Some Evidence on the Uniqueness of Initial Public Debt Offerings

Debt initial public offerings (IPOs) represent a major shift in a firm's financing policy by both extending debt maturity and altering the public-private debt mix. In contrast to findings for seasoned debt offerings, we document a significantly negative stock price response to debt IPO announcements. This result is consistent with debt maturity and debt ownership structure theories. The equity wealth effect is negatively related to the offer's maturity, and positively related to the degree of bank monitoring. We find that firms with less information asymmetry and firms with higher growth opportunities experience a less adverse stock price response.     

Impact of perceived value on the online purchase intention of base of the pyramid consumers

Despite the voluminous purchasing power of the consumers at the base of the pyramid (BOP), substantial research has not been carried out on their online buying behaviour. This study investigates the factors that trigger the online shopping intention of BOP consumers. We conducted semi-structured in-depth interviews with 52 BOP respondents from India. Our thematic analysis indicates four perceived benefits and five sacrifices influencing BOP consumers' perceived value for online purchases, subsequently determining their adoption behaviour. As a novel contribution to the literature, this study unfolds several unknown factors that motivate/demotivate BOP consumers to buy online using the Value-based Adoption Model (VAM). The findings of this study will help e-commerce marketers enhance BOP consumers' usage intention toward online purchases.     

Horseshoe Regularisation for Machine Learning in Complex and Deep Models1

Since the advent of the horseshoe priors for regularisation, global–local shrinkage methods have proved to be a fertile ground for the development of Bayesian methodology in machine learning, specifically for high-dimensional regression and classification problems. They have achieved remarkable success in computation and enjoy strong theoretical support. Most of the existing literature has focused on the linear Gaussian case; for which systematic surveys are available. The purpose of the current article is to demonstrate that the horseshoe regularisation is useful far more broadly, by reviewing both methodological and computational developments in complex models that are more relevant to machine learning applications. Specifically, we focus on methodological challenges in horseshoe regularisation in non-linear and non-Gaussian models, multivariate models and deep neural networks. We also outline the recent computational developments in horseshoe shrinkage for complex models along with a list of available software implementations that allows one to venture out beyond the comfort zone of the canonical linear regression problems.     

On Ethical Violations in Microfinance Backed Small Businesses: Family and Household Welfare

Journal of Business Ethics - The microfinance business model focuses largely on lending to the woman in the household, rather than the man. The belief is that women are more trustworthy borrowers...     

Non‐parametric regression in clustered multistate current status data with informative cluster size

Datasets examining periodontal disease records current (disease) status information of tooth‐sites, whose stochastic behavior can be attributed to a multistate system with state occupation determined at a single inspection time. In addition, the tooth‐sites remain clustered within a subject, and the number of available tooth‐sites may be representative of the true periodontal disease status of that subject, leading to an ‘informative cluster size’ scenario. To provide insulation against incorrect model assumptions, we propose a non‐parametric regression framework to estimate state occupation probabilities at a given time and state exit/entry distributions, utilizing weighted monotonic regression and smoothing techniques. We demonstrate the superior performance of our proposed weighted estimators over the unweighted counterparts via a simulation study and illustrate the methodology using a dataset on periodontal disease.     

A risk-based decision support framework for selection of appropriate safety measure system for underground coal mines

In the context of underground coal mining industry, the increased economic issues regarding implementation of additional safety measure systems, along with growing public awareness to ensure high level of workers safety, have put great pressure on the managers towards finding the best solution to ensure safe as well as economically viable alternative selection. Risk-based decision support system plays an important role in finding such solutions amongst candidate alternatives with respect to multiple decision criteria. Therefore, in this paper, a unified risk-based decision-making methodology has been proposed for selecting an appropriate safety measure system in relation to an underground coal mining industry with respect to multiple risk criteria such as financial risk, operating risk, and maintenance risk. The proposed methodology uses interval-valued fuzzy set theory for modelling vagueness and subjectivity in the estimates of fuzzy risk ratings for making appropriate decision. The methodology is based on the aggregative fuzzy risk analysis and multi-criteria decision making. The selection decisions are made within the context of understanding the total integrated risk that is likely to incur while adapting the particular safety system alternative. Effectiveness of the proposed methodology has been validated through a real-time case study. The result in the context of final priority ranking is seemed fairly consistent.     

Optimal accumulation in a small open economy with technological uncertainty

Summary. This paper analyzes the optimal allocation problem of a small trading country facing an uncertain technology. It is involved in production of many commodities. Differentiability cannot be guaranteed, hence, the Ramsey-Euler condition of optimality needs to be modified. From the optimality criterion, we derive a pair of conditions, which does not require differentiability. If “enough” uncertainty is allowed, the sequence of the distribution functions of investment expenditure converges uniformly to a unique invariant measure. In addition to the weak convergence of the stochastic process of investment expenditure we also have the sequences of the stochastic process of investment expenditure converging weakly. Received: September 8, 1994; revised version: September 25, 1997     

Industry structure and CEO characteristics: an empirical study of succession events

Based on 134 CEO succession events in nondiversified, manufacturing firms, this study examines the relationships between industry structure and the characteristics of CEO successors. The paper also explores the performance implications of the fit between industry structure and CEO successors. Results indicate that industry structure plays an important, but not pervasive, role in explaining variations in newly selected CEOs. Specifically, the higher the level of industry product differentiation, the lower the organizational tenure, the higher the educational level and the greater the likelihood of a nonthroughput background in the CEO successor; the higher the industry growth rate, the lower the organizational tenure and age of the CEO successor. However, findings provide very limited support for the normative view that firms which match CEO successor characteristics to industry structure realize better postsuccession performance than those with lower levels of fit. © 1998 John Wiley & Sons, Ltd.     

Corporate strategy,executive selection,and firm performance

This article investigates three related questions: (1) Is corporate diversification strategy associated with the level of firm-specific experience (tenure) of selected CEOs? (2) Are tenure levels of selected CEOs related to subsequent organizational performance? and (3) Does diversification strategy influence the impact that CEO firm-specific experience has on subsequent organizational performance? Results indicate that while diversification levels do not relate to extent of tenure, the selection of CEOs with lower levels of firm-specific experience results in significantly improved performance among nondiversified firms. No such relationship is observed in more diversified firms.¹ © 1998 John Wiley & Sons, Inc.     

California’s Three Strikes Law Revisited: Assessing the Long-Term Effects of the Law

Previous studies on the three strikes legislation in California draw conclusions based on data immediately following the passage of the law, which cannot account for the full deterrent effect of the law. Moreover, they do not account for the incapacitation effect. Distinguishing between deterrence and incapacitation is important for determining the efficacy of the law. Using data from 1991 to 2009, this paper is the first to examine the long-run effects. Our results show that the law had a significant deterrent effect on all crimes, including non-triggering offenses. Overall, the incapacitation effect is less significant. Further, enhanced penalties cause some felons to substitute between violent crimes and property crimes which carry a lower sentence. However, there is little evidence of substitution within crime categories. Surprisingly however, the added deterrent effect of the third strike is significantly smaller than for the second strike. The small marginal deterrence from the third strike also raises questions about the justification for such extreme severity of punishment.