Neel Somani Explains How Complementarity Shapes Power and Commodity Markets

San Francisco, CA , 28th April 2026, ZEXPRWIRE — Neel Somani is breaking down one of the more advanced concepts in market design and quantitative modeling: complementarity, a framework that helps explain how interconnected prices and incentives behave in power and commodity markets.

Known for translating complex financial and infrastructure systems into understandable concepts, Somani recently outlined how complementarity appears throughout energy trading, power pricing, and commodities. Drawing from his experience as a former quantitative researcher at Citadel in the commodities group, he explained why many markets cannot be solved through a single optimization problem alone.

Beyond Traditional Optimization

Most people are familiar with optimization in simple terms: finding the best possible outcome under a set of constraints. Businesses optimize costs, investors optimize returns, and grid operators optimize power dispatch.

Complementarity goes one step further.

Rather than solving one isolated problem, complementarity involves multiple optimization problems that depend on each other simultaneously. Each variable affects the others, creating a feedback loop that must eventually converge to equilibrium.

According to Neel Somani, this framework appears constantly in commodities markets for those who know where to look.

Natural Gas and Power: A Classic Example

One of the clearest examples is the relationship between natural gas and electricity prices.

In many regions, electricity is generated by burning natural gas. That means gas prices directly influence the cost of producing power. If gas prices rise, the marginal cost of generation often rises as well, pushing electricity prices higher.

But the relationship also runs in reverse.

If electricity demand surges and power prices increase, demand for gas-fired generation can rise, which in turn influences gas prices.

This creates a two-way dependency:

• Power prices are influenced by gas prices

• Gas prices are influenced by power demand and power prices

Instead of a one-directional equation, traders and modelers often solve these variables iteratively, moving back and forth until the system converges.

“That’s a complementarity problem,” Somani explains. “It’s not just one optimization problem. It’s two optimization problems that depend on each other.”

How Bidding Behavior Impacts Power Prices

Neel Somani also highlighted another real-world example: electricity market bidding behavior.

In many wholesale power markets, generators submit bids stating the price at which they are willing to produce electricity. The market operator then stacks these bids from lowest to highest cost until enough supply is selected to meet demand.

The final accepted bid sets the uniform clearing price, meaning all selected generators receive that same market price.

For most producers, the rational strategy is simple: bid close to marginal cost.

If it costs a generator $20 to produce power, bidding $20 improves the chance of being selected. Because many generators are infra-marginal, meaning they are selected before the last unit sets price, their own bid may not determine the final payment they receive.

When the Marginal Unit Knows It Matters

The problem becomes more complex when a generator expects to be the last accepted unit, the marginal supplier that sets price for everyone else.

In that case, incentives change.

Instead of bidding strictly at cost, that generator may choose to bid a premium to increase profits. But once one participant changes behavior, the clearing price can shift, potentially changing which generator becomes marginal.

This creates another feedback loop:

• Power price depends on submitted bids

• Submitted bids depend on expected power price

As a result, sophisticated market participants may model this through repeated iterations:

1. Assume everyone bids marginal cost

2. Solve for the clearing price

3. Adjust bids for the marginal supplier

4. Recalculate price

5. Repeat until equilibrium is reached

Again, this is a complementarity problem, where market outcomes and participant behavior shape each other simultaneously.

Why This Matters in Real Markets

Understanding complementarity is valuable because many real markets are not linear.

Prices do not simply respond to supply and demand in a static way. Instead:

• Incentives react to prices

• Prices react to incentives

• Inputs affect outputs

• Outputs affect future inputs

This is especially true in energy, where physical constraints, fuel markets, weather, regulation, and strategic bidding all interact.

For traders, investors, and policymakers, recognizing these relationships can provide a deeper understanding of volatility, pricing anomalies, and equilibrium behavior.

A Builder of Complex Systems

Neel Somani’s ability to explain these concepts reflects a career built around high-complexity systems.

He graduated from University of California, Berkeley with a triple major in mathematics, computer science, and business administration. He later worked at Airbnb and Citadel before founding Eclipse in 2022, which went on to raise $65 million.

Today, his focus includes machine learning research, education, and philanthropy, while continuing to share practical insights on markets and optimization.

Seeing What Others Miss

Neel Somani’s broader point is that complementarity problems exist across commodities markets far beyond just gas and power.

For those who understand how systems interact, these relationships become opportunities for better modeling, smarter decision-making, and clearer market intuition.

As markets grow more interconnected, the ability to recognize second-order dynamics may become just as valuable as understanding first-order supply and demand itself.

To learn more visit: https://www.neelsomani.com/