Florian Glaser

Pervasive Decentralisation of Digital Infrastructures: A Framework for Blockchain enabled System and Use Case Analysis

Technological innovation and consequential decentralisation are driving forces in the ongoing evolution and increasing openness of digital infrastructures and services. One of the most discussed and allegedly disruptive innovations is the distributed database technology referred to as blockchain. Although it is still in its technological infancy, experimental adoption and customization seem to be in full progress in various potential fields of application ranging from decentralized grids for computation and storage to global financial services. However, the technology and its path of development still entail a lot of common unknowns for practitioners and researchers alike. Especially regarding the question how the technology could amend or be incorporated into the existing landscape of digital services, processes and infrastructures. Hence, in this article we develop an ontology that (1) clearly delineates common terminology, core concepts and components, their relationships as well as innovative features of blockchain technology. It further (2) connects these insights with implications for relevant types of digital market models. Our framework is of high theoretical and practical value as it provides researchers and practitioners a common basis for communication and means for guided analysis of blockchain applicability.

Effects of transparency: analyzing social biases on trader performance in social trading

Social Trading platforms combine the trading functionalities of classical online broker services with the communication and interaction features of social networks. Next to following other users’ profiles, a main characteristic of social trading platforms is the possibility to follow other users by automatically copying their trades. By being a technologically based financial intermediary that enables individual profit maximization, social trading platforms constitute a contemporary example of financialization. Our empirical analysis of the behavior of traders on a social trading platform provides new insights on financialization related questions regarding the influence of transparency and interaction in delegated investment environments. The disposition effect is a well-studied behavioral bias of investors and traders. Human investors tend to realize returns of their winning positions too early and let unfavorable positions accumulate losses for too long. We find that on social trading platforms the traders’ sensitivity to the disposition effect is influenced by the amount of attention they receive from their followers who invested capital into the traders’ strategy. These novel insights propose a link between principal-agent theory and the disposition effect induced by transparency mechanisms. We extend the literature on trader-investor interaction channels in social trading networks. The results obtained in a social network environment are of high relevance for regulators who have a strong focus on customer protection and financial services regulation. They also provide guidelines for platform designers, traders, investors and social trading platform operators.

Towards an economic analysis of routing in payment channel networks

Payment channel networks are supposed to overcome technical scalability limitations of blockchain infrastructure by employing a special overlay network with fast payment confirmation and only sporadic settlement of netted transactions on the blockchain. However, they introduce economic routing constraints that limit decentralized scalability and are currently not well understood. In this paper, we model the economic incentives for participants in payment channel networks. We provide the first formal model of payment channel economics and analyze how the cheapest path can be found. Additionally, our simulation assesses the long-term evolution of a payment channel network. We find that even for small routing fees, sometimes it is cheaper to settle the transaction directly on the blockchain.

Robo-Advisory: Opportunities and Risks for the Future of Financial Advisory

Without professional advisors, taking financial risks is a challenging task for most private households (retail investors). Across countries, digital financial advisory services, in particularly robo-advisors, are becoming more popular in retail and private banking. These tools support their users in financial decision-making, like risk-measurement, portfolio selection, or rebalancing. Recent studies suggest that in the long-term, they could supplement human financial advisory. This work illustrates the key concepts of this (r)evolution, and discusses strengths, weaknesses, opportunities and risks of robo-advisory. The results suggest that robo-advisors have a huge potential to shape the future of the financial advisory industry, despite the fact that there is still a lot of potential yet to be exploited.

(Pro?)-Cyclicality of Collateral Haircuts and Systemic Illiquidity

Procyclicality of collateral haircuts and margins has become a widely proclaimed behavior and is currently discussed not only by academic literature but also by regulatory authorities in Europe. Procyclicality of haircuts is assumed to be a trigger of liquidity spirals due to its tightening effect of collateral portfolio values in times of market distress. However, empirical evidence on this topic is quite sparse and the discussions are primarily driven by insights derived from theoretical models. Nonetheless, oversight bodies are discussing macroprudential haircut add-ons in order to curb with the potential effects of procyclicality in distressed periods. Based on a unique data set provided by a large European Central Counterparty we construct a measure of systemic illiquidity of bond collaterals and analyze the relationship between haircuts, the development of periods with explosive behavior and systemic illiquidity. We estimate the noise of bond yields to measure systemic illiquidity with and without considering haircuts. We then apply an explosive roots bubble detection technique to identify irrational periods of each of these two time series and to a combination of both. Finally, we propose a quantitative trigger and design for macroprudential haircut add-ons. Our results confirm that (1) bond collateral markets face irrational, i.e. bubble-like illiquidity during periods of systemic distress. The results indicate that (2) haircuts are not amplifying or increasing with systemic illiquidity. (3) The proposed haircut add-on mechanism exhibits desirable features to mitigate systemic illiquidity during lasting periods of distress. JEL Classification: E44, G18, G01