A survey of network-based analysis and systemic risk measurement

The financial crisis led to a number of new systemic risk measures and a renewed concern over the risk of contagion. This paper surveys the systemic risk literature with a focus on the importance of contributions made by those emphasizing a network-based approach, and how that compares with more commonly used approaches. Research on systemic risk has generally found that the risk of contagion through domino effects is minimal, and thus emphasized focusing on the resiliency of the financial system to broad macroeconomic shocks. Theoretical, methodological, and empirical work is critically examined to provide insight on how and why regulators have emphasized deregulation, diversification, size-based regulations, and portfolio-based coherent systemic risk measures. Furthermore, in the context of network analysis, this paper reviews and critically assesses newly created systemic risk measures. Network analysis and agent-based modeling approaches to understanding network formation offer promise in helping understand contagion, and also detecting fragile systems before they collapse. Theory and evidence discussed here implies that regulators and researchers need to gain an improved understanding of how topology, capital requirements, and liquidity interact.     

Aggregate shocks and macroeconomic fluctuations: A bayesian approach

This paper describes Bayesian techniques for analysing the effects of aggregate shocks on macroeconomic time-series. Rather than calculate point estimates of the response of a time-series to an aggregate shock, we calculate the whole probability density function of the response and use Monte-Carlo or Gibbs sampling techniques to evaluate its properties. The proposed techniques impose identification restrictions in a way that includes the uncertainty in these restrictions, and thus are an improvement over traditional approaches that typically use least-squares techniques supplemented by bootstrapping. We apply these techniques in the context of two different models. A key finding is that measures of uncertainty, such as posterior standard deviations, are much larger than are their classical counterparts.     

Budgetary shocks and revenue adjustment: How governments respond to unexpected fiscal shocks

This paper uses panel data from seven Canadian provinces which received Equalization payments over the period 1980/81 to 1995/96 to examine how provinces adjust own-source revenue in response to past budget shocks. Governments respond symmetrically to past own-source revenue shocks: they increase or reduce own-revenue by $0.75 for every unexpected dollar shock in own-source revenue last year. In contrast, revenue responses to past grant shocks are asymmetric. Provinces lower own-source revenue by $0.87 in response to an unexpected extra dollar from Equalization last year. But, they make no adjustment following an unexpected Equalization shortfall. The magnitude of these responses suggest that provinces see a significant component of these shocks to be persistent. Lastly, the results with respect to past spending shocks are mixed. In contrast to recent empirical results on asymmetric responses to changes in grants, the results in this paper suggest that, at least in the short run, unexpected increases in Equalization are unlikely to have a large, stimulative effect on government spending.Received: February 2003, Accepted: November 2003, JEL Classification: H71, H77T. Snoddon: The author gratefully acknowledges the helpful comments of Ron Kneebone, participants at the CPEG conference, Calgary, June 2002, and seminar participants in the Department of Economics and Finance, La Trobe University, Melbourne, Australia, September 2002. I would also like to thank the two anonymous referees for their thoughtful comments.     

Agent-based modeling of systemic risk in the European banking sector

Journal of Economic Interaction and Coordination - In this paper, we use an agent-based simulation combined with innovative calibration techniques to model the European banking system as accurately...     

Profit efficiency in the European Union banking industry: a directional technology distance function approach

We employ the directional technology distance function approach and present estimates of profit efficiency in the 25 European Union (EU) member states over the period 1998–2008. This method decomposes profit efficiency into its technical and allocative components. We investigate potential efficiency differences across the old EU region and the new EU member states, across countries and across banks of different size. Our results indicate a significant level of profit inefficiency for the EU region, which is predominantly attributed to allocative inefficiency. Our findings also suggest that banks operating in the old EU region are, on average, more profit efficient than credit institutions in the new EU member states. Overall, we observe considerable variation of efficiency scores across countries and different patterns in efficiency change over time, as well as a negative relationship between bank size and efficiency.     

Realized volatility forecasting: Robustness to measurement errors

In this paper, we suggest how to handle the issue of the heteroskedasticity of measurement errors when specifying dynamic models for the conditional expectation of realized variance. We show that either adding a GARCH correction within an asymmetric extension of the $\mathsf{HAR}$  class ($\mathsf{AHAR}$-$\mathsf{GARCH}$), or working within the class of asymmetric multiplicative error models ($\mathsf{AMEM}$) greatly reduces the need for quarticity/quadratic terms to capture attenuation bias. This feature in $\mathsf{AMEM}$ can be strengthened by considering regime specific dynamics. Model Confidence Sets confirm this robustness both in- and out-of-sample for a panel of 28 big caps and the S&P500 index.     

Multiple banking relationships,managerial ownership concentration and firm value: A simultaneous equations approach

This paper examines how the number of banking relationships affects the interaction between managerial ownership and firm performance, and sheds light on the conditions under which banking relationships play a role in alleviating shareholder–manager conflicts. Our results provide several interesting insights. We document that bank monitoring has substantial value when managers are improperly incentivized, but that it becomes less important when managers are properly incentivized. There is a substitution effect between the value-increasing benefits of managerial ownership and bank monitoring. We also find that any existing free-riding concerns from having too many banking relationships are problematical only when Tobin's Q is high and managerial ownership is high.     

Networks and market-based measures of systemic risk: the European banking system in the aftermath of the financial crisis

This article investigates the behaviour of the European banking system during the financial crises that occurred in the last decades. Among the various approaches for measuring systemic risk, we consider network analysis, which describes the linkages among financial institutions and their whole structure. We construct a time-varying network of the European banking system. Banks are linked to form a global interconnected system and they mutually influence one another in terms of risk. We model their reciprocal influence via a weighted and directed network, in which weights are related to risk measures that are based on equity returns. Then, we apply two network indicators to investigate the prominence of a bank in spreading and receiving risk from the others. The results enable us to capture many features of the banking system while identifying the global systemically important banks. Moreover, the results of the analysis over time show how interconnections change over periods that are characterized by various economic scenarios.

     

Women in banking: a study in inequality

As a major area of employment for women, the banking industry provides considerable scope as a case study of equal opportunities in employment. This article aims firstly to analyse the extent and the various aspects of inequality in the English clearing banks and, secondly, to examine the extent of women's participation and influence within the major TUC-affiliated trade union in this field—BIFU.     

Large shocks,small shocks,and economic fluctuations: Outliers in macroeconomic time series

We analyse fifteen post-World War II US macroeconomic time series using a modified outlier identification procedure based on Tsay (1988a). ‘Large shocks’ appear to be present in all the series we examined. Furthermore, there are three basic outlier patterns: (1) outliers seem to be associated with business cycles, (2) outliers are clustered together—both over time and across series, (3) there appears to be a dichotomy between outlier behaviour of real versus nominal series. Also, after controlling for outliers, much of the evidence of non-linearity in many of the time series is eliminated.     

Computing systemic risk using multiple behavioral and keystone networks: The emergence of a crisis in primate societies and banks

What do the behavior of monkeys in captivity and the financial system have in common? The nodes in such social systems relate to each other through multiple and keystone networks, not just one network. Each network in the system has its own topology, and the interactions among the system’s networks change over time. In such systems, the lead into a crisis appears to be characterized by a decoupling of the networks from the keystone network. This decoupling can also be seen in the crumbling of the keystone’s power structure toward a more horizontal hierarchy. This paper develops nonparametric methods for describing the joint model of the latent architecture of interconnected networks in order to describe this process of decoupling, and hence provide an early warning system of an impending crisis.     

Structural investigation of supply networks: A social network analysis approach

A system of interconnected buyers and suppliers is better modeled as a network than as a linear chain. In this paper we demonstrate how to use social network analysis to investigate the structural characteristics of supply networks. Our theoretical framework relates key social network analysis metrics to supply network constructs. We apply this framework to the three automotive supply networks reported in Choi and Hong (2002). Each of the supply networks is analyzed in terms of both materials flow and contractual relationships. We compare the social network analysis results with the case-based interpretations in Choi and Hong (2002) and conclude that our framework can both supplement and complement case-based analysis of supply networks.     

A narrative networks approach to understanding coordination practices in emergency response

This paper examines coordination practices in emergency response by adopting a narrative networks approach (Pentland & Feldman, 2007). We apply this approach in the analysis of qualitative data collected in an empirical longitudinal study (2003–2006) of emergency response across a geographical region of Greece. We provide an in-depth narrative analysis of two different emergency incidents and the efforts to coordinate those. The paper concludes with the implications of using a narrative networks approach for understanding the temporal and situated nature of coordination, while placing emphasis on the performativity of coordination practices.     

Likelihood-based estimation in a panel setting: Robustness,redundancy and validity of copulas

This paper considers the estimation of likelihood-based models in a panel setting. That is, we have panel data, and for each time period separately we have a correctly specified model that could be estimated by MLE. We want to allow non-independence over time. This paper shows how to improve on the QMLE. It then considers MLE based on joint distributions constructed using copulas. It discusses the efficiency gain from using the true copula, and shows that knowledge of the true copula is redundant only if the variance matrix of the relevant set of moment conditions is singular. It also discusses the question of robustness against misspecification of the copula, and proposes a test of the validity of the copula. GMM methods are argued to be useful analytically, and also for reasons of efficiency if the copula is robust but not correct.     

Price,wage and employment response to shocks: evidence from the WDN survey

We analyse the relative intensity and character of price vs. cost and wage vs. employment firm-level adjustment to cost-push shocks in the European System of Central Banks Wage Dynamics Network (WDN) survey data set. The results document several statistically significant and theoretically sensible relationships: price increases are less likely when product market competition is more intense, and more likely when collective wage agreements or employment protection legislation constrain firm-level reactions. We discuss how changes of such structural and institutional features of firms and of their environment may underlie the evolution of macroeconomic adjustment mechanisms in Europe.     

Robustness issues in structural equation modeling: a review of recent developments

In structural equation modeling the statistician needs assumptions inorder (1) to guarantee that the estimates are consistent for the parameters of interest, and (2) to evaluate precision of the estimates and significance level of test statistics. With respect to purpose (1), the typical type of analyses (ML and WLS) are robust against violation of distributional assumptions; i.e., estimates remain consistent or any type of WLS analysis and distribution of z. (It should be noted, however, that (1) is sensitive to structural misspecification.) A typical assumption used for purpose (2), is the assumption that the vector z of observable follows a multivariate normal distribution.In relation to purpose (2), distributional misspecification may have consequences for efficiency, as well as power of test statistics (see Satorra, 1989a); that is, some estimation methods may bemore precise than others for a given specific distribution of z. For instance, ADF-WLS is asymptotically optimal under a variety of distributions of z, while the asymptotic optimality of NT-WLS may be lost when the data is non-normal     

Detecting shocks: Outliers and breaks in time series

A single outlier in a regression model can be detected by the effect of its deletion on the residual sum of squares. An equivalent procedure is the simple intervention in which an extra parameter is added for the mean of the observation in question. Similarly, for unobserved components or structural time-series models, the effect of elaborations of the model on inferences can be investigated by the use of interventions involving a single parameter, such as trend or level changes. Because such time-series models contain more than one variance, the effect of the intervention is measured by the change in individual variances.We examine the effect on the estimated parameters of moving various kinds of intervention along the series. The horrendous computational problems involved are overcome by the use of score statistics combined with recent developments in filtering and smoothing. Interpretation of the resulting time-series plots of diagnostics is aided by simulation envelopes.Our procedures, illustrated with four example, permit keen insights into the fragility of inferences to specific shocks, such as outliers and level breaks. Although the emphasis is mostly on parameter estimation, forecast are also considered. Possible extensions include seasonal adjustment and detrending of series.     

Introduction to international financial markets and banking systems crises

This note introduces to the literature streams explored in the special section on international financial markets and banking systems crises. All topics tackled are related to the Great Recession. A brief overview of the research questions and related literatures is provided.