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This paper aims to focus on the banking crises recorded in Italy in the period 1861-2016 and to propose a novel classification based upon the timing of the crisis with respect to the business cycle.

A simple and objective rule to distinguish between slowdown and inner-banking crises is introduced. The real impact of banking crises is evaluated by integrating the narrative approach with an empirical vector autoregression analysis.

First, banking crises are not always associated to economic downturns. Especially in Italy, (but this analysis can be easily extended to other countries), they have often limited their negative effects within the financial system (“inner” crises). Second, the simultaneity of macroeconomic effects (credit contraction and GDP recession) leave the causal link undetermined. Third, the empirical and narrative analyses performed testify that boom–bust mechanisms are an exception in the panorama of (Italian) banking crises; although when the economy experiences such episodes, the economic and social consequences are not only severe but also enduring.

To classify historically recognized banking crisis episodes, the authors look at credit and GDP dynamics (and their ratio) around crisis years. Relying on a single definition of crisis is avoided. The classification provides an empirical rule to determine in what way banking crises differ. The classification is mostly based on the synchronization with the business cycle and, using the documented evolution of macroeconomic aggregates, it permits to highlight the fact that a variety of interactions occur between financial and real aggregates during and around banking crises.

As to the concept of systemic banking crisis, a qualitative judgment is often adopted to select relevant episodes, thus confirming the absence of a quantitative rule in classification criteria (Chaudron and de Haan, 2014). This paper proposes a simple and objective rule to distinguish between slowdown and inner-banking crises; the former occur close to a GDP contraction, whereas the latter appear to spread their effects with no substantial evidence of output loss.

The purpose of this paper is to consider whether regional currency integration in sub-Saharan Africa ameliorates global macroeconomic shocks by considering the impact of the 2008-2009 global financial crisis on economic growth. This suggests that Central Africa Franc Zone (CFAZ) eurocurrency union membership amplifies the effects of global business cycles in sub-Saharan Africa.

The authors estimate the parameters of a quantity theory model of economic growth within a Generalized Estimating Equation (GEE) Framework.

Parameter estimates from GEE specifications reveal that the contraction in credit during the financial crisis of 2008-2009 had larger adverse growth effects on sub-Saharan African countries who were members of the CFAZ eurocurrency union. The authors also find that sub-Saharan African countries who were members of the CFAZ eurocurrency union were more likely to experience a contraction in credit.

As far as the authors can discern, no existing empirical growth models use a GEE framework to estimate parameters of interest. The GEE parameter estimates are distribution-free, robust with respect to unknown forms of heteroskedasticity, and control for a wide variety of error structures that can induce bias in panel data parameter estimates.

Presents chapter IX of Lauchlin Currie's PhD thesis which discusses bank assets and the business cycle.

This chapter explores the impact of international financial integration on credit markets in Latin America, using a cross-country dataset covering 17 countries between 1996 and 2008. It is found that financial integration amplifies the impact of international financial shocks on aggregate credit and interest rate fluctuations. Nonetheless, the net impact of integration on deepening credit markets dominates for the large majority of states of nature. The chapter also uses a detailed bank-level dataset that covers more than 500 banks for a similar time period to explore the role of financial integration – captured through the participation of foreign banks – in propagating external shocks. It is found that interest rates charged and loans supplied by foreign-owned banks respond more to external financial shocks than those supplied by domestically owned banks. This does not hold for all foreign banks. Spanish banks in the sample behave more like domestic banks and do not amplify the impact of foreign shocks on credit and interest rates.

This study investigates the significance of trade credit (TC) as an alternative source of funding in financing the growth of financially dependent firms.

Panel data analysis using the difference generalized method of moments (GMM) and fixed-effects ordinary least squares (FE-OLS) is conducted on annual data from publicly listed firms across a number of developing economies. The data cover the period from 2003 to 2019.

The findings indicate that financially dependent firms rely on TC to manage their growth, especially when they have exhausted their debt capacity. This dependence on TC displays a cyclical pattern. As firms enhance their financial position, they tend to scale back their dependence. Nevertheless, firms with significant growth opportunities continue utilizing TC for at least two years after their initial identification as financially dependent.

The author's conclusion highlights that TC can be a valuable and accessible source of funding, especially in developing economies where the real sector may require alternative financing channels. Hence, TC has the potential to play a very significant role in financing corporate growth in these economies.

The current study adds to the existing body of literature by revealing that access to alternative sources of finance is also critical for firms that are dependent on external sources and for firms that have exhausted their financial debt capacity.

The purpose of this paper is to investigate the relevance of credit supply for corporate capital structure decisions of manufacturing firms in Pakistan.

The implicit assumption in much of the work on capital structure is that for a firm, the availability of incremental capital depends solely on its characteristics. However, the capital market frictions suggest that suppliers of credit may also affect firms’ ability to borrow. The authors investigated this intuition by employing dynamic panel data estimators using 8,984 firm-year observations for the period 1990-2010.

The results show that short-term debt is a major source of financing in these firms. Further, credit supply plays a significant role in these firms’ capital structure decisions and hence, they increase their short-term debt (main financing source) with an increase in credit supply in the market while payoff their long-term debt with internal funds.

The findings of this study can enhance the practitioners’ and analysts’ understanding of capital structure of manufacturing firms in a bank dominated financial system, like Pakistan. Also, it can provide them more insight in understanding the alternative choices of financing and the reasons why firms prefer one over the other.

To the authors’ best knowledge, this is the first study in Pakistan that considers both supply-side as well as demand-side factors of capital structure and applies dynamic panel data techniques.

This paper focuses on the relationship between the regulatory capital requirements and the supply of credit for commercial banks that are operating in the MENA region from 1999 till 2017.

The application of the Fixed Effects Model on a panel of commercial banks in the MENA region has shown a negative relationship between supply of credit and both the capital requirements and solvency ratios.

The results showed that the idiosyncratic, the macroeconomic and the institutional variables affect the supply of credit behavior of banks. The robustness tests using the Two-Stage Least Square method (2SLS) also led to a negative correlation between the growth of credit and capital requirements. Specific macroeconomic and institutional variables have revealed the expected sign and are significant regardless of the estimated specifications.

This work can be subjected to further future extensions. The explanatory power of our model can be improved by incorporating variables that reflect the corporate governance and structure of banking sector. Similarly, we can also include a variable that takes into account the increasing competition that could affect the stability of the banking sector and therefore the prudential banking regulation.

Previous studies that investigated only the relationship between capital level and risk-taking behavior of banks in the MENA region did not take into account neither the economic and institutional environment nor the impact of these regulations on credit (loans) supply.

The purpose of this paper is to explore the impact of the credit expansion in 2009 and 2010 in China on the capital structure of listed real estate companies.

Chinese listed real estate companies are divided into two groups, state-owned and non-state-owned, because their access to credit markets have different priority to state-owned banks that dominate bank lending. The difference-in-differences approach is employed to test the impact of changes in leverage ratios and loan ratios before and after the credit expansion period in state-owned firms and non-state-owned firms.

Using quarterly panel regressions, the authors find that during the credit expansion period, state-owned companies exhibit a relatively greater increase in leverage ratios than non-state-owned firms. State-owned firms have greater increases in book leverage ratios, market leverage ratios and long-term debt ratios by 5.2, 4.9 and 1.1 per cent, respectively. It is also shown that loan ratios have increased more in state-owned firms than non-state-owned firms during the credit expansion period.

The paper explores only the impacts of credit expansion on capital structure of listed real estate firms in China. Further studies can be conducted to investigate the impact of credit supply on corporate investment decisions of real estate firms and on real estate markets.

The findings can help explain the surge in land and housing prices after 2008 in China. Deng et al. (2015) find that state-owned real estate firms paid more for land price than non-state-owned firms, which contributed to upward pressure on housing prices. This paper shows that such “over-investment” may be due to the increase of debt financing and availability of bank loans to real estate firms. Thus the credit market can affect real estate markets through debt financing at company level.

This paper is the first to investigate the impact of credit supply on capital structure of real estate companies, and presents evidence of the importance of credit supply as a determinant of capital structure.