Key Takeaways
“The Herfindahl-Hirschman Index (HHI) is a statistical measure of market concentration within a specific industry, including crypto.”
Economists Orris Herfindahl and Albert Hirschman developed the Herfindahl-Hirschman Index (HHI) in the 1950s and 60s to tackle monopoly risks in traditional finance. As competition and regulation increasingly influenced markets, HHI provided analysts and investors with a quick way to assess concentration and competition in a market. While simple and effective, some criticisms highlight HHI’s limited ability to capture deeper market complexities.
For the crypto market, HHI can help users and analysts assess market health and detect signs of concentration or decentralization. For example, HHI can reveal which cryptocurrencies or companies hold significant market power or control.
A recent study used HHI to understand which types of cryptocurrency university business students prefer to invest in. This approach helped identify the most popular cryptocurrencies among these students and explored the reasons behind their investment choices.
Applying HHI to a crypto exchange’s market share distribution can show whether trading is concentrated among a few key players or spread across multiple participants. As a result, it helps identify market dynamics and potential risks and makes informed decisions.
This article will explore how to calculate the Herfindahl-Hirschman Index (HHI), interpret its results, and apply it to various segments of the crypto market. It will also discuss practical examples, benefits, and limitations of using HHI in crypto analysis.
Calculating the HHI involves squaring each project’s market share and summing these values. The resulting score ranges from 0 to 10,000. Lower scores indicate a more competitive market with many participants, and higher scores suggest greater concentration, potentially even indicating a monopoly.
According to the 2023 Merger Guidelines by the U.S. Department of Justice (DOJ) and Federal Trade Commission (FTC):
The formula for the Herfindahl-Hirschman Index (HHI) calculates market concentration by summing the squares of each project’s market share within the industry.
The formal formula is:
Expanded form of the formula:
Both representations of the HHI are identical in their calculation and meaning; the difference is their expression in written form.
Let’s consider a hypothetical market with 4 similar DeFi projects that have the following portions of total assets:
Calculation:
In this example, the HHI of 3000 would reflect a highly concentrated market according to DOJ guidelines.
Range: 0 to 10,000
Interpretation:
It is important to note that the HHI can also be calculated by converting each market share to a decimal (e.g., 0.4 instead of 40%) and then summing their squares, yielding the same result but scaled to a range of 0 to 1. However, a maximum of 10,000 in merger guidelines and regulatory frameworks is more common.
The Herfindahl-Hirschman Index (HHI) is a valuable tool for assessing market concentration in the crypto space. The following are some examples of how users can apply it:
A study applied the HHI to evaluate the distribution of staking power within Ethereum’s proof-of-stake (PoS) consensus mechanism. The HHI score observed for Ethereum’s PoS network was approximately 0.178, suggesting a higher-than-ideal concentration of staking power.
Another case where HHI was applied resulted in a trend toward decentralization in Bitcoin mining pools. The study by Ark Invest assessed market concentration, and the HHi indicated a more distributed mining landscape.
The HHI is a versatile tool for assessing market concentration. Applying it to different segments of the crypto space can yield valuable insights into market dynamics, competition, and potential risks.
For this reason, it can apply to a range of established and relatively new products, such as decentralized finance (DeFi) protocols, non-fungible tokens (NFT) marketplaces, mining pool concentration, infrastructure providers, or even decentralized autonomous organization (DAO) governance structures. In each of these areas, HHI helps highlight the degree of dominance by top players, offering a clearer picture of whether a market segment is monopolistic or competitive.
By examining concentration through HHI, investors can make informed decisions on potential vulnerabilities, identify emerging trends in competition, and better understand market health across these varied sectors.
However, accurate calculation of HHI requires reliable data on market shares, trading volumes, or token distributions. In the crypto space, data transparency can vary across different platforms and tokens, impacting the accuracy and consistency of HHI assessments. This variability underscores the importance of sourcing high-quality data and remaining aware of limitations in transparency when analyzing crypto markets with HHI.
HHI offers straightforward insight into market concentration, making it useful for analysts focused on market structure and risk. Its simplicity means it’s easy to apply across different crypto assets or exchanges, giving users a quick, clear snapshot to spot trends that might signal monopolistic behavior and support strategic choices.
However, HHI has limits, especially in the volatile crypto market. Cryptocurrencies can change quickly, making HHI scores less stable here than in traditional markets.
The metric also does not capture outside factors like market sentiment or regulatory shifts, which can influence the market without directly affecting HHI.
In highly fragmented markets with many players and geographical differences, HHI may need help to distinguish between slightly concentrated and competitive environments.
For example, HHI might show a competitive landscape globally in the crypto exchange market. Still, within specific regions, one or two exchanges might dominate due to local preferences or regulatory restrictions. Upbit and Bithumb hold a significant market share in South Korea, while Binance and Coinbase lead globally.
Another limitation can arise when a single company or project dominates a specific niche within a larger market. For example, one project might have a near-monopoly in a particular segment, even if the broader sector includes many projects with relatively equal shares of market value or digital assets.
In crypto, this might look like one project controlling most of the activity in a specialized area, such as staking or a unique asset class, which wouldn’t appear in a general HHI calculation.
Additionally, HHI may miss key factors like network effects and connections between platforms critical for understanding market health and resilience in crypto. A high HHI score for a protocol does not necessarily mean a lack of competition if it’s deeply integrated with other protocols or benefits from strong network effects.
Other factors, such as liquidity levels, rapid tech changes, user behavior shifts, cross-chain activity, and security risks, are also crucial for assessing market health and resilience in crypto but can be missed by HHI alone.
The Herfindahl-Hirschman Index (HHI) is a straightforward tool for assessing market concentration in the crypto industry. It helps users understand competitive dynamics, spot monopolistic trends, and make informed strategic decisions.
By providing a precise numeric measure, HHI enables users to gauge whether a market segment is highly concentrated or competitive. Its simplicity makes it easy to apply across various crypto segments, from exchanges to stablecoins and DeFi protocols. However, this simplicity has also drawn some criticism.
Additional limitations relate to the volatile and fragmented nature of crypto markets. Rapid shifts in market share can make HHI scores less stable, ignoring regional dominance in global analyses. The metric also doesn’t capture external factors like market sentiment, regulatory changes, or unique crypto elements like network effects and cross-chain activity.
While HHI provides valuable insights for crypto analysis, other metrics and data sources can complement the market’s complexity.
Yes, HHI helps investors assess portfolio concentration, enabling them to manage exposure by balancing holdings based on market concentration indicators. Reliable data on cryptocurrencies, trading volumes, or token distributions is crucial for accurate HHI assessment. Given the variability in data transparency across platforms, ensuring data quality is critical for trustworthy HHI results in crypto. Due to rapid price and market share fluctuations, HHI may need help to reflect accurate concentration in crypto markets. This volatility requires frequent recalculations for HHI to remain a reliable metric in dynamic crypto environments.Does HHI support portfolio management?
Why is data transparency essential for accurate HHI calculations in crypto?
What limitations does HHI face in highly volatile crypto markets?