The effect of mandatory auditor assignment and non-audit service on audit fees: Evidence from Korea

In Korea, regulators could assign auditors to firms. We investigate the relationship among audit fees, mandatory auditor assignment, and the joint provision of non-audit and auditor services in Korea. We find that assigned auditors charge significantly higher audit fees than freely selected auditors. We also find that the joint provision of non-audit and audit services does intensify the relation between auditor assignment and audit fees. Combined with the results of other studies that have shown that firms audited by assigned auditors report smaller amounts of discretionary accruals than firms audited by freely selected auditors, our results suggest the possibility that mandatory auditor assignment may improve auditor independence.     

The Effects of Four Dimensions of Strategic Orientation on Firm Innovativeness and Performance in Emerging Market Small- and Medium-Size Enterprises

We investigate the effects of technology, entrepreneurial, market, and learning orientations on firm innovativeness, and the mediating effect of firm innovativeness on these relationships, using a survey of 374 small- and medium-size enterprises in Korea. The results reveal that, while technology, entrepreneurial, and learning orientations significantly influence firm innovativeness, firm innovativeness has a significant effect on firm performance. We also find that firm innovativeness has a statistically significant mediating role in the relationships of technology, entrepreneurial, and learning orientations to firm performance. Our study contributes to strategic management and emerging market literature by identifying the pivotal role of innovativeness for firms that seek to benefit from various types of strategic orientations.     

The integrated yard truck and yard crane scheduling problem: Benders’ decomposition-based methods

This paper proposes a novel integrated model for yard truck and yard crane scheduling problems for loading operations in container terminal. The problem is formulated as a mixed-integer programming model. Due to the computational intractability, two efficient solution methods, based on Benders’ decomposition, are developed for problem solution; namely, the general Benders’ cut-based method and the combinatorial Benders’ cut-based method. Computational experiments are conducted to evaluate the effectiveness of the proposed solution methods.     

Fuzzy Numbers in the Credit Rating of Enterprise Financial Condition

Most of the parameters used to describe the credit rating are in linguistic terms, which are vague and difficult to put into precise numerical values. Fuzzy set theory, which was developed to handle this kind of vagueness, is used to represent and to aggregate the various linguistic data usually used in commercial banks. To illustrate the approach, numerical examples are solved and compared with existing approaches.     

Hedging derivative securities with genetic programming

One of the most recent applications of GP to finance is to use genetic programming to derive option pricing formulas. Earlier studies take the Black–Scholes model as the true model and use the artificial data generated by it to train and to test GP. The aim of this paper is to provide some initial evidence of the empirical relevance of GP to option pricing. By using the real data from S&P 500 index options, we train and test our GP by distinguishing the case in-the-money from the case out-of-the-money. Unlike most empirical studies, we do not evaluate the performance of GP in terms of its pricing accuracy. Instead, the derived GP tree is compared with the Black–Scholes model in its capability to hedge. To do so, a notion of tracking error is taken as the performance measure. Based on the post-sample performance, it is found that in approximately 20% of the 97 test paths GP has a lower tracking error than the Black–Scholes formula. We further compare our result with the ones obtained by radial basis functions and multilayer perceptrons and one-stage GP. Copyright © 1999 John Wiley & Sons, Ltd.     

Smooth Transition ARCH Models: Estimation and Testing

In this paper, we suggest an extension of the ARCH model, the smooth-transition autoregressive conditional heteroskedasticity (STARCH) model. STARCH models endogenously allow for time-varying shifts in the parameters of the conditional variance equation. The most general form of the model that we consider is a double smooth-transition model, the STAR-STARCH model, which permits not only the conditional variance, but also the mean, to be a function of a smooth-transition term. The threshold ARCH model, the Markov-ARCH model and the standard ARCH model are special cases of our STARCH model. We also develop Lagrange multiplier tests of the hypothesis that the smooth-transition term in the conditional variance is zero. We apply our STARCH model to excess Treasury bill returns. We find some evidence of a smooth transition in excess returns, but in contrast to previous studies, we find almost no evidence of volatility persistence once we allow for smooth transitions in the conditional variance. Thus, the apparent persistence in the conditional variance reported by many researchers could be a mere statistical artifact. We conduct in-sample tests comparing STARCH models to nested competitors; these suggest that STARCH models hold promise for improved predictions. Finally, we describe further extensions of the STARCH model and suggest issues in finance to which they might profitably be applied.     

Rare disaster risk and the expected equity risk premium

Consistent with the predictions of rare disaster models, we find that a proxy for the time‐varying probability of rare disasters helps to explain fluctuations in expectations of the equity risk premium. Our proxy for disaster risk is a recently developed measure of global political instability, and the expected market risk premium is from Value Line analysts' expected stock returns. Consistent with long‐run risk models, uncertainty about expected GDP growth and expected consumption growth is also significantly positively related to the expected market risk premium. We obtain similar results when we use the earnings–price ratio and the dividend–price ratio as proxies for the expected market risk premium.     

Does the Presence of Female Executives Curb Earnings Management? Evidence from Korea

We investigate the role of female executives in curbing earnings management behaviour in Korea, a country known for its strong male‐dominant culture. In a sample of Korean firms from 2002 to 2010, we find that female presence in top management is negatively associated with discretionary accruals, suggesting that gender diversity in senior management deters opportunistic financial reporting even in a highly male‐dominant corporate environment. Further, this association is primarily observed in firms with stronger (weaker) female (male) dominance. This finding is consistent with the idea that female executives can exert more influence on corporate decisions in a more female‐friendly environment. These findings have implications for academics and practitioners seeking to understand the impact of the role of top executive gender diversity in corporate accounting practices.     

Regulation and welfare: evidence from paragraph IV generic entry in the pharmaceutical industry

This article estimates welfare effects of accelerated generic entry via Paragraph IV challenges. Using data from 2000–2008 for hypertension drugs in the United States, we estimate demand using a random‐coefficients logit model. We find consumers gain $42 billion whereas producers lose $32.5 billion from entry. This modest $9.5 billion gain in social welfare is consistent with our observation that overall consumption does not increase after entry—generic sales displace branded sales, shifting surplus downstream from producers to consumers, insurance companies, and retailers. We demonstrate significant cross‐molecular substitution and discuss challenges in determining what fraction of downstream surplus actually goes to consumers.     

The role of political uncertainty in Australian financial markets

Within the developed world, recent Australian political history is uniquely turbulent. This situation invokes indecision regarding investment decisions in both the real economy and the financial markets. This paper explores the relationship between uncertainty in Australian federal election polling and resulting financial market uncertainty. Empirical evidence suggests that increasing (decreasing) levels of uncertainty around the election result induce higher (lower) levels of uncertainty in financial markets. The effect is more pronounced as polling day approaches. Industry‐level analysis suggests that the base materials sector is most significantly affected by election uncertainty in Australia.