Cross‐Country Evidence on the Importance of Auditor Choice to Corporate Debt Maturity

We examine the importance of Big Four audits in reducing agency costs evident in corporate debt maturity worldwide. Analyzing a large sample of public firms from 42 countries reveals that the fraction of long‐term debt in firms' capital structures rises with the presence of a Big Four auditor, suggesting that higher‐quality audits substitute for short‐term debt for monitoring purposes. In additional analyses, we find that the role that auditor choice plays in debt maturity is concentrated in firms from countries with strong legal institutions governing property rights and creditor rights. Collectively, our research implies that Big Four audits matter to corporate debt maturity, although the impact is isolated in firms operating in countries with more protective legal regimes.     

How does shopper-based mall equity generate mall loyalty? A conceptual model and empirical evidence

Understanding the antecedents of shopper mall loyalty remains one of the crucial issues for both mall managers and retailing researchers. We propose a conceptual model that explains the psychological process by which shopper-based mall equity (e.g., the perceived mall value) generates mall loyalty. We collected data from shoppers in two urban North-American shopping malls (N=905). The empirical results were generally supportive of the model: Mall loyalty was significantly predicted by the commitment that shoppers held toward the mall; and that commitment, in turn, was significantly predicted by shopper's positive awareness of the mall's characteristics, and shopper's self-congruity. The latter construct, in turn, was significantly predicted by mall image dimensions such as the mall's environment and the quality of the products and services found in the mall. We also found the model to be invariant between female and male shoppers. Theoretical and managerial implications of the model and the findings were also discussed.     

The GCC’s Fixed Exchange Rate: A Major Anomaly for OCA Analysis

From the standpoint of traditional optimal currency area (OCA) analysis, the Gulf Cooperation Council (GCC) countries are a major anomaly. They successfully maintained pegged exchange rates among themselves for two decades while failing to meet a number of major OCA criteria. Contrary to the optimistic predictions of some of the most enthusiastic advocates of endogenous OCA analysis, intra‐regional trade has remained low and there is little synchronisation of their business cycles or harmonisation of their fiscal positions. We argue that their success in operating a fixed rate regime has been due to a combination of high oil revenue, the heavy use of foreign workers and the limited extent to which their economies rely on market forces. These are conditions that are not met by most other countries.     

AN EXACT FORMULA FOR DEFAULT SWAPTIONS’ PRICING IN THE SSRJD STOCHASTIC INTENSITY MODEL

We develop and test a fast and accurate semi‐analytical formula for single‐name default swaptions in the context of a shifted square root jump diffusion (SSRJD) default intensity model. The model can be calibrated to the CDS term structure and a few default swaptions, to price and hedge other credit derivatives consistently. We show with numerical experiments that the model implies plausible volatility smiles.     

A Robustification of the Chain-Ladder Method

Abstract

In a non-life insurance business an insurer often needs to build up a reserve to able to meet his or her future obligations arising from incurred but not reported completely claims. To forecast these claims reserves, a simple but generally accepted algorithm is the classical chain-ladder method. Recent research essentially focused on the underlying model for the claims reserves to come to appropriate bounds for the estimates of future claims reserves. Our research concentrates on scenarios with outlying data. On closer examination it is demonstrated that the forecasts for future claims reserves are very dependent on outlying observations. The paper focuses on two approaches to robustify the chain-ladder method: the first method detects and adjusts the outlying values, whereas the second method is based on a robust generalized linear model technique. In this way insurers will be able to find a reserve that is similar to the reserve they would have found if the data contained no outliers. Because the robust method flags the outliers, it is possible to examine these observations for further examination. For obtaining the corresponding standard errors the bootstrapping technique is applied. The robust chain-ladder method is applied to several run-off triangles with and without outliers, showing its excellent performance.     

Societal marketing: A strategic view of the marketing mix in the 1970's

The marketing environment has experienced dramatic changes in the late 1960's and the 1970's. This article deals with the design of the marketing mix in the 1970's to meet the demand of its changing environment. It encompasses a conprehensive review of the marketing literature pertinent to the subject.     

DO MULTIPLE LARGE SHAREHOLDERS PLAY A CORPORATE GOVERNANCE ROLE? EVIDENCE FROM EAST ASIA

We examine the governance role of multiple large shareholder structures (MLSS) to determine their valuation effects in a sample of 1,252 publicly traded firms from nine East Asian economies. We find that the presence, number, and size of multiple large shareholders are associated with a significant valuation premium. Our results also show that the identity of MLSS influences corporate value and that the valuation effects of MLSS are more pronounced in firms with greater agency costs. Our results imply that MLSS play a valuable monitoring role in curbing the diversion of corporate resources.     

In search of meaning: Lessons,resources and next steps for computational analysis of financial discourse

We critically assess mainstream accounting and finance research applying methods from computational linguistics (CL) to study financial discourse. We also review common themes and innovations in the literature and assess the incremental contributions of studies applying CL methods over manual content analysis. Key conclusions emerging from our analysis are: (a) accounting and finance research is behind the curve in terms of CL methods generally and word sense disambiguation in particular; (b) implementation issues mean the proposed benefits of CL are often less pronounced than proponents suggest; (c) structural issues limit practical relevance; and (d) CL methods and high quality manual analysis represent complementary approaches to analyzing financial discourse. We describe four CL tools that have yet to gain traction in mainstream AF research but which we believe offer promising ways to enhance the study of meaning in financial discourse. The four tools are named entity recognition (NER), summarization, semantics and corpus linguistics.