Conceptualizing inter‐regional partnership for tourism promotion: In case of the East Asia inter‐regional tourism forum (EATOF)

Tourism in East Asia is in transition. One of the most striking movements in international tourism arena in East Asia is the emergence of local initiative toward building a joint network of destination marketing. The East Asia Inter‐Regional Tourism Forum (EATOF) which has been embarked in September 2000 is a concrete example of this sort. Even though a regional association is a newly rising trend in tourism, conceptualizing a model of inter‐regional tourism cooperation has been scarcely attempted. The current paper is devoted to fill the academic lacuna by suggesting a systematic framework of inter‐regional association of tourism promotion. Then the case of the EATOF was critically analyzed and evaluated under the framework of the proposed type of networking. It is argued in this paper that the inter‐regional tourism cooperation is neither irrelevant with the regional situation, nor inconsistent with the theoretical logic.     

Litigation environment and auditors’ decisions to accept clients’ aggressive reporting

This study contributes to accounting and auditing literature by addressing two empirical questions: (1) whether litigation environment affects auditors’ decisions to accept clients’ aggressive reporting and (2) whether litigation environment, client business risk, and client retention pressure interact and jointly affect auditors’ decisions to go along with clients’ preferred accounting choices. Fifty-nine (59) US and sixty-one (61) Hong Kong auditors employed by the Big-4 accounting firms participated in this study. The result shows that litigation environment has a significant effect on auditors’ decisions. Auditors who practice in more litigious environments tend to be less willing to go along with clients’ aggressive reporting than those who practice in less litigious environments. This study also confirms that there is a significant interactive effect between litigation environment, client business risk, and client retention pressure on auditors’ decisions to accept clients’ aggressive reporting choices. Implications of the empirical findings for policymakers, standard-setting organizations, and international accounting firms, as well as directions for future studies, are discussed.     

Technology choice under duopoly

This paper presents a conjectural variation approach to demonstrate that competing firms will often distort their cost structures away from strict cost minimization for strategic reasons. In particular, it is shown that the nature of the desired distortions of production technology depends critically on the magnitudes of the firms' conjectural variations with respect to outputs as well as the firms' conjectural variations with respect to technology. These results are in sharp contrast to the conventional wisdom based on monopolized or perfectly competitive markets.     

The relationships of financial literacy with both financial behavior and financial well-being: Meta-analyses based on the selective literature review

This study conducted meta-analyses of the relationships between financial literacy and both financial behavior and financial well-being. Peer-reviewed articles published on financial literacy in the field of consumer studies were collected by July 29, 2020. Fourteen articles were eligible for the meta-analyses. The results showed positive relationships of financial knowledge with desirable financial behavior and financial well-being. Our comparison of objective and subjective financial knowledge indicated that subjective knowledge had stronger relationships with both financial behavior and financial well-being than objective knowledge. These two types of knowledge also had different paths to financial well-being in that subjective knowledge had both direct and indirect effects on financial well-being through financial behavior, whereas objective knowledge only had an indirect effect. The relationship between financial knowledge and financial behavior appeared stronger in cross-sectional data than in longitudinal data. The implications of these results and possible directions for future consumer science research were discussed.     

Testing linear factor models on individual stocks using the average F-test

In this paper, we propose the average F-statistic for testing linear asset pricing models. The average pricing error, captured in the statistic, is of more interest than the ex post maximum pricing error of the multivariate F-statistic that is associated with extreme long and short positions and excessively sensitive to small perturbations in the estimates of asset means and covariances. The average F-test can be applied to thousands of individual stocks and thus is free from the information loss or the data-snooping biases from grouping. This test is robust to ellipticity, and more importantly, our simulation and bootstrapping results show that the power of the average F-test continues to increase as the number of stocks increases. Empirical tests using individual stocks from 1967 to 2006 demonstrate that the popular four-factor model (i.e. Fama–French three factors and momentum) is rejected in two sub-periods from 1967 to 1971 and from 1982 to 1986.     

The disappearance of momentum

We investigate the dynamics of the momentum premium in the USA. The momentum premium is significantly positive only during certain periods, notably from the 1940s to the mid-1960s and from the mid-1970s to the late 1990s, and it has disappeared since the late 1990s. Our results further suggest that momentum profits have slowly disappeared since the early 1990s, in a process which was delayed by the occurrence of the high-tech and telecom stock bubble of the late 1990s. In particular, we estimate that the bubble accounted for at least 50% of momentum profits during the period from 1994 to 2000.     

Effect of disclosure regulation on earnings management through related-party transactions: Evidence from Taiwanese firms operating in China

This study examines the effect of disclosure regulation on earnings management using Taiwanese companies conducting transactions with China as the institutional setting. Measuring earnings management by the amount of discretionary accruals (DACCs), the study shows that disclosure regulation mitigates DACCs of Taiwanese firms engaging in related-party transactions with Chinese entities. Following enactment of the disclosure regulation in November 2000, DACCs among Taiwanese enterprises conducting transactions via offshore affiliates dropped. While the disclosure regulation helps to reduce earnings management, this study reports that such effect is asymmetric between high-tech firms and non–high-tech firms. Specifically, the disclosure regulation is effective in reducing earnings management among firms in non–high-tech sectors. However, such effect is not significant among firms in high-tech sectors. This study discusses the implications of empirical findings for corporate management, regulatory agencies, and firm stakeholders.     

Stationary bootstrapping for common mean change detection in cross-sectionally dependent panels

Stationary bootstrapping is applied to a CUSUM test for common mean break detection in cross-sectionally correlated panel data. Asymptotic null distribution of the bootstrapped test is derived, which is the same as that of the original CUSUM test depending on cross-sectional correlation parameter. A bootstrap test using the CUSUM test with bootstrap critical values is proposed and its asymptotic validity is proved. Finite sample Monte-Carlo simulation shows that the proposed test has reasonable size while other existing tests have severe size distortion under cross-section correlation. The simulation also shows good power performance of the proposed test against non-cancelling mean changes. The simulation also shows that the theoretically justified stationary bootstrapping CUSUM test has comparable size and power relative to other, theoretically unjustified, moving block or tapered block bootstrapping CUSUM tests.     

Are founder CEOs more overconfident than professional CEOs? Evidence from S&P 1500 companies

Research summary : We provide evidence that founder chief executive officers (CEOs) of large S&P 1500 companies are more overconfident than their nonfounder counterparts (“professional CEOs”). We measure overconfidence via tone of CEO tweets, tone of CEO statements during earnings conference calls, management earnings forecasts, and CEO option‐exercise behavior. Compared with professional CEOs, founder CEOs use more optimistic language on Twitter and during earnings conference calls. In addition, founder CEOs are more likely to issue earnings forecasts that are too high; they are also more likely to perceive their firms to be undervalued, as implied by their option‐exercise behavior. We provide evidence that, to date, investors appear unaware of this “overconfidence bias” among founders. Managerial summary : This article helps to explain why firms managed by founder chief executive officers (CEOs) behave differently from those managed by professional CEOs. We study a sample of S&P 1500 firms and find strong evidence that founder CEOs are more overconfident than professional CEOs. To date, investors appear unaware of this overconfidence bias among founders. Our study should help firm stakeholders, including investors, employees, suppliers, and customers, put the statements and actions of founder CEOs in perspective. Our study should also help members of corporate boards make more informed decisions about whether to retain (or bring back) founder CEOs or hire professional CEOs. Copyright © 2016 John Wiley & Sons, Ltd.     

The influence of regulations on the efficiency of telecommunications operators: A meta-frontier analysis

The telecommunications industry has a great ripple effect on the overall national economy. However, there is no consensus about what is the optimal regulation policy for the telecommunications industry. Regulations on the telecommunications industry are different by region (i.e. United States, European Union and Asia). A number of studies have been conducted on comparative efficiency analysis for different policies that apply stochastic frontier analysis or data envelope analysis. However, these comparative studies are inappropriate because the production functions for each region are not identical. Thus, this paper addresses meta-frontier methodology, which can reflect differences in production functions. The results indicate that the United States has the highest meta-frontier efficiency in contrast to previous research findings.