Trade credit and the joint effects of supplier and customer financial characteristics

We examine how access to bank credit affects trade credit in the supplier–customer relationships of U.S. public firms. For identification, we use exogenous liquidity shocks to supplier firms in the form of staggered changes to interstate bank branching laws. Using a variety of tests, we show that supplier firms with greater access to banking liquidity offer more trade credit to their customers. We also show that when bank branching restrictions are relaxed in the supplier’s state, the supplier–customer relationship is more likely to survive.     

全球股票市场间风险传染的测度、监管及预警

近年来,伴随金融一体化程度的加深,全球各股票市场间风险传染的动态复杂性加剧,其准确测度、高效监管及实时预警已成为优先事项。本研究选取全球21个代表性股票市场作为分析样本,首先基于广义向量自回归模型的滚动估计准确测度其间风险动态传染的高维网络序列,进一步借由矩阵值因子模型来稳健收缩上述序列,以探究其潜在动态核心结构,从而实现高效监管。最后,通过向量自回归模型的预测功能实现对全球股票市场间风险传染的实时预警。研究表明,全球股票市场间风险传染具有时变性,其监管与预警可通过少数与地理区域高度相关的风险区域间的动态传染关系及内部的市场构成来刻画。与此同时,我们发现中国内地等新兴市场的重要地位逐渐凸显。本文研究结论可为有效防范与化解金融风险提供有益参考。     

Microcredit games with noisy signals: Contagion and free-riding

The advent of microcredit financing has remarkably improved access to credit for the poor in many developing countries. Although several microcredit programs have adopted the joint liability scheme, economic theory suggests that joint liability could increase strategic default through contagion and free-riding. This paper aims at studying the extent of free-riding and contagion in joint liability lending. By using data from experimental repayment games conducted in Vietnam, with noisy signals that resemble actual microcredit programs, we found that subjects were motivated to free-ride under the joint liability scheme. While most empirical research in this area has focused on the problem of contagion, our findings point to the significance of investigating free-riding behavior under joint liability schemes. Analyses reveal that the free-riding tendency may be led by the irresponsiveness of repayment and shouldering behavior to the partner’s seemingly strategic default in the previous round.     

The spillover effects of infill developments on local housing prices

This paper examines the spillover effects of infill developments, which involve developing vacant or under-used parcels within existing urban areas that are largely developed, on local housing prices. Employing a difference-in-difference specification on a sample of 275 new developments and 55,887 sale transactions of houses in Singapore, we find that infill developments have a positive and persistent impact on local housing prices. The contagion effect is larger for infill developments that are built on teardown sites. The spillover effect can also be traced to the overpricing of new homes by developers. Overall, the evidence indicates that developers act as price leaders and contribute significantly to price discovery in the local housing market.     

Do contagion effects exist in capital flow volatility?

The cross-border transmission of a financial shock has been a subject of rich literature. While a large number of studies have focused on the phenomenon of strong co-movements of asset prices and capital flows in the event of financial stress, very few discussed the contagion or spillover effects in terms of capital flow volatility. This paper is one of the first attempts to assess, empirically, whether or not there is a global and regional spillover effect in the volatility of capital flows to emerging and developing countries. Based on the sample of 49 emerging and developing countries for the period 1980–2009, the empirical results suggest strong and significant contagion effects in the volatility of capital flows to individual economies. The magnitudes of contagion vary depending on the type of capital flows, whether it is foreign direct investment (FDI) or portfolio and other investment (mostly bank lending). The findings also suggest the volatility dynamics of gross flows is different from that of net flows. The volatility of net inflows is more exposed to intra-regional contagion compared to that of gross inflows.     

Can banks default overnight? Modelling endogenous contagion on the O/N interbank market

We propose a new model of the liquidity-driven banking system focusing on overnight interbank loans. This significant branch of the interbank market is commonly neglected in the banking system modelling and systemic risk analysis. We construct a model where banks are allowed to use both the interbank and the securities markets to manage their liquidity demand and supply as driven by prudential requirements in a volatile environment. The network of interbank loans is dynamic and simulated every day. We show how the intrasystem cash fluctuations alone, without any external shocks, may lead to systemic defaults, and what may be a symptom of the self-organized criticality of the system. We also analyze the impact of different prudential regulations and market conditions on the interbank market resilience. We confirm that the central bank’s asset purchase programmes, limiting the declines in government bond prices, can successfully stabilize banks’ liquidity demands. The model can be used to analyze the interbank market impact of macroprudential tools.     

The more contagion effect on emerging markets: The evidence of DCC-GARCH model

The paper aims to test the existence of financial contagion between foreign exchange markets of several emerging and developed countries during the U.S. subprime crisis. As a result of DCC-GARCH analysis, we find the evidence of contagion during U.S. subprime crisis for most of the developed and emerging countries. Another finding is that emerging markets seem to be the most influenced by the contagion effects during U.S. subprime crisis. Since financial contagion is important for monetary policy, risk measurement, asset pricing and portfolio allocation, the findings of paper may be interest of policy makers, investors and portfolio managers.     

A Markov switching analysis of contagion in the EMS

This paper applies the multivariate version of the Forbes and Rigobon (2002) contagion test, as proposed by Dungey et al. (2005a), to detect contagion effects in the Exchange Rate Mechanism (ERM) of the European Monetary System (EMS). Crisis and non-crisis observations are determined endogenously via a Markov-switching vector autoregression (MSVAR). We show that the MSVAR is suitable for this purpose, as it does particularly well in identifying the 11 realignments of the ERM. We examine whether Denmark’s rejection of the Maastricht Treaty and Italy’s competitiveness problems affected other EMS participants and find evidence for contagion.