CEO tenure and audit pricing

Review of Quantitative Finance and Accounting - We examine the relationship between CEO tenure and audit fees. After controlling for client and auditor attributes in the analyses, we find that...     

Two-stage stationary bootstrapping for bivariate average realized volatility matrix under market microstructure noise and asynchronicity

Under the two important modern financial market features of noise and non-synchronicity for multiple assets, for consistent estimators of the integrated covariations, we adopt the two-time scale average realized volatility matrix (ARVM) which is a matrix extension of the two-time scale realized volatilities of Zhang et al. (2005). An asymptotic normal theory is provided for the two-time scale ARVM and resulting realized covariations. The asymptotic normality is not directly applicable in practice to construct statistical methods owning to nuisance parameters. To bypass the nuisance parameter problem, two-stage stationary bootstrapping is proposed. We establish consistencies of the bootstrap distributions, and construct confidence intervals and hypothesis tests for the integrated covariance, regression coefficient and correlation coefficient. The validity of the stationary bootstrap for the high frequency heterogeneous returns is proved by showing that there exist parameters of the stationary bootstrap blocks so that the bootstrap consistencies hold. The proposed bootstrap methods extend the i.i.d. bootstrapping methods for realized covariations by Dovonon et al. (2013), that are confined to synchronous noise-free sampling. For high frequency noisy asynchronous samples, a Monte-Carlo experiment shows better finite sample performances of the proposed stationary bootstrap methods based on the two-time scale ARVM estimator than the wild blocks of blocks bootstrap methods of Hounyo (2017), based on pre-averaged truncated estimator.     

The change in the value relevance of accounting information after mergers and acquisitions: evidence from the adoption of SFAS 141(R)

This study examines how and why investors change the use of their information sources in valuation between book value and earnings after mergers and acquisitions (M&A) in both pre- and post-SFAS 141(R) periods. We find that investors generally put less weight on earnings but more weight on book value after M&A than before M&A, and that such a change is particularly strong after the adoption of SFAS 141(R). By looking at goodwill, other intangible assets and other balance sheet accounts that SFAS 141(R) amended, we further find that SFAS 141(R) improves the value relevance of book value components after M&A.     

A retrospective on the state of international advertising research in advertising,communication, and marketing journals: 1963–2014

Scanning from the earliest to the recent literature on international advertising research, this study aimed to provide a more comprehensive and detailed picture of the research trends and patterns across the advertising, marketing, and communication disciplines over the past half century. Findings exhibit continuous growth in terms of the quantity of international advertising studies. While theoretical foundations need to be further solidified and elaborated, methodological and statistical rigors have been increasingly underpinned in international advertising research. Further, this study recognized authorial and institutional productivity, and influential articles in the field of international advertising research. The finding indicates that scholarly endeavors are necessary for diversity of countries studied in future research.     

Socio-technical analysis of Korea's broadband convergence network: Big plans,big projects,big prospects?

The goal of this study is to investigate the policy objectives of the broadband convergence network (BcN) and the realization of objectives. The Korean government launched the BcN project with the objective of converting Korea into an information society with ubiquitous broadband convergence for the advancement of growth and productivity. Based on content analysis of the policy documents and the literature related to BcN, this paper draws on the socio-technical framework for interpreting the data. Findings in this study suggest that, despite excellent technological innovation and proactive drive, uncertainty still remains with respect to how the BcN has evolved and its impact on the new telecom ecology to date.     

Option pricing and hedging under a stochastic volatility Lévy process model

In this paper, we discuss a stochastic volatility model with a Lévy driving process and then apply the model to option pricing and hedging. The stochastic volatility in our model is defined by the continuous Markov chain. The risk-neutral measure is obtained by applying the Esscher transform. The option price using this model is computed by the Fourier transform method. We obtain the closed-form solution for the hedge ratio by applying locally risk-minimizing hedging.     

Rating Agency Reputation,the Global Financial Crisis,and the Cost of Debt

Why do foreign firms obtain credit ratings by global rating agencies rather than from their home country's rating agencies even though global raters typically assign lower credit ratings when these foreign firms issue bonds in their home currencies? We find that bonds rated by a global agency decreased yields 11‐14 basis points (bps) when compared to those rated by Japanese rating agencies but, during the 2007‐2009 financial crisis, the yields on these Japanese bonds increased 12‐17 bps, thus fully negating the advantage of obtaining a bond rating from a global rater. This suggests that the reputation of global rating agencies declined during the 2007‐2009 crisis period.     

A reflection on analytical work in marketing: Three points of consensus

This article presents three points of consensus about game-theoretic work in marketing: First, equilibrium analysis is necessary for studying situations that have strategic interactions. In many cases, empirical examination of these strategic scenarios is difficult or impossible, at least without the guidance of an equilibrium model. Second, more general models are not necessarily ??better,?? because institutional details matter. Thus, the appropriate compromise between generality and specificity depends on the scope of the research question. Finally, there should be a two-way road between theory and empirics??theory is necessary to interpret empirical results, while empirical findings should guide theoretical modeling choices.     

Consumer motivation for the decision to boycott: The social dilemma

This study suggests a rational framework to explain consumers’ decision to boycott. We proposed an instrumental boycott framework based on rational response to the offending behaviour of a target company. The hypotheses embedded within the research model are empirically evaluated. The data were collected by questionnaire survey, and structural equation modelling was utilized for data analysis. The results show that social factors (message credibility, expected overall participation and perceived boycott effectiveness) generate motivations for consumers’ boycott decisions. In addition, it is identified that these factors increase consumers’ perceived likelihood of boycott success. Further, it is also found that consumers' perceived likelihood of boycott success positively affect their boycott decision via the possibility of changing a target company's offending behavior and unwillingness to purchase the target company's products. The results of this study explain consumers’ instrumental boycott decision‐making process in terms of social dilemma. Further, this study provides practical contributions for understanding consumers’ rational boycott behaviour. Specific implications for marketing managers and boycott organizations are outlined in the general discussion. Suggestions for future research are also presented in the conclusion.