CRIX an Index for cryptocurrencies
By Simon Trimborn, Wolfgang Karl Härdle. Journal of Empirical Finance, 2018
156 citations recorded by the source corpus.
The cryptocurrency market is unique on many levels: Very volatile, frequently changing market structure, emerging and vanishing of cryptocurrencies on a daily level. Following its development became a difficult task with the success of cryptocurrencies (CCs) other than Bitcoin. For fiat currency markets, the IMF offers the index SDR and, prior to the EUR, the ECU existed, which was an index representing the development of European currencies. Index providers decide on a fixed number of index constituents which will represent the market segment. It is a challenge to fix a number and develop rules for the constituents in view of the market changes. In the frequently changing CC market, this challenge is even more severe. A method relying on the AIC is proposed to quickly react to market changes and therefore enable us to create an index, referred to as CRIX, for the cryptocurrency market. CRIX is chosen by model selection such that it represents the market well to enable each interested party studying economic questions in this market and to invest into the market. The diversified nature of the CC market makes the inclusion of altcoins in the index product critical to improve tracking performance. We have shown that assigning optimal weights to altcoins helps to reduce the tracking errors of a CC portfolio, despite the fact that their market cap is much smaller relative to Bitcoin. The codes used here are available via www.quantlet.de.
Subfields: Economics and Econometrics, Information Systems, Strategy and Management
View Paper: https://www.semanticscholar.org/paper/2383ac19f0a49d281fdd5e990bf2559f0a191124
Citations in the corpus
- Are Blockchain Crowdsales the New 'Gold Rush'? Success Determinants of Initial Coin Offerings (2018, unknown): “…1) it provides widespread coverage of the crypto-asset universe, with 1,887 crypto-assets as of June 30, 2018, 2) is free from survivorship bias and translation errors, and 3) it was the data source used by the first cryptocurrency benchmark index in the literature (Trimborn and Hardle, 2018).”