We propose a model of lending, payments choice, and privacy in the digital economy. While digital payments enable merchants to sell goods online, they reveal information to their lender. Cash guarantees anonymity, but limits distribution to less efficient offline venues. In equilibrium, merchants trade off the efficiency gains from online distribution (with digital payments) and the informational rents from staying anonymous (with cash). While new technologies can reduce the privacy concerns associated with digital payments, they also redistribute surplus from the lender to merchants. Hence, privacy enhancements do not always improve welfare.

ABSTRACT In statistics, samples are drawn from a population in a data‐generating process (DGP). Standard errors measure the uncertainty in estimates of population parameters. In science, evidence is generated to test hypotheses in an evidence‐generating process (EGP). We claim that EGP variation across researchers adds uncertainty—nonstandard errors (NSEs). We study NSEs by letting 164 teams test the same hypotheses on the same data. NSEs turn out to be sizable, but smaller for more reproducible or higher rated research. Adding peer‐review stages reduces NSEs. We further find that this type of uncertainty is underestimated by participants.

This paper provides a structured overview of the burgeoning literature on the economics of CBDC. We document the economic forces that shape the rise of digital money and review motives for the issuance of CBDC. We then study the implications for the financial system and discuss of a number of policy issues and challenges. While the academic literature broadly echoes policy makers' concerns about bank disintermediation and financial stability risks, it also provides conditions under which such adverse effects may not materialize. We also point to several knowledge gaps that merit further work, including data privacy and the study of end‐user preferences for attributes of digital payment methods.

We study how banks manage their liquidity among the various assets at their disposal. We exploit the introduction of the ECB’s two-tier system which heterogeneously reduced the cost of additional reserves holdings. We find that the treated banks increase reserve holdings by borrowing on the interbank market, decreasing lending to affiliates of the same group, and selling marketable securities. We also find that banks have a preference for a stable portfolio composition of liquid assets over time. Our results imply that frictions in one market for liquidity can spill over to several markets.

What is the effect of Central Bank Digital Currency (CBDC) on financial stability? We answer this question by studying a model of financial intermediation with an endogenously determined probability of a bank run, using global games. As an alternative to bank deposits, consumers can also store their wealth in remunerated CBDC issued by the central bank. Consistent with widespread concerns among policymakers, higher CBDC remuneration increases the withdrawal incentives of consumers, and thus bank fragility. However, the bank optimally responds to the additional competition by offering better deposit rates to retain funding, which reduces fragility. Thus, the overall relationship between CBDC remuneration and bank fragility is U-shaped.

We analyze the relation between transaction costs and venue choice using proprietary transaction-level data from institutional trade executions in the U.K. equity market. We show that, for a given investor, a higher share of dark trading (midpoint dark pools) is associated with lower execution costs. In the context of a recent ban on dark trading, we provide evidence consistent with migration towards substitute trading venues such as periodic auctions, which has mitigated adverse effects on trading costs for large investors. We also provide micro-evidence on Menkveld et al.’s (2017) pecking order theory of venue choice over the life-cycle of large parent orders.

Digitalisation has fundamentally changed the global economy and will continue to do so. This paper draws on economic research to identify some of its key implications for labour markets, inequality, e-commerce and the financial system. Beyond its potential to boost productivity and living standards, digitalisation: i) does not necessarily replace jobs on aggregate but changes their content; ii) tends to raise income and wealth inequality; iii) has ambiguous effects on competition; and iv) might change how the retail and financial sectors respond to monetary policy. Developing adequate (re-)training opportunities and providing a labour market, regulatory, and innovation environment which encourages the creation of “good jobs” is essential to improve productivity and equity while avoiding a polarisation of labour markets. E-commerce and fintech will likely lead to a faster transmission of monetary policy. The rise of fintech brings about new risks for regulatory arbitrage and has ramifications for financial stability.

We study a model of financial intermediation, payment choice, and privacy in the digital economy. Cash preserves anonymity but cannot be used for more efficient online transactions. By contrast, bank deposits can be used online but do not preserve anonymity. Banks use the information contained in deposit flows to extract rents from merchants in need of financing. Payment tokens issued by digital platforms allow merchants to hide from banks but enable platforms to stifle competition. An independent digital payment instrument (a CBDC) that allows agents to share their payment data with selected parties can overcome all frictions and achieves the efficient allocation.

ABSTRACTWe propose a new model of trading in over‐the‐counter markets. Dealers accumulate inventories by trading with end‐investors and trade among each other to reduce their inventory holding costs. Core dealers use a more efficient trading technology than peripheral dealers, who are heterogeneously connected to core dealers and trade with each other bilaterally. Connectedness affects prices and allocations if and only if the peripheral dealers' aggregate inventory position differs from zero. Price dispersion increases in the size of this position. The model generates new predictions about the effects of dealers' connectedness and dealers' aggregate inventories on prices.

We study the effects of technological change on financial intermediation, distinguishing between innovations in information (data collection and processing) and communication (relationships and distribution). Both follow historical trends towards an increased use of hard information and less in-person interaction, which are accelerating rapidly. We evaluate more recent innovations, such as the combination of data abundance and artificial intelligence, and the rise of digital platforms. We argue that the rise of new communication channels can lead to the vertical and horizontal disintegration of the traditional bank business model. Specialized providers of financial services can chip away activities that do not rely on access to balance sheets, while platforms can interject themselves between banks and customers. We discuss limitations to these challenges to the traditional bank business model, and the resulting policy implications.

We propose a new model of trading in OTC markets. Dealers accumulate inventories by trading with end-investors and trade among each other to reduce their inventory holding costs. Core dealers use a more efficient trading technology than peripheral dealers, who are heterogeneously connected to core dealers and trade with each other bilaterally. Connectedness affects prices and allocations if and only if the peripheral dealers' aggregate inventory position differs from zero. Price dispersion increases in the size of this position. The model generates new predictions about the effects of dealers' connectedness and dealers' aggregate inventories on prices.

We study the effects of technological change on financial intermediation, distinguishing between innovations in information (data collection and processing) and communication (relationships and distribution). Both follow historic trends towards an increased use of hard information and less in-person interaction, which are accelerating rapidly. We point to more recent innovations, such as the combination of data abundance and artificial intelligence, and the rise of digital platforms. We argue that in particular the rise of new communication channels can lead to the vertical and horizontal disintegration of the traditional bank business model. Specialized providers of financial services can chip away activities that do not rely on access to balance sheets, while platforms can interject themselves between banks and customers. We discuss limitations to these challenges, and the resulting policy implications.

We study the effects of technological change on financial intermediation, distinguishing between innovations in information (data collection and processing) and communication (relationships and distribution). Both follow historic trends towards an increased use of hard information and less in-person interaction, which are accelerating rapidly. We point to more recent innovations, such as the combination of data abundance and artificial intelligence, and the rise of digital platforms. We argue that in particular the rise of new communication channels can lead to the vertical and horizontal disintegration of the traditional bank business model. Specialized providers of financial services can chip away activities that do not rely on access to balance sheets, while platforms can interject themselves between banks and customers. We discuss limitations to these challenges, and the resulting policy implications.

We study the determinants of individual banks’ excess reserve holdings in the context of the ECB’s public sector purchase programme by testing hypotheses concerning the roles of risk-taking, investment opportunities, and market structure. Excess reserves systematically accrue on the balance sheets of banks with a low share of customer deposits, low opportunity costs, and high payments settlement activity.

There is strong heterogeneity in the permanent price impact of traders. Moreover, a trader’s permanent price impact is persistent. A trade’s ex-post permanent price impact is partially priced in dealers’ markups, even when controlling for dealer-client fixed effects. This suggests that dealers are informed about the permanent price impact of their clients’ trades. We present further evidence suggesting that dealers learn from their clients’ order flow and use this knowledge when providing quotes. More informed customers are more likely to trade with informed dealers. We present a model explaining our empirical findings.

Central banks have used different types of forward guidance, where the forward guidance horizon is related to a state contingency, a calendar date or left open-ended. This paper reports cross-country evidence on the impact of these different types of forward guidance on the sensitivity of bond yields to macroeconomic news, and on forecaster disagreement about the future path of interest rates. We show that forward guidance mutes the response to macroeconomic news in general, but that calendar-based forward guidance with a short horizon counterintuitively raises it. Using a model where agents learn from market signals, we show that the release of more precise public information about future rates lowers the informativeness of market signals and, as a consequence, may increase uncertainty and amplify the reaction of expectations to macroeconomic news. However, when the increase in precision of public information is sufficiently large, uncertainty is unambiguously reduced.

Forward guidance, i.e. communication by a central bank about the likely future path of interest rates, usually reduces uncertainty. But it matters how this is done in practice, because forward guidance with a short time horizon can raise uncertainty. This occurs if the forward guidance impairs the aggregation of private information in financial markets, thus making market prices less informative. JEL Classification: D83, E43, E52, E58

This paper develops price- and quantity-based composite indicators of financial integration for the euro area. We develop a novel method that homogenises information from different market segments and benchmarks them to a state of perfect integration. The time-series development of both indicators shows that the global financial crisis and the ensuing sovereign debt crisis in the euro area led to considerable financial fragmentation from which the monetary union has not yet fully recovered. In a set of panel regressions for 19 member states, we find a significant positive association between financial integration and economic growth.

We study the allocation of interest rate risk within the European banking sector using novel data. Banks’ exposure to interest rate risk is small on aggregate, but heterogeneous in the cross-section. Contrary to conventional wisdom, net worth is increasing in interest rates for approximately half of the institutions in our sample. Cross-sectional variation in banks’ exposures is driven by cross-country differences in loan-rate fixation conventions for mortgages. Banks use derivatives to partially hedge on-balance-sheet exposures. Residual exposures imply that changes in interest rates have redistributive effects within the banking sector. Received October 31, 2017; editorial decision August 30, 2018 by Editor Philip Strahan. Authors have furnished an Internet Appendix, which is available on the Oxford University Press Web site next to the link to the final published paper online.