Royalton CRIX Index

Daily index levels, shown on an as-is basis and not intended for commercial use. See the Terms of Use.

VCRIX Index

Daily levels of the VCRIX volatility index, shown on an as-is basis and not intended for commercial use. See the Terms of Use.

ROYALTON CRIX CRYPTO INDEX

Royalton CRIX Crypto Index was developed by professor Wolfgang Karl Härdle and his team of researchers from Humboldt University in Berlin and acquired by Royalton Partners in 2021. The index allows to trace the evolution of diverse and fast changing crypto market with small number of constituents.

Royalton CRIX Crypto Index is calculated by Royalton Partners AG. Historical data are available from 16 March 2018.

In case you are interested in licensing the index, please contact us at [email protected].

The composition of the index is not published on this website. Access to the index constituents can be licensed from Royalton Partners AG.

This website: www.royalton-crix.com presents technical data including detailed methodology and historical performance since inception. Please note that the data presented on the www.royalton-crix.com website are not intended for commercial use and presented only on “as is” basis subject to Terms of Use. Please note that for the years 2016-2018, Royalton CRIX Crypto Index was calculated using different data source than for commercially distributed index data.

CRYPTO MARKET INDEXING CHALLENGE

The cryptocurrency market is unique: volatile with frequently changing market structure where new cryptocurrencies emerge and vanish daily. Following market developments becomes a challenge.

As cryptocurrencies became an investable asset class, a need for an index product emerged.

Some currency indices already exist. Fiat currency markets have SDR offered by the IMF. Prior to the launch of EUR, the ECU existed, which was an index representing the development of European currencies. Typically, index providers decide on a fixed number of constituents to represent the market. It is usually a challenge to agree on a fixed set of constituents and rules. In the frequently changing cryptocurrency market, this challenge is even more severe.

ROYALTON CRIX CRYPTO INDEX SOLUTION

An intuitive choice of index constituents would consider a large number of coins in order to represent the underlying market well. Conversely, financial practice has shown that inclusion of too many smaller coins creates liquidity and tradability issues. Given the rapidly evolving nature of many cryptocurrencies in conjunction with possible liquidity problems for smaller index candidates, the necessity for a tradeoff is evident.

The diversified nature of the cryptocurrency market makes the inclusion of smaller coins in the index critical to improve tracking performance. The research of Professor Härdle has shown that assigning optimal weights to selection of constituents helps to reduce the tracking error of a cryptocurrency portfolio, despite the fact that market caps of some constituents are much smaller relative to Bitcoin.

Methodology

Royalton CRIX Crypto Index:

The Royalton CRIX Crypto Index is a market index and follows the Laspèyres construction. The index of Laspèyres is defined as

Laspeyres index formula

with Pit the price of the crypto i at time point t and Qi0 the amount of crypto i at time point 0. Pi0 is the price at time point 0. The Royalton CRIX Crypto Index is a slight modification

CRIX index formula

where MVit is the market capitalization of the crypto i at time point t. The Divisor ensures that the changes are stable. The Divisor is

Divisor formula

The starting value of the Royalton CRIX Crypto Index is therefore 1000. Whenever the amount of coins of a crypto changes, the Divisor is adjusted. This ensures that only price changes cause changes in Royalton CRIX Crypto Index.

Divisor adjustment formula

Divisort-1 is the Divisor before the change in the amount of coins and Divisort directly afterwards.

Constituents

It may happen, that a crypto has a high market capitalization, but is not traded frequently. One modified version of a liquidity rule from the STOXX Japan 600 and the AEX Family is employed. The applied rule is the following:

ADTV liquidity rule

where ADTV0.25 is the 0.25 percentile of the ADTV distribution of all cryptos in the last period and ADTVi is the ADTV of a single crypto.

If a crypto fulfills the rule, it is eligible for the Royalton CRIX Crypto Index set of constituents.

Number of Constituents

A fixed number of constituents may be a good approach for relatively stable markets. The amount of constituents in the Royalton CRIX Crypto Index is computed using a dynamic approach based upon the CRIX Technology Decision Criterion (CTDC).

(US Patent Pending; Docket Number: RPAG-100USP; U.S. Patent Application Serial No.: 63/183,373)

Weights

Each crypto in Royalton CRIX Crypto Index is weighted with its market capitalization.

Reallocation

Each quarter, the constituents are reevaluated.

Each month, the constituents are rebalanced.

CRIX Board

01

Simon Trimborn

Simon serves as an independent director of the Royalton CRIX crypto index fund general partner SA. He is also a member of the Royalton CRIX index board charged with overseeing the Royalton CRIX crypto index. He is an Assistant Professor of Econometrics and Data Science Amsterdam School of Economics University of Amsterdam and was formerly an Assistant Professor at Department of Management Sciences, College of Business, City University of Hong Kong. Simon was part of the team that created the Royalton CRIX crypto index. Simon holds a PHD in Economics and Management Science and a master’s degree in Statistics from the Humbolt University of Berlin.

02

Cathy Yi-Hsuan Chen

Cathy Yi-Hsuan Chen is a professor in Finance at Adam Smith Business School in the University of Glasgow since March 2019. Previously she held a professorship in the School of Business & Economics in Humboldt-Universität zu Berlin, and the Mercator Fellow of International Research Training Group 1792 – High Dimensional Non-Stationary Time Series. She is an associate editor of Digital Finance and also Computational Statistics.

Contributors

P

Prof. Dr. Wolfgang Karl Härdle

Prof. Dr. Wolfgang Karl Härdle is the director of the Ladislaus von Bortkiewicz chair of statistics at the Humboldt-University in Berlin. He is the theoretical core driver behind the project and gives scientific advice.

D

David Lee Kuo Chuen

David Lee founded Ferrell Asset Management in 1999 and is the Director of Sim Kee Boon Institute for Financial Economics. He is the Practice Professor of Quantitative Finance in Singapore Management University and graduated from the London School of Economics and Political Science with a PhD. He gives scientific advice and supports the project together with his institute.

H

Hermann Elendner

Hermann Elendner is a professor at the School of Business & Economics in Humboldt-Universität zu Berlin. He studies the cross section of cryptocurrencies and the gains from using CRIX as an investment vehicle.

P

Przemysław Bielicki

Przemysław has over 25 years of experience in the financial services industry. Przemysław is a member of the investment committees of the funds managed by Royalton Partners and member of the boards of portfolio companies engaged in infrastructure, real estate, retail and IT. Przemysław started his career as a civil engineer and holds a Master of Science degree in Civil Engineering from the Technical University of Poznań and an MBA from INSEAD, France.

A

Alisa Kolesnikova

Alisa Kolesnikova is a researcher at Humboldt University focusing on machine learning and statistics with a Master degree in Management from St. Andrews University. She is a creator of the VCRIX volatility index and is now applying her finance experience in integration of scientific research into financial practices.

E

Ernie Gin Swee Teo

Ernie Teo obtained his Ph.D. in Economics from the University of New South Wales in 2008. He is a research fellow at the Sim Kee Boon Institute for Financial Economics, Singapore Management University. He joined the institute after his extensive teaching experience as an Assistant Professor at Nanyang Technological University. He gives scientific advice to the CRIX project.

T

TM Lee

TM is is the chief tech guy of CoinGecko. He holds a BS in Computer Science and a minor in Psychology from Purdue University. TM is a product engineer who loves building stuff from the ground up.

B

Bobby Ong

Bobby is the chief economist of CoinGecko. He graduated with a degree in Economics from University College London in 2012. Bobby also curates AltcoinWeekly, a weekly cryptocurrency newsletter.

S

Shi Chen

Shi Chen is a research assistant at the Humboldt-University in Berlin. She holds an M.Sc. in Economics and Management Science from Humboldt-University, and B.Sc. degrees in Engineering and Economics from Xiamen University. Shi gives an econometric analysis of the CRIX family for portfolio investment.

J

Julian Winkel

He holds a M.Sc. in Statistics from Humboldt University Berlin, where he is currently enrolled as a Ph.D. student and a member of the IRTG 1792. His research is focussed on pricing kernels and reproducibility. For the previous five years, he was employed as a Data Scientist for the wealth manager growney.

References

Publications

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