Enterprise Risk Management at United Grain Growers: The Case Study That Shows How ERM Actually Works

Book: Structured Finance and Insurance: The ART of Managing Capital and Risk Author: Christopher L. Culp Publisher: Wiley Finance, 2006 ISBN: 978-0-471-70631-1

Chapter 34 is one of my favorite case studies in this entire book. It’s by Scott Harrington, Greg Niehaus, and Kenneth Risko, and it tells the story of United Grain Growers (UGG), a Canadian agricultural services company that became one of the first corporations to genuinely implement enterprise risk management. Not just talk about it. Actually do it.

The Problem With Silos

Before UGG, most companies managed risks in separate buckets. Property damage? That’s the insurance department. Currency risk? That’s the treasury. Commodity prices? That’s the trading desk. Each silo used different terminology, different methods, different contracts.

In the late 1990s, people started questioning this approach. The argument was simple: a company should identify ALL its risk exposures and manage them in a unified framework. That’s enterprise risk management (ERM). Some companies even created a new position: Chief Risk Officer.

The theoretical backing is solid. Modern risk management theory says risk reduction adds value for shareholders in three ways:

1. It reduces the chance the firm will need to raise costly external capital, which protects investment decisions.
2. It can reduce expected tax payments through different marginal tax rates at different income levels.
3. It reduces the likelihood of financial distress, which improves contract terms with employees, suppliers, lenders, and customers.

None of these benefits depend on the source of the risk. A $50 million loss from a liability lawsuit has the same impact on your ability to fund new projects as a $50 million loss from currency movements. So why would you manage them in completely different ways?

Why Bundling Beats Silos

The chapter includes a really clear numerical example that I want to walk through because it clicked for me.

Say a firm faces two uncorrelated risks. Both have the same distribution: 50% chance of zero loss, 25% chance of $20 million loss, 25% chance of $50 million loss. The firm doesn’t want total retained losses above $40 million.

Silo approach: Buy separate contracts for each risk with a $20 million retention. Expected payout per contract: $800,000. Transaction costs at 20% loading: $160,000 each. Total transaction costs: $320,000. But here’s the problem: if one risk hits $50 million and the other hits zero, the separate insurance pays $30 million on the first risk even though total losses are only $50 million. The firm was willing to absorb $40 million. So $20 million of that coverage was redundant. You paid for protection you didn’t need.

Bundled approach: One contract with a $40 million aggregate retention and $60 million aggregate limit. Expected payout: $472,000. Transaction costs: $94,400. Same protection. Way less waste. Because the aggregate structure only kicks in when total losses actually exceed your threshold.

The math is the same as the difference between buying a portfolio of options versus an option on a portfolio. The option on the portfolio always costs less because diversification reduces volatility.

Of course, there are downsides to bundling. Moral hazard increases once your aggregate retention is hit. The contract is more complex to price. Fewer counterparties can underwrite it. And there’s less established case law for settling disputes.

What UGG Found

UGG was founded in 1906 as a farmer cooperative and went public in 1993. By 1999, it had revenues of C$209 million. Its main businesses were grain handling and crop production services.

UGG was already hedging currency risk and commodity price risk. It had property and liability insurance. But earnings were still volatile. Very volatile. And nobody knew exactly why.

The ERM process started with forming a risk management committee (CEO, CFO, risk manager, treasurer, compliance manager, corporate audit). They did a brainstorming session with Willis Group and identified 47 exposure areas. From those, they picked the top six for deeper analysis:

1. Environmental liability
2. Weather effects on grain volume
3. Counterparty risk
4. Credit risk
5. Commodity price and basis risk
6. Inventory risk

Willis Risk Solutions gathered data, estimated probability distributions, and measured correlations. The conclusion was stark: weather was the dominant unmanaged risk. Everything else was either already hedged or relatively small.

They ran regression analysis on 30+ years of data (1960-1992) linking temperature and precipitation to crop yields across western Canada. June temperatures and July rainfall were the most significant variables, explaining 60-70% of annual variation in crop yields. Then they linked crop yields to UGG’s grain volume, and grain volume to profits.

The punchline: when they graphed actual gross profit alongside what profit would have been without weather effects, the difference was dramatic. Weather was driving most of UGG’s earnings volatility.

The Solution

UGG considered three options:

Option 1: Do nothing. Just accept the volatility. But UGG was making major capital investments in high-throughput grain elevators. Volatile earnings would make external financing more expensive, prevent optimal debt ratios, and undermine customer and supplier relationships.

Option 2: Weather derivatives. The weather derivatives market was emerging in 1999. Goldman Sachs, Merrill Lynch, Enron, and Duke Energy were all dealing. But most contracts were based on heating and cooling degree days for utilities. UGG needed something custom, which would be expensive and illiquid. And there was basis risk: the statistical link between weather variables and UGG’s profit was significant but imperfect.

There was also an accounting problem. If weather derivatives were marked to market at UGG’s July 31 fiscal year end, they could actually increase reported earnings volatility because of timing mismatches between when the derivative gained value and when the bad weather hit grain shipments.

Option 3: Industry grain volume contract. This was the breakthrough. Instead of betting on weather, bet on what weather actually affects: how much grain gets shipped. But you can’t base it on UGG’s own shipments because of moral hazard. If UGG gets paid when its shipments are low, it has less incentive to maximize shipments.

So they used industry-wide grain shipments as the trigger. Industry shipments were highly correlated with UGG’s shipments (low basis risk). UGG’s 15% market share meant its own behavior barely moved the industry number (low moral hazard). And this approach also hedged non-weather risks that affected grain volume, like regulatory changes and exchange rate effects.

Then came the real innovation: bundling the grain volume coverage with all of UGG’s existing property and liability insurance into a single integrated contract with Swiss Re. Annual aggregate retention, annual aggregate limit, three-year term aggregate limit. It didn’t matter whether a loss came from property damage, liability, or low grain volume. If total losses hit the threshold, the coverage kicked in.

And here’s the best part: UGG got coverage for a risk it couldn’t previously hedge, AND it didn’t increase total risk management costs. The bundling efficiencies offset the cost of adding grain volume coverage.

Lessons

The characteristics that made this work for UGG exist in other industries too. Low-margin, high-volume businesses with large fixed costs. Where unexpected drops in volume can devastate the ability to cover costs and fund investments. Retailing and stock brokerage are mentioned as potential candidates.

But there are requirements. You need an industry volume index that’s highly correlated with your own volume but that you can’t substantially influence (small market share). You need top management buy-in. UGG spent over three years from the initial brainstorming to signing the contract. And you need technical expertise to estimate probability distributions and correlations.

The managers at UGG said something that stuck with me. They found the risk identification and measurement process valuable in itself, completely apart from the insurance contract. It gave them a better understanding of their own business. That might be the real ERM lesson: the process of truly understanding your risks is worth more than any specific hedging strategy.

This post is part of a series retelling “Structured Finance and Insurance” by Christopher Culp. Previous: Insurance Securitization Trends 2004 | Next: Representations and Warranties Insurance