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Pwc I 2Nd Global Crypto M&A and Fundraising Report
2nd Global Crypto M&A and Fundraising Report April 2020 2 PwC I 2nd Global Crypto M&A and Fundraising Report Dear Clients and Friends, We are proud to launch the 2nd edition of our Global Crypto M&A and Fundraising Report. We hope that the market colour and insights from this report will be useful data points. We will continue to publish this report twice a year to enable you to monitor the ongoing trends in the crypto ecosystem. PwC has put together a “one stop shop” offering, focused on crypto services across our various lines of services in over 25 jurisdictions, including the most active crypto jurisdictions. Our goal is to service your needs in the best possible way leveraging the PwC network and allowing you to make your project a success. Our crypto clients include crypto exchanges, crypto investors, crypto asset managers, ICOs/IEOs/STOs/stable and asset backed tokens, traditional financial institutions entering the crypto space as well as governments, central banks, regulators and other policy makers looking at the crypto ecosystem. As part of our “one stop shop” offering, we provide an entire range of services to the crypto ecosystem including strategy, legal, regulatory, accounting, tax, governance, risk assurance, audit, cybersecurity, M&A advisory as well as capital raising. More details are available on our global crypto page as well as at the back of this report. 2nd Global Crypto M&A and Fundraising Report April 2020 PwC 2 3 PwC I 2nd Global Crypto M&A and Fundraising Report 5 Key takeaways when comparing 2018 vs 2019 There -
The Economic Limits of Bitcoin and the Blockchain∗†
The Economic Limits of Bitcoin and the Blockchain∗† Eric Budish‡ June 5, 2018 Abstract The amount of computational power devoted to anonymous, decentralized blockchains such as Bitcoin’s must simultaneously satisfy two conditions in equilibrium: (1) a zero-profit condition among miners, who engage in a rent-seeking competition for the prize associated with adding the next block to the chain; and (2) an incentive compatibility condition on the system’s vulnerability to a “majority attack”, namely that the computational costs of such an attack must exceed the benefits. Together, these two equations imply that (3) the recurring, “flow”, payments to miners for running the blockchain must be large relative to the one-off, “stock”, benefits of attacking it. This is very expensive! The constraint is softer (i.e., stock versus stock) if both (i) the mining technology used to run the blockchain is both scarce and non-repurposable, and (ii) any majority attack is a “sabotage” in that it causes a collapse in the economic value of the blockchain; however, reliance on non-repurposable technology for security and vulnerability to sabotage each raise their own concerns, and point to specific collapse scenarios. In particular, the model suggests that Bitcoin would be majority attacked if it became sufficiently economically important — e.g., if it became a “store of value” akin to gold — which suggests that there are intrinsic economic limits to how economically important it can become in the first place. ∗Project start date: Feb 18, 2018. First public draft: May 3, 2018. For the record, the first large-stakes majority attack of a well-known cryptocurrency, the $18M attack on Bitcoin Gold, occurred a few weeks later in mid-May 2018 (Wilmoth, 2018; Wong, 2018). -
A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets
Journal of Risk and Financial Management Review A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets Nikolaos A. Kyriazis Department of Economics, University of Thessaly, 38333 Volos, Greece; [email protected] Abstract: This study is an integrated survey of GARCH methodologies applications on 67 empirical papers that focus on cryptocurrencies. More sophisticated GARCH models are found to better explain the fluctuations in the volatility of cryptocurrencies. The main characteristics and the optimal approaches for modeling returns and volatility of cryptocurrencies are under scrutiny. Moreover, emphasis is placed on interconnectedness and hedging and/or diversifying abilities, measurement of profit-making and risk, efficiency and herding behavior. This leads to fruitful results and sheds light on a broad spectrum of aspects. In-depth analysis is provided of the speculative character of digital currencies and the possibility of improvement of the risk–return trade-off in investors’ portfolios. Overall, it is found that the inclusion of Bitcoin in portfolios with conventional assets could significantly improve the risk–return trade-off of investors’ decisions. Results on whether Bitcoin resembles gold are split. The same is true about whether Bitcoins volatility presents larger reactions to positive or negative shocks. Cryptocurrency markets are found not to be efficient. This study provides a roadmap for researchers and investors as well as authorities. Keywords: decentralized cryptocurrency; Bitcoin; survey; volatility modelling Citation: Kyriazis, Nikolaos A. 2021. A Survey on Volatility Fluctuations in the Decentralized Cryptocurrency Financial Assets. Journal of Risk and 1. Introduction Financial Management 14: 293. The continuing evolution of cryptocurrency markets and exchanges during the last few https://doi.org/10.3390/jrfm years has aroused sparkling interest amid academic researchers, monetary policymakers, 14070293 regulators, investors and the financial press. -
3Rd Global Cryptoasset Benchmarking Study
3RD GLOBAL CRYPTOASSET BENCHMARKING STUDY Apolline Blandin, Dr. Gina Pieters, Yue Wu, Thomas Eisermann, Anton Dek, Sean Taylor, Damaris Njoki September 2020 supported by Disclaimer: Data for this report has been gathered primarily from online surveys. While every reasonable effort has been made to verify the accuracy of the data collected, the research team cannot exclude potential errors and omissions. This report should not be considered to provide legal or investment advice. Opinions expressed in this report reflect those of the authors and not necessarily those of their respective institutions. TABLE OF CONTENTS FOREWORDS ..................................................................................................................................................4 RESEARCH TEAM ..........................................................................................................................................6 ACKNOWLEDGEMENTS ............................................................................................................................7 EXECUTIVE SUMMARY ........................................................................................................................... 11 METHODOLOGY ........................................................................................................................................ 14 SECTION 1: INDUSTRY GROWTH INDICATORS .........................................................................17 Employment figures ..............................................................................................................................................................................................................17 -
Trading and Arbitrage in Cryptocurrency Markets
Trading and Arbitrage in Cryptocurrency Markets Igor Makarov1 and Antoinette Schoar∗2 1London School of Economics 2MIT Sloan, NBER, CEPR December 15, 2018 ABSTRACT We study the efficiency, price formation and segmentation of cryptocurrency markets. We document large, recurrent arbitrage opportunities in cryptocurrency prices relative to fiat currencies across exchanges, which often persist for weeks. Price deviations are much larger across than within countries, and smaller between cryptocurrencies. Price deviations across countries co-move and open up in times of large appreciations of the Bitcoin. Countries that on average have a higher premium over the US Bitcoin price also see a bigger widening of arbitrage deviations in times of large appreciations of the Bitcoin. Finally, we decompose signed volume on each exchange into a common and an idiosyncratic component. We show that the common component explains up to 85% of Bitcoin returns and that the idiosyncratic components play an important role in explaining the size of the arbitrage spreads between exchanges. ∗Igor Makarov: Houghton Street, London WC2A 2AE, UK. Email: [email protected]. An- toinette Schoar: 62-638, 100 Main Street, Cambridge MA 02138, USA. Email: [email protected]. We thank Yupeng Wang and Yuting Wang for outstanding research assistance. We thank seminar participants at the Brevan Howard Center at Imperial College, EPFL Lausanne, European Sum- mer Symposium in Financial Markets 2018 Gerzensee, HSE Moscow, LSE, and Nova Lisbon, as well as Anastassia Fedyk, Adam Guren, Simon Gervais, Dong Lou, Peter Kondor, Gita Rao, Norman Sch¨urhoff,and Adrien Verdelhan for helpful comments. Andreas Caravella, Robert Edstr¨omand Am- bre Soubiran provided us with very useful information about the data. -