Academia.edu no longer supports Internet Explorer.
To browse Academia.edu and the wider internet faster and more securely, please take a few seconds to upgrade your browser.
2006, Economic Theory
This paper sets out a tractable model which illuminates problems relating to individual bank behaviour, to possible contagious inter-relationships between banks, and to the appropriate design of prudential requirements and incentives to limit 'excessive' risk-taking. Our model is rich enough to include heterogeneous agents, endogenous default, and multiple commodity, and credit and deposit markets. Yet, it is simple enough to be effectively computable and can therefore be used as a practical framework to analyse financial fragility. Financial fragility in our model emerges naturally as an equilibrium phenomenon. Among other results, a non-trivial quantity theory of money is derived, liquidity and default premia co-determine interest rates, and both regulatory and monetary policies have nonneutral effects. The model also indicates how monetary policy may affect financial fragility, thus highlighting the trade-off between financial stability and economic efficiency.
Journal of Financial Stability, 2004
The purpose of our work is to explore contagious financial crises. To this end, we use simplified, thus numerically solvable, versions of our general model ]. The model incorporates heterogeneous agents, banks and endogenous default, thus allowing various feedback and contagion channels to operate in equilibrium.
Journal of Economic Theory, 2001
This paper presents a dynamic, stochastic game-theoretic model of financial fragility. The model has two essential features. First, interrelated portfolios and payment commitments forge financial linkages among agents. Second, iid shocks to investment projects' operations at a single date cause some projects to fail. Investors who experience losses from project failures reallocate their portfolios, thereby breaking some linkages. In the Pareto-efficient symmetric equilibrium studied, two related types of financial crisis can occur in response. One occurs gradually as defaults spread, causing even more links to break. An economy is more fragile ex post the more severe this financial crisis. The other type of crisis occurs instantaneously when forward-looking investors preemptively shift their wealth into a safe asset in anticipation of the contagion affecting them in the future. An economy is more fragile ex ante the earlier all of its linkages break from such a crisis. The paper also considers whether fragility is worse for larger economies.
Annals of Finance, 2006
The paper proposes a measure of financial fragility that is based on economic welfare in a general equilibrium model calibrated against UK data. The model comprises a household sector, three active heterogeneous banks, a central bank/regulator, incomplete markets, and endogenous default. We address the impact of monetary and regulatory policy, credit and capital shocks in the real and financial sectors and how the response of the economy to shocks relates to our measure of financial fragility. Finally we use panel VAR techniques to investigate the relationships between the factors that characterise financial fragility in our model, i.e. banks’ probabilities of default and banks’ profits – to a proxy of welfare.
SSRN Electronic Journal, 2000
We study the fragility of the banking system and its implications for prudential regulation. In our framework, fragility stems from the interconnections banks establish to protect themselves from liquidity shocks. We show that when banks do not provide payment services they have an incentive to choose the optimal degree of mutual insurance. Under these conditions, the flexibility with which financial assets can be designed and priced causes all market participants to correctly to take into account the economic effects of their own interdependence. When banks provide payment services this flexibility is no longer available.
SSRN Electronic Journal, 2003
Bank of England, FMG and University of Oxford. The views expressed are those of the author and do not necessarily reflect those of either the Bank of England or the FMG of the LSE or the University of Oxford.
Journal of Economic Dynamics and Control, 2010
Although it is hard to arrive at a widely accepted definition for Systemic Risk; it is generally acknowledged that it is the risk of the occurrence of an event that threatens the well functioning of the system of interest (financial, payments, banking, etc.) sometimes to the point of making its operation impossible. We model systemic risk with two main components: a random shock that weakens one or more financial institutions and a transmission mechanism which transmits and possibly exacerbates such negative effects to the rest of the system. Our model could be conceptually represented by a network already described in previous works. In this work we show how is possible to estimate the distribution of losses for the banking system with our model. Additionally, we show how it is possible to separate the distribution of losses into two components: the losses incurred by the initial shock and the losses resulting from the contagion process. Finally, once the distribution is estimated, we can derive standard risk measures for the system as a whole. Another important contribution of this work is that we can follow the evolution of certain risk measures like the expected loss or the CVaR in order to evaluate if the system is becoming more or less risky, in fact, more or less fragile. Additionally, we can decompose the distribution of losses of the whole banking system into the systemic and the contagion elements and we can determine if the system is more prone to experience contagious difficulties during a certain period of time.
Journal of Mathematical Economics, 2003
2014
This book contributes to a better understanding of financial system fragility in Bosnia and Herzegovina and similar countries in several ways. It is found that both country and period specifics must be accounted for. Accordingly, each country should develop its own tailored measure of systemic risk, since some of the widely used set of indicators may distort the perception of risk. There are substantial gains in modelling the risks of banking and currency crises as a system. It is demonstrated that even in a country with a simple financial system and dominant banking sector a single model cannot explain the evolution of systemic risk over the cycle. The nature of the risk factors, their relations with the perceived level of fragility, as well as the relationship between the measures of systemic risk were found to differ in pre-shock from the post-shock periods. Finally, it is shown that even simple financial systems are inherently unstable, with destabilizing relationships between t...
Macroeconomic Dynamics
We explore the effects of banking regulation on financial stability and macroeconomic dynamics in an agent-based computational model. In particular, we study the minimum level of capital and the lending concentration towards a single counterpart. We show that an overly tight regulation is dangerous because it reduces credit availability. By contrast, overly loose constraints, associated with a high payout ratio, increase financial fragility that, in turn, damage the real economy. Simulation results support the introduction of regulatory rules aimed at assuring an adequate capitalization of banks, such as the Capital Conservation Buffer (Basel III reform).
2009
We introduce banks, modeled as in Diamond and Rajan (JoF 2000 or JPE 2001), into a standard DSGE model and use this framework to study the role of banks in the transmission of shocks, the effects of monetary policy when banks are exposed to runs, and the interplay between monetary policy and Basel-like capital ratios. In equilibrium, bank leverage depends
Journal of the European Economic Association, 2004
We define a financial system to be fragile if small shocks have disproportionately large effects. In a model of financial intermediation, we show that small shocks to the demand for liquidity cause either high asset-price volatility or bank defaults or both. Furthermore, as the liquidity shocks become vanishingly small, the asset-price volatility is bounded away from zero. In the limit economy, with no shocks, there are many equilibria; however, the only equilibria that are robust to the introduction of small liquidity shocks are those with non-trivial sunspot activity.
Annals of Finance, 2004
This paper extends the model proposed by Tsomocos (2003, 2004a, b) to an infinite horizon setting. Thus, we are able to assess how the model conforms with the time series data of the U.K. banking system. We conclude that, since the model performs satisfactorily, it can be readily used to assess financial fragility given its flexibility, computability, and the presence of multiple contagion channels and heterogeneous banks and investors.
IMF Working Papers, 1996
This is a Working Paper and the authors) would welcome any comments on the present text. Citations should refer to a Working Paper of the International Monetary Fund, mentioning the author(s), and the date of issuance. The views expressed are those of the author(s) and do not necessarily represent those of the Fund.
Cambridge Journal of Economics, 2011
The paper examines three aspects of a financial crisis of domestic origin. The first section studies the evolution of a debt-financed consumption boom supported by rising asset prices, leading to a credit crunch and fluctuations in the real economy, and, ultimately, to debt deflation. The next section extends the analysis to trace gradual evolution toward Ponzi finance and its consequences. The final section explains the link between the financial and the real sector of the economy, pointing to an inherent liquidity problem. The paper concludes with comments on the interactions between the three aspects.
Decision Theory and …, 2010
This paper assumes that financial fluctuations are the result of the dynamic interaction between liquidity and solvency conditions of individual financial units. The framework is designed as a heterogeneous agent model which proceeds through discrete time steps within a finite time horizon. The interaction at the microlevel between financial units and the market maker, who is in charge of clearing the market, produces interesting complex dynamics. The model is analyzed by means of numerical simulations and agent-based computational economics (ACE) approach. The behaviour and evolution of financial units are studied for different parameter regimes in order to show the importance of the parameter setting in the emergence of complex dynamics. Monetary policy implications for the banking sector are also discussed.
2014
We analyse the determinants of bank balance-sheets and leverage-ratio dynamics, and their role in increasing financial fragility. Our results are twofold. First, we show that there is a value of bank leverage that minimises financial fragility. Second, we show that this value depends on the overall business climate, the expected value of the collateral provided by firms, and the risk-free interest rate. These results lead us to advocate for the establishment of an adjustable leverage ratio depending on economic conditions, rather than the fixed ratio provided for under the new Basel III
2013
This thesis investigates various issues in regulation, with three chapters on financial fragility and banking regulation, and one chapter on competition policy. Chapter 2 studies banks’ herding driven by their need for market liquidity, highlighting a trade-off between systemic risk and liquidity creation. The model also suggests that systemic risk and leverage are mutually reinforcing, offering an explanation of why banks collectively exposed themselves to mortgage-backed securities prior to the crisis, and why the exposure grew when banks were increasingly leveraged using wholesale short-term funding. Chapter 3 examines the possible trade-off between banking competition and financial stability by highlighting banks' endogenous leverage. Competition is shown to affect portfolio risk, insolvency risk, liquidity risk and systemic risk differently. The model leads us to revisit the existing empirical literature using a more precise taxonomy of risk and take into account endogenous...
Journal of Economic Behavior & Organization, 2006
This paper proposes a simple prototype model that describes the complex dynamics of a sophisticated monetary economy. The interaction between the current and intertemporal financial constraints of economic units brings about irregular fluctuations at the micro and macro levels. By means of qualitative dynamic analysis and numerical simulations, we reformulate in more operational terms, and extend in a number of new directions, the model suggested recently by one of the authors (Vercelli, 2000) to study the interaction between financial fragility, modelled in terms of structural instability, and dynamically unstable financial fluctuations.
SSRN Electronic Journal, 2000
or default of one bank can influence the overall level of liquidity stress and default in the network. To get there, a number of issues are addressed. First, this paper proposes a stylized model of individual bank balance sheets that builds in regulatory constraints, the most important types of interbank exposures, and collateralization of interbank exposures. Secondly, three different possible states of a bank, namely the normal state, the stressed state and the insolvent state, are identified with conditions on the bank's balance sheet. Thirdly, the paper models the behavioural response of a bank when it finds itself in the stressed or insolvent states. Importantly, a stressed bank will seek to shrink its balance sheet, by recalling short term interbank assets. This serves to protect the bank from the default of its counterparties, but creates stress in the network by forcing its debtor banks to raise cash, perhaps causing them to become stressed.
Department of Economics University of Siena, 2003
This paper proposes a simple prototype model that describes the complex dynamics of a sophisticated monetary economy. The interaction between the current and intertemporal financial constraints of economic units brings about irregular fluctuations at the micro and macro levels. By means of qualitative dynamic analysis and numerical simulations, we reformulate in more operational terms, and extend in a number of new directions, the model suggested recently by one of the authors (Vercelli, 2000) to study the interaction between financial fragility, modelled in terms of structural instability, and dynamically unstable financial fluctuations.
Loading Preview
Sorry, preview is currently unavailable. You can download the paper by clicking the button above.