Blockchain Papers

Xing Bao, Prakash Mirchandani, Jennifer Shang

No abstract is available for this record.

Chiu-Ming Hsiao

No abstract is available for this record.

Efstathios Polyzos, Mieszko Mazur

No abstract is available for this record.

Kanis Saengchote, Tālis J. Putniņš, Krislert Samphantharak

Decentralized Finance (DeFi) is built on a fundamentally different paradigm: rather than having to trust individuals and institutions, participants in DeFi potentially only have to trust computer code that is enforced by a decentralized network of computers. We examine a natural experiment that exogenously stress tests this alternative paradigm by revealing the identities of individuals associated with a DeFi protocol, including a convicted criminal. We find that, in practice, DeFi does not (yet) fully remove the need for trust in individuals. Our findings suggest that that because smart contracts are incomplete, they are subject to run risk (Allen and Gale, 2004) and personal character and trust of individuals are still relevant in this alternative financial system.

Yu Wang

No abstract is available for this record.

Lennart Ante

This paper investigates the market reaction to large positive or negative liquidity shocks on the value of tokens traded on decentralized exchanges (DEXes) on the Ethereum blockchain. Automated market makers (AMMs) and constant product markets provide transparent and decentralized ways to directly swap two blockchain tokens for each other via the use of liquidity pools. Using trade-by-trade data of 2.77 million swaps of 14 different tokens traded on Uniswap v2, v3 and SushiSwap, we find that the size of sell orders significantly correlates with negative future token returns, while buy size positively correlates with future token returns. Using an event study approach, we quantify the market reaction of unusually large sell and buy orders (top 1% percentile) and identify that the market reaction outweighs the economic value of the event by a factor of -7.4 for sell orders and +4.4 for buy orders over a short-span trading window. In the case of sell orders, a high proportion of the abnormal return is already realized before the event, which indicates informed trading in the form of arbitrage or frontrunning via Miner Extractable Value (MEV). Looking at individual crypto assets, we find a mean reassessment of token value following short sales of up to 0.79% within just one follow-up trade (buy orders up to 0.50%). The findings indicate that price shocks may have a signaling effect but also that market capitalization may be an insufficient metric for assessing the liquidity and valuation of (inefficient) crypto assets. The results suggest multiple challenges for investor protection in decentralized finance (DeFi) markets.

Douglas J. Cumming, Niclas Dombrowski, Wolfgang Drobetz, Paul P. Momtaz

No abstract is available for this record.

Yong Li, Fan Zhang

This paper integrates vertical fiscal imbalance, transfer payments and fiscal sustainability into the framework of Chinese-style fiscal decentralization, and systematically interprets the relationship among them. Then we use the concept of effective fiscal space to quantify fiscal sustainability, and empirically study whether and to what extent the local public finance in China is sustainable, as well as the impact of fiscal vertical imbalance and transfer payment system on local fiscal sustainability. The results show that the current fiscal behaviors of China's local governments are unsustainable, but most of them have sufficient space to establish a positive fiscal feedback mechanism through fiscal adjustment to achieve sustainable development of debt. Moreover, the comprehensive impact of transfer payment on fiscal sustainability is positive, which suggests that the positive effect of transfer payments on governments' fiscal behaviors through incentives and accountability mechanisms and filling fiscal gap is greater than the distorting effect of the moral hazard and “flypaper effect.”

Nathan Schneider

This article presents a survey of broad-based stakeholder-ownership models for journalism. The models considered are forms of ownership by employees, associations, audiences, and blends of these. Some of the examples are so new that they have not been, and cannot yet be, comprehensively studied. Yet they bear unique promise for addressing the dual challenges of economic sustainability and perceived accountability that bedevil news media today. Such promise, however, does not guarantee success. While broad-based stakeholder ownership in the news business shows capacity for public accountability, as well as some promise for business sustainability, it is ill-equipped to compete in markets organized to favor investor-owners with far greater capital access. Such ownership models, therefore, will likely require additional policy support to gain and maintain significant market share.

Lin William Cong, George Andrew Karolyi, Ke Tang, Weiyi Zhao

No abstract is available for this record.

Danqi Hu, Sarit Markovich, Valerie Zhang

Using data from one of the first and most popular decentralized lending protocols, MakerDao, we study whether computer-language-based information lends itself for the efficient use of information in a market that features real-time transparency. We first find that there is persistent cross-sectional difference in performance, where persistence increases with investors sophistication. We then study how different types of processing costs affect the extent to which investors use past loan performance to mimic experts in real time (i.e., efficient mimicking). Our results show that awareness costs, proxied by loan activity level, hinder efficient mimicking. More importantly, acquisition and integration costs associated with translating code-based information into useful trading signals impedes investors’ ability to take advantage of information embedded in smart contracts. Our paper has important implications for regulators and practitioners aiming at more efficient use of information in smart contracts and on blockchain.

Victor von Wachter, Johannes Rude Jensen, Ferdinand Regner, Omri Ross

The smart contract-based markets for non-fungible tokens (NFTs) on the Ethereum blockchain have seen tremendous growth in 2021, with trading volumes peaking at 3.5b in September 2021. This dramatic surge has led to industry observers questioning the authenticity of on-chain volumes, given the absence of identity requirements and the ease with which agents can control multiple addresses. We examine potentially illicit trading patterns in the NFT markets from January 2018 to mid-November 2021, gathering data from the 52 largest collections by volume. Our findings indicate that within our sample 3.93% of addresses, processing a total of 2.04% of sale transactions, trigger suspicions of market abuse. Flagged transactions contaminate nearly all collections and may have inflated the authentic trading volumes by as much as 149,5m for the period. Most flagged transaction patterns alternate between a few addresses, indicating a predisposition for manual trading. We submit that the results presented here may serve as a viable lower bound estimate for NFT wash trading on Ethereum. Even so, we argue that wash trading may be less common than what industry observers have previously estimated. We contribute to the emerging discourse on the identification and deterrence of market abuse in the cryptocurrency markets.

Mieszko Mazur

The risk and return characteristics of NFT-based companies listed on the cryptocurrency market are investigated in this study. The current spike in NFT activity among creators, investors, and traders has prompted our inquiry. The study start by proposing a new classification system for existing NFTs, ranging from NFT blockchains to NFT metaverses to NFT. Next, the study show that NFTs. Earn 130 percent on the first day of trading; Have a long-term investment multiple of 40 (approximately 4,000 percent), which is four times larger than bitcoin; and have positive and strong alpha and above-average beta. The research also show that following the mid-2021 meltdown, the NFT portion of the cryptocurrency market leads market recovery and generates a return of about 350 percent. The paper's conclusion is that integrating NFT infrastructure into current blockchains increases the market value of these networks. Keywords: NFT, Cryptocurrency, Blockchain, Digital Currency, Binance.

Wulf A. Kaal

Venture capital (VC) models can be optimized with emerging decentralized technology. There are many disadvantages that come with traditional VC fundraising including illiquidity and ownership struggles, as well as timing. This paper will discuss alternative funding mechanisms that may be available and advantageous to emerging businesses. After discussing the shortcomings of the existing VC market and the rise of alternative early round funding mechanisms, the paper highlights the evolution of VC businesses that are operated by a Decentralized Autonomous Organization (DAO). More specifically, models discussed in this article contribute to the much-needed experimentation with venture capital reputation models.

Jannik Lockl, Jens-Christian Stoetzer

During the global financial crisis in 2008, trust in established financial intermediaries declined sharply. In reaction, blockchain technology was developed as an alternative system to facilitate financial transactions devoid of intermediaries. The application of blockchain in the financial sector brought a new paradigm called Decentralized Finance. Employing a modified technology acceptance model, our study aims at examining the relationship of distrust in financial intermediaries and consumer’s behavioral intention to use Decentralized Finance. Even though this relationship is well-documented regarding the motivation of the development of blockchain technology, as well as in cases of unstable financial systems, empirical data from our survey research does not support this relationship in the context of consumer adoption. Our study contributes to the theory on the foundations of DeFi and the impact of blockchain technology, which must be revised by future research. Further, we propose a trust paradox in the financial sector.

Christian Fisch, Michele Meoli, Silvio Vismara

Initial coin offerings (ICOs) are one of the major innovations that characterize the digital revolution of financial markets. Among the expectations created by the digital revolution is the democratization of entrepreneurial finance, defined in terms of the creation of more equality regarding the access to financial resources by categories known to be underrepresented among potential entrepreneurs. Following this line of research, we investigate, through two complementary empirical studies, whether gender, ethnicity, and geography affect the choice of ICOs vs. traditional financing alternatives. Additionally, we assess whether these characteristics increase the amount of money an entrepreneur can raise. In Study I, we compare 390 ICO ventures to a sample of 1,078 VC-backed blockchain ventures, identifying a negative correlation between the choice of an ICO (vs. VC-backing) and a location in an urban area. In Study II, we compare 160 ICO ventures to 163 real estate investment trusts (REITs), reaffirming the results of Study I. The findings show significant participation and likelihood of successful campaigns for ethnical minorities in ICOs, with the latter also being able to collect, ceteris paribus, larger amounts of funding. In contrast, female entrepreneurs do not have higher chances to participate nor raise funds in ICOs.

Lipai Zhang, Wenling Yu, Xiqiang Xia

Real estate industry is related to the national economy and people's livelihood，characterized by a high degree of financial intensity. The enterprises in this industry need certain financial ability and large shareholder controlling ability to support their survival. However，due to the multiple adverse impacts of current state policies，banks and private capital，the credit crunch，the sudden decrease in withdrawn funds and the limitation of internal financing，the problem of capital restraint of real estate enterprises has become more and more serious. From the perspective of corporate governance，this paper studies the interaction among financial constraints，ownership concentration and corporate performance under different shareholding states by analyzing the quantitative characteristics of equity structure，and looks for the appropriate range of the largest shareholder holding ratio，which has considered the financial performance and risk. It is found that raising the ownership concentration can effectively ease the financing constraints and improve the performance of enterprises，both of which are significant under the state of high ownership concentration， while the financial constraints play a significant intermediary effect under the State of absolute holding， while in the decentralized state of ownership，there is a significant regulatory effect，and the interaction of the three will be different due to the size of the enterprise.

Sulafa Badi, Edward G. Ochieng, Mohamed Nasaj, Maria Papadaki

This study aims to identify the factors that influence the adoption of smart contracts in the UK construction sector. A deductive questionnaire-based approach informed by the technology-organisation-environment (TOE) model is adopted. The framework is comprised of twelve independent variables and one dependent variable of smart contracts use intention. Ten hypotheses are developed to statistically test the causal relationships between the eleven variables of the research model. The study adopts a convenience sampling approach, with the population of interest being primarily drawn from among UK construction practitioners. The results generated from linear regression analysis suggest that the following four factors have a significant influence on the adoption of smart contracts: supply chain pressure, competitive pressure, top management support, and observability. The descriptive statistics obtained also offer a greater understanding of the perceptions and attitudes towards smart contracts across the UK construction sector. The results demonstrate the usefulness of a perception-based model that utilises the TOE framework to assess facets that influence the adoption of smart contracts. The study contributes to innovation diffusion studies in construction project management and supports “early adopters” at the footfall of the technology’s diffusion curve.

Susanne Schwill

ABSTRACT: We study the ability of hedge funds to restructure target firms. A purchase of at least 3% of a target firm’s stake is subject to a 13D SEC Filing in the US. We use these filings to investigate the impact of such transactions in the period 2009–2020. Our method of choice is the event study approach. We set the event on the date of the transaction and compute cumulative abnormal returns (CARs) within a specified event window. Based on accounting metrics, such as return on equity and return on assets, we study how restructuring impacts target company’s capital structure. Based on SEC Section 13G filings, we are further able to distinguish between acquisitions with active and passive aims. We find that firms targeted for active purposes achieve higher abnormal returns and overall higher performance. We further look on the impact of the overall stock-market cycle on abnormal returns. We find that the level of abnormal returns for actively targeted companies remains higher with no regard to the market cycle. Based on these findings, we draw conclusions on the overall impact of hedge fund activism. KEY WORDS: Hedge funds, Shareholder Activism, Abnormal Returns, Event study, Restructuring

Loha Hashimy, Philipp Sandner

There is disagreement in the literature concerning the impact of regulations on firms’ development. While some researchers believe that regulation impedes companies’ development (Poel et al., 2014; Jalilian et al., 2007), others argue that regulations enable companies’ development (Peck et al., 2018; Mayson et al., 2014). This paper aims to contribute to a better understanding of the impact of financial regulations on development of Distributed Ledger Technology (DLT) firms. In-depth semi-structured open-ended interviews have been conducted with 20 Small Medium Enterprise (SME) DLT companies in Europe during April and May 2019. Our results show that the expected impact of financial regulation can be ambiguous as it can both enable and constrain a firm’s development. This is in line with Kitching et al. (2015) theory of regulation as a dynamic force.

Nipun Agarwal

An early stage funding platform using cryptocurrency smart contracts can potentially provide an equity and debt capital raising platform for new ventures compared to crowdfunding, initial coin offerings (ICOs) and seed funding. The existing capital raising methods are less transparent, have limited depth of funding and less diversification. Utilising a cryptocurrency smart contract-based early stage funding platform will allow new ventures to obtain a staged funding environment, starting from seed funding. Each stage of funding can be represented by a smart contract that is aligned to a formal standardised legally binding contract between the venture and investors through the platform. Competition for funds and a transparent smart contract-based platform should allow free markets to price investments in the new venture in a more efficient fashion. Additionally, such a platform should provide more funding opportunities to new ventures that weren't available prior.

Anne Veerpalu

The article focuses on whether it is possible to use new technologies such as distributed ledger technology (DLT) in shareholder ledger maintenance systems. The article uses Estonia as an example to describe the shortcomings of shareholder ledger maintenance regulation and possible suggestions for reform and applies the principle of technology-neutrality to the subject matter to assess whether the regulation allows the adoption of new technologies, such as DLT, in ledger maintenance. The aim of the principle of technology-neutrality is to secure that the regulator does not create regulation that prefers any particular technology and discriminates against other technologies. Any regulation that is built around a pre-existing technology could suffer from preferring the use of that particular technology and consequently hinder innovation. In the article it is examined whether the ledger maintenance models used in Estonia are benefitting or suffering from the non-existence of technology-neutral technical standards for ledger maintenance and whether the differentiation of treatment of shareholder ledger administrators is justified on the basis of the principle of technology-neutrality.

Stephanie F. Cheng, Gus De Franco, Haibo Jiang, Pengkai Lin

This paper provides evidence on public firms’ initial 8-K disclosures that mention Blockchain and investors’ response to these disclosures. We categorize the description of Blockchain activities in firms’ 8-Ks as Speculative (e.g., a vague future plan that involves Blockchain) or Existing (e.g., a description of Blockchain product). We document a sharp increase in the number of initial 8-K disclosures of Blockchain, particularly by Speculative firms, coinciding with the rise of Bitcoin prices and excitement in Blockchain technology in the last quarter of 2017. Investors react positively to the Blockchain 8-Ks issued by Speculative firms in the initial seven-day event window although the reaction is mostly reversed over the 30 days following the disclosure. The reaction is stronger when Bitcoin returns are more positive. Overall, our results are consistent with a situation that troubles the SEC and the financial press: investors overreact to a firm’s first 8-K disclosure of a potential foray into Blockchain technology and that overreaction is a function of the Bitcoin price bubble. This paper was accepted by Brian Bushee, accounting.

Paul P. Momtaz

This paper provides the first evidence of a moral hazard in signaling in an entrepreneurial finance context, by examining token offerings or Initial Coin Offerings (ICOs). Entrepreneurs' ability to signal quality is crucial to succeeding in the competition for growth capital. However, the absence of institutions that verify endogenous signals may induce a moral hazard in signaling. Consistent with this hypothesis, artificial linguistic intelligence indicates that token issuers systematically exaggerate information disclosed in whitepapers. Exaggerating entrepreneurs raise more funds in less time, suggesting that investors do not see through this practice initially. Eventually, the crowd learns about the exaggeration bias through trading with other investors. The resulting investor disappointment causes the cryptocurrency to depreciate and the probability of platform failure to increase.