What is being exchanged? Framing the logic of value creation in financial services

Financial service providers are facing a major paradigm shift. The understanding of what eventually constitutes customer value is being extended; economic value as the sole core of exchange is a far too limited perspective in contemporary competition. To address this emerging shift, the purpose of this study is to reframe the logic of value creation in financial services. As a result, a tentative framework for value creation logic in financial services is developed and discussed. On the basis of the framework, financial service providers should not limit their attention and resources to the exchange process, but identify innovative value-creating mechanisms through which they could contribute to the customer value actualization process. Our tentative framework (i) offers financial service providers guidance on which innovative value-creating mechanisms would enable them to participate in their customers’ value actualization process; (ii) shows how a product becomes a channel for a service, specifically a solution possessing value in the customer’s routine processes; (iii) illustrates that researchers and service providers should develop their understanding of customers beyond the traditional loan, insurance and/or investment product orientation.     

The exit decision in the European venture capital market

This article analyses the exit decision in the European venture capital market, studying when to exit and how it interacts with the exit form. Using a competing risks model we study the impact on the exit decision of the characteristics of venture capital investors, of their investments and of contracting variables. Our results reveals that the hazard functions are non-monotonic for all exit forms and suggest that, in Europe, Initial Public Offering candidates take longer to be selected than trade sales. Moreover our results show that, in Europe, venture capitalists associated with financial institutions have quicker exits (stronger for trade sales), and highlight the importance of contracting variables on the exit decision. An unexpected result is that the presence on the board of directors leads to longer investment durations.     

How to make Dupire’s local volatility work with jumps

There are several (mathematical) reasons why Dupire’s formula fails in the non-diffusion setting. And yet, in practice, ad-hoc preconditioning of the option data works reasonably well. In this note, we attempt to explain why. In particular, we propose a regularization procedure of the option data so that Dupire’s local vol diffusion process recreates the correct option prices, even in manifest presence of jumps.     

Application of the Reporting Entity Concept in Australia

For decades, the reporting entity concept has been the foundation of differential reporting in Australia. Those entities classified as ‘reporting entities’ are, prima facie, required to produce full GAAP‐based financial reports while other (non‐reporting) entities are generally able to produce less complex and shorter ‘special purpose’ financial reports. In recent years, the application of the concept, as originally set out in the Statement of Accounting Concepts (SAC) 1 Definition of the Reporting Entity, has been criticized on several grounds—particularly, that it does not yield the reporting outcomes originally intended by regulators. Our analysis of 1,546 companies lodging financial statements with the corporate regulator in Australia (ASIC) shows the principles‐based criteria in SAC 1, designed to indicate the existence of a reporting entity, do not systematically explain its application by entities. Our findings are relevant for policy makers, researchers, and regulators concerned with how these choices might be more effectively regulated in future and whether this is best done through principles‐based or rules‐based approaches.     

A New Method to Measure the Performance of Leveraged Exchange‐Traded Funds

We examine the effects of daily return compounding, financing costs, and management factors on the performance of leveraged exchange‐traded funds (LETFs) over various holding periods. We propose a new method to measure LETFs’ tracking errors that allows us to disentangle these effects. Our results show that the compounding effect generally has more influence on tracking errors than other factors, especially for long holding periods and in a “sideways” market. The explicit costs (i.e., the expense ratios) and other factors (e.g., financing costs) can materially affect the performance of LETFs, especially for those with high leverage ratios and bear funds.     

Income smoothing from a Census X-12 perspective

Corporate income smoothing has been the focus of much attention, yet relatively little is known about the key characteristics of income-smoothing firms. To address this issue, the current study uses quarterly data with Census X-12 analysis in a novel way to identify firms where the degree of random variability in earnings is less than the degree of random variability in sales (EVAR < SVAR). Prior research views such firms as effective smoothers, since most firms have scale-free variability profiles in the opposite direction (EVAR > SVAR). Large-sample US results identify these exceptions throughout a broad cross section of firms, but smaller and less profitable firms tended to have a higher incidence rate. Results also indicate that effective smoothers exhibited higher earnings persistence.     

Unconditional distributions obtained from conditional specification models with applications in risk theory

Bivariate distributions, specified in terms of their conditional distributions, provide a powerful tool to obtain flexible distributions. These distributions play an important role in specifying the conjugate prior in certain multi-parameter Bayesian settings. In this paper, the conditional specification technique is applied to look for more flexible distributions than the traditional ones used in the actuarial literature, as the Poisson, negative binomial and others. The new specification draws inferences about parameters of interest in problems appearing in actuarial statistics. Two unconditional (discrete) distributions obtained are studied and used in the collective risk model to compute the right-tail probability of the aggregate claim size distribution. Comparisons with the compound Poisson and compound negative binomial are made.     

When Do Times of Increasing Uncertainty Call for Centralized Harmonization in International Policy Coordination?

Under what conditions do times of increasing uncertainty, such as the ongoing global turmoil, call for international policy harmonization? We shed light on this question by developing a model of interjurisdictional policy coordination taking place under incomplete information and featuring uncertainty about jurisdictions' politico-economic fundamentals. We show how the effect of an increase in uncertainty on the desirability of policy harmonization varies with the pattern of asymmetries in jurisdictions' scale, mutual influence, and magnitude of the increase in uncertainty. Our analysis suggests that the case for policy harmonization as a governance response to growing uncertainty is not compelling.     

Information Systems for “Wicked Problems”

The objective of this commentary is to propose fruitful research directions built upon the reciprocal interplay of social media and collective intelligence. We focus on “wicked problems” – a class of problems that Introne et al. (Künstl. Intell. 27:45–52, 2013) call “problems for which no single computational formulation of the problem is sufficient, for which different stakeholders do not even agree on what the problem really is, and for which there are no right or wrong answers, only answers that are better or worse from different points of view”. We argue that information systems research in particular can aid in designing appropriate systems due to benefits derived from the combined perspectives of both social media and collective intelligence. We document the relevance and timeliness of social media and collective intelligence for business and information systems engineering, pinpoint needed functionality of information systems for wicked problems, describe related research challenges, highlight prospective suitable methods to tackle those challenges, and review examples of initial results.