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.     

Real income convergence and the patterns of financial integration in the EU

We analyse real income convergence among the EU28 countries throughout 1995–2017 and the relationship with the convergence patterns of financial systems. We apply the nonlinear latent factor model of Phillips and Sul (2007, 2009) to real incomes and the IMF financial development indices for financial markets and financial institutions (Svirydzenka, 2016), and identify convergence clubs endogenously. We have several results. First, income disparities narrowed significantly over the last twenty years; yet, the growth convergence process lost momentum triggered by the global financial crisis and countries legacies shaped up asymmetries that have crystallised. Second, countries' financial systems exhibit high fragmentation, especially for financial markets, with the new EU member states at a lower financial development, confirming the existence of a two-tier Europe. Overall, the convergence patterns for real incomes and financial development are strongly correlated. Finally, the financial structure matters and market-oriented economies feature higher long-run growth, indicating the need to implement pan-European policy actions that increase the opportunities of risk diversification, enhance capital raising and channel large-scale financing to firms.     

The impact on stock prices of deferral and elimination of internal control audit requirement for small firms

This paper examines the cumulative market reaction to the events related to deferral of internal control audit requirement under the Sarbanes-Oxley Act of 2002 and its elimination under the Dodd-Frank Act of 2010 for nonaccelerated filers (small firms). We document that small firms experienced negative cumulative abnormal returns around these events; and the differences between the cumulative abnormal returns for small firms and the two control groups (accelerated and large accelerated filers) were negative and significant at the 1% level. These results support the notion that market participants value the reliability of financial information irrespective of the firm size. Within the small firms, we find no firm characteristic significantly explains the market reaction to the events considered. That is, all small firms lost market value in reaction to the events that delayed and eliminated their internal control audit requirement.     

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.     

Financing energy efficiency retrofits in Chilean households: The role of financial instruments,savings and uncertainty in energy transition

High firewood consumption for heating produces high levels of pollution in cities in central and southern Chile, with serious consequences for health and quality of life. Energy efficiency measures (EEMs) have been identified as the best strategy to reduce air pollution and maximize social benefits. However, their adoption has been slow. The objective of this article is to investigate household preferences for financial incentives needed to promote private investments in EEMs in Central-Southern Chilean households and study the role of energy savings and the uncertainty about potential savings in the investment decision, with the aim of finding solutions to increase the adoption of these technologies. We use a choice experiment to explore the trade-off between the investment costs, financial instruments, energy savings, and the uncertainty about achieving the theoretical savings provided by engineering and architectural models. The results show that financial instruments play the most important role in this decision, followed by the savings achieved by the retrofit. Householders prefer to finance their investments with a mix of their personal resources and medium-term credits, trying to avoid long-term commitments. Although uncertainty was found to be a significant variable, it seems to play a small role in the investment decision.     

Political booms and currency crises

This paper shows evidence that political booms, defined as the rise in governments’ popularity, are associated with a higher likelihood of currency crises. The reasoning behind this finding is that prudent economic policies to address underlying weaknesses in the economy may be political costly for incumbent governments in the short-term. Hence, popularity-concerned governments may not have enough incentives to take such corrective actions in a timely manner. This approach, in turn, can deteriorate economic fundamentals and increase related risks in the economy which can eventually lead to crises. This paper sheds light on this phenomenon in the case of currency crises, suggesting that currency crises can be viewed as “political booms gone bust” events. Moreover, it finds that higher international reserves, higher exports, and a higher degree of financial openness alleviate the effect of political booms on currency crises.     

价值链视角下中心城市创新首位度评价与比较研究——以南京为例

基于创新价值链理论，构建创新首位度的理论内涵与评价体系，对南京和其它中心城市的创新首位度进行评价与比较。研究结果显示：①在总体首位度方面，南京位列省域中心城市排名下游，落后于西安、成都、武汉、郑州、广州等国家中心城市，自2008年以来一直落后于深圳、杭州、合肥、苏州等对标竞争城市且差距较大；②在分项首位度方面，南京的研发创新、产业创新首位度位列省域中心城市排名底端，导致南京在两个首位度矩阵中均处于C象限，创新价值链呈现严重的不均衡性；③省域中心城市普遍存在创新价值链的“漏斗效应”，即知识创新首位度＞研发创新首位度＞产业创新首位度，南京尤甚，说明技术创新过程存在大量沟壑；④拓展性研究表明，省域中心城市的创新首位度＞经济首位度＞人口首位度，但是近十年3个首位度的增速排序与上述情况相反，说明创新资源有着更强的集聚效应，应避免行政手段对创新资源的错配。最后，提出对策建议与研究展望。     

Data vs. information: Using clustering techniques to enhance stock returns forecasting

This paper explores the use of clustering models of stocks to improve both (a) the prediction of stock prices and (b) the returns of trading algorithms.We cluster stocks using k-means and several alternative distance metrics, using as features quarterly financial ratios, prices and daily returns. Then, for each cluster, we train ARIMA and LSTM forecasting models to predict the daily price of each stock in the cluster. Finally, we employ the clustering-empowered forecasting models to analyze the returns of different trading algorithms.We obtain three key results: (i) LSTM models outperform ARIMA and benchmark models, obtaining positive investment returns in several scenarios; (ii) forecasting is improved by using the additional information provided by the clustering methods, therefore selecting relevant data is an important preprocessing task in the forecasting process; (iii) using information from the whole sample of stocks deteriorates the forecasting ability of LSTM models.These results have been validated using data of 240 companies of the Russell 3000 index spanning 2017 to 2022, training and testing with different subperiods.     

Drivers of management control systems in tourism start-ups firms

This study examines the use of Management Control Systems (MCS) in travel and tourism start-ups. The study empirically examines 176 European tourism start-ups; data are collected via an online survey of start-up CEOs, and supplemented by financial statements of early-stage tourism firms. The results show that travel and tourism start-ups use formal systems for management control. We observe a relationship between the usage of these systems with specific internal and external environment characteristics. Finally, the results show that the historical financial performance of travel and tourism start-up firms affects MCS usage.