What drives stock market integration? An analysis using agribusiness stocks

This article explores the drivers of regional stock market integration with a focus on the agribusiness sector across relevant regional trade blocs around the world. We implement panel cointegration models to analyze the stock indices of agribusiness firms in the Southern Common Market (MERCOSUR), European Union (EU), Asia‐Pacific Economic Cooperation (APEC), and North American Free Trade Agreement (NAFTA). Based on the literature on market integration and stock return pricing, we identify nine possible determinants of stock market integration, which we separate into three categories: individual market performance, macroeconomic conditions, and agricultural trade. In our analysis, we account for agriculture‐specific factors to control for possible structural shifts in financial markets regimes by including the two main commodity price bubbles during last 20 years. Our results show that most of the variables included in our categories have been important factors in promoting regional stock market integration. Moreover, integration among regional stock markets was strengthened by the implementation of trade agreements. This effect is stronger in trade blocs with fewer members, such as NAFTA and MERCOSUR, compared with larger and more heterogeneous blocs, such as the EU and APEC.     

What's next in key account management research? Building the bridge between the academic literature and the practitioners' priorities

This research contrasts the academic literature on key account management (KAM) with the topics in this subject that are most critical to practitioners. Sixty four academic articles published in 17 journals, and ninety practitioners' articles appearing in the Velocity Magazine — published by the Strategic Account Management Association — were content analyzed and classified under ten ‘topic’ categories. Similarities and differences in the results for academics and practitioners are discussed. In addition, two specific topics were identified as being extremely important to managers but still under-researched by academics: the role of senior management in KAM, and the importance of internal alignment in determining KAM success.     

When is escalation of commitment unstoppable in group settings? An iterative economic modeling approach to unveil the dark side of group decision-making

Escalation of commitment (EOC) has been usually studied from a psychological lens, and only recently have scholars approached EOC from an economic perspective. We contribute to this by focusing on iterative decision-making in group settings with a game theory approach. We study how the group members' strategic interaction may result in continuing failing courses of action. Drawing on the Byzantine generals' problem, our model considers an iterative decision-making process where committee participants vote based on private information to escalate or not. Our article demonstrates that if decision-makers reset their beliefs based on the committee's previous decision, then EOC becomes perpetual.     

Tacit collusion with imperfect monitoring in the Canadian manufacturing industry: an empirical study

This article undertakes a cross-sectoral analysis of a salient empirical implication of the model of tacit collusion advanced by Abreu, Pearce, and Stachetti (1986). Specifically, we assess the prevalence of a first-order Markovian process for alternating between price wars and collusive periods through nonparametric tests. The analysis focuses on 30 different industries in Canada. The evidence provides weak support for optimal collusion in one industry, which is consistent with the idea that such kind of collusive arrangements is unusual, or, if collusion is all too common, that price wars as deviations from collusion are rare.     

Perspectives on the Sources of Heterogeneity in Indian Industry

This paper examines technical efficiency variation across four industrial sectors in India using a stochastic production frontier technique. The results obtained are comparable to technical efficiency distribution patterns obtained in other countries. Heterogeneity in firm-level efficiency is examined against internal, firm-level and external, industry and location characteristics. The results suggest that managerial effectiveness significantly influences efficiency and that there are considerable benefits deriving from location within established industrial clusters for particular industries. The methodology and findings indicate that the study of industry-specific technical efficiency patterns is a useful analytic tool for tracking firm response to ongoing liberalization.     

Einzelbesprechungen

Ohne Zusammenfassung     

Socioeconomic Index for Income and Poverty Prediction: A Sufficient Dimension Reduction Approach

The present paper introduces a novel method for the construction of Socioeconomic Status (SES) indices that are specific to a target variable of interest. It is based on the Sufficient Dimension Reduction (SDR) paradigm and uses a factorized model-based approach to simultaneously deal with predictor variables of mixed nature (i.e. quantitative, binary, and ordinal), which are usual in microeconomic data. These SES indices also identify relevant predictor variables using a two-step regularized matrix factorization approach. Using data from household surveys for Argentina (Encuesta Permanente de Hogares-EPH), the proposed method is compared with other existing dimension reduction algorithms such as standard Principal Component Analysis (PCA) and its version for mixed variables, regression on the full set of variables and Least Absolute Shrinkage and Selection Operator regression (LASSO).     

Coberturas financieras con derivados y su incidencia en el valor de mercado en empresas colombianas que cotizan en Bolsa

The financial theory (Modigliani & Miller, 1958) rises that risk management was not an issue for companies because shareholders could make their own hedging management through portfolio diversification; however, further studies conflict with that statement and show that corporate financial hedging improves performance and increases the value thereof (Ahmed, Azevedo, & Guney, 2014; Allayannis & Weston, 2001; Allayannis & Ofek, 1998). Efficient management of market risks, which is based on the use of financial derivatives, demands strategic and efficient managers in hedging that adds value to the firm, especially in against shocks and imbalances from a macroeconomic and financial nature. Empirical evidence analyzes the performance of the Q-Tobin as an indicator of the effect of hedging strategies of exchange rate associated to the market value. This paper aims to find evidence in Colombia on the effect of using derivatives in the market value of the firm. Its added value lies in the analysis made by economic sectors, identified by CIIU codes and grouped into 5 sectors (Agricultural, Commercial, Industrial or Manufacturing, Services and Construction). The methodology includes several models estimating regression panel data, using a Pooled regression with estimators of fixed and random effects by maximum likelihood estimator. In general, it was found a premium due to hedging, statistically and financially significant, for companies exposed to exchange rate risks that use derivatives by an average of 6.3% on the market value. Moreover, mixed results were found regarding the analyzed variables in the model.