Liberalization,Regulatory Delays and Vulnerability to Systemic Banking Crisis

This work aims at contributing to the improvement of the early warning systems of banking crises using a new approach accounting for model uncertainty. We show that a multinomial logit model based on Bayesian model averaging (BMA) is a good strategy to predict banking crisis. To do this, we argue that differences in vulnerability to banking crisis can be largely explained by an asymmetry between financial market evolution and regulation update on a sample of 49 developed and developing countries between 1980 and 2010. When markets are liberalized, competition pushes bankers to take more risks and take advantage of regulatory delays thus increasing crises probabilities. Our empirical evidence supports that crisis probability is higher in country liberalizing their banking system when regulation is not updated. We developed an early warning system for systemic banking crises based on the multinomial logit model. Its main difference to existing prediction models and its contribution to the literature is that it is intended to identify and resolve what is called by Bussiere and Fratzscher [(2006). Towards a new early warning system of financial crises. Journal of International Money and Finance, 25(6), 953–973] as post-crisis bias in binomial models and to develop a new methodology of leading indicators selection based on BMA. Overall, our model predicts all banking crises during our sample period.     

货币危机与银行危机共生因子实证分析——国别比较的视角

共生危机的事实表明,货币危机与银行危机共生的现象在不同类型的国家均可能出现,而非某一类国家所特有的现象.基于对共生性货币银行危机触发机制国别差异的考察,文章在对1980～2006年间60个国家共生危机发生情况识别的基础上,分别构建了工业化国家和发展中国家共生危机生成的逐步Logistic回归模型.研究表明,工业化国家的共生危机主要是经济中各类矛盾累积的结果,发展中国家则主要源于本国制度缺陷,而采用滞后一期的变量来解释工业化国家共生危机时,效果不显著.     

银行危机与货币危机共生性关系的实证研究

1 997— 1 998年的亚洲金融风暴中 ,银行危机与货币危机的同时爆发 ,即共生性危机的发生引发国际社会与学术界对这种现象的重新思考 :这种共生性现象是否确实具有普遍性 ?从理论的角度来看 ,银行危机与货币危机之间的确存在着一定的联系 ,但到目前为止 ,很少有研究从实证的角度来证明这种联系的确存在。正是基于此 ,本文从实证的角度出发 ,旨在揭示出银行危机与货币危机之间的确存在着相互影响 ,换言之 ,共生性危机的发生是具有显著性的。具体来说 ,本文以 1 975— 2 0 0 0年期间 53个国家危机的发生情况为研究对象 ,分别运用频率分布、信号法 ,以及概率回归模型来分析两种危机的共生性 ,并得到非常一致的结论 :在新兴市场国家中 ,银行危机与货币危机之间的确存在着明显的相互关系 ,同时银行危机更趋向于作为货币危机即将发生的同步或预警指标 ,而反之则不然。     

Financial liberalization,disaggregated capital flows and banking crisis: Evidence from developing countries

The aim of this paper is to examine whether financial liberalization has triggered banking crises in some developing countries. We focus in particular on the role of capital flows as their volatilities threat economic stability and growth. In the empirical model, based on panel logit estimation, we use the two common financial liberalization indicators (defacto and dejure) for a panel of 58 developing countries observed during the period 1984–2007. Unlike the previous studies, this paper reveals that both indicators of financial liberalization did not trigger banking crises. However, the results show that foreign debt liabilities to total liabilities and foreign direct investment liabilities to total liabilities increase the likelihood of banking crises.     

A contribution to the empirics of convergence in real GDP growth: the role of financial crises and exchange-rate regimes

This paper investigates the convergence in real gross domestic product growth focusing on the impact of financial crises (i.e. banking crises, currency crises and debt crises) and nominal exchange-rate regimes (i.e. fixed, intermediate and flexible) on convergence. To that end, we compute four convergence indicators (σ-convergence, γ-convergence, absolute β-convergence and conditional β-convergence) for 163 countries classified into four income groups during the period 1970–2011. The results suggest that (i) there is evidence in favour of σ-convergence and γ-convergence only for high-income countries; (ii) absolute and conditional β-convergence are present in each of the four income groups of the countries under study; (iii) exchange-rate regimes seem to play some role in upper-middle and lower-middle-income countries; and (iv) financial crises have a negative and significant impact on GDP growth independently of the income level of the countries.     

Capital account openness and early warning system for banking crises in G20 countries

This paper develops an early warning system for banking crises in the G20 countries, with the inclusion of capital account openness indicators. Results suggest that the capital account openness demonstrates a significant predictive power on systemic banking crises, and the impact is related with the level of the economic development. For low-income countries, increased capital account openness has a significantly negative impact on the banking crises likelihoods, while for high-income countries it imposes a positive impact. For middle-income countries, however, the occurrence of banking crises is more indifferent to capital account liberalization.     

Inter-linkages between competition and stabilisation policies in the banking sector and stock market development in Europe

The banking sector and the stock market in Europe have been adversely impacted by a series of global financial crises over the last two decades. Major financial reforms were implemented to enhance the stability and competition within the banking sector. Measures were also implemented to create a vibrant stock market in Europe to stimulate economic growth in Europe. This study examines the interactions between stock market development, banking competition, and banking stability in European countries from 1996 to 2016. The purpose of the study is to understand the inter-linkages between these variables to ascertain the spillover impact of policy reforms in the banking sector on the stock market and vice-versa. Using a vector error-correction model, the study finds long-run and short-run inter-linkages between banking competition, banking stability, and stock market development in European countries. The study’s most robust result is that banking competition and banking stability stimulate stock market development in the long run. There is also some evidence that healthy competition in the banking sector and stock market development instils greater stability in the banking sector. The results suggest that policy measures put in place to create a vibrant stock market must include elevating banking competition and banking stability, with policymakers being cognizant that causality may be bidirectional.     

Bank loan versus financial lease: how do traditional and innovative approaches within the banking sector influence economic growth? A comparative analysis between the US and China

ABSTRACT

The argument over the effects of financial structures on economic growth remains unsettled. This study, therefore, compares the dynamic correlation and lead–lag relationship between the different financial approaches within the banking sector (that is, traditional bank loans versus innovative financial leasing) and economic growth. We employ a continuous wavelet analysis using time-series data from 1982–2017 from the US (the world’s largest developed country) and China (the world’s largest developing country). The empirical results show that (1) episodes of significant correlation usually emerge during periods of reform, crisis or policy implementation; and (2) in China, traditional banking promotes economic growth in the long term, while the real economy only imputes the evolution of banks during critical economic reforms in the short term. Meanwhile, financial leasing could only promote the development of the real economy under suitable regulation; and (3) in the US, before the crises, the irrational growth of the real economy could increase bank assets, while during the crises, the traditional banking approach harms economic growth, and after the crises, financial leases play an important role in recovery. Therefore, we suggest that policymakers should establish adequate policies and regulations to solve the situation.     

Credit information sharing and banking crises: An empirical investigation

We study the effect of credit information sharing on the likelihood of banking crises using a comprehensive cross-country dataset for the period from 1975 to 2006. The empirical analysis shows that credit information sharing reduces the likelihood of banking crises and it does more so in low income countries. The effect is statistically and economically significant, and applies to both public registries and private bureaus. Furthermore, we show that credit information sharing reduces the impact of rapid credit growth on banking crises. Specifically, rapid credit growth is less likely to lead to a banking crisis in countries with credit information sharing.     

What determines the likelihood of structural reforms?

We use data for a panel of 60 countries over the period 1980–2005 to investigate the main drivers of the likelihood of structural reforms. We find that: (i) external debt crises are the main trigger of financial and banking reforms; (ii) inflation and banking crises are the key drivers of external capital account reforms; (iii) banking crises also hasten financial reforms; and (iv) economic recessions play an important role in promoting the necessary consensus for financial, capital, banking and trade reforms, especially in the group of OECD-countries. Additionally, we also observe that the degree of globalisation is relevant for financial reforms, in particular in the group of non-OECD countries. Moreover, an increase in the income gap accelerates the implementation of structural reforms, but increased political fragmentation does not seem to have a significant impact.     

Predicting Banking Crises with Artificial Neural Networks: The Role of Nonlinearity and Heterogeneity

Studies of the early warning systems (EWSs) for banking crises usually rely on linear classifiers, estimated with international datasets. I construct an EWS based on an artificial neural network (ANN) model, and I also account for regional heterogeneity in order to improve the generalization ability of EWS models. All of the banking crises in my test set are then predictable at a 24‐month horizon, using information from earlier crises. For some countries, estimation with a regional dataset significantly improves the predictions. The ANN outperforms the usual logit regression, assessed by the area under the receiver operating characteristics curve.     

Withstanding financial crises: would trade partners help or hurt?

This article provides new empirical evidence on the losses of real activity caused by various financial shocks. Spillover effects due to foreign trade linkages deserve special attention. To this end, we estimate a modify auto-regressive process and a Seemingly Unrelated Regression Equations estimator is used to account for the dependency of one’s country growth on its trade-weighted partners growth. We run estimations on a set of currency collapses, banking crises and sovereign defaults in 49 advanced and developing countries from 1978 to 2011. The trade-weighted foreign demand effect mitigated the economic downturn following a banking or a sovereign debt crisis in all countries, while only the advanced ones benefited from it after a currency collapse. Trade-based spillover effects make banking crises more costly in the developing countries, in those that liberalize their financial account. It contrasts with what is observed during currency or sovereign debt crises.     

Financial crises and time-varying risk premia in a small open economy: a Markov-switching DSGE model for Estonia

Under a currency board, the central bank relinquishes control over its monetary policy and domestic interest rates converge towards the foreign rates. Nevertheless, a spread between both usually remains. This spread can be persistently positive due to elevated risk in the economy. This paper models that feature by building a DSGE model with a currency board, where the domestic interest rate is endogenously derived as a function of the foreign rate, the external debt position and an exogenous risk premium component. Time variation in the volatility of the risk premium component is then modelled via a Markov-switching component. Estimating the model with Bayesian methods and Estonian data shows that the economy does not react much to shocks to domestic interest rates in quiet times but is much more sensitive during crises, and matches the financial and banking crises, which cannot be captured by the standard DSGE model.     

Conventional and Islamic Banks’ Performance in the Gulf Cooperation Council Countries; Efficiency and Determinants

This paper investigates the cost efficiency levels of the banking sectors of the Gulf Cooperation Council (GCC) countries for the period from 2001 to 2015 and provides a comparison of conventional and Islamic banks. We obtain measures of efficiency using a stochastic frontier model and the meta-frontier approach. The evidence demonstrates that Islamic banks are less efficient and have a weaker level of production technology than conventional banks. The cost efficiency of banks varies significantly across the six Gulf countries and over time. We adopt the results drawn from the meta-frontier model that allow to take into account the differences between the studied countries, and empirically examine the bank-specific, financial, macroeconomic, and political determinants of banking efficiency. The results provide evidence of the differential effects of the selected variables on the efficiency of conventional and Islamic banks. These variables affect the performance of the two types of banks in different ways and with different magnitudes.

     

International aid and financial crises in donor countries

The recent global financial crisis placed new economic and fiscal pressures on donor countries that may have long-term effects on their ability and willingness to provide aid. Not only did donor-country incomes fall, but the cause of the drop — the banking and financial-sector crisis — may exacerbate the long-term effect on aid flows. This paper estimates how donor-country banking crises have affected aid flows in the past, using panel data from 24 donor countries between 1977 and 2010. We find that banking crises in donor countries are associated with a substantial additional fall in aid flows, beyond any income-related effects, at least in part because of the high fiscal costs of crisis and the debt hangover in the post-crisis periods. Aid flows from crisis-affected countries are estimated to fall by 28% or more (relative to the counterfactual) and to bottom out only about a decade after the banking crisis hits. In addition, our results confirm that donor-country incomes are robustly related to per-capita aid flows, with an elasticity of about 3. Findings are robust to estimation using either static or dynamic panel data methods to account for possible biases. Because many donor countries, which together provide two-thirds of aid, were hit hard by the global recession, this historical evidence indicates that aggregate aid could fall by a significant amount (again, relative to counterfactual) in the coming years. We also explore how crises affect different types of aid, such as social-sector and humanitarian aid, as well as whether strategic interaction among donors is likely to deepen or mitigate the fall in aid.     

Tipping the (Im)balance: Capital inflows,financial market structure,and banking crises

An emerging consensus among scholars and policy‐makers identifies foreign capital inflows as one of the primary determinants of banking crises in developed countries. We challenge this view by arguing that external imbalances are destabilizing only when banks face substantial competition from securities markets in the process of financial intermediation. We assemble a dataset of banking crises covering the advanced industrialized countries from 1976 to 2011 and find evidence of a conditional relationship between capital inflows, a well‐developed securities market, and the incidence of banking crises. We further explore the impact of capital inflows on banks’ actual risk taking as indicated by their capital adequacy levels and measures of insolvency risk. Our results demonstrate that prudential capital cushions tend to decline with the combination of capital inflows and prominent securities markets. We highlight the political decisions—often made during the early days of a country's financial development—that determine the relative prominence of banks vs. non‐bank financial institutions and conclude with policy recommendations.     

Does the Degree of Development Matter in the Impact of Banking Crises on International Trade?

This paper analyzes how a country's degree of economic development affects the impact of banking crises on international trade. To this end, we estimate a gravity model of trade using a sample of 139 countries over the period 1975–2012. Our results show that middle income countries are generally the most negatively affected. In contrast, financial turmoil appears to have less impact on bilateral trade flows among high income countries and, more specially, among low income nations. The level of financial development, contract enforcement, as well as the extent of the use of banking credit within international trade all help to explain our findings.     

Beliefs, Bailouts and Spread of Bank Panics

This article highlights the spread of bank panics across countries, as the public reassesses governments' propensity to bailouts. Policymakers decide whether to save collapsing banking systems by weighing social costs of crises against the costs associated with raising taxes to finance rescue packages. Policymakers know those social costs of bank liquidation whereas the public does not. In this setup, financial crises may result from the public's self‐fulfilling prophecies about equilibrium outcomes, as lenders' expectations impinge on the taxation cost of bailouts. It follows that a banking crisis in a country leads creditors to reexamine policymakers' willingness to bailouts in other countries, which eventually makes their banks more vulnerable to self‐confirming depositors' runs.     

The effect of financial liberalization on banking sector stability

Several studies indicate that financial liberalization increases likelihood of a financial crisis without distinguishing between a normal period, unstable period preceding the onset of banking panics and crisis/post period. We explain in this paper the relationship between financial liberalization and banking sector vulnerability. Then, we argue that banking sector turmoil is most likely to occur after an intermediate degree of liberalization. Using a recently updated dataset for financial reforms, we find an inverted U-shaped relationship between liberalization and the likelihood of banking crisis for a sample of 49 countries between 1980 and 2010. We used a multinomial logit model in order to take into account what is called the ‘post crisis bias’. We ask whether the relationship remains when institutional characteristics of countries and dynamic effects of liberalization are considered. The empirical results indicate that the relationship between liberalization and banking sector stability depends strongly on the strength of capital regulation and supervision. With very weak regulation and supervision, the probability of banking crises is increasing with liberalization but this relationship is reversed as regulation and supervision become significant. The most important type of liberalization in relation to banking crises seems to be operational. A policy implication is that positive growth effects of liberalization can be achieved without increasing the risk of a banking fragility if appropriate institutions are developed.     

NATIONAL ACCOUNTS ESTIMATION USING INDICATOR RATIOS

We propose a new approach to national accounts compilation, which also serves as a formalization of current compilation practices. When formalizing the procedure, a distinction is made between (basic) data, national accounts identities and so-called indicator ratios. The latter are ratios of or percentage relations between national accounts variables, such as the relation between output and value added. Indicator ratios are currently used in national accounts compilation practices in order to make adjustments to the basic data or to fill in missing data. The latter use is particularly relevant when basic data are scarce, which is the case not only in many developing countries, but also in developed countries when annual accounts are compiled for recent periods. The (basic) data, indicator ratios and identities together are used in a Bayesian approach to estimate the values of national accounts variables and analytical indicator ratios based thereon. The amendment of the current practices consists in introducing reliability intervals of basic data and indicator ratios, which allows for the use of a much larger number of indicator ratios in the compilation and checking of national accounts data. The Bayesian compilation approach makes it possible–in contrast to current practices–to use indicator ratios both as priors and as analytical indicators.