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The global slack hypothesis is central to the discussion of the trade-offs that monetary policy faces in an increasingly more integrated world. The workhorse New Open Economy Macro (NOEM) model of Martínez-García and Wynne (2010), which fleshes out this hypothesis, shows how expected future local inflation and global slack affect current local inflation. In this chapter, I propose the use of the orthogonalization method of Aoki (1981) and Fukuda (1993) on the workhorse NOEM model to further decompose local inflation into a global component and an inflation differential component. I find that the log-linearized rational expectations model of Martínez-García and Wynne (2010) can be solved with two separate subsystems to describe each of these two components of inflation.

I estimate the full NOEM model with Bayesian techniques using data for the United States and an aggregate of its 38 largest trading partners from 1980Q1 until 2011Q4. The Bayesian estimation recognizes the parameter uncertainty surrounding the model and calls on the data (inflation and output) to discipline the parameterization. My findings show that the strength of the international spillovers through trade – even in the absence of common shocks – is reflected in the response of global inflation and is incorporated into local inflation dynamics. Furthermore, I find that key features of the economy can have different impacts on global and local inflation – in particular, I show that the parameters that determine the import share and the price-elasticity of trade matter in explaining the inflation differential component but not the global component of inflation.

Asynchronous current account trends between North and South of the Euro Area were accompanied by significant appreciations of real exchange rate originating in the strong shifts in consumer prices and unit labor costs in the periphery economies relative to the core countries of the Euro Area. The issue is whether the real exchange rate is a significant driver of persisting current account imbalances in the Euro Area considering that, according to some authors, differences in domestic demand are more important than is often realized. In the paper we examine relative importance of real exchange rate and demand shocks according to the current account adjustments in the Euro Area member countries. Our results indicate that while the prices and costs related determinants of external competitiveness affected current account adjustments primarily during the pre-crisis period, demand drivers shaped current account balances mainly during the crisis period.

This study aims to analyze the dynamics of the institutional change and institutional stability undergone by strategic networks (SNs) in the pharmaceutical industry.

The authors performed a case study with four Brazilian SNs which followed different patterns of institutional change and institutional stability. Twenty network managers and network members from the pharmaceutical industry were interviewed, and documents were analyzed.

The results show how and why institutions changed or remained the same. More specifically, exogenous shocks can negatively impact the competitive environment influencing institutional change in SNs. Moreover, endogenous shocks may prevent institutional change and stimulate institutional stability. Continuous interaction between institutions and SNs is the key to institutional change, especially if public and private policies are considered a source of political institutions.

Research has highlighted the endogenous influence of SNs on firms in selecting their partners and arranging their positions in the SNs, but little attention has been paid to how SNs themselves respond to institutions or promote institutional change. This study explains how and why change fails at the network level, additionally pinpointing the main sources of the institutional change and inertia in SNs. As such, network members may use different strategies to stimulate institutional change or stability according to their interests.

This article provides an overview of the panel vector autoregressive models (VAR) used in macroeconomics and finance to study the dynamic relationships between heterogeneous assets, households, firms, sectors, and countries. We discuss what their distinctive features are, what they are used for, and how they can be derived from economic theory. We also describe how they are estimated and how shock identification is performed. We compare panel VAR models to other approaches used in the literature to estimate dynamic models involving heterogeneous units. Finally, we show how structural time variation can be dealt with.

Smallholder value chains are dynamic, changing over time in sudden, unpredictable ways as they adapt to shocks. Understanding these dynamics and adaptation is essential for these chains to remain competitive in turbulent markets. Many guides to value chain development, though they focus welcome attention on snapshots of current structure and performance, pay limited attention to the dynamic forces affecting these chains or to adaptation. The paper aims to discuss these issues.

This paper develops an expanded conceptual framework to understand value chain performance based on the theory of complex adaptive systems. The framework combines seven common properties of complex systems: time, uncertainty, sensitivity to initial conditions, endogenous shocks, sudden change, interacting agents and adaptation.

The authors outline how the framework can be used to ask new research questions and analyze case studies in order to improve our understanding of the development of smallholder value chains and their capacity for adaptation.

The framework highlights the need for greater attention to value chain dynamics.

The framework offers a new perspective on the dynamics of smallholder value chains.

Empirical research on European stock markets has shown that they behave differently according to the performance of the leading financial market identified as the US market. A positive sign is viewed as good news in the international financial markets, a negative sign means, conversely, bad news. As a result, we assume that European stock market returns are affected by endogenous and exogenous shocks. The former raise in the market itself, the latter come from the US market, because of its most influential role in the world. Under standard assumptions, the distribution of the European market index returns conditionally on the sign of the one-day lagged US return is skew-normal. The resulting model is denoted Skew-GARCH. We study the properties of this new model and illustrate its application to time-series data from three European financial markets.

The paper discusses recent changes in conventional wisdom about the optimality of fixed and flexible exchange rates. It develops the important difference between traditional and hard currency fixing. The main part of the paper analyzes the traditional benefits and costs of fixed currencies, how they are changed by first modifications of and second fundamental challenges to the Keynesian paradigm. The last part reviews empirical finding that fixed currencies hard currency fixing leads to a higher economic growth.

The debate over differences in the behaviors of firms facing globalization is ongoing. This study examines whether globalization impacts the behavior of family firms and if this influence differs between family and non-family firms.

Drawing on panel data from the Amadeus database on 62 family firms and 98 non-family firms in Europe, the authors employ panel vector autoregression estimation and the Wald test of Granger causality to verify our conjecture. Additional impulse response functions and the forecast error variance decomposition technique were applied to illustrate complementary shock dynamics. Additionally, the KOF globalization index is used as a proxy for globalization.

The results show that globalization visibly impacts family and non-family firms, but the polarity and extent of the effect are different. The authors demonstrate that family firms are in a more favorable position regarding globalization and are less vulnerable to the adverse effects of the globalization process. In contrast, non-family firms fare worse, generating adverse effects. Non-family firms take a more open stance toward globalization than family firms' more conservative behaviors.

Of course, there are some limitations to the work presented in this paper. On the one hand, the authors’ data span only ten years due to data limitations. This causes the generalizability of the results to be hindered. Therefore, the authors encourage scholars to collect more time series data to increase confidence in the empirical results in future studies. On the other hand, the selection of proxy indicators concerning family firm behavior is mainly focused on financial and employment facets. A multidimensional selection of indicators could make the findings of this study more convincing. Despite its limitations, the study certainly adds to the authors’ understanding of its behavior and globalization activities.

The authors’ findings have twofold theoretical and practical implications, as they highlight the necessity of developing specific policies aimed at reducing the gap between family and non-family facing globalization and promoting sustainable operations of non-family firms. Although family firms tend to be more frugal and conservative in their overall decision-making, it should be acknowledged that stockholder and stakeholder interest-oriented corporate management policies have made them more capable of steadily improving corporate performance in the sweep of globalization.

To this end, this study deepens the authors’ understanding of the theory of global governance of family firms. It also provides possible paths and directions for future theoretical research on family firms. Globalization affects both family and non-family firms, but our results suggest that family firms are better able to withstand the adverse effects of globalization shocks and adopt efficient governance paths and strategic thinking to gain a competitive advantage. In this regard, the authors encourage non-family firms to actively learn from family firms' operational practices and systems to achieve better adaptability.

This study provides strong empirical evidence on the effectiveness of family firms' governance patterns and business behavior under globalization. Additionally, this study also reveals that managers can learn from the practical experience of family firms to help them confront business crises and gain a sustainable competitive advantage.

The purpose of this paper is to examine the effect of shocks in the various components of private capital inflows on economic growth in Nigeria using quarterly data in the period 1986Q1–2016Q4.

The study employs the impulse response function and the forecast error variance decomposition of the structural vector autoregression (SVAR) model.

The research result shows that shocks in foreign direct investment (FDI) inflows and portfolio investment inflows have a positive and significant impact on economic growth in Nigeria. In addition, FDIs accounted for significant variation in the growth of the Nigerian economy followed by portfolio investments, while personal remittances exerted the least variation in growth.

The government should promote a favorable macroeconomic environment for existing and potential foreign investors to ensure the continued inflows of FDI and portfolio investment.

The novelty of this study lies in disaggregating private capital inflows and analyzing the effect of the shock of each component on the growth of the Nigerian economy using SVAR.

This research investigates the effect of mergers and acquisition (M&A) transactions in the pharmaceutical sector. The study assesses the short-term value creation or destruction for shareholders of pharmaceutical companies involved in M&A activities on the acquiring side.

The empirical analysis is carried out by applying the event study methodology in order to define the cumulative abnormal return for each transaction observed. Then, the correlations between abnormal returns and economic metrics are determined building a multiple regression model. These metrics refers to the acquirer, target or to the deal itself.

Evidence show a short-term value creation for shareholders of pharmaceutical companies involved in M&A transactions on the acquiring side. On the one hand, the analysis suggests a negative correlation between the value creation and the acquiring firm's level of indebtedness. On the other hand, the value creation is positively correlated with target's metrics such as Return on Equity (ROE), Return on Assets (ROA) and Research and Development (R&D) intensity. Value creation is also tied to deal-specific characteristics regarding the cash used in the transaction and the comparative extent of the deal.

This analysis allows to predict returns around an announcement day considering the described indicators of value creation or destruction. M&As play a key role in the strategy implementation as reaction to exogenous shocks and endogenous needs.

This study enriches the literature of corporate finance applied to the pharmaceutical sector. Indeed, this industry is gaining increasing relevance in the M&A panorama. Thus, the related dynamics need to be assessed considering the uniqueness of the pharmaceutical sector in terms of regulation, stakeholders and social impact.