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What’s Different about Bank Holding Companies?
The recent fnancial crisis highlighted the role of Bank Holding Companies (BHCs) in exacerbating the crisis and in transmitting monetary policy beyond the local economy to global markets. Yet, little is known about their behavior, as most models of banking typically focus on banks with a loan desk. We develop a dynamic model of a BHC that encompasses both a trading desk and a loan desk, and explore the role of risk attitude and overleveraging by the trading desk. We trace the impact of monetary policy and market innovations on bank behavior in the presence of Basel III type regulations. To our knowledge, this is a first such exercise. We show that the value of the BHC is enhanced by operating both desks, even if they both are subject to common market shocks. We explore alternative regulatory remedies to ongoing efforts to ring-fence the proprietary trading business, and show that regulations that target bank governance can mitigate possible rogue trading and the overleveraging problem.
Assessing the Impact of Policy Changes on a Nowcast
Nowcasting enables policymakers to obtain forecasts of key macroeconomic indicators using higher frequency data, resulting in more timely information to guide proposed policy changes. A significant shortcoming of nowcasting estimators is their “reduced-form” nature, which means they cannot be used to assess the impact of policy changes, for example, on the baseline nowcast of real GDP. This paper outlines two separate methodologies to address this problem. The first is a partial equilibrium approach that uses an existing baseline nowcasting regression and single-equation forecasting models for the high-frequency data in that regression. The second approach uses a non-parametric structural VAR estimator recently introduced in Ouliaris and Pagan (2022) that imposes minimal identifying restrictions on the data to estimate the impact of structural shocks. Each approach is illustrated using a country-specific example.
Conformism and Public News
We study a model where investment decisions are based on investors’ information about the unknown and endogenous return of the investment. The information of investors consists of endogenously determined messages sold by financial analysts who have access to both public and private information on the return of the investment. We assume that the return of the investment is correlated with the aggregate investment. This results into a beauty contest among analysts (or a "conformism" effect). In equilibrium, analysts sell all the information they have to all the investors. A striking result is that there are sometimes multiple equilibria. There are equilibria where the beauty contest is exacerbated. Because of the correlation across analysts' information sources, not all the information available in the economy is transmitted to investors.
Riding the Yield Curve: Risk Taking Behavior in a Low Interest Rate Environment
Investors seek to hedge against interest rate risk by taking long or short positions on bonds of different maturities. We study changes in risk taking behavior in a low interest rate environment by estimating a market stochastic discount factor that is non-linear and therefore consistent with the empirical properties of cashflow valuations identified in the literature. We provide evidence that non-linearities arise from hedging strategies of investors exposed to interest rate risk. Capital losses are amplified when interest rates increase and risk averse investors have taken positions on instruments with longer maturity, expecting instead interest rates to revert back to their historical average.
Reconsidering Bank Capital Regulation
Despite revisions to bank capital standards, fundamental shortcomings remain: the rules for setting capital requirements need to be simpler, and resolution should be an essential part of the capital requirement framework.We propose a new system of capital regulation that addresses these needs by making changes to all three pillars of bank regulation: only common equity should be recognized as capital for regulatory purposes, and risk weighting of assets should be abandoned; capital requirements should be assigned on an institution-by-institution basis according to a regulatory (s,S) approach developed in the paper; a standard for prompt, corrective action is incorporated into the (s,S) approach.
Optimal Maturity Structure of Sovereign Debt in Situation of Near Default
We study the relationship between default and the maturity structure of the debt portfolio of a Sovereign, under uncertainty. The Sovereign faces a trade-off between a future costly default and a high current fiscal effort. This results into a debt crisis in case a large initial issuance of long term debt is followed by a sequence of negative macro shocks. Prior uncertainty about future fundamentals is then a source of default through its effect on long term interest rates and the optimal debt issuance. Intuitively, the Sovereign chooses a portfolio implying a risk of default because this risk generates a correlation between the future value of long term debt and future fundamentals. Long term debt serves as a hedging instrument against the risk on fundamentals. When expected fundamentals are high, the Sovereign issues a large amount of long term debt, the expected default probability increases, and so does the long term interest rate.
The U.S. Personal Saving Rate
This paper develops a time series model for aggregate consumption to predict the U.S. personal saving rate. It then uses the model to test whether there has been a structural break in consumption behavior because of the 2008 financial crisis. Before the crisis, the personal saving rate was trending downwards. However, in 2008 there was a significant rise in the saving rate that continued until the end of 2012, suggesting a permanent change in household behavior. To assess this issue formally, the unknown parameters of the model are estimated using data for 1961Q1-2007Q4, a period which precedes the crisis. The model is then used to predict the saving rate from 2008Q1 onwards and to assess wh...
Fintech and Financial Services
A new wave of technological innovations, often called “fintech,” is accelerating change in the financial sector. What impact might fintech have on financial services, and how should regulation respond? This paper sets out an economic framework for thinking through the channels by which fintech might provide solutions that respond to consumer needs for trust, security, privacy, and better services, change the competitive landscape, and affect regulation. It combines a broad discussion of trends across financial services with a focus on cross-border payments and especially the impact of distributed ledger technology. Overall, the paper finds that boundaries among different types of service providers are blurring; barriers to entry are changing; and improvements in cross-border payments are likely. It argues that regulatory authorities need to balance carefully efficiency and stability trade-offs in the face of rapid changes, and ensure that trust is maintained in an evolving financial system. It also highlights the importance of international cooperation.
Back to the Future: The Nature of Regulatory Capital Requirements
This paper compares the current regulatory capital requirements under the Dodd-Frank Act (DFA) and the 10-percent leverage ratio, as proposed by the U.S. Treasury and the U.S. House of Representatives' Financial CHOICE Act (FCA). We find that the majority of U.S. banks would not qualify for an "off-ramp"option—where regulatory relief is offered to FCA qualifying banks (QBOs)—unless considerable amounts of capital are added, and that large banks are much closer to the proposed leverage threshold and, therefore, are more likely to stand to gain from regulatory relief. The paper identifies an important moral hazard problem that arises due to the QBO optionality, where banks are likely to increase the riskiness of their asset portfolio and qualify for the FCA “off-ramp” relief with unintended effects on financial stability.
Blockchain and cryptocurrencies technologies and network structures: applications, implications and beyond
Blockchain technology is bringing together concepts and operations from several fields, including computing, communications networks, cryptography, and has broad implications and consequences thus encompassing a wide variety of domains and issues, including Network Science, computer science, economics, law, geography, etc. The aim of the paper is to provide a synthetic sketch of issues raised by the development of Blockchains and Cryptocurrencies, these issues are mainly presented through the link between on one hand the technological aspects, i.e. involved technologies and networks structures, and on the other hand the issues raised from applications to implications. We believe the link is a two-sided one. The goal is that it may contribute facilitating bridges between research areas.
