Managerial actions and stock transactions during financial distress: Some empirical evidence

Should the current managers remain in control of the firm during financial distress? We address this issue by examining whether managers who take value-maximizing actions also refrain from abnormal selling of their own shares in the firm. Our empirical results show that managers in the action firms do not engage in abnormal selling even during periods of frequent earnings losses. These managers exhibit higher net purchases than the nonaction managers. Thus, trading behavior of the managers and the actions taken during poor performance both appear to be consistent with stockholder interests.     

The relationship between laissez-faire leadership and burnout: Mediation through work alienation and the moderating role of political skill

We tested the relationship between laissez-faire leadership and job burnout and the mediating role of work alienation in this relationship. We also examined the moderating role of political skill in the relationship between laissez-faire leadership and burnout. Based on time-lagged (three waves, two months apart) survey data collected from 272 employees in 92 firms operating in China, our results showed that laissez-faire leadership was positively related to burnout both directly and via work alienation. Moreover, the positive relationship between laissez-faire leadership and burnout was contingent on political skill, such that the relationship was weak when political skill was high. The study provides useful suggestions to help managers curb employees' feelings of burnout and work alienation.     

Using CRM to Model Firm Performance in a Business-to-Business Market

Customer relationship management (CRM) is the widely accepted approach for gathering, examining, understanding and translating information related to customers into managerial action. CRM is investigated in the context of new product performance (NPP). CRM enhances NPP as well as firm performance. This study investigates the impact of CRM on NPP through the moderation of top management support and an innovative culture, as well as the impact of CRM on firm performance through the mediation of NPP. A questionnaire survey is used for data collection from marketing managers of 159 firms in Pakistan in the B-to-B market. Hypotheses were tested using SEM in SMART PLS. This research shows that CRM directly affects firm performance, while NPP partially mediates the relationship of CRM and firm performance. These findings have significant implications for the practitioner. This study delivers insights to managers and academicians about the role of CRM in enhancing NPP and improving firm performance. In general, the study provides new insights into CRM by integrating top management support and an innovative culture. The research extends our understanding that top management support and innovative culture do not moderate the relationship of CRM with new product performance in a B-to-B context.     

Human capital inequality and income inequality: testing for causality

This study investigates the causal relationship between human capital inequality and income inequality in case of Pakistan. The annual time series data ranging from 1973 to 2009 is used for econometric analysis. Johanson co-integration and Granger Causality tests are used to confirm the existence of long run relationship and the causal relationship between human capital inequality and income inequality. The results indicate that there is positive relationship between the two types of inequalities in the long run. The estimates of causality test indicate that income inequality causes the human capital inequality but human capital inequality does not cause income inequality. Policy initiatives to reduce income inequality may empower people economically to avail skill building opportunities and accumulate their human capital through access to educational services.     

Leaving studies because of lack of interest: an analysis of the risk factors of school dropouts in Pakistan

Quality & Quantity - Among all the students dropping out of school for different reasons in Pakistan in 2017, nearly 23% of the students dropped out because they were not...     

An empirical test of a correspondence model of expatriate managers' work adjustment

We develop and empirically test a model of expatriate managers' work adjustment. In this model we relate the fit between work-related abilities and needs of expatriate managers as well as the fit between the job requirements of, and incentives associated with, an international assignment to the level of expatriate managers' work adjustment. We test this model with data gathered by means of an electronic survey among 118 German expatriate managers. The empirical findings largely support our theoretical model. The paper enhances our understanding of expatriate managers' work adjustment and its antecedents and contributes to the theoretical and empirical basis of research into expatriate management.     

Proportional Odds Models with High‐Dimensional Data Structure

The proportional odds model is the most widely used model when the response has ordered categories. In the case of high‐dimensional predictor structure, the common maximum likelihood approach typically fails when all predictors are included. A boosting technique pomBoost is proposed to fit the model by implicitly selecting the influential predictors. The approach distinguishes between metric and categorical predictors. In the case of categorical predictors, where each predictor relates to a set of parameters, the objective is to select simultaneously all the associated parameters. In addition, the approach distinguishes between nominal and ordinal predictors. In the case of ordinal predictors, the proposed technique uses the ordering of the ordinal predictors by penalizing the difference between the parameters of adjacent categories. The technique has also a provision to consider some mandatory predictors (if any) that must be part of the final sparse model. The performance of the proposed boosting algorithm is evaluated in a simulation study and applications with respect to mean squared error and prediction error. Hit rates and false alarm rates are used to judge the performance of pomBoost for selection of the relevant predictors.     

Mimicking repurchases

We study the tendency of firms to mimic the repurchase announcements of their industry counterparts. We argue that a firm, by repurchasing its shares, sends a positive signal about itself and a negative one about its competitors. This induces the competing firms to mimic the behavior of the repurchasing firm by repurchasing themselves. Using a broad sample of US firms from the period 1984–2002, we show that, in concentrated industries, a repurchase announcement lowers the stock price of the other firms in the same industry. The other firms react by repurchasing themselves to undo these negative effects. Repurchases are chosen as a strategic reaction to other firms’ repurchase decisions and are not motivated by the desire to time the market, i.e., to take advantage of a significantly undervalued stock price. Therefore, repurchasing firms in more concentrated industries experience a lower increase in value in comparison with their counterparts in less concentrated industries in the post-announcement era. Alternative methodologies used to estimate long-term performance confirm that it is only the repurchasing firms in low concentration industries that outperform the market, their non-repurchasing peers, and their counterparts in more concentrated industries by amounts that are economically and statistically significant.     

Oil Price Shocks and Volatility in Australian Stock Returns

This paper examines the effect of oil shocks on return and volatility in the sectors of Australian stock market and finds significant effects for most sectors. For the overall market index, an increase in oil price return significantly reduces return, and an increase in oil price return volatility significantly reduces volatility. An advantage of looking at sector returns rather than a general index of stock returns is that sectors may well differ markedly in how they respond to oil price shocks. The energy and material sectors (as expected) and the financial sector (surprisingly) are out of step (in different ways) with results for the other sectors and for the overall index. A rise in oil price increases returns in the energy and material sectors and an increase in oil price return volatility increases stock return volatility in the financial sector. Explanation for the negative (positive) association between oil return (oil return volatility) and returns (volatility of returns) in the financial sector must be based on the association via lending to and/or holdings of corporate bonds issued by firms with significant exposure to oil price fluctuations and their speculative positions in oil‐related instruments.