | ●●● | ●●● | ●●● | ●●● |
The Proposed Path
ENTSO-E + Open-Meteo pipeline into macro-signals; test LT-1; publish "The Grid After BRELL" as the first Baltic power post. The location edge expires around September 23 — this goes first.
Gate · Commit if forecast dispersion measurably predicts spike days; park if the LT zone is too coupled to neighbors for a local signal to exist.
ONS + ONI + PLD on one timeline; test BR-1; write "The Price That a Model Writes" and put BR-3 in front of Michael as a candidate section of the CEcon paper.
Gate · Commit if ENSO leads PLD beyond current reservoir level; the performativity study (BR-3) proceeds on its own merits regardless — it is a paper, not a trade.
gridstatus pipeline; test US-1 on CAISO summers. Deliberately last: smallest coverage gap, and Lanes I-II teach the meteorology it needs.
Gate · Commit only if the marine-layer index beats temperature-only baselines; otherwise park and keep Lane III as market-fluency reading, not research.
Write the framing paper: "Climate, Grids, Balance Sheets — the transmission of physical states through under-covered electricity markets into equity prices." One flagship lane, one supporting lane, the rest parked. This is the document Oxford in December and Abu Dhabi in January get pointed at.
Gate · The path exists when one lane has a committed signal in the Armstrong book and one lane has a paper section Michael co-signs. Both by mid-November, before the Oxford trip.
Iteration Log
- v22026-08-21
Inequality bridge added after the SFI-frame question: distributive incidence of climate volatility as the unifying claim — "weather is random; who pays for weather is a convention." New hypotheses LT-4 (inframarginal rents vs Baltic energy poverty via EU-SILC) and BR-4 (2021 drought tariff-flag incidence by income decile via ANEEL + IBGE POF). BR-4 flagged as the Abu Dhabi paper candidate; the climate lanes and the valuation-conventions lane are now one program, not two.
- v12026-08-21
Initial four lanes drafted from the Power 2026 conversation: wind/Lithuania, water/Brazil, heat-and-sea/NYC+California, and the cross-market transmission ledger. Lane I set to probing on location edge; scorecard and 12-week path proposed. Open question: whether Lane III earns research status or stays market-fluency reading.