1,492 research outputs found

    Essays on Risk Creation in the Banking Sector

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    This thesis consists of four essays exploring risk creation in the banking sector. The essays examine how conflicting interests can compromise the objectivity, judgment, and decision making of economic agents. Consequently, they may prioritize their personal or institutional interests over the best interests of others or the entire financial system. Chapter 2 delves into the conflict of interest that arises when a bank serves as an investor in the stock market. Chapter 3 revisits the discussion of the potential misalignment between sovereign incentives and the collective interests of the currency union, particularly in the bond market. Chapter 4 draws attention to a situation where regulations in the banking sector may be advantageous for a government in the sovereign bond market. Finally, Chapter 5 looks at the flip side of the coin, examining how banks may be susceptible to moral hazard concerns in their FX lending decisions, given that they do not fully bear the consequences of their actions

    Shuttle diplomacy

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    In practice mediation operates through shuttle diplomacy: the mediator goes back and forth between parties, meeting them in private. We model shuttle diplomacy as a dynamic procedure. The mediator helps each party to gradually discover (privately) her value from settlement and re-assess her bargaining position, while also proposing the terms of the deal. We show that shuttle diplomacy always allows parties to achieve an ex-post efficient final settlement. In contrast, this is not possible with a static mediation procedure. In addition, if parties have symmetric prior value distributions, shuttle diplomacy guarantees a fair split of the social value from settlement

    Spectrum auctions: designing markets to benefit the public, industry and the economy

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    Access to the radio spectrum is vital for modern digital communication. It is an essential component for smartphone capabilities, the Cloud, the Internet of Things, autonomous vehicles, and multiple other new technologies. Governments use spectrum auctions to decide which companies should use what parts of the radio spectrum. Successful auctions can fuel rapid innovation in products and services, unlock substantial economic benefits, build comparative advantage across all regions, and create billions of dollars of government revenues. Poor auction strategies can leave bandwidth unsold and delay innovation, sell national assets to firms too cheaply, or create uncompetitive markets with high mobile prices and patchy coverage that stifles economic growth. Corporate bidders regularly complain that auctions raise their costs, while government critics argue that insufficient revenues are raised. The cross-national record shows many examples of both highly successful auctions and miserable failures. Drawing on experience from the UK and other countries, senior regulator Geoffrey Myers explains how to optimise the regulatory design of auctions, from initial planning to final implementation. Spectrum Auctions offers unrivalled expertise for regulators and economists engaged in practical auction design or company executives planning bidding strategies. For applied economists, teachers, and advanced students this book provides unrivalled insights in market design and public management. Providing clear analytical frameworks, case studies of auctions, and stage-by-stage advice, it is essential reading for anyone interested in designing public-interested and successful spectrum auctions

    Threshold Encrypted Mempools: Limitations and Considerations

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    Encrypted mempools are a class of solutions aimed at preventing or reducing negative externalities of MEV extraction using cryptographic privacy. Mempool encryption aims to hide information related to pending transactions until a block including the transactions is committed, targeting the prevention of frontrunning and similar behaviour. Among the various methods of encryption, threshold schemes are particularly interesting for the design of MEV mitigation mechanisms, as their distributed nature and minimal hardware requirements harmonize with a broader goal of decentralization. This work looks beyond the formal and technical cryptographic aspects of threshold encryption schemes to focus on the market and incentive implications of implementing encrypted mempools as MEV mitigation techniques. In particular, this paper argues that the deployment of such protocols without proper consideration and understanding of market impact invites several undesired outcomes, with the ultimate goal of stimulating further analysis of this class of solutions outside of pure cryptograhic considerations. Included in the paper is an overview of a series of problems, various candidate solutions in the form of mempool encryption techniques with a focus on threshold encryption, potential drawbacks to these solutions, and Osmosis as a case study. The paper targets a broad audience and remains agnostic to blockchain design where possible while drawing from mostly financial examples

    From disclosure to transparency - Essays on firms' voluntary disclosure in a transforming environment

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    This cumulative thesis is based on three articles. In the first paper, I investigate firms' greenhouse gas emission disclosure strategies. The results show the potential existence of different disclosure equilibria, which implies different disclosure patterns in different industries. I further identify that disclosure mandates may have an adverse effect on firms' abatement incentives and even their total emissions. In the second paper, I propose a model to investigate firms’ signaling decisions on the product level. In the third paper, my coauthors and I investigate the potential and limits of privacy-preserving corporate blockchain applications for information provision. We show that blockchain technology can improve the information environment and outperform traditional institutions. However, we also characterize an adverse mixed-adoption equilibrium in which neither of the two channels realizes its full potential and information provision declines not only for individual firms but also in aggregate

    Understanding How the Flash Clashes are Affected in an Asymmetric Informational Market with Agent-based Modelling

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    This thesis explores the impact of flash crashes on the dynamics of financial markets with asymmetric information. We built, implemented, and analysed an agent-based model of an extended information-sequential trading framework inspired by the models of Das and Glosten-Milgrom, where an exogenous fake shock is added into the system to disturb the actions of some traders where there is informational asymmetry. The key modelled agents include fundamental traders, who place orders at preferred prices; zero-intelligence traders, who place orders randomly; a market maker, who provides liquidity; and an exchange matching all orders under continuous auctions or batch auctions. To this end, by Monte-Carlo methods, we implement the model and examine the dynamics of the market under information asymmetry in the following aspects: the market structure, market risk, the network topology of agents and market mechanisms. Our results demonstrate that, an uninformed fundamental trader (UFT) in a messy network is highly likely to suffer a major loss due to the significant price crash in a strongly UFT-dominated market (the informed traders only account for less than 20%), in which case the market efficiency is also negatively affected; Applying batch auctions helps reallocate the profits among the agents to reduce the information advantage between informed and uninformed traders, but it has limited effect on mitigating flash crashes; Building an information-sharing connection between agents is effective to reducing flash crashes and narrows the information advantage gap between informed and uninformed traders, but a complete network with full information exposure could mislead uninformed traders to make biased decisions. These findings generated by an agent-based simulation model give us insights into real-world financial markets under asymmetric information, and the framework proposed in this thesis can be extended for future studies of asymmetric-information markets

    Resilience and food security in a food systems context

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    This open access book compiles a series of chapters written by internationally recognized experts known for their in-depth but critical views on questions of resilience and food security. The book assesses rigorously and critically the contribution of the concept of resilience in advancing our understanding and ability to design and implement development interventions in relation to food security and humanitarian crises. For this, the book departs from the narrow beaten tracks of agriculture and trade, which have influenced the mainstream debate on food security for nearly 60 years, and adopts instead a wider, more holistic perspective, framed around food systems. The foundation for this new approach is the recognition that in the current post-globalization era, the food and nutritional security of the world’s population no longer depends just on the performance of agriculture and policies on trade, but rather on the capacity of the entire (food) system to produce, process, transport and distribute safe, affordable and nutritious food for all, in ways that remain environmentally sustainable. In that context, adopting a food system perspective provides a more appropriate frame as it incites to broaden the conventional thinking and to acknowledge the systemic nature of the different processes and actors involved. This book is written for a large audience, from academics to policymakers, students to practitioners

    Essays in industrial organization and competition policy

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    Empirical Framework for Cournot Oligopoly with Private Information

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    We propose an empirical framework for asymmetric Cournot oligopoly with private information about variable costs. First, considering a linear demand for a homogenous product with a random intercept, we characterize the Bayesian Cournot-Nash equilibrium. Then we establish the identification of the joint distribution of demand and firm-specific cost distributions. Following the identification steps, we propose a likelihood-based estimation method and apply it to the global market for crude-oil and quantify the welfare effect of private information. We also consider extensions of the model to include either product differentiation, conduct parameters, nonlinear demand, or selective entry.Comment: forthcoming, The RAND Journal of Economic
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