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Charting the earnings numbers reported by Korean firms produces a bell curve, but for a sharp discontinuity in the area surrounding zero. The purpose of this paper is to investigate if and how a large segment of Korean managers might manage accounting numbers to produce the observed result.

This study adopts an empirical research method using Korean listed firms as a sample. The primary focus of investigation is on major income statement variables that might produce the observed results in earnings from operations and net income.

Managers of Korean firms opportunistically use almost all income statement variables to influence earnings numbers. They manage revenues and selling, general & administrative expenses to report small positive earnings from operations, but manage non-operating gains (losses) to report small positive net income.

This paper does not answer several questions related to loss avoidance. First, the paper did not examine which actions, such as discretionary accruals, opportunistic business decisions, or bogus transactions, were employed to affect line items on the income statement. Second, the paper did not investigate what specific incentives trigger Korean managers to report small positive earnings. Korean firms have traditionally raised capital by borrowing funds from creditors and governmental agencies. Thus, they may be concerned that reporting losses would reduce their borrowing capacity. Finally, corporate governance, such as CEO tenure and option grants may influence the extent of earnings management to avoid losses, but most corporate governance data for Korean companies must be manually collected. Accordingly, these subjects are left for future studies as well.

This study contributes to accounting literature by reporting how managers of Korean firms artificially coordinate major income statement variables and report small positive earnings figures, noting the differences between earnings management investigating methodology and ones used in previous studies.

We evaluate the performance of financial analysts versus naïve models in making long-term earnings forecasts. Long-term earnings forecasts are generally defined as third-, fourth-, and fifth-year earnings forecasts. We find that for the fourth and fifth years, analysts' forecasts are no more accurate than naïve random walk (RW) forecasts or naïve RW with economic growth forecasts. Furthermore, naïve model forecasts contain a large amount of incremental information over analysts' long-term forecasts in explaining future actual earnings. Tests based on subsamples show that the performance of analysts' long-term forecasts declines relative to naïve model forecasts for firms with high past earnings growth and low analyst coverage. Furthermore, a model that combines a naïve benchmark (last year's earnings) with the analyst long-term earnings growth forecast does not perform better than analysts' forecasts or naïve model forecasts. Our findings suggest that analysts' long-term earnings forecasts should be used with caution by researchers and practitioners. Also, when analysts' earnings forecasts are unavailable, naïve model earnings forecasts may be sufficient for measuring long-term earnings expectations.

This paper investigates distortions in financial statements that arise from employing capital assets. Use of historical cost depreciation tends to overstate earnings because of inflation effects, which in turn misrepresents firms' capacities to expand operations or to distribute dividends. We argue that the financial statement effects of inflation can be traced to two main sources: understated depreciation, and interest expense. Depending on a firm's capital structure choices, the distortion from historical cost depreciation is heightened or mitigated. Measurement errors in accounting numbers obscure the relation between price and earnings. We develop value relevant adjustments that enhance the informativeness of earnings. We also show that the effects of measurement errors from using historical cost depreciation are most pronounced in firms that carry lower levels of debt.

Presents a special issue, enlisting the help of the author’s students and colleagues, focusing on age, sex, colour and disability discrimination in America. Breaks the evidence down into manageable chunks, covering: age discrimination in the workplace; discrimination against African‐Americans; sex discrimination in the workplace; same sex sexual harassment; how to investigate and prove disability discrimination; sexual harassment in the military; when the main US job‐discrimination law applies to small companies; how to investigate and prove racial discrimination; developments concerning race discrimination in the workplace; developments concerning the Equal Pay Act; developments concerning discrimination against workers with HIV or AIDS; developments concerning discrimination based on refusal of family care leave; developments concerning discrimination against gay or lesbian employees; developments concerning discrimination based on colour; how to investigate and prove discrimination concerning based on colour; developments concerning the Equal Pay Act; using statistics in employment discrimination cases; race discrimination in the workplace; developments concerning gender discrimination in the workplace; discrimination in Japanese organizations in America; discrimination in the entertainment industry; discrimination in the utility industry; understanding and effectively managing national origin discrimination; how to investigate and prove hiring discrimination based on colour; and, finally, how to investigate sexual harassment in the workplace.

The pursuit of entrepreneurial opportunities is not always successful. On the one hand, entrepreneurial failure offers an invaluable opportunity for entrepreneurs to learn about their ventures and themselves. On the other hand, entrepreneurial failure is associated with substantial financial, psychological, and social costs. When entrepreneurs fail to learn from failure, the potential value of this experience is not fully utilized and these costs will have been incurred in vain. In this chapter, the authors investigate how the stigma of failure exacerbates the various costs of failure, thereby making learning from failure much more difficult. The authors combine an analysis of interviews of 20 entrepreneurs (who had, at the time of interview, experienced failure) with an examination of archival data reflecting the legal and cultural environment around their ventures. The authors find that stigma worsens the entrepreneurs’ experience of failure, hinders their transformation of failure experience, and eventually prevents them from utilizing the lessons learnt from failure in their future entrepreneurial activities. The authors discuss the implications of the findings for the entrepreneurship research and economic policies.

The librarian and researcher have to be able to uncover specific articles in their areas of interest. This Bibliography is designed to help. Volume IV, like Volume III, contains features to help the reader to retrieve relevant literature from MCB University Press' considerable output. Each entry within has been indexed according to author(s) and the Fifth Edition of the SCIMP/SCAMP Thesaurus. The latter thus provides a full subject index to facilitate rapid retrieval. Each article or book is assigned its own unique number and this is used in both the subject and author index. This Volume indexes 29 journals indicating the depth, coverage and expansion of MCB's portfolio.