Fifty years of The Financial Review: A bibliometric overview

The Financial Review (FR) is a highly regarded journal publishing original empirical, theoretical, and methodological research in all areas of financial economics. It celebrated its golden jubilee year in 2018. Using bibliometric techniques, we analyze the journal's impact, prominent topics, most prolific authors, and their affiliated institutions and countries. Our analysis also identifies the most often cited articles at different points in the journal's history. Using textual data analytics, we identify the most frequent themes discussed between 1969 and 2018 by decade.     

Drivers of research impact: evidence from the top three finance journals

We study the characteristics of all published papers in the top three finance journals (JF, JFE and RFS), and how these paper characteristics affect the number of citations in Google Scholar and the Web of Science database. First, we find the characteristics in the universalist perspective remain constant while the characteristics in the constructivist and presentation perspectives increase over time. Second, some characteristics are significantly different between the high-impact and the low-impact papers. Third, paper quality, research method, journal placement and paper age are the most important drivers. Last, different drivers play different roles in different journals.     

How have US banks adopted the Financial Accounting Standards Board's Level 3 fair value disclosure rules?

We examine how banks have complied with the Financial Accounting Standards Board's disclosure rules on Level 3 recurring fair value measurements. We document widespread noncompliance with the basic disclosure requirements. We also find that the noncompliant banks are smaller in size and are associated with lower audit quality, lower institutional ownership and less effective internal controls. Our results should be of use to regulators, auditors and audit committees in the United States, Australia and other countries for assessing the likelihood of noncompliance with fair value disclosure rules and improving the quality of fair value disclosures provided to investors.     

Strategic insider trading around earnings announcements in Australia

This paper tests, within the Australian setting, whether directors strategically time trades in their own firms, around earnings announcements, in the context of impediments to trading in the immediately preceding period. I show that both signed and unsigned trade activity are insignificantly different from zero in the preceding period, and significantly negative and positive after the event. Further, directors in Australia significantly sell following positive earnings news, and buy after negative news, providing evidence of ‘indirect’ trading. Directors’ trades in the longer-term pre-announcement period are also negatively related to the news content sentiment, contrary to expectation. Finally, I find evidence of positive autocorrelation between directors’ trades over the longer-term past, and those executed after earnings announcements, which, in the absence of the ‘short-swing’ rule in Australia, casts doubt over short-term strategic insider trading, more generally.     

Market response to syndicated loan announcements from high-profile failed and acquiring banks during the global financial crisis

Previous studies that have examined the impact of the 2008 financial crisis on syndicated loans have ignored potential differences between lending banks by explicitly or implicitly aggregating all lenders together and focusing on borrower characteristics. One must jointly consider both borrower and lender to fully understand the complex role of the syndicate during this period. We consider the identity of the lender, with a focus on five major US banks that failed and their five corresponding acquirers. Our results highlight the distinct roles of investment and commercial banks and facilitate an understanding of relationship and transactional-based lending.     

博物馆数字化建设与金融文化传播——以东北亚金融博物馆为例

博物馆作为公共文化机构,承担着向公众提供文化服务的职责。随着科学技术(特别是信息技术)的发展,博物馆开启了数字化建设的进程。博物馆数字化建设的目的并不是要取代传统博物馆,而是对实体博物馆在某些方面进行有益的拓展和补充。伴随着数字化建设,博物馆能够更好地满足公众多样化的文化需求,提供更好的文化体验。突发事件对博物馆数字化发展形成了一种倒逼机制,凸显了博物馆数字化的重要性。为了更好地传播金融文化,实现文化育人的目标,东北亚金融博物馆将通过“顶层设计、逐步推进、研究标准、规范建设、共建共享、未雨绸缪、创新技术、增加手段”等做法,探索数字化建设之路。     

The income inequality,financial depth and economic growth nexus in China

Income inequality has increased in China despite rapid economic growth. Income inequality could impinge on future development, leading to social tension or political instability. Our study investigates the short-run and long-run relationship between three important macroeconomic indicators—income inequality, economic growth and financial depth. We utilise a two-step procedure of ARDL bounds and Granger causality for the analysis. The bounds test indicates the presence of a cointegrating relationship between income inequality, financial depth and economic growth in the long run. In the second step, we utilise the Granger causality approach. Results show a bidirectional causality between financial depth-growth and a unidirectional causality between inequality-growth in the short run. In the long run, results reveal that growth and financial depth determine Gini. Our findings provide support for the inequality-widening effect due to economic growth and higher credit provided to the private sector. We find no evidence of inequality-narrowing or income-equalising effect in the long run for the period of study. It is possible that the government's inclusive growth policies which started less than a decade ago have not taken effect for us to capture the inverted U-shape income equalising effect significantly.     

Mining semantic features in current reports for financial distress prediction: Empirical evidence from unlisted public firms in China

It is difficult to predict the financial distress of unlisted public firms due to their longer disclosure cycle of accounting information and more inadequate continuity of market trading information compared to listed firms. In this paper, we propose a framework to predict the financial distress of unlisted public firms using current reports. Specifically, to better represent the meaning of current report texts, we propose a semantic feature extraction method based on a word embedding technology. Empirical results show that current reports contain more effective information for predicting the financial distress of unlisted public firms compared with periodic reports. In addition, semantic features extracted using our proposed method significantly improve the predictive performance, and their enhancing effect is superior to that of topic features and sentiment features. Our study also provides implications for stakeholders such as investors and creditors.     

Innovative Credit Guarantee Schemes with equity-for-guarantee swaps

Small and medium-sized enterprises (SMEs) faces much more severe financial constraints compared to large mature companies and it is more vulnerable to market imperfection. To alleviate SMEs’ financial constraints, Public Credit Guarantee Schemes (CGSs) have been introduced and widely used around the world. Having provided a thorough analysis of the effectiveness of the traditional CGSs, we introduce an innovative financing contract, referred to as equity-for-guarantee swap (EGS), with the aim of reducing SMEs’ financial constraints in a more effective way. We show that EGS effectively alleviates SMEs’ severe financial constraints as it transfers the information asymmetry between lenders and SMEs to that between insurers and SMEs We investigate how asset prices vary across time under the EGS contract and analyze insurers’ risk exposure, i.e. value-at-risk (VaR) and expected shortfall (ES), of participating in the EGS contract. Consistent with pecking order theory, SMEs tend to use debt financing first dispite the benefit of a boosted growth rate from private equity financing in our model.     

The impact of non-performing loans on bank lending in Europe: An empirical analysis

In the aftermath of the global financial crisis, considerable attention has been paid to the accumulation of non-performing loans in the balance sheet of European banks and to its potential negative effects on bank lending to the real economy. Using a dataset composed of bank-specific information and country aggregates, we study the impact of the stock and the flow of non-performing loans on the lending activities of a sample of 75 European banks between 2014 and 2018. In general, higher rates of non-performing loans, together with other variables, are associated with lower growth rates of performing loans. This effect persists across several econometric specifications and is more significant for those banks exhibiting lower growth rates of performing loans. Similarly, our econometric analysis suggests that banks with higher decreases in their rate of non-performing loans tend to lend more to the real economy, an effect which is particularly intense at the right tail of the distribution. The findings of our paper can be useful for policymakers when addressing the resolution of non-performing loans in banks.