Authors:
(1) Pietro Saggese, Complexity Science Hub Vienna (CSH);
(2) Esther Segalla, Oesterreichische Nationalbank (OeNB);
(3) Michael Sigmund, Oesterreichische Nationalbank (OeNB);
(4) Burkhard Raunig, Oesterreichische Nationalbank (OeNB);
(5) Felix Zangerl, Austrian Financial Market Authority (FMA);
(6) Bernhard Haslhofer, Complexity Science Hub Vienna (CSH). Table of Links Abstract and 1. Introduction Background and related literature
VASPs: A Closer Examination
Measuring VASPs Cryptoasset Holdings
Closing The Data Gap
Conclusions, Declaration of Competing Interest, and References Appendix A. Supplemental material Appendix A. Supplemental material In this appendix we report additional information about how many VASPs offer several services or support multiple coins (Figure A.1). Most VASPs (N = 14) provide services on cryptoassets of three or more different DLTs; N = 11 VASPs provide only one service, and N = 7 offer three different services. Furthermore, we provide further insights on the address clustering technique utilized and on the data gathering procedure. The address clustering we implement relies on the multi-input technique discussed in Androulaki et al. (2013); Ron & Shamir (2013); Meiklejohn et al. (2016). It assumes that the addresses utilized as input in a Bitcoin transaction must be controlled by the same entity. If addresses are reused across transactions, then multiple input addresses can be associated as belonging to the same entity. We note that in this study we computed the VASP balances by analyzing the flows at the level of clusters. We also repeated the analysis at the address level, and found minor inconsistencies most likely due to rounding errors. Next, we report additional information on the addresses we utilized to identify VASPs. The full list of addresses used is reported in Tables A.1 and A.2. As explained in Section 4.1, we first exploited a collection of tagpacks that associate addresses to the entities controlling them. Furthermore, to increase our dataset sample, we conducted manual transactions against the VASPs that were already in our sample. This led to the identification of 9 new addresses and their corresponding clusters, that we highlight in light gray in Tables A.1 and A.2. We further expanded the dataset by conducting transaction pattern analyses of the new collected addresses. We identified 7 additional addresses that follow specific patterns indicating the redirection of funds from temporary addresses to collector wallets. These are highlighted in Tables A.1 and A.2 in darker gray. Finally, Table A.3 reports the VASP categorization by their service offering according to their online documentation. This paper is available on arxiv under CC BY 4.0 DEED license. Authors: (1) Pietro Saggese, Complexity Science Hub Vienna (CSH); (2) Esther Segalla, Oesterreichische Nationalbank (OeNB); (3) Michael Sigmund, Oesterreichische Nationalbank (OeNB); (4) Burkhard Raunig, Oesterreichische Nationalbank (OeNB); (5) Felix Zangerl, Austrian Financial Market Authority (FMA); (6) Bernhard Haslhofer, Complexity Science Hub Vienna (CSH). Authors: Authors: (1) Pietro Saggese, Complexity Science Hub Vienna (CSH); (2) Esther Segalla, Oesterreichische Nationalbank (OeNB); (3) Michael Sigmund, Oesterreichische Nationalbank (OeNB); (4) Burkhard Raunig, Oesterreichische Nationalbank (OeNB); (5) Felix Zangerl, Austrian Financial Market Authority (FMA); (6) Bernhard Haslhofer, Complexity Science Hub Vienna (CSH). Table of Links Abstract and 1. Introduction Abstract and 1. Introduction Background and related literature VASPs: A Closer Examination Measuring VASPs Cryptoasset Holdings Closing The Data Gap Conclusions, Declaration of Competing Interest, and References Background and related literature Background and related literature VASPs: A Closer Examination VASPs: A Closer Examination Measuring VASPs Cryptoasset Holdings Measuring VASPs Cryptoasset Holdings Closing The Data Gap Closing The Data Gap Conclusions, Declaration of Competing Interest, and References Conclusions, Declaration of Competing Interest, and References Appendix A. Supplemental material Appendix A. Supplemental material Appendix A. Supplemental material In this appendix we report additional information about how many VASPs offer several services or support multiple coins (Figure A.1). Most VASPs (N = 14) provide services on cryptoassets of three or more different DLTs; N = 11 VASPs provide only one service, and N = 7 offer three different services. Furthermore, we provide further insights on the address clustering technique utilized and on the data gathering procedure. The address clustering we implement relies on the multi-input technique discussed in Androulaki et al. (2013); Ron & Shamir (2013); Meiklejohn et al. (2016). It assumes that the addresses utilized as input in a Bitcoin transaction must be controlled by the same entity. If addresses are reused across transactions, then multiple input addresses can be associated as belonging to the same entity. We note that in this study we computed the VASP balances by analyzing the flows at the level of clusters. We also repeated the analysis at the address level, and found minor inconsistencies most likely due to rounding errors. Next, we report additional information on the addresses we utilized to identify VASPs. The full list of addresses used is reported in Tables A.1 and A.2. As explained in Section 4.1, we first exploited a collection of tagpacks that associate addresses to the entities controlling them. Furthermore, to increase our dataset sample, we conducted manual transactions against the VASPs that were already in our sample. This led to the identification of 9 new addresses and their corresponding clusters, that we highlight in light gray in Tables A.1 and A.2. We further expanded the dataset by conducting transaction pattern analyses of the new collected addresses. We identified 7 additional addresses that follow specific patterns indicating the redirection of funds from temporary addresses to collector wallets. These are highlighted in Tables A.1 and A.2 in darker gray. Finally, Table A.3 reports the VASP categorization by their service offering according to their online documentation. This paper is available on arxiv under CC BY 4.0 DEED license. This paper is available on arxiv under CC BY 4.0 DEED license. available on arxiv

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Assessing VASP Solvency For Cryptoassets: A Closer Examination

Assessing VASP Solvency For Cryptoassets: Abstract and Introduction

Assessing VASP Solvency For Cryptoassets: Background and related literature

Assessing VASP Solvency For Cryptoassets: A Closer Examination

Assessing VASP Solvency For Cryptoassets: Measuring VASPs Cryptoasset Holdings

Assessing VASP Solvency For Cryptoassets: A Closer Examination

Assessing VASP Solvency For Cryptoassets: Abstract and Introduction

Assessing VASP Solvency For Cryptoassets: Background and related literature

Assessing VASP Solvency For Cryptoassets: A Closer Examination

Assessing VASP Solvency For Cryptoassets: Measuring VASPs Cryptoasset Holdings

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