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.     

The COVID-19 crisis: A public choice view

Many observers have been puzzled by the sight of otherwise freedom-loving citizens consenting to the stripping of their civil rights and the massive budgetary expansion of their governments in response to the COVID-19 pandemic. Conversely, governments who ‘kept their cool’ such as those of Brazil and Sweden were heavily criticised by the Western media. Adopting James Buchanan's contractarian approach, this article seeks to model how the interplay between citizens and their government is affected by a health crisis. Citizens' increased willingness to pay for improved control of risks is found to play a major role.     

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.     

能源企业技术创新能力对财务绩效的影响——基于企业规模的门槛效应研究

能源消费和供给的重要性使得政府给予能源企业技术创新更多关注和支持，能源企业经营存在较大风险使得能源企业技术创新能力对财务绩效的影响呈现一定特殊性。以我国能源企业2013-2018年技术创新投入与产出能力指标为样本数据，采用因子分析法和动态面板门槛效应模型，在评价能源企业技术创新能力的基础上，分别研究能源企业技术创新投入和产出能力对财务绩效的影响及企业规模门槛效应。研究结果表明，能源企业的技术创新投入和综合能力对财务绩效的影响存在显著的门槛效应，而产出能力的表现并不显著。研究结果可为国家和能源企业的技术政策制定和创新投入决策提供参考。     

I (Could Have) Told You! Early warning indicators and crisis performance of the 12 “old” Euro-countries under the economic crisis 2008–09

The impact of the economic crisis 2008-09 was remarkably different in the 12 “old” member states in the Euro-zone. Five of them were hit especially badly; four of them even had to be bailed out by the rest in one way or another. This paper asks if one could have foretold, based solely on information available prior to 1999, which of the countries then about to enter the Euro-zone would run into economic trouble once a serious economic crisis occurred. The focus is on the (post)predictive power of three kinds of leading indicators: economic indicators, political indicators (indicating quality of governance), and indicators derived from the theory of optimal currency areas (OCA). Since there are more indicators than cases, PLS-regression is used to gauge the (post)predictive strength of the indicators examined. The results show that political indicators have quite some (post)predictive power in this case, whereas indicators derived from OCA-theory do not do too well. Economic indicators perform better than indicators derived from OCA-theory, but generally less well than the political indicators. Thus, the experience from the latest economic crisis in the Euro-zone suggests that more emphasis should be placed on the quality of governance record of a country when deciding if it should be deemed fit to become a member.     

Foreign direct investment and economic growth: Is more financial development better?

We investigate the extent to which an increase in financial development affects the positive effect of foreign direct investment on economic growth. Although the financial sector is beneficial for economic growth, the effect of further financial development on growth is found to become insignificant. Using a dynamic panel threshold model on 62 middle- and high-income countries spanning the period 1987–2016, we re-examine the possible nonlinearity between finance, foreign direct investment, and growth. Consistent with the “vanishing effect” of financial development, we find significant evidence that foreign direct investment fosters growth in general, but the growth effect of foreign direct investment becomes negligible when the ratio of private sector credit to gross domestic product exceeds 95.6%. This finding is robust to different econometric methods, various subsamples and interaction analyses, and distinct financial development indicators.     

Personalized goal-based investing via multi-stage stochastic goal programming

In this paper, we propose a goal-based investment model that is suitable for personalized wealth management. The model only requires a few intuitive inputs such as size of wealth, investment amount, and consumption goals from individual investors. In particular, a priority level can be assigned to each consumption goal and the model provides a holistic solution based on a sequential approach starting with the highest priority. This allows strict prioritization by maximizing the probability of achieving higher priority goals that are not affected by goals with lower priorities. Furthermore, the proposed model is formulated as a linear program that efficiently finds the optimal financial plan. With its simplicity, flexibility, and computational efficiency, the proposed goal-based investment model provides a new framework for automated investment management services.     

VIX futures term structure and the expectations hypothesis

Tests of the expectations hypothesis reveal that the slope of the VIX futures term structure predicts the direction but not the magnitude of the evolution of the short-end of the curve, but predicts neither the direction nor the magnitude of short-term changes in the long-end of the curve. Relative value seeking spread trades, constructed to exploit such violations, deliver excess returns with annualized Sharpe ratios equal or greater than those of volatility-writing strategies deployed by VIX ETN's for a majority of the 32 spread trade combinations tested. I demonstrate that profits from beta-neutral variations of the spread trades, which are not compensation for taking on equity downside risk by design, are propagated by inflows of capital into VIX futures markets, after controlling for factors that measure changes in the availability of hedge fund capital, risk appetite, and momentum. At the heart of profits, and by extension the term structure anomalies, is a disproportionally elevated basis propagated by long VIX demand that enters the futures market through ETN channels.     

Why Do Politicians Intervene in Accounting Regulation? The Role of Ideology and Special Interests

Politicians frequently intervene in the regulation of financial accounting. Evidence from the accounting literature shows that regulatory capture by special interests helps explain these interventions. However, many accounting rules have broad economic or social consequences, such as their effects on income distribution or private sector subsidies. The perception of these consequences varies with a politician's ideology. Therefore, if accounting rules produce those consequences, ideology plausibly spills over and explains a politician's stance on the technical accounting issue, beyond special interest pressure. We use two prominent U.S. political debates about fair value accounting and the expensing of employee stock options to disentangle the role of ideology from special interest pressure. In both debates, ideology explains politicians’ involvement at exactly those points when the debate focuses on the economic consequences of accounting regulation (i.e., bank bailouts and top management compensation). Once the debates focus on more technical issues, connections to special interests remain the dominant force.     

Developments in accounting regulation: A synthesis and annotated bibliography of evidence and commentary in the 2016 academic literature

In this paper key regulation-related findings and commentaries in the 2016 academic literature are synthesized in annotated form. This paper is one in a series of previously published annotated bibliographies published in this journal. Papers published in academic outlets including The Accounting Review, Journal of Accounting Research, Journal of Accounting and Economics, Contemporary Accounting Research, Accounting Horizons, The Journal of Accounting, Auditing & Finance, Journal of Accounting and Public Policy, Journal of Business, Finance & Accounting, The Journal of Financial Reporting, Auditing A Journal of Practice and Theory, and Research in Accounting Regulation were reviewed for potential inclusion. The 2016 literature featured strong regulation-related threads as follows: financial accounting regulation, analysis of individual pronouncements, SEC regulatory activity and its impact, international financial reporting standards, income tax reporting, and auditing.