How To Value Smart Contract Platforms?

January 2022
By Martin Leinweber, Digital Asset Product Strategist

When we talk about the world of smart contract investing, there’re over 60 Layer 1 & Layer 2 chains. A framework is needed to help investors to assess which ones will win. Most investors focus on the speed and throughput of those chains. But very often, factors such as size and productivity of applications built on top are of equal importance. Think of its on-chain GDP.

There are two ways for valuing base chain protocols: Company valuation models and network models.

  • Company valuation models: Some people apply value investing framework for stocks to blockchains, and come up with price/earnings, price/sales ratios for ETH, SOL, AVAX etc. While this approach is applicable to digital applications such as DeFi, it’s not the ideal valuation method for public blockchains, which act more like a sovereign economic ecosystem. It’s not all about earnings for public blockchains, it’s about increasing the network value. If Ethereum cuts average gas fee by half tomorrow, other things equal the P/E ratio would double. Does that mean Ethereum is doubly overvalued? The opposite would be true and very likely lower gas fees would increase the demand for the chain.

 

  • Network models: The network effect was popularized by the work of Robert Metcalfe, one of the co-inventors of Ethernet and co-founder of network equipment manufacturer 3Com Corporation. The network effect describes how the utility, and therefore the potential value, of a network changes as a function of the number of subscribers. As with a telephone network, the utility of any network grows with the number of active users. Metcalfe formulated a formula for the valuation of networks, which is known today as Metcalfe's Law. The growth can be indirectly inferred from growth rates of transactions, wallets, TVL, etc.

 

Being on top of every development just for a sub-set of the crypto universe is arguably a full time job, and you need, or will soon need, a small team just to keep up with one of those segments. The MVIS CryptoCompare Smart Contract Leaders Index (ticker: MVSCLE) is designed to track the performance of the largest and most liquid smart contract assets. A sector index can help to discern the value drivers of the whole space and bring more transparency in the performance measurement of crypto portfolios.

MVIS CryptoCompare Smart Contract Leaders Index

 

31/12/2020-31/12/2021

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

 

Source: MV Index Solutions. All values are rebased to 100. Data as of 31 December 2021.

 

 

About the Author:
 

Martin Leinweber is an expert in fundamental and quantitative trading strategies. He sees cryptoassets as a fundamental building block for investors to achieve their return targets in a low interest rate environment. He works as a Digital Asset Product Strategist at MV Index Solutions providing thought leadership in an emerging asset class. His role encompasses product development, research and the communication with the client base of MVIS. Prior to joining MVIS, he worked as a portfolio manager for equities, fixed income and alternative investments for almost two decades. He was responsible for the management of active funds for institutional investors such as insurance companies, pension funds and sovereign wealth funds at the leading German quantitative asset manager Quoniam. Previously, he held various positions at one of Germany's largest asset managers, MEAG, the asset manager of Munich Re and ERGO. Among other things, he contributed his expertise and international experience to the establishment of a joint venture with the largest Chinese insurance company PICC in Shanghai and Bejing. Martin Leinweber is co-author of „Asset-Allokation mit Kryptoassets. Das Handbuch“ (Wiley Finance, 2021). It’s the first handbook about integrating digital assets into traditional portfolios. He has a Master in Economics from the University of Hohenheim and is a CFA Charterholder.

The article above is an opinion of the author and does not necessarily reflect the opinion of MV Index Solutions or its affiliates.

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