Business executive navigating a jigsaw puzzle maze, representing the complexities of firm growth.

Why Your Business Might Be More Like a Jigsaw Puzzle Than a Pyramid

"New research challenges traditional firm growth models, suggesting diversification and unexpected volatility play a bigger role than previously thought."


The question of what governs the statistical laws of firm growth has intrigued economists for decades. While a purely statistical approach might seem insufficient given the myriad factors influencing a company's trajectory, research has revealed surprising regularities. Understanding firm-level dynamics has become increasingly crucial, as they underpin changes in macroeconomic aggregates like GDP and offer insights into individual wealth creation and the growth of city sizes.

Despite the diverse nature of statistical samples, certain robust patterns persist in firm growth across countries, time periods, and size proxies. Two prominent observations stand out: both the firm size distribution and the distribution of firm growth rates exhibit non-Gaussian characteristics and heavy tails. The heavy tails are particularly striking, indicating frequent episodes of extreme growth or decline. This challenges the intuitive notion of gradual, predictable expansion.

However, pooling growth rates from various firms to characterize a single distribution requires careful consideration. It implicitly assumes that all firms operate under the same firm-independent and time-independent distribution, which is clearly unrealistic. A key factor complicating this picture is the well-established inverse relationship between firm size and growth volatility. Larger firms tend to exhibit less volatile growth rates, seemingly due to diversification. But the observed decay in volatility with size is slower than what a simple diversification argument would predict, suggesting a more complex interplay of factors.

Beyond the Island: Why Granularity Matters

Business executive navigating a jigsaw puzzle maze, representing the complexities of firm growth.

To reconcile these observations, researchers have explored models that go beyond the simplified "island model," where firms operate in isolation. These models incorporate two key elements: firms operating in multiple markets and the unequal distribution of sizes among a firm's constituent sub-units. This means a firm can be seen as an ensemble of interconnected sub-units, each functioning in a distinct and independent market. These sub-units aren't necessarily equal in size, leading to a situation where a firm's aggregate size might be concentrated in just a few key areas.

This approach leads to the categorization of firms into three distinct diversification types. Each type exhibiting a specific sales distribution among their sub-units:

  • Well-diversified firms: These firms have sizes evenly distributed across many sub-units, indicating a broad range of revenue streams.
  • Concentrated Sub-unit Firms: Display many sub-units but with concentrated size in just a few, relying on a narrow set of revenue centers.
  • Poorly diversified firms: Consist of only a small number of sub-units, making them vulnerable to market shifts.
The coexistence of these three firm types directly impacts the shape of the growth volatility distribution. The challenge then becomes understanding how these internal structures affect a firm's overall growth dynamics and whether existing models adequately capture these nuances. Recent research introduces new theoretical insights, directly linking a firm's growth statistics to its level of diversification. This approach acknowledges that firms with similar sizes can exhibit different growth trajectories depending on how diversified their operations are.

The Unsolved Puzzle: Where Do the Shocks Come From?

While these models offer valuable insights, they don't fully capture the complexity of real-world firm growth. Key inconsistencies remain, particularly in the distribution of growth volatility and the scaling of higher-order moments. This suggests that the mechanisms driving firm evolution are more intricate than previously thought. A crucial next step is to explore how shocks impacting a firm's sub-units become correlated as a firm grows. Factors like supply chain dependencies, shared customer bases, and reputation effects could amplify these correlations, leading to larger and more volatile swings in overall firm performance.

About this Article -

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Everything You Need To Know

1

Why is it important to understand the statistical laws governing firm growth?

Understanding the statistical laws of firm growth is crucial because firm-level dynamics underpin changes in macroeconomic aggregates, such as Gross Domestic Product (GDP). It also provides insights into individual wealth creation and the expansion of city sizes. Recognizing patterns in firm growth can lead to a better comprehension of economic trends and wealth distribution.

2

What are the typical characteristics observed in firm growth across various markets?

Across different countries, time periods, and size proxies, two main observations about firm growth stand out. First, the firm size distribution and the distribution of firm growth rates show non-Gaussian characteristics and heavy tails. The presence of heavy tails indicates frequent episodes of extreme growth or decline, which occur more often than a normal Gaussian distribution would predict.

3

How does diversification affect a firm's growth volatility, and what are the different types of diversification strategies firms employ?

Diversification generally reduces a firm's growth volatility, as larger firms tend to exhibit more stable growth rates because of their involvement in multiple markets. Firms employ various diversification strategies that can be categorized into three types. 'Well-diversified firms' have sizes evenly distributed across many sub-units. 'Concentrated Sub-unit Firms' have many sub-units, but their size is concentrated in just a few. Lastly, 'Poorly diversified firms' consist of only a small number of sub-units.

4

What are 'non-Gaussian events' in the context of firm growth, and why are they significant?

In the context of firm growth, 'non-Gaussian events' refer to occurrences of extreme growth or decline that happen more frequently than predicted by a normal Gaussian distribution. These events are significant because they challenge the idea of gradual, predictable expansion and indicate that firm growth can be subject to sudden and substantial changes, impacting overall market dynamics and investment strategies.

5

According to recent research, what key elements are missing in current firm growth models, and what implications might these omissions have?

Current firm growth models don't fully capture the complexity of real-world firm growth, particularly in the distribution of growth volatility and the scaling of higher-order moments. The primary missing element is how shocks impacting a firm's sub-units become correlated as the firm grows. Factors such as supply chain dependencies, shared customer bases, and reputation effects can amplify these correlations, leading to larger and more volatile swings in overall firm performance that existing models do not adequately predict.

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