Corporate financial distress: The case of publicly listed firms in an emerging market economy

Occurrences of financial distress (FD) are not readily obvious yet can span several periods. This paper examines episodes of FD using industry‐relative (IR) firm‐/ accounting‐, market‐ and macro‐level information. Mixed logit regressions reveal that firm‐ and market‐based measures, as well as macro‐level variables explain the likelihood of FD in 263 publicly listed non‐banking firms in the Philippines during the period 1995 to 2018. Rates of identification of firms in financial distressed states of close to 69 percent are obtained at a cutoff probability of 0.30 in the model with time‐varying intercept and slope. This study shows the importance of recognizing heterogeneous firm behavior. The ability to more accurately predict the probability of FD and to determine the financial health of firms can help financial institutions in allocating funds and policy makers in predicting crises episodes.     

Incorporating textual information in customer churn prediction models based on a convolutional neural network

This study investigates the value added by incorporating textual data into customer churn prediction (CCP) models. It extends the previous literature by benchmarking convolutional neural networks (CNNs) against current best practices for analyzing textual data in CCP, and, using real life data from a European financial services provider, validates a framework that explains how textual data can be incorporated in a predictive model. First, the results confirm previous research showing that the inclusion of textual data in a CCP model improves its predictive performance. Second, CNNs outperform current best practices for text mining in CCP. Third, textual data are an important source of data for CCP, but unstructured textual data alone cannot create churn prediction models that are competitive with models that use traditional structured data. A calculation of the additional profit obtained from a customer retention campaign through the inclusion of textual information can be used by practitioners directly to help them make more informed decisions on whether to invest in text mining.     

Does more finance mean more inequality in times of crisis?

Many recent empirical studies show that both banking crises and financial development (FD) play an important role in understanding the dynamics of income inequality (IncI) over the last decades. However, so far no study has investigated the role of FD in the amplification of IncI following banking crises. This paper seeks to address this issue based on a sample of 69 banking crises in 54 countries over the 1977–2013 period. Our analysis suggests that FD is associated with a significant increase in IncI in the aftermath of banking crises. This result is robust to a broad range of alternative specifications and is unaffected by various potential sources of endogeneity. We also show that the relationship between FD and the redistributive consequences of banking crises is not subject to a threshold effect and is stronger for developing countries.     

Fair value accounting from a distributed cognition perspective

This study offers a unique interdisciplinary perspective on fair value accounting. The growing influence of esoteric financial instruments whose valuation is becoming increasingly complex makes it necessary to focus on actual valuation practices. Based on an extensive review, this paper regards fair value accounting for complex financial instruments as involving processes distributed among actors located inside and/or outside a reporting entity. It also draws attention to collaboration by organizations that apply their external and internal resources to perform complex financial valuations. Furthermore, it demonstrates that cases involving unusual market conditions underline the importance of human interactions to the valuation process.     

Corporate social responsibility reporting in financial institutions: Evidence from Euronext

The legitimacy, the identity and the social impact of financial institutions go beyond the generation of revenues for providers of capital, through financial intermediation. Financial institutions bear significant corporate social responsibility (CSR). We produce measures of CSR disclosure and explore the determinants of CSR disclosure practices in a cross section of financial institutions. Working with financial companies whose stocks are listed in the Euronext stock exchange, we find that the extent of disclosure of CSR practices is greater in large companies and also in companies of greater financial leverage. Therefore, increased corporate visibility and financial risk increase stakeholder demand for transparency on the social impact of financial institutions and their CSR practices.     

Floating a “lifeboat”: The Banque de France and the crisis of 1889

When faced with a run on a “systemically important” but insolvent bank in 1889, the Banque de France pre-emptively organized a lifeboat to ensure that depositors were protected and an orderly liquidation could proceed. To protect the Banque from losses on its lifeboat loan, a guarantee syndicate was formed penalizing those who had participated in the copper speculation that had caused the crisis bringing the bank down. Creation of the syndicate and other actions were consistent with mitigating the moral hazard from such an intervention. This episode contrasts the advice given by Bagehot to the Bank of England to counter a panic by lending freely at a high rate on good collateral, allowing insolvent institutions to fail.     

Financial development and barriers to the cross-border diffusion of financial innovation

This paper explores the determinants of financial development by focusing on the role played by barriers to the diffusion of financial technology. These barriers are measured using human genetic distance from the technology frontier. The results based on cross-sectional data for 123 countries suggest that genetic distance to the global frontier has an economically and statistically significant effect on financial development, in that countries that are genetically far from the technology leader tend to have lower levels of financial development. Genetic distance is found to have the largest effect, even after controlling for other determinants of financial development established in the literature. These findings indicate that cultural barriers to the diffusion of financial technology across borders impact financial development by influencing the follower countries’ ability to adopt and adapt innovations from the frontier.     

Hedging house price risk with futures contracts after the bubble burst

This paper extends the existing literature on managing house price risk. While previous work finds that a hedger would have reduced a large amount of variance in housing returns in Las Vegas, Nevada using Chicago Mercantile Exchange (CME) futures contracts, we show that neither static nor dynamic strategies would have maintained an effective hedge during the significant decline in housing prices. The inability to hedge house price risk using CME futures contracts ultimately calls into question the long-term viability of housing futures.     

玉林市存贷比运行特征、存在问题及对策建议——基于桂东四市比较

存贷款比例是银行业金融机构经营管理的重要指标之一,存贷比例过低不利于地方经济的发展。广西玉林市自2000年以来,存贷差逐年扩大,存贷比长期在低位徘徊,2013年存贷比在广西全区排最后一名。本文通过桂东四市（玉林市、梧州市、贺州市、贵港市）经济金融主要指标对比,分析玉林市银行业金融机构存贷比运行特征,揭示造成玉林市低存贷比的原因,提出提高存贷比的相关措施以及科学合理看待存贷比的建议。     

Did the value premium survive the subprime credit crisis?

We provide evidence that value stocks significantly underperformed growth stocks during the subprime credit crisis, despite a positive value premium before the crisis. The reversal in the value premium concentrates in financially constrained firms, suggesting it was due to the adverse influence of the crisis rather than confounding effects. These findings are robust to alternative financial constraint proxies and asset pricing models. The observation that value stocks are vulnerable to losses during extreme downturns like the crisis is consistent with them being riskier than growth stocks. Our findings have implications for the academic debate on the underlying cause of the value premium and for investors on the profitability of value investing strategies.