Towards a credit network based early warning indicator for crises

This paper presents an agent based model which underlines the importance of credit network and leverage dynamics in determining the resilience of the system, defining an early warning indicator for crises. The model reproduces macroeconomic dynamics emerging from the interactions of heterogeneous banks and firms in an endogenous credit network. Banks and firms are linked through multiple credit relations, which derive from individual target leverage choices: agents choose the more convenient leverage level, according to a basic reinforcement learning algorithm. Simulations are calibrated on balance sheet data of banks and firms quoted in the Japanese stock-exchange markets from 1980 to 2012.     

Emergent dynamics of a macroeconomic agent based model with capital and credit

In this paper we present and discuss a Macroeconomic Agent-Based Model with Capital and Credit (CC-MABM) which builds upon the framework put forward by Delli Gatti et al. (2011). The novelty of this model with respect to the previous framework consists in the introduction of a stylized supply chain where upstream firms – i.e. producers of capital goods (K-firms) – supply a durable and sticky input (capital) to the downstream firms, who produce consumption goods (C-firms) to be sold to households. Both C-firms and K-firms resort to bank loans to satisfy their financing needs. There are two-way feedbacks between firms and markets which yield interesting emerging properties at the macro level. We show that the interaction of upstream and downstream firms and the evolution of their financial conditions – in a nutshell: Capital and Credit – are essential ingredients of a “crisis” i.e. a sizable slump followed by a long recovery.     

国有商业银行信贷风险预警模型的构建

本文在简要评述我国商业银行信贷风险预警研究现状的基础上进行了实证分析,构建了我国国有商业银行信贷风险预警模型,同时指出运用该模型应注意的问题.     

A piecewise linear model of credit traps and credit cycles: a complete characterization

We reconsider a regime-switching model of credit frictions which has been proposed in a general framework by Matsuyama for the case of Cobb–Douglas production functions. This results in a piecewise linear map with two discontinuity points and all three branches having the same slope. We offer a complete characterization of the bifurcation structure in the parameter space, as well as of the attracting sets and related basins of attraction in the phase space. We also discuss parameter regions associated with overshooting, leapfrogging, poverty traps, reversal of fortune and growth miracle, as well as cycles with any kind of switching between the expansionary and contractionary phases.     

Taming financial systemic risk: models,instruments and early warning indicators

Journal of Economic Interaction and Coordination -     

Lessons from a century of FED policy: Why monetary and credit policies need rules and boundaries

Wide operational and financial independence given to monetary and credit policies subjects the Federal Reserve to incentives detrimental for macroeconomic and financial stability. The absence of a monetary policy rule created go-stop incentives that produced inefficient volatility of both inflation and unemployment during the Great Inflation. Fed credit policy has undergone massive “mission creep” since the Fed was established. Being debt-financed fiscal policy, Fed credit policy beyond ordinary temporary lending to solvent depositories creates friction with the fiscal authorities and jeopardizes the Fed׳s independence. An ambiguous boundary of expansive Fed credit policy creates expectations of Fed accommodation in financial crisis—that blunts the incentive of private entities to take protective measures beforehand (to shrink counter-party risk and reliance on short-term finance, and build up equity capital) and blunts the incentive of the fiscal authorities to prepare procedures in advance to act systematically in times of credit turmoil. These points are illustrated with reference to the 2007–09 financial crisis. Part of the problem is that the independent Fed does not have the same incentive as the 19th century Bank of England to follow Bagehot׳s Rule. The paper concludes with a set of principles to preserve a workable, sustainable division of responsibilities between the independent central bank and the fiscal authorities.     

Evaluating early warning indicators of banking crises: Satisfying policy requirements

Ideally, early warning indicators (EWI) of banking crises should be evaluated on the basis of their performance relative to the macroprudential policy maker’s decision problem. We translate several practical aspects of this problem — such as difficulties in assessing the costs and benefits of various policy measures, as well as requirements for the timing and stability of EWIs — into statistical evaluation criteria. Applying the criteria to a set of potential EWIs, we find that the credit-to-GDP gap and a new indicator, the debt service ratio (DSR), consistently outperform other measures. The credit-to-GDP gap is the best indicator at longer horizons, whereas the DSR dominates at shorter horizons.     

Lending attitude as a financial accelerator in a credit network economy

In existing literature, commercial banks are often considered mere financial intermediaries that facilitate the flow of credit in an imperfect credit market. However, as demonstrated in the history of financial instability, the behavior of financial institutions plays an important role. This paper examines how lenders’ attitudes affect macroeconomic performance. In our analysis, the economy is composed of multiple borrowers (firms) and one lender (bank). Each borrower is directly connected to the lender through its credit contract. At the same time, each borrower is indirectly connected to all the other borrowers within the credit network. Using this model, we execute computer simulations to examine the economic consequences of lending attitudes. The results of the simulations demonstrate that the bank’s lending attitude functions as a financial accelerator; that is, it significantly affects the dynamics of the economic system through the credit network. Consequently, the same level of exogenous shock generates completely different outcomes depending on the different lending attitudes. The results also show that there exists an optimal lending attitude that leads to high economic growth and a stable growth path.     

Earned income tax credit policies: Impact and optimality: The Adam Smith Lecture, 2005

In this lecture I consider the impact and optimality of Earned Income Tax Policies. The policy issue addressed is the low labour market attachment and high incidence of poverty among certain groups. These policies have taken a central position in EU labour market policy debate and I focus on reforms over the last decade in the UK.     

Defining efficient policies in a general equilibrium model: a multi-objective approach

Macroeconomic policy makers are typically concerned with several indicators of economic performance. We thus propose to tackle the design of macroeconomic policy using Multicriteria Decision Making (MCDM) techniques. More specifically, we employ Multi-objective Programming (MP) to seek so-called efficient policies. The MP approach is combined with a computable general equilibrium (CGE) model. We chose use of a CGE model since it has the dual advantage of being consistent with standard economic theory while allowing one to measure the effect(s) of a specific policy with real data. Applying the proposed methodology to Spain (via the 1995 Social Accounting Matrix) we first quantified the trade-offs between two specific policy objectives: growth and inflation, when designing fiscal policy. We then constructed a frontier of efficient policies involving real growth and inflation. In doing so, we found that policy in 1995 Spain displayed some degree of inefficiency with respect to these two policy objectives. We then offer two sets of policy recommendations that, ostensibly, could have helped Spain at the time. The first deals with efficiency independent of the importance given to both growth and inflation by policy makers (we label this set: general policy recommendations). A second set depends on which policy objective is seen as more important by policy makers: increasing growth or controlling inflation (we label this one: objective-specific recommendations).     

Early warning systems for currency crises: The Turkish case

Different severe financial crises episodes occurred in the Turkish economy in the last two decades. These crises led to severe economic and social consequences for Turkey in terms of increasing interest rates, large reserves losses, considerable currency depreciations, high output losses and high unemployment rates. This paper aims to illustrate the essential determinants of these crises by developing a multivariate logit model which estimates the predictive ability of sixteen economic and financial indicators in a sample that covers the period from January 1990 to December 2008. The empirical findings show that the Turkish crises are mainly due to excessive fiscal deficits, high money supply growths, sharp rises in short-term external debt, growing riskiness of the banking system (in particular currency and liquidity mismatches), and external adverse shocks.     

Liquidity indicators,early warning signals in banks,and financial crises

This research compares the performance of three liquidity indicators, namely liquidity ratio (LiqR), liquidity creation (LiqC) and net stable funding difference (NSFD), for sending early warning signals for distressed banks. Recent evidence has shown that LiqR appears incapable of measuring the liquidity condition of banks. However, LiqC and NSFD have not yet been fully examined. Thus, which indicator is more useful in an early warning model becomes an interesting issue. We classify distressed banks as banks that have experienced a bank run, bailout, or failure. Sample data are collected from the United States and the European Union from before and after the financial crisis. We then estimate model predictive value using the sample before the crisis to predict liquidity shortages. Evidence shows that the academic (LiqC) and officially recommended indicators (NSFD) outperform LiqR as early warning signals. Furthermore, LiqC performs best when banks actively engage in income diversification but not fund diversification. Therefore, a well income-diversified bank with high LiqC tends to have high distress probability in the next period.     

基于移动Agent的无线传感器网络研究

无线传感器网络和移动Agent技术是计算机科学技术两个新的研究领域,两者都有各自独特的技术特点。文章简述无线传感器网络的体系结构特点,介绍了移动Agent技术,并把两种技术结合,提出基于移动Agent的无线传感器网络的模型,并设计实现。     

Economic convergence: Policy implications from a heterogeneous agent model

In this paper we study the effectiveness of different types of cohesion policies with respect to convergence of regions. A two-region agent-based macroeconomic model is used to analyze short-, medium- and long-term effects of policies improving human capital and fostering adoption of technologies in lagging regions. With fully integrated labor markets the human capital policy positively affects the economically stronger region but reduces production in the targeted weaker region. Subsidies for high technology investment in the weaker region have a positive local output effect and a negative effect on the neighboring region, thereby fostering convergence. When labor markets are not integrated both policies support convergence.     

The effects of bargaining power on trade credit in a supply network

We develop a multi-tier supply network model, rooted in social network theory, to evaluate the effect of bargaining power on trade credit and to track the effect of buyers' trade credit on suppliers' trade credit. We apply social network analysis to measure companies' bargaining power in the supply network of Hennes & Mauritz AB (H&M, the Swedish clothing retailer). The results show that the buyer's bargaining power significantly affects the choice of trade credit, and that the supplier's “upstreamness” is significantly associated with its trade credit. We find limited evidence to support the notion of a financial bullwhip effect, a result that merits further research, since this study is limited to the network of one company up to its fourth tier of suppliers in one financial year. Our results can be applied by companies seeking to control their cash flow and, therefore, the financial pressure within their supply network. This study contributes to the literature by bringing social network measures into the buyer–supplier financial flow, as well as offering one of the first empirical examinations of the propagation of financial pressure in a multi-tier supply network.     

Consumer rationality and credit card pricing: An explanation based on the option value of credit lines

An option is embedded in credit cards. Since credit cards offer open credit lines, cardholders can borrow at the same terms when they become riskier. This option value raises the zero‐profit card rate. Furthermore, adverse selection occurs if cardholders are better informed about the probability of becoming riskier in the future and borrow more when they become riskier. The adverse selection can limit rate competition and keep the card rate above the zero‐profit card rate. An up‐front fee is not a good alternative because it is also vulnerable to adverse selection. A low introductory card rate is an effective way to avoid the adverse selection problem when asymmetric information is mainly about the change in the borrower's risk profile in the future, as opposed to the riskiness in the present period. Copyright © 2004 John Wiley & Sons, Ltd.     

Mortality containment vs. Economics Opening: Optimal policies in a SEIARD model

We extend the classic approach (SIR) to a SEAIRD model with policy controls. A social planner’s objective reflects the trade-off between mortality reduction and GDP, featuring its perception of the value of statistical life (PVSL). We introduce realistic and drastic limitations to the control available to it. Within this setup, we explore the results of various control policies. We notably describe the joint dynamics of infection and economy in different contexts with unique or multiple confinement episodes. Compared to other approaches, our contributions are: (i) to restrict the class of functions accessible to the social planner, and in particular to impose that they remain constant over some fixed periods; (ii) to impose implementation frictions, e.g. a lag in their implementation; (iii) to prove the existence of optimal strategies within this set of possible controls; iv) to exhibit a sudden change in optimal policy as the statistical value of life is raised, from laissez-faire to a sizeable lockdown level, indicating a possible reason for conflicting policy proposals.     

Firm–bank credit network,business cycle and macroprudential policy

We present an agent-based model to study firm–bank credit market interactions in different phases of the business cycle. The business cycle is exogenously set, and it can give rise to various scenarios. Compared to other models in this literature strand, we improve the mechanism according to which the dividends are distributed, including the possibility of stock repurchase by firms. In addition, we locate firms and banks over a space and firms may ask credit to many banks, resulting in a complex spatial network. The model reproduces a long list of stylized facts and their dynamic evolution as described by the cross-correlations among model variables. The model allows us to test the effectiveness of rules designed by the current financial regulation, such as the Basel III countercyclical capital buffer. We find that the effectiveness of this rule changes in different business cycle environments and this should be considered by policy makers.