The consequences to managers for financial misrepresentation

We track the fortunes of all 2,206 individuals identified as responsible parties for all 788 Securities and Exchange Commission (SEC) and Department of Justice (DOJ) enforcement actions for financial misrepresentation from January 1, 1978 through September 30, 2006. Fully 93% lose their jobs by the end of the regulatory enforcement period. Most are explicitly fired. The likelihood of ouster increases with the cost of the misconduct to shareholders and the quality of the firm's governance. Culpable managers also bear substantial financial losses through restrictions on their future employment, their shareholdings in the firm, and SEC fines. A sizeable minority (28%) face criminal charges and penalties, including jail sentences that average 4.3 years. These results indicate that the individual perpetrators of financial misconduct face significant disciplinary action.     

Diversification to mitigate expropriation in the tobacco industry

While it is well established that diversifying acquisitions by large, cash-rich firms destroy shareholder wealth, we document positive abnormal returns to such acquisitions in the tobacco industry. We show that these abnormal returns are associated with proxies for lower expected expropriation costs. Specifically, we show that wealth creation increases in the degree of domestic geographic expansion afforded by the acquisition (increasing tobacco firms’ influence in more political districts) and in the liquidity of tobacco firms’ assets (converting cash to harder-to-expropriate operating assets). We also show that the threat of expropriation constrains payments to shareholders before expropriation becomes certain in 1998.     

Evidence of differing market responses to beating analysts’ targets through tax expense decreases

Returns are positive when firms meet or beat analysts’ consensus forecasts, but negative when firms miss. Prior research finds little substantial discount for managing earnings to beat the forecasts via accruals generally. We consider whether the market reward for beating the forecast is smaller when firms use tax expense decreases, which are visible and transparent at the earnings announcement date, unlike accruals. When firms beat analysts’ forecasts by decreasing their tax expense relative to the third-quarter rate, the market discounts the reward by an economically significant amount: approximately 86%. We document lower persistence of current-year tax changes for those firms that decrease tax expense to beat the target. The observed discount for beating the forecast only because of a third to fourth quarter tax decrease may reflect market perceptions of the lack of persistence of the decrease.     

Pricing equity options everywhere

Finite difference methods are a popular technique for pricing American options. Since their introduction to finance by Brennan and Schwartz their use has spread from vanilla calls and puts on one stock to path-dependent and exotic options on multiple assets. Despite the breadth of the problems they have been applied to, and the increased sophistication of some of the newer techniques, most approaches to pricing equity options have not adequately addressed the issues of unbounded computational domains and divergent diffusion coefficients. In this article it is shown that these two problems are related and can be overcome using multiple grids. This new technique allows options to be priced for all values of the underlying, and is illustrated using standard put options and the call on the maximum of two stocks. For the latter contract, I also derive a characterization of the asymptotic continuation region in terms of a one-dimensional option pricing problem, and give analytic formulae for the perpetual case.     

Achieving smooth asymptotics for the prices of European options in binomial trees

A new binomial approximation to the Black–Scholes model is introduced. It is shown that, for digital options and vanilla European call and put options, a complete asymptotic expansion of the error in powers of n ^?1 exists. This is the first binomial tree for which an asymptotic expansion has been shown to exist.     

Predicting bankruptcy using the discrete-time semiparametric hazard model

The usual bankruptcy prediction models are based on single-period data from firms. These models ignore the fact that the characteristics of firms change through time, and thus they may suffer from a loss of predictive power. In recent years, a discrete-time parametric hazard model has been proposed for bankruptcy prediction using panel data from firms. This model has been demonstrated by many examples to be more powerful than the traditional models. In this paper, we propose an extension of this approach allowing for a more flexible choice of hazard function. The new method does not require the assumption of a parametric model for the hazard function. In addition, it also provides a tool for checking the adequacy of the parametric model, if necessary. We use real panel datasets to illustrate the proposed method. The empirical results confirm that the new model compares favorably with the well-known discrete-time parametric hazard model.     

Pricing of perpetual Bermudan options

Abstract

We consider perpetual Bermudan options and more general perpetual American options in discrete time. For wide classes of processes and pay‐offs, we obtain exact analytical pricing formulae in terms of the factors in the Wiener‐Hopf factorization formulae. Under additional conditions on the process, we derive simpler approximate formulae.     

How AIS can progress along with ontology research in IS

Recent years have witnessed a strong and growing interest in the computer science (CS) and information systems (IS) disciplines in applying and extending ontological principles to various CS/IS domains such as knowledge representation, natural language processing, conceptual modeling, and IS development. Similar interest and work have also been observed in accounting information systems (AIS) research. Though ontology research in AIS has enjoyed sustained interest and produced some significant results, there is relatively little incorporation of recent developments in CS/IS ontology research into AIS. This paper provides an overview of some leading areas of ontology research in CS/IS and AIS in an attempt to bridge this gap. The main objectives of this paper are to (1) introduce CS/IS ontology research, (2) highlight areas of future research in AIS where CS/IS ontology research developments can be used to address important and pressing issues, and (3) broaden an area of research where AIS can make unique contributions to distinguish itself.     

Boardroom centrality and firm performance

Firms with central boards of directors earn superior risk-adjusted stock returns. A long (short) position in the most (least) central firms earns average annual returns of 4.68%. Firms with central boards also experience higher future return-on-assets growth and more positive analyst forecast errors. Return prediction, return-on-assets growth, and analyst errors are concentrated among high growth opportunity firms or firms confronting adverse circumstances, consistent with boardroom connections mattering most for firms standing to benefit most from information and resources exchanged through boardroom networks. Overall, our results suggest that director networks provide economic benefits that are not immediately reflected in stock prices.     

EBITDA margin in brazilian companies Variance decomposition and hierarchical effects

This study explores the controversy between the business and academic perspectives regarding earnings before interest, taxes, depreciation, and amortization (EBITDA). Some authors argue that EBITDA is not useful as an indicator, except for comparing companies within the same sector (Assaf Neto, 2003, McClure, 2006, Stumpp, 2000). On the other hand, the business world strongly uses this type of indicator as a tool to support its decisions (Schmalensee, 1985, Moraes, 2005). This difference in opinions has aroused interest in understanding the reasons for its use and has raised questions regarding the usefulness of EBITDA for comparing companies from both the same and different sectors. By applying Hierarchical Linear Modeling (HLM), the main goal of this research is to observe EBITDA behavior across companies selling goods in Brazil, comparing them within the same sector and across different sectors over time. This research allows for the analysis of the reasons why EBITDA patterns occasionally occur. The results show significant variation in EBITDA among companies across the same sector and across companies from different sectors. On the other hand, our results have shown, nevertheless, that the variability among companies from the same sector was the highest one, raising questions on the actual usefulness of this indicator to compare companies from the same sector.