An empirical note about estimation and forecasting Latin American Forex returns volatility: the role of long memory and random level shifts components

Portuguese Economic Journal - A set of RLS-type models with ARMA and ARFIMA dynamics is estimated and compared in a forecasting exercise with ARFIMA, GARCH and FIGARCH models. It is an extension of...     

Coordination in a skeptical two-group population

Journal of Economic Interaction and Coordination - This paper explores a situation in which a population split into two groups attempts to achieve the socially efficient outcome of a coordination...     

Family firm’s management composition: the role played by family members’ age in TMT and supervisor levels

Quality & Quantity - Family firms (FFs) are the backbone of entrepreneurial fabric in many countries. Management of such businesses is complex because of their features: the overlap between...     

Social capital effects on the discovery and exploitation of entrepreneurial opportunities

Social capital refers to social networks and the norms of reciprocity, cooperation and trust associated with them. It can be studied at different levels of analysis. As previous literature suggests, social capital has aspects at both the individual and collective levels. However, theory development and empirical research have focused on separate, sometimes diverging levels. In an attempt to address this, this research examines the simultaneous influence of individual and regional social capital on the discovery and exploitation of entrepreneurial opportunities using individual-level data from the Global Entrepreneurship Monitor linked with regional-level data on social capital. The results show that individuals from regions with higher social capital are more likely to discover and to exploit entrepreneurial opportunities. Moreover, individuals having networks with other entrepreneurs are also more likely to identify a business opportunity and to become an entrepreneur. Also, we found that social capital at individual level had a greater effect than social capital at regional level in the two stages of the entrepreneurial process.     

Information Technology Tools in New Product Development: The Impact of Complementary Resources*,†

Emergent research has examined the antecedents to using information technology (IT) in the new product development (NPD) process and the impact of IT on NPD performance. Based on the resource‐based view (RBV) of the firm, this study hypothesizes that particular resources create IT capabilities that significantly enhance NPD outcomes. More specifically, this research extends previous work by investigating whether three complementary resources, namely an executive champion for IT, global engagement, and organizational innovativeness, influence IT capabilities (IT use frequency and IT replacement frequency), which in turn affect NPD outcomes (NPD task proficiency and NPD performance). To test the conceptual model, survey data were collected from 220 NPD and IT managers in a variety of large Japanese firms. The results show that an executive champion for IT and global engagement are predictors of both IT tool use and replacement frequency while organizational innovativeness contributes only to IT tool replacement frequency. The results also indicate that both IT tool use and replacement frequency have a positive effect on NPD task proficiency, which improves NPD performance. This research contributes to the literature by adding understanding of the role of IT in NPD at the firm level in four ways. First, it examines particular organizational complementary resources and their relationship to IT capabilities. Second, it examines the RBV and IT in the context of NPD, an important business process. Third, it measures IT usage in a more granular fashion (i.e., IT tool use frequency and IT replacement frequency) rather than simply IT usage as a dichotomy. Finally, through testing the proposed model with data collected from Japanese firms, this study provides empirical evidence from an Asian country to answer the call for more NPD research to be conducted in countries other than North American and Western European contexts. The findings of the study also provide implications for managers. Importantly, they indicate that an executive level champion for IT is a key influencer in facilitating IT usage and replacement, and likely can help generate awareness of and support for greater IT investments so the firm can create IT capabilities for effective NPD.     

Quantitative Methods for Evaluating the Unilateral Effects of Mergers

We describe the quantitative modeling techniques that are used in horizontal merger review for the evaluation of unilateral effects, and discuss how the 2010 Horizontal Merger Guidelines helped legitimize these methods and motivate scholarly research. We cover markets that feature differentiated products pricing, auctions and negotiations, and homogeneous products, in turn. We also develop connections between quantitative modeling and market concentration screens that are based on the Herfindahl-Hirschman Index (HHI).

     

Prediction regions for interval-valued time series

We approximate probabilistic forecasts for interval-valued time series by offering alternative approaches. After fitting a possibly non-Gaussian bivariate vector autoregression (VAR) model to the center/log-range system, we transform prediction regions (analytical and bootstrap) for this system into regions for center/range and upper/lower bounds systems. Monte Carlo simulations show that bootstrap methods are preferred according to several new metrics. For daily S&P 500 low/high returns, we build joint conditional prediction regions of the return level and volatility. We illustrate the usefulness of obtaining bootstrap forecasts regions for low/high returns by developing a trading strategy and showing its profitability when compared to using point forecasts.     

Merger policy in innovative industries

We analyze optimal merger policy in R&D-intensive industries with product innovation aiming to improve the quality of products. Our results suggest that a permissive merger policy is rarely optimal in high-tech industries when the antitrust authority considers a welfare standard that balances the impact of mergers on consumers’ surplus and firms’ profits. In particular, relative to a benchmark where the effects from R&D are absent, we show that the optimal merger policy should not be substantially more permissive in the presence of those effects from R&D.