Whence the Beef: The Effect of Repealing Mandatory Country of Origin Labeling (COOL) Using a Vertically Integrated Armington Model with Monte Carlo Simulation

Increasingly, international trade policy analysis explores the economic effects of changes in ad-valorem tariffs or equivalent nontariff measures on vertically integrated markets for which high quality data are unavailable. Standard Constant Elasticity of Substitution (CES) Armington models fail to account for either vertical linkages or parameter uncertainty. Here, we introduce a vertically integrated, nested two-sector Armington model that incorporates uncertainty in the estimates of Armington elasticities through Monte Carlo simulation. As an illustrative case, we model the effects of changes in country of origin labeling (COOL) rules on the market shares of cattle in the U.S. beef market. By accounting for parameter uncertainty in this way, we are able to estimate the distribution of potential effects of repealing mandatory COOL. Ultimately, we predict that, in all but the most extreme cases, Mexico and Canada would not gain as much market share from the repeal of mandatory COOL as they claim in their World Trade Organization (WTO) filings against the regulation.     

The impact of firm prestige on executive compensation

We show that chief executive officers (CEOs) of prestigious firms earn less. Total compensation is on average 8% lower for firms listed in Fortune’s ranking of America’s most admired companies. We suggest that CEOs are willing to trade off status and career benefits from working for a publicly admired company against additional monetary compensation. Our identification strategy is based on matched sample analyses, difference-in-differences regressions, and a regression discontinuity design. We perform several robustness checks and exclude many alternative explanations, including that firm prestige just proxies for better corporate governance or for increased exposure of the pay-setting process to media attention.     

Asset allocation: How much does model choice matter?

This paper analyzes the optimal portfolio decision of a CRRA investor in models with stochastic volatility and stochastic jumps. The investor follows a buy-and-hold strategy in the stock, the money market account, and one additional derivative. We show that both the type of the model and the structure of the risk premia have a significant impact on the optimal portfolio, on the utility gain from having access to derivatives, and on whether the investor prefers to trade OTM or ATM options. We also show that model mis-specification results in significant utility losses. Omitting jumps in volatility can be devastating, in particular if the investor chooses the seemingly optimal OTM put options. A misestimation of the structure of the risk premia has a less devastating effect, but can still lead to a loss of around 4% in the annual certainty equivalent return.     

What actions can be taken to increase whistle-blowing in the classroom?

This study surveyed undergraduate business students on various issues concerning the potential of students whistle-blowing when they observe other students cheating. Developing the courage of one's conviction in our accounting students is important to accounting educators as we are also emphasizing traits such as integrity, skepticism, and professionalism to our accounting students. As the data were gathered in the first introductory-accounting course, students’ cheating and whistle-blowing attitudes were already established. We found that, while students who had cheated in the past were more likely to suggest incentives and cash rewards, students who had never cheated were more concerned with increased confidentiality. Consequently, the need for assuring strict confidentiality is as important to our accounting students as it was to our former accounting clients in developing the trust necessary for the disclosure of sensitive information.     

Market capitalization and Value-at-Risk

The potential of economic variables for financial risk measurement is an open field for research. This article studies the role of market capitalization in the estimation of Value-at-Risk (VaR). We test the performance of different VaR methodologies for portfolios with different market capitalization. We perform the analysis considering separately financial crisis periods and non-crisis periods. We find that VaR methods perform differently for portfolios with different market capitalization. For portfolios with stocks of different sizes we obtain better VaR estimates when taking market capitalization into account. We also find that it is important to consider crisis and non-crisis periods separately when estimating VaR across different sizes. This study provides evidence that market fundamentals are relevant for risk measurement.     

Accounting benefits and satisfaction in an ERP environment

Over the past decade, organizations all over the world have adopted enterprise resource planning (ERP) systems. There has been little research at a global scale regarding the accounting benefits of adopting enterprise systems. Moreover, there are virtually no studies that examine in detail the relation between accounting benefits and ERP user satisfaction. Sutton (2006) addressed the need for empirical research on the impact of ERP in terms of accounting advantages and disadvantages. The principal aim of our study was to investigate the accounting benefits that the adoption of an ERP system by companies may entail in relation to ERP user satisfaction. This study explored the impact that the ERP system has had on accounting information and practice. This study also examined whether or not there are differences between accountants and IT professionals concerning how each group assesses ERP accounting benefits and ERP user satisfaction. The participants of this study comprised 175 accountants and 96 IT professionals from 193 companies in Greece. The empirical evidence confirms a number of accounting benefits derived from ERP systems particularly for accounting process. No statistically significant differences were found between the perceptions of accountants and IT professionals concerning ERP accounting benefits. Furthermore, this research identifies factors related to accounting benefits and ERP cost which affect the level of ERP user satisfaction. The implications of these results for practice and research are explored. The findings of this study will be of value to any companies considering the inclusion of their accounting techniques and operations in an ERP system. Furthermore, the results of this study will provide stimulus for consequent research in the field in order to further examine and account for the accounting benefits that can occur from ERP system implementation as well as the effect of those benefits on ERP user satisfaction.     

Modeling exchange rate dependence dynamics at different time horizons

Despite an extensive body of research, the best way to model the dependence of exchange rates remains an open question. In this paper we present a new approach which employs a flexible time-varying copula model. It allows the conditional correlation between exchange rates to be both time-varying and modeled independently from the marginal distributions. We introduce a dynamic specification for the correlation using the Fisher transformation. Applied to Euro/US dollar and Japanese Yen/US dollar, our results reveal a significantly time-varying correlation, dependent on the past return realizations. We find that a time-varying copula with the proposed correlation specification gives better results than alternative dynamic benchmark models. The dynamic copula model outperforms at six different time horizons, ranging from hourly to daily, confirming the model specification.