1,721,139 research outputs found
Yuel Sumarno's Quick Files
No full textThe Quick Files feature was discontinued and it’s files were migrated into this Project on March 11, 2022. The file URL’s will still resolve properly, and the Quick Files logs are available in the Project’s Recent Activity
Yuel: Improving the Generalizability of Structure-Free CompoundProtein Interaction Prediction
No full textPredicting binding affinities between
small molecules and the protein
target is at the core of computational drug screening and drug target
identification. Deep learning-based approaches have recently been
adapted to predict binding affinities and they claim to achieve high
prediction accuracy in their tests; we show that these approaches
do not generalize, that is, they fail to predict interactions between
unknown proteins and unknown small molecules. To address these shortcomings,
we develop a new compound–protein interaction predictor, Yuel,
which predicts compound–protein interactions with a higher
generalizability than the existing methods. Upon comprehensive tests
on various data sets, we find that out of all the deep-learning approaches
surveyed, Yuel manifests the best ability to predict interactions
between unknown compounds and unknown proteins
Estimation and Prediction Tests of Cash Flow Forecast Accuracy
No full textRecently, analysts' cash flow forecasts have become widely available through financial information services. Cash flow information enables practitioners to better understand the real operating performance and financial stability of a company, particularly when earnings information is noisy and of low quality. However, research suggests that analysts' cash flow forecasts are less accurate and more dispersed than earnings forecasts. We thus investigate factors influencing cash flow forecast accuracy and build a practical model to distinguish more accurate from less accurate cash flow forecasters, using past cash flow forecast accuracy and analyst characteristics. We find significant power in our cash flow forecast accuracy prediction models. We also find that analysts develop cash flow-specific forecasting expertise and knowhow, which are distinct from those that analysts acquire from forecasting earnings. In particular, cash flow-specific information is more useful in identifying accurate cash flow forecasters than earnings-specific information.Copyright (c) 2011 John Wiley & Sons, Ltd
Brand royalty flows within large business groups: The effect of holding company structure and related party transactions committees
No full textThis study investigates the intragroup flows of brand royalties within large Korean business groups, known as chaebols. We find that member firms pay a greater amount of brand royalties when the business groups they are part of adopt a holding company governance structure, consistent with the bitter denunciation that chaebols transfer wealth from member firms to holding companies over which they have direct control. However, member firms pay a smaller amount of brand royalties when their related-party transactions (RPTs) are monitored by a designated RPT committee on the board of directors. The results show that monitoring RPTs is effective in mitigating the alleged unethical wealth transfer through excessive brand royalties within large business groups. Our study adds to the literature on RPTs by shedding new light on brand royalty, specifically by illustrating how intragroup brand royalties are determined and charged to member firms, and by introducing the RPT committees as a new internal governance mechanism to discourage abusive RPTs.
CEO war trauma and corporate tax avoidance
No full textThis paper investigates the impact of CEOs' traumatic experiences on corporate tax avoidance. Using CEOs who experienced the Korean War, we find that firms led by war-traumatized CEOs exhibit lower levels of tax avoidance than those led by non-traumatized CEOs. Our results are robust to controlling for managerial characteristics, such as CEO age, education, and stock ownership, and to the applications of propensity score matching, entropy balancing, and placebo tests. Analysis of CEO turnover further bolsters our main finding. We also find that the effect of CEO war trauma on tax avoidance is less pronounced for firms that belong to chaebols, have higher foreign investor ownership, and have award-winning CEOs. Overall, our results highlight the role of traumatic experiences in shaping CEOs' risk preferences, which, in turn, affect corporate tax planning.
Post-traumatic growth of CEOs and corporate giving: Evidence from the Korean War
No full textThis study investigates how CEOs' childhood traumatic experiences, specifically those arising from the Korean War experienced between the ages of six and twelve, influence corporate giving behaviors. Using corporate charitable contributions as a manifestation of "altruism born of suffering," we find that firms led by war-traumatized CEOs donate more than those led by non-traumatized CEOs. Our results remain robust with controls for CEO characteristics and are validated through propensity score matching, entropy balancing, turnover analysis, and placebo tests. In addition, we find that the effects of CEO war trauma on corporate giving are more pronounced when CEOs are highly educated, powerful, and have longer career concerns and that corporate giving by firms led by war-traumatized CEOs enhances future firm value, a benefit not observed in firms led by non-traumatized CEOs. Overall, this study highlights the impact of CEOs' post-traumatic growth on corporate policies.
Do analysts treat winners and losers differently when forecasting earnings?
No full textWe investigate whether the well-known positive association between past stock returns and analysts' earnings forecast revisions differs for stocks that have experienced extreme positive (or negative) price changes. We document an asymmetry in this association depending on whether a stock experienced consecutive rounds of capital gains (winner) or losses (loser): the association is strong for losers, but weak for winners. We also find that earnings forecasts are less accurate for analysts who treat winners and losers differently from moderately-performing stocks. However, the degree of such aberrant reactions to winners and losers and the consequent detrimental effect on the forecasting accuracy are less acute for analysts who have more forecasting experience with winners and losers. Finally, consistent with the efficient market hypothesis (EMH), we find that investors discount earnings forecast revisions by analysts who treat winners and losers differently, particularly after 2003, coinciding with the Global Settlement that aims to improve the integrity of analyst research and investors' financial literacy
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
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