Business Administration - Research Publications
Now showing items 1-12 of 81
Portfolio Liquidity and Security Design with Private Information
(Oxford University Press (OUP), 2021-11-18)
Abstract A privately informed seller seeks to liquidate a portfolio to raise cash. Each asset’s liquidity thus depends on the impact of its sale on the value of the entire portfolio. We demonstrate the importance of cross-signaling and derive sufficient conditions for a liquidity “pecking order” that determines the order of sale. For assets backed by a common pool, liquidity naturally aligns with seniority. Finally, we extend the portfolio liquidation game to consider security design and demonstrate the optimality of pooling securities and selling senior tranches or debt secured by the pool, with retention increasing in asset quality or informational asymmetry.
A spatial panel quantile model with unobserved heterogeneity
(Elsevier BV, 2021-10)
This paper introduces a spatial panel quantile model with unobserved heterogeneity. The proposed model is capable of capturing high-dimensional cross-sectional dependence and allows heterogeneous regression coefficients. For estimating model parameters, a new estimation procedure is proposed. When both the time and cross-sectional dimensions of the panel go to infinity, the uniform consistency and the asymptotic normality of the estimated parameters are established. In order to determine the dimension of the interactive fixed effects, we propose a new information criterion. It is shown that the criterion asymptotically selects the true dimension. Monte Carlo simulations document the satisfactory performance of the proposed method. Finally, the method is applied to study the quantile co-movement structure of the U.S. stock market by taking into account the input–output linkages as firms are connected through the input–output production network.
The Predictive Ability of Quarterly Financial Statements
A fundamental role of financial reporting is to provide information useful in forecasting future cash flows. Applying up-to-date time series modelling techniques, this study provides direct evidence on the usefulness of quarterly data in predicting future operating cash flows. Moreover, we show that the predictive gain from using quarterly data is larger for asset-heavy industries and industries with higher levels of earnings smoothness. This study contributes to the accounting literature by examining the usefulness of quarterly financial statements in predicting the realization of future cash flows. Our results help fill the gap in knowledge on quarterly financial statements and provide new insights on why the frequency of financial reporting matters. In addition, our findings have important policy implications for the ongoing debate over interim reporting requirements in multiple jurisdictions around the world.
Stakeholder Agency Relationships: CEO Stock Options and Corporate Tax Avoidance
Infusing stakeholder agency theory with insights from behavioural agency theory, we describe a frame‐dependent relationship between CEO stock option incentives and tax avoidance. Our theoretical framework highlights the role of competing shareholder demands in providing a salient reference point for a CEO contemplating the implications of tax avoidance for their stock option wealth. In a study of 2,573 publicly listed U.S. firms between 1993 and 2014, we show that the implications of CEO stock option incentives are contingent on whether the firm’s effective tax rate is anticipated to be below or above the tax rate of peer firms – an outcome that the CEO can cast as balancing stakeholder demands. Consistent with our theoretical reasoning, we also show that, both above and below this reference point, the implications of option incentives for corporate tax avoidance are amplified by the level of activist institutional ownership and attenuated by the CEO’s ability to unwind their bond with shareholders through hedging. In doing so, our study offers an impetus for a broader stakeholder approach to governance research examining CEO incentive alignment.
Conflict management style asymmetry in short-term project groups
(SAGE Publications, 2021-04-01)
Relatively little is known about how the composition of individual conflict management styles affects group functioning. This is unfortunate because, specifically in short-term project groups, this conflict management style composition may be pivotal given the strong task focus rather than establishing norms to guide or manage conflict. Therefore, we examined whether conflict style asymmetry within short-term project groups affects the link between intragroup conflict and the performance of groups. Data were collected among short-term project groups and the results suggest that asymmetry in both forcing and the problem-solving conflict management styles moderates the negative effect of task, relationship, and process conflicts on the performance of groups. We offer a discussion of the implications of these findings.
Benefit of the doubt: the buffering influence of normative contracts on the breach–workplace performance relationship
This study investigates the influence of employees' perception of managerial breach of the normative relational contract (i.e. the psychological relational contract at the group level) on workplace performance. Many employees in Australia are employed on a permanent or continuing basis and have normative relational contracts whose terms are embedded in human resource practices. We use normative relational contract theory to hypothesise that where there is a mutually recognised high-quality normative relational contract – a strong contract – the emotional bonds of loyalty that are developed by collective sense-making constrained negative reactions to breach. We also hypothesise that, where managers offer high-quality contract terms that are not recognised by employees, the failure to elicit loyalty means that breach has negative performance consequences. Panel data are obtained from a two-stage national, multi-source study of employees (n = 1,733) and senior human resource managers (n = 57). Results from hierarchical moderator regression analyses support the hypotheses. They demonstrate that a strong normative relational contract ‘buffers’ employees’ negative responses to breach.
Bayesian and maximum likelihood analysis of large-scale panel choice models with unobserved heterogeneity
(Elsevier BV, 2021-01-01)
This paper considers the estimation and inference procedures for the case of a logistic panel regression model with interactive fixed effects, where multiple individual effects are allowed and the model is capable of capturing high-dimensional cross-section dependence. The proposed model also allows for heterogeneous regression coefficients. New Bayesian and non-Bayesian approaches are introduced to estimate the model parameters. We investigate the asymptotic behaviors of the estimated parameters. We show the consistency and asymptotic normality of the estimated regression coefficients and the estimated interactive fixed effects when both the cross-section and time-series dimensions of the panel go to infinity. We prove that the dimensionality of the interactive effects can be consistently estimated by the proposed information criterion. Monte Carlo simulations demonstrate the satisfactory performance of the proposed method. Finally, the method is applied to study the performance of New York City medallion drivers in terms of efficiency.
Quantile Connectedness: Modeling Tail Behavior in the Topology of Financial Networks
We develop a new technique to estimate vector autoregressions with a common factor error structure by quantile regression. We apply our technique to study credit risk spillovers among a group of 17 sovereigns and their respective financial sectors between January 2006 and December 2017. We show that idiosyncratic credit risk shocks propagate much more strongly in both tails than at the conditional mean or median. Furthermore, we develop a measure of the relative spillover intensity in the right and left tails of the conditional distribution that provides a timely aggregate measure of systemic financial fragility and that can be used for risk management and monitoring purposes.
Systematic review of education and practical guidance on regression modeling for medical researchers who lack a strong statistical background: Study protocol
(PUBLIC LIBRARY SCIENCE, 2020-12-21)
In the last decades, statistical methodology has developed rapidly, in particular in the field of regression modeling. Multivariable regression models are applied in almost all medical research projects. Therefore, the potential impact of statistical misconceptions within this field can be enormous Indeed, the current theoretical statistical knowledge is not always adequately transferred to the current practice in medical statistics. Some medical journals have identified this problem and published isolated statistical articles and even whole series thereof. In this systematic review, we aim to assess the current level of education on regression modeling that is provided to medical researchers via series of statistical articles published in medical journals. The present manuscript is a protocol for a systematic review that aims to assess which aspects of regression modeling are covered by statistical series published in medical journals that intend to train and guide applied medical researchers with limited statistical knowledge. Statistical paper series cannot easily be summarized and identified by common keywords in an electronic search engine like Scopus. We therefore identified series by a systematic request to statistical experts who are part or related to the STRATOS Initiative (STRengthening Analytical Thinking for Observational Studies). Within each identified article, two raters will independently check the content of the articles with respect to a predefined list of key aspects related to regression modeling. The content analysis of the topic-relevant articles will be performed using a predefined report form to assess the content as objectively as possible. Any disputes will be resolved by a third reviewer. Summary analyses will identify potential methodological gaps and misconceptions that may have an important impact on the quality of analyses in medical research. This review will thus provide a basis for future guidance papers and tutorials in the field of regression modeling which will enable medical researchers 1) to interpret publications in a correct way, 2) to perform basic statistical analyses in a correct way and 3) to identify situations when the help of a statistical expert is required.
Effects of perceived overqualification on career distress and career planning: Mediating role of career identity and moderating role of leader humility
In this study, we examined how perceived overqualification influences employees' career distress and career planning. Specifically, we drew on role identity theory to hypothesize that perceived overqualification is positively related to individuals' career identity. Based on internal self-processing dynamics of role identity, we further hypothesized that career identity predicts reduced career distress and increased career planning. We expected career identity to mediate the effects of overqualification on career distress and career planning. Based on the symbolic interactionism perspective of identity, we hypothesized that this mediation is moderated by leader humility so that overqualified employees exhibit stronger career identities in the presence of a humble leader. We found support for our hypotheses in a multi-wave time-lagged study of 220 supervisor–subordinate dyads from 50 groups. Overall, our studies highlight that perceived overqualification can have positive effects on employees and organizations under appropriate management conditions. We discuss theoretical and practical implications of these results.