Failure to learn from failure: The 2008 mortgage crisis as a déjà vu of the mortgage meltdown of 1994

This article traces the developments in the market for residential mortgage-backed securities (MBS) during the period 1970–2008. Drawing on an analysis of trade publications, business press, and interviews with practitioners, it shows that an MBS market meltdown in 1994 provided clear signals of problems with MBS. The market participants did not re-evaluate their use of risk management tools or adjust security design in response to the 1994 crisis, suggesting a lack of understanding of the implications of the crisis. The 1994 meltdown showed that MBS were vulnerable to systematic risks and that these risks could precipitate an MBS market crash. Furthermore, the 1994 meltdown demonstrated that large-scale investment in MBS could affect the primary mortgage market, thereby rendering the MBS risks unpredictable. After 1994, MBS investment shifted to MBS backed by mortgages with default risk – a development that led to the crash of 2008. By drawing parallels between the 1994 and 2008 crises, this article shows how the MBS market failed to self-correct. The results suggest that financial market participants do not always incorporate relevant information in their decision-making and that market participants have difficulties in both foreseeing the effect of financial innovations on markets and interpreting these effects.     

How government regulation of interbank financing impacts risk for Chinese commercial banks

The rapid development of interbank financing in China has exposed financial institutions to increasing risk. In 2013, the China Banking Regulatory Commission implemented regulation on interbank financing for commercial banks. We assess the effectiveness of this regulation in reducing (i) the risk of commercial banks relative to non-bank financial institutions, where the latter are not subject to the regulation, and (ii) the risk of major commercial banks, which are more disposed to engage in interbank finance, relative to minor commercial banks. Our data are for the period 2006–2016 for 30 commercial banks (13 major, 17 minor) and 56 non-bank financial institutions. To control for other factors, we make use of a difference-in-difference estimation approach. Our measure of risk is the z-score, for which a higher value means a lower risk of bankruptcy. We find in support of the effectiveness of the regulation with z-scores for commercial banks rising relative to those of non-bank financial institutions and z-scores of major banks rising relative to those of minor banks following implementation of the regulation.     

Determinants of mobile broadband use in developing economies: Evidence from Sub-Saharan Africa

Broadband is seen as a vector of economic growth and social development. In the developing world, mobile technologies are widely adopted and mobile broadband is progressively rolled-out with high expectations on its impact on the countries’ development. We highlight what the determinants of mobile broadband use are in four Sub-Saharan countries. Using micro-level data coming from household surveys over 5 years, from 2013 to 2017, we show that SIM card ownership and being part of an online social community has a strong positive impact on mobile broadband use. We also highlight a positive correlation between digital inclusion and financial inclusion as mobile money users and bank account users are found to be more inclined to use mobile broadband. However, beyond apparent similarities, mobile broadband is used in different ways according to countries specificities. For instance, among the non-mobile owners in Nigeria, the unemployed are the most likely to use mobile broadband, most probably for job search practices, while it is rather used by students for information gathering in other countries. Finally we show that those excluded from mobile broadband use are the eldest, those with the lowest level of education, and women.     

Financial development,portfolio investments and the real economy in Africa

According to the conservative view, capital flows enhance economic growth. Focussing on Africa’s real economy, this study investigates the linkage between portfolio investments and real sector growth, and whether financial sector development strengthens this association. The study covers 30 countries over the period 1990–2017. We adopt the Lewbel instrumental variable general method of moments (IV-GMM) two-step robust estimator, which relies on heteroscedasticity for identification, while dealing with instrument insufficiency, unavailability, endogeneity and omitted variable bias. We found that portfolio equity has no growth impact on Africa’s real sector. Debt flows deter the growth of the overall real sector as well as the manufacturing and industrial sectors, but have no impact on agriculture and service growth. We found that financial development does strengthen the positive association between capital flows and economic growth, but this is dependent on the type of sector and portfolio investment, as well as on the degree of financial development. We control for known determinants of economic growth.     

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.     

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.     

To Trust or Not to Trust? Consumer Responses to Cause-Related Marketing

Abstract

The purpose of this study is to understand if company trustworthiness and the type of cause-related marketing (CRM) campaigns (strategic vs. tactical) affect purchase intention and company image of a yogurt producer, under the control of socially responsible consumer behavior, general trust, income, attitude toward the CRM campaign, and initial company image. The study applies a quantitative (experimentation) research to test the proposed model. MANCOVA was applied with data obtained from 600 respondents who were selected by a two-stage cluster sampling method. The research model is partially supported. Company trustworthiness and CRM type are found to affect only company image and without any interaction effect. Being a highly trustworthy company applying a CRM campaign has more positive influence on company image than a less trustworthy one. Additionally, a strategic CRM campaign creates more positive influence on company image than a tactical one. The findings are further deliberated with the managers of the two selected companies with focus group discussions.     

The impact of undergraduate personal finance education on individual financial literacy,attitudes and intentions

Financial literacy education features prominently among the policy options available to improve personal financial decision‐making. Notwithstanding calls to expand delivery of financial literacy units at university level, such offerings are relatively rare with little evaluation. We provide an evaluation of the impact on financial literacy, financial attitudes and financial behaviour intentions of a semester unit in personal finance delivered to undergraduates at an Australian university, carefully controlling for confounding effects in the analysis. We report increases in objective and subjective financial literacy and an additional gender effect. Contrary to previous speculation, we do not find overconfidence as an associated outcome.     

东道国金融发展对中国企业对外直接投资的影响:二元边际与生产率门槛

文章基于中国上市企业2008-2015年对外直接投资数据，分析东道国金融发展在扩展边际和集约边际上对企业对外直接投资决策以及投资所需生产率水平的影响。研究发现，在不同生产率的企业中东道国金融发展的影响是异质性的。较高的金融发展水平会系统性地降低投资所需的生产率水平，进而促进中国企业对外直接投资的概率、次数和规模。进一步的研究还发现，在经济发展水平比中国高的东道国金融发展的生产率效应更显著，投资所需生产率下降得更多。尽管如此，高经济发展水平东道国的最低生产率门槛仍然高于低经济发展水平的东道国。控制了金融发展指标和企业全要素生产率的内生性后，结果依然稳健。     

Discovering bank risk factors from financial statements based on a new semi‐supervised text mining algorithm

This paper aims to comprehensively uncover bank risk factors from qualitative textual risk disclosures reported in financial statements, which contain a huge amount of information on bank risks. We propose a new semi‐supervised text mining approach named naive collision algorithm to analyse the textual risk disclosures, which can more accurately identify bank risk factors compared with the typical unsupervised text mining approach. We identified 21 bank risk factors in total, which is far more than identified in previous studies. We further analyse the importance of each bank risk factor and how the importance of each risk factor changes over time.