Anomalies in finance: What are they and what are they good for?

In the natural sciences, anomalies contribute significantly to the development of new and ultimately more successful theories. The role of anomalies in financial economics, however, has been quite different. Although at the beginning, the word was used to show deviations from the Efficient Markets Hypothesis (EMH)/Capital Asset Pricing Model (CAPM) paradigm, lately, it has been applied to a new literature that is also more accurately called Behavioral Finance (BF). This paper argues that this misuse and misapplication of the word anomaly is not a simple coincidence. It is rather a sophisticated and accordant effort to imply that although there are some unresolved deviations from the norm, the reigning paradigm is irreplaceable, and its validity needs no empirical proof. In fact, an alternative paradigm such as BF is not only insignificant but also unnecessary and even impossible.     

Introduction to recent research topics in banking and finance

This note introduces a set of papers that have been presented to the third International Symposium on Computational Economics and Finance (ISCEF), organized in Paris on April 10–12, 2014, focusing on topics in banking and financial markets. This selection of papers emphasizes the role of the development of research in quantitative finance that benefited from the progress in econometric modeling and the availability of high frequency data. These studies carried in the context of the global financial crisis provide different interesting findings enabling to better understand financial market dynamics and banking sectors. We briefly analyze in this note their methodologies and discuss their empirical findings.     

Trading volume and stock returns: A meta-analysis

I examine 468 estimates on the relationship between trading volume and stock returns reported in 44 studies. I study publication bias together with Bayesian and frequentist model averaging to explain the heterogeneity in the estimates. The results yield three key conclusions. First, publication bias distorts the findings of the primary studies. Second, the predictability of stock returns varies with different markets and stock types. Third, different data characteristics, structural variations and methodologies used drive the heterogeneity in the results of the primary articles. In particular, one should be cautious when using monthly data or VAR models.     

On measuring serial correlation: Implications for finance and accounting research studies

Accounting and finance studies that measure serial correlation implicitly make two assumptions. One, the studies assume that the sample estimate of the autocorrelation coefficient is unbiased. The assumption is intuitively appealing, but incorrect. This article provides a measure of the size of the bias. Two, the studies assume that the target of the time series is constant over time. However, over a long period target values may change. This article models the general case in which not only do random shocks affect actual values, but also random changes affect target values.     

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.     

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.     

Teaching teenagers in finance: Does it work?

Many initiatives worldwide aim at improving financial literacy through targeted education programs, yet there is little evidence regarding their effectiveness. We examine the impact of a short financial education program on teenagers in German high schools. Our findings reveal that the training program significantly increases teenagers’ interest in financial matters and their financial knowledge, especially their ability to properly assess the riskiness of assets. Behaviorally, we observe a decrease in the prevalence of self-reported impulse purchases, but at the same time find no evidence of a significant increase in savings.     

Social and solidarity finance: A conceptual approach

An analysis of the social- and solidarity-finance system of relationships, which has characteristics that differ from those of other financial intermediaries, underpins the conceptual approach of this article. Social and solidarity finance constitutes a set of interdependent financial and social relationships, and partnerships between individuals and organisations, that mesh into an organised whole.This article makes use of institutional economics to understand those mechanisms of interaction between individuals, organisations and institutions that are not strictly economic. First, we offer a new conceptual framework on social and solidarity finance from an institutional point of view. Then, based on this framework, we outline the sustainability of alternative finance and its ability to respond to specific entrepreneurship needs. Finally, we present the French situation regarding social and solidarity finance to highlight the main characteristics of alternative finance.     

Liquidity crisis,relationship lending and corporate finance

This paper investigates the consequences of the liquidity shocks in wholesale funding markets during the 2007–2009 financial crisis on bank lending and corporate financing. We show that banks that relied more heavily on wholesale funding contracted lending more severely than banks that relied more on insured deposits. We then examine the effects of loan contraction on the financial positions of publicly traded firms. We find that both during and after the crisis, the change in leverage of bank-dependent firms is less than that of firms with access to public debt markets. In addition, bank-dependent firms rely more on cash than net equity issuance to finance operations. We also find that firms with established bank lending relationships weather the crisis better. Such firms are able to attain higher levels of leverage during the crisis, add to their cash holdings, secure new bank credit, and achieve higher profitability as a result.     

Positivism in finance and its implication for the diversification finance research: Diversifying finance research: From financialization to sustainability

This paper is a complementary comment to the article recently published in IRFA by Thomas Lagoarde-Segot on the necessity of diversification of modelling in finance. In his claim, the author explained that financial concepts used by the mainstream are not neutral because they refer to a particular ethical judgement mainly focused on the shareholders' interest. In this comment, I explain that this ethical judgement historically results from the role playing by the Gaussian distribution in finance: while this statistical framework gave the first scientific foundations to finance in the 1960s, its symmetrical configuration implies that negative changes occur with the same probability than positive ones. In this context, all potential intervention (regulation) could only interfere (disturb) this “ethically fair situation” within the only perturbing element is the shareholder whose behaviours are likely to influence the market. After having explained that this reasoning is based on an a priori statement about observational facts (in opposition with positivism), I present this situation as an opportunity for current researchers in finance to clarify their implicit assumptions; which would open the door to a diversification of modelling in finance as Lagoarde-Segot promoted it in his IRFA article.     

Econometric measures of connectedness and systemic risk in the finance and insurance sectors

We propose several econometric measures of connectedness based on principal-components analysis and Granger-causality networks, and apply them to the monthly returns of hedge funds, banks, broker/dealers, and insurance companies. We find that all four sectors have become highly interrelated over the past decade, likely increasing the level of systemic risk in the finance and insurance industries through a complex and time-varying network of relationships. These measures can also identify and quantify financial crisis periods, and seem to contain predictive power in out-of-sample tests. Our results show an asymmetry in the degree of connectedness among the four sectors, with banks playing a much more important role in transmitting shocks than other financial institutions.     

Publishing characteristics,geographic dispersion and research traditions of recent international accounting education research

This paper describes, analyses and critiques accounting education research over the period 2005–2009. In doing so, it compares and contrasts the distinctive North American research tradition with that of Europe and the rest of the world. Six journals and 446 publications by 963 authors were included in the sample frame, along with a further 70 publications in other journals. The findings identify distinguishing characteristics among these publications that range from the composition of their editorial teams to the nature and type of output they publish. Evidence was found of geographic dominance and divergent research traditions which has mitigated against the development of a genuinely international accounting education research community. Possibilities for further research are identified and guidance for researchers publishing in this field is presented.     

External finance and dividend policy: a twist by financial constraints

This study assesses distorting effect of financial constraints on the inverse relationship between internal and external finance by examining impact of an exogenous financing shock (i.e. a regulation released in China in 2008) on dividend policies in a quasi‐natural experimental setting. Our result shows that in the absence of the regulation, the inverse relationship holds. However, the relation is twisted by the 2008 regulation. Compared with unconstrained firms, financially constrained firms are more willing to pay dividends and are more restrained to reduce cash dividends after the regulation, despite the fact that their external financing capacities are further constrained.     

Morgan Systems,Inc.: Application of Six Sigma to the finance function

This teaching case is based on a Six Sigma project undertaken by a subsidiary of a Fortune 100 company to improve its quarterly financial-reporting process. It is presented as a six-phase Problem-Based Learning (PBL) unfolding problem. The first five phases correspond to the stages of the Define–Measure–Analyze–Improve–Control (DMAIC) model, a process-improvement methodology used extensively in Six Sigma. The sixth phase focuses on Six Sigma as a way of doing business.     

Cross-national differences in access to finance: Influence of culture and institutional environments

In spite of rising interest, there is little prior research on the degree to which national differences in access to finance are determined by national culture. Using World Economic Forum survey data for over eighty countries, this paper examines the determinants of (1) access to equity financing, (2) access to loan financing (3) access to venture capital and (4) overall access to capital. We document that less access to financing is associated with the cultural dimensions of uncertainty avoidance and masculinity. But, greater access to financing is positively associated with greater national wealth and better investor protection. Consistent with earlier literature we also find that greater access to finance is associated with greater government favoritism toward selected firms. These results should be of much interest to policy makers, scholars, bankers and managers of multinational firms.     

Managing customer expectations in financial services: Opportunities and challenges

Although studies have been conducted to advance our understanding of the concept of expectations, a number of challenges have been created in relation to the nature, types and dynamics of these expectations, and the effects of expectations on subsequent evaluations, both of which need closer attention. The objectives of this paper are to examine these challenges in the context of financial services, and discuss how financial service providers can manage customer expectations to their advantage. A set of propositions is developed, and suggestions for future research are also discussed.     

Machine learning methods in finance: Recent applications and prospects

We study how researchers can apply machine learning (ML) methods in finance. We first establish that the two major categories of ML (supervised and unsupervised learning) address fundamentally different problems than traditional econometric approaches. Then, we review the current state of research on ML in finance and identify three archetypes of applications: (i) the construction of superior and novel measures, (ii) the reduction of prediction error, and (iii) the extension of the standard econometric toolset. With this taxonomy, we give an outlook on potential future directions for both researchers and practitioners. Our results suggest many benefits of ML methods compared to traditional approaches and indicate that ML holds great potential for future research in finance.     

Mergers and acquisitions research in finance and accounting: Past,present, and future

This study presents an analysis of publication patterns and major themes in research on mergers and acquisitions in finance and accounting. We find that takeovers as mechanisms of governance, drivers of mergers, mechanisms of mergers, bank mergers, cross-border mergers, shareholder wealth effects of mergers and related events, and the role of financial experts and ownership structure form major themes of research in the finance area, while in accounting area major themes are corporate governance and accounting outcomes, predicting takeovers and their outcomes, valuation, financial reporting and takeover decisions, and financial reporting and performance.     

The “now” economy and the traditional accounting reporting model: Opportunities and challenges for AIS research

The real time economy (RTE) can be characterized by a substantive acceleration of business measurement, assessment, and decision processes. It implies a new business model where there is reduction of intra-process and inter-process latency. The AIS research literature has failed to develop new paradigms for accounting of accelerated processes. This paper places key relevant research questions for accounting, assurance, and business information systems in the RTE.     

How much finance is in climate finance? A bibliometric review,critiques, and future research directions

This study describes and analyses the research hotspots and evolution trends in climate finance research. Seven literature clusters that elucidate how different perspectives constitute the research landscape in climate finance and two main research hotspots that form the climate finance domain are identified. The empirical results also show that the research priorities of climate finance are still less “finance-based”. In the future, finance scholars should pay more attention to the financial dimension of climate finance. Finally, the research gaps within the existing climate finance literature are identified, and 35 research questions for future research are proposed.