Review of the Bank of Russia – NES Workshop ‘Main Challenges in Banking: Risks, Liquidity, Pricing, and Digital Currencies’

In October 2021, the Bank of Russia and the New Economic School (NES) hosted a joint international online workshop titled ‘Main Challenges in Banking: Risks, Liquidity, Pricing, and Digital Currencies’. Five papers were presented. They addressed various issues in banking which are currently of paramount importance to central bankers, market participants, and academics: the connections between systemic risk and the real economy, the digitalisation of finance and information asymmetries, credit spreads and monetary policy, the improvement of information flows and outcomes in credit markets, the introduction of central bank digital currencies, and bank intermediation.

Development of macroeconomic models based on behavioral economics: issues and further research

The article analyzes the formation, spread and development of behavioral economics in microeconomic research, as well as its development in macroeconomic research over the past two decades. The key shortcomings of neoclassical macroeconomic models and their critique based on existing research and practical application by central bankers are highlighted. The key stages in the formation of behavioral macroeconomics, elements of which began to appear in the works of neoclassical macroeconomists, have been identified. The main arguments in favor of replacing neoclassical macroeconomic models with new behavioral macroeconomic models are presented, as well as key issues of behavioral macroeconomics and prospects for its further adoption as a basic concept for decision-making for governments. Key studies of behavioral economists on behavioral macroeconomic models, most of which are agents-based (microfoundations-based), have been identified and systematized. Based on the results of testing various behavioral models by world-renowned scientists, as well as our analysis, it is proposed to focus further macroeconomic research on behavioral models based on the activities of agents (microfoundations).

Central Banking and Inequalities: Old Tropes and New Practices

This paper presents a critical analysis of the stance taken on inequality by two central banks since 2015: the Bank of Canada (BoC) and the Federal Reserve (Fed). The analysis is informed by a computer-assisted discourse analysis of how central bankers from the two institutions position themselves when it comes to issues of inequality. We observe that the position on inequality of the two central banks has changed in recent years and continues to do so. We argue that the stance on inequality taken by the BoC and the Fed suffers from a number of both inconsistencies and shortcomings. On the one hand, the BoC and the Fed claim that monetary policy instruments are too blunt to target specific sectors of the economy. On the other hand, with their response to COVID-19, they have demonstrated that such targeting is possible after all.

Can the Federal Reserve Effectively Target Main Street? Evidence from the 1970s Recession

Modern central bankers confront a challenge of providing economic stimulus even when the policy rate is constrained by a lower bound. This challenge has led to substantial innovation by policymakers and a proliferation of new policy tools. In this paper, I offer evidence on the efficacy of a new tool known as funding for lending, which provides banks with subsidized funding to make additional loans. I focus on a historical episode from the United States in which the Federal Reserve provided banks with steeply subsidized loans to promote the expansion of credit within their local communities. I show that the cheap funding succeeded in generating more lending by countering banks' excessive liquidity preference. The additional credit benefited the real economy. Local areas enjoyed higher rates of small business formation and more rapid employment growth. Finally, I show that the cost of the subsidy provided by the government was more than offset by the additional payroll taxes paid out of higher wages and salaries. These results suggest that funding for lending programs deserve consideration for the modern central banker's toolkit and demonstrate that certain unconventional tools can offer monetary policymakers the means to pursue more targeted objectives.

Allies or Commitment Devices? A Model of Appointments to the Federal Reserve

We present a model of executive-legislative bargaining over appointments to independent cen-tral banks in the face of an uncertain economy with strategic economic actors. The model highlights the contrast between two idealized views of Federal Reserve appointments. In one view, politicians prefer to appoint conservatively biased central bankers to overcome credible commitment problems that arise in monetary policy. In the other, politicians prefer to appoint allies, and appointments are well described by the spatial model used to describe appointments to other agencies. Both ideals are limiting cases of our model, which depend on the level of economic uncertainty. When economic uncertainty is extremely low, politicians prefer very conservative appointments. When economic uncertainty increases, politicians’ prefer central bank appointees closer to their own ideal points. In the typical case, the results are somewhere in between: equilibrium appointments move in the direction of politician’s preferences but with a moderate conservative bias.

An exploratory study of heuristics for anticipating prices

PurposeThis research explores how investment and central bankers cope with strategic uncertainty when they anticipate prices. The uncertainty originates from others' decisions and their consequences, and cannot be meaningfully reduced to risk. The authors postulate that, in order to cope with this type of uncertainty, bankers use simple rules, also called heuristics. This study aims to identify such heuristics and the psychological processes that underlie them.Design/methodology/approachThe authors interviewed 22 managers of teams tasked to anticipate prices, in two leading investment and central banks. The primary data came from in-depth, semi-structured interviews lasting 30–60 min, supplemented by our observations during the on-site visits, emails and phone calls when preparing the interviews, and reports published by the banks. Data were coded and heuristics were induced over multiple rounds by multiple researchers.FindingsBankers (1) construct simple game representations of markets, (2) make inferences to gauge opponents, (3) become alert when they see too much agreement and (4) communicate coherent narratives. Heuristics (1)–(3) are employed when the pace of decision-making is fast, whereas (4) is used for longer time scales. In sum, bankers exhibit reciprocal bounded rationality, wherein interaction partners are mutually aware of and adapted to the fundamental uncertainty of the task and their limited resources.Originality/valueHeuristics for anticipating prices have not been studied empirically outside the lab. The findings may help integrate conceptualizations of heuristics in the simple-rules and fast-and-frugal-heuristics research programs and improve market efficiency.