Funding liquidity risk: definition and measurement

In this paper we propose definitions of funding liquidity and funding liquidity risk and present a simple, yet intuitive, measure of funding liquidity risk based on data from open market operations. Our empirical analysis uses a unique data set of 135 main refinancing operation auctions conducted at the ECB between June 2005 and December 2007. We find that our proxies for funding liquidity risk are typically stable and low, with occasional spikes, especially during the recent turmoil. We are also able to document downward spirals between funding liquidity risk and market liquidity. JEL Classification: E58, G21bidding data, funding liquidity, Interbank markets, liquidity risk, money market auctions

An economic capital model integrating credit and interest rate risk in the banking book

Banks typically determine their capital levels by separately analysing credit and interest rate risk, but the interaction between the two is significant and potentially complex. We develop an integrated economic capital model for a banking book where all exposures are held to maturity. Our simulations show that capital is mismeasured if risk interdependencies are ignored: adding up economic capital against credit and interest rate risk derived separately provides an upper bound relative to the integrated capital level. The magnitude of the difference depends on the structure of the balance sheet and on the repricing characteristics of assets and liabilities. JEL Classification: G21, E47, C13asset and liability management, Credit risk, Economic capital, interest rate risk, risk management

Herding with and without Payoff Externalities - An Internet Experiment

Most real world situations that are susceptible to herding are also characterized by direct payoff externalities. Yet, the bulk of the theoretical and experimental literature on herding has focused on pure informational externalities. In this paper we experi- mentally investigate the effects of several different forms of payoff externalities (e.g., network effects, first-mover advantage, etc.) in a standard information-based herding model. Our results are based on an internet experiment with more than 6000 subjects, including a subsample of 267 consultants from an international consulting firm. We also replicate and review earlier cascade experiments. Finally, we study reputation e¤ects (i.e., the influence of success models) in the context of herding.information cascades, herding, network e¤ects, experiment, internet.

Herding with and without Payoff Externalities - An Internet Experiment

Most real world situations which are susceptible to herding are also characterized by direct payoff externalities. Yet, the bulk of the theoretical and experimental literature focuses on pure informational externalities. In this paper we study several different forms of payoff externalities that interact with a standard herding model. More than 6000 subjects, including a subsample of 267 consultants from an international consulting firm, participated in an internet experiment. We also replicate and review earlier cascade experiments. Finally, we study reputation effects in the context of herding.information cascades, herding, network effects, experiment, internet

An Experimental Study of Cryptocurrency Market Dynamics

As cryptocurrencies gain popularity and credibility, marketplaces for cryptocurrencies are growing in importance. Understanding the dynamics of these markets can help to assess how viable the cryptocurrnency ecosystem is and how design choices affect market behavior. One existential threat to cryptocurrencies is dramatic fluctuations in traders' willingness to buy or sell. Using a novel experimental methodology, we conducted an online experiment to study how susceptible traders in these markets are to peer influence from trading behavior. We created bots that executed over one hundred thousand trades costing less than a penny each in 217 cryptocurrencies over the course of six months. We find that individual "buy" actions led to short-term increases in subsequent buy-side activity hundreds of times the size of our interventions. From a design perspective, we note that the design choices of the exchange we study may have promoted this and other peer influence effects, which highlights the potential social and economic impact of HCI in the design of digital institutions.Comment: CHI 201