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In this study a relationship between the fluctuation of a nation's monetary reserves and political risk is established. A least square regression model is used for the 1972–87 period and monetary reserves fluctuations of nineteen countries are analyzed. It is concluded that monetary reserves data can be used as a cost efficient proxy for political risk in moderate risk non‐oil exporting countries. Less politically risky countries also exhibit a positive relationship but the results are not statistically significant. This study has special implications for small and medium‐sized corporations. Further, the limitations of this study are discussed.

Multinational firms account at present (1976) for almost 15% of the aggregate gross national products of the western world; their total foreign investments are in excess of 320 billion dollars and the aggregate market value of the foreign assets under their control is very likely about four to five times as large. The value of these assets is affected by various risks, i.e. the probability of a loss, that can be broadly classified as economic and political risks. This separation is certainly open to question since there can exist a close interdependency between the factors that constitute economic and political risks. A distinction is, nevertheless, appropriate since political risks stem from changes in (assumed) policy positions whereas economic risks are associated with changes concerning market, competitive, and technological factors that diminish the firm's effectiveness and profit potential. In addition, the factors responsible for political risks becoming an actuality are more easily identified than those forces which are responsible for the economic risks becoming an actuality.

This chapter seeks to conceptualize a new approach to the identification of the factors influencing the adoption of a political risk assessment (PRA) function. By making use of firm value maximization and risk aversion and considering the rationale for risk management activities, a number of determinants are identified which can be deployed in future PRA studies. A model for predicting the PRA adoption decision is proposed. Geographical contextualization in one or more emerging markets (EMs) provides a further dimension of originality as well as reflecting an increasingly important international business phenomenon. Political risk (PR) and political risk assessment (PRA) are of increasing importance in the context of the growth and development of emerging markets (EMs). The latter provide opportunities for inward investment from more developed economies. There has also been a rapid growth in outward foreign direct investment (OFDI) from emerging markets to other economies. This chapter adds to the current understanding of PRA by examining this issue in emerging markets (EMs) through the model developed here.

Political risk is a complex phenomenon. This complexity has incentivized scholars to take a piecemeal approach to understanding it. Nearly all scholarship has targeted a single type of political risk (expropriation) and, within this risk, a single type of firm (MNCs) and a single type of strategic mechanism through which that risk may be mitigated (entry mode). Yet “political risk” is actually a collection of multiple distinct risks that affect the full spectrum of foreign firms, and these firms vary widely in their capabilities for resisting and evading these risks. We offer a unified theoretical model that can simultaneously analyze: the three main types of political risk (war, expropriation, and transfer restrictions); the universe of private foreign investors (direct investors, portfolio equity investors, portfolio debt investors, and commercial banks); heterogeneity in government constraints; and the three most relevant strategic capabilities (information, exit, and resistance). We leverage the variance among foreign investors to identify effective firm strategies to manage political risk. By employing a simultaneous and unified model of political risk, we also find counterintuitive insights on the way governments trade off between risks and how investors use other investors as risk shields.

There is an extensive research stream devoted to evaluating host country political risk as it relates to foreign investment decisions, and in today’s geopolitical climate, this type of risk is becoming increasingly salient to business leaders. Despite notable advancements related to understanding the importance of government-related risk, inconsistent conceptualizations and findings remain. Thus, the purpose of this paper is to offer a comprehensive overview of how host country political risk has been conceptualized, measured and studied in relation to multinational enterprises' (MNEs’) investment decisions. After reviewing the relevant literature, five major aspects of non-violent (government type, public corruption, leadership change) and violent (armed conflict, terrorism) political risk were identified. The organization and review of each aspect of political risk provide insights on fruitful directions for future research, which are discussed.

To identify research articles on political risk and foreign investment, 13 leading management and international business journals were searched using relevant keywords (January 2000 to January 2023). Moreover, reviewing articles from these journals led to locating and reviewing additional relevant articles that the authors cited. Keyword searches were also conducted on Google Scholar and Web of Science in an effort to identify relevant articles outside of the 13 targeted journals.

Both violent and non-violent aspects of host country political risk have been studied in relation to MNEs' investment decisions. Specifically, five major aspects of host country political risk were identified (government type, public corruption, leadership change, armed conflict and terrorism). Although the general consensus is that risk related to the government often creates obstacles for MNEs, conceptualizations, measures and findings in prior research are not uniform.

This paper provides a comprehensive overview of host country political risk and foreign investment. In doing so, the aspects of political risk are identified, organized and overviewed.

The objective of this study is to investigate how country risk, different political actions from the government and bureaucratic behavior influence the activities in industry supply chains (SCs) in emerging markets. The main objective of this study is to investigate the influence of these external stakeholders’ elements to the demand-side and supply-side drivers and barriers for improving competitiveness of Ready-Made Garment (RMG) industry in the way of analyzing supply chain. Considering the phenomenon of recent change in the RMG business environment and the competitiveness issues this study uses the principles of stakeholder and resource dependence theory and aims to find out some factors which influence to make an efficient supply chain for improving competitiveness. The RMG industry of Bangladesh is the case application of this study. Following a positivist paradigm, this study adopts a two phase sequential mixed-method research design consisting of qualitative and quantitative approaches. A tentative research model is developed first based on extensive literature review. Qualitative field study is then carried out to fine tune the initial research model. Findings from the qualitative method are also used to develop measures and instruments for the next phase of quantitative method. A survey is carried out with sample of top and middle level executives of different garment companies of Dhaka city in Bangladesh and the collected quantitative data are analyzed by partial least square-based structural equation modeling. The findings support eight hypotheses. From the analysis the external stakeholders’ elements like bureaucratic behavior and country risk have significant influence to the barriers. From the internal stakeholders’ point of view the manufacturers’ and buyers’ drivers have significant influence on the competitiveness. Therefore, stakeholders need to take proper action to reduce the barriers and increase the drivers, as the drivers have positive influence to improve competitiveness.

This study has both theoretical and practical contributions. This study represents an important contribution to the theory by integrating two theoretical perceptions to identify factors of the RMG industry’s SC that affect the competitiveness of the RMG industry. This research study contributes to the understanding of both external and internal stakeholders of national and international perspectives in the RMG (textile and clothing) business. It combines the insights of stakeholder and resource dependence theories along with the concept of the SC in improving effectiveness. In a practical sense, this study certainly contributes to the Bangladeshi RMG industry. In accordance with the desire of the RMG manufacturers, the research has shown that some influential constructs of the RMG industry’s SC affect the competitiveness of the RMG industry. The outcome of the study is useful for various stakeholders of the Bangladeshi RMG industry sector ranging from the government to various private organizations. The applications of this study are extendable through further adaptation in other industries and various geographic contexts.

Uncertainties caused by political risks can drastically affect global supply chains. However, the supply chain management literature has thus far developed rather limited knowledge on firms' perception of and reactions to increased political risks. This study has two main purposes: to explore the relationship between extant risk exposure and perceived firm-specific political risk and to understand the impact of firm-specific political risk on firms' vertical integration and diversification strategies.

The authors developed a unique dataset for testing our hypotheses. Specifically, the authors sampled manufacturers (SIC20-39) listed in the United States from 2002 to 2019. The authors collected financial and diversification data from Compustat, vertical integration data from the Frésard-Hoberg-Phillips Vertical Relatedness Data Library and political risk data from the Economic Policy Uncertainty database. This data collection process yielded 1,287 firms (8,329 observations) with available data for analysis.

A two-way fixed-effect regression analysis of panel data revealed that firms tend to be more sensitive to political risk when faced with income stream uncertainty or strategic risk. By contrast, exposure to stock returns uncertainty does not significantly influence firms' sensitivity toward political risk. Moreover, firm-specific political risk is positively associated with vertical integration and product diversification. However, firm-specific political risk does not result in higher levels of geographical diversification.

This study joins the literature that systematically explores the antecedents and implications of firm-specific political risk, thus broadening the scope of supply chain risk management.

Political risk has been identified as a major impediment to the success of foreign invested projects, in developing countries. Infrastructure projects are especially sensitive to host-country political climates. Governance in emerging economies can be unstable, which adversely impacts infrastructure projects, given their high capital-intensity, long operational periods and high asset specificity. While the detrimental impact of political risk is well documented, the mitigation of such impacts on infrastructure projects remains largely unexamined. This study, therefore, addresses this by exploring the available identified political risk management (PRM) strategies based on resilience theory and evaluating their effectiveness.

A mixed-method approach was employed to identify PRM strategies. Firstly, a comprehensive literature review identified 40 potential PRM strategies. However, the applicability of those 40 strategies was uncertain due to the scarcity of PRM studies. Thus, expert interviews, drawing on the insights of Chinese infrastructure industry professionals with experience in FII, were applied to review the identified strategies. This process reduced the pool of applicable strategies to 34. Subsequently, 356 questionnaires were sent out to investors from China, Australia and Singapore, with 218 valid responses returned. Based on the data collected from the surveys, statistical analysis was used to evaluate and classify applicable PRM strategies.

Results reveal the most effective top five strategies for offsetting the detrimental effects of political risk on foreign infrastructure investment to be: (1) selection of suitable markets and projects; (2) maintaining good relationship with government; (3) purchasing political insurance; (4) utilizing capable contractors from both host country and home country; and (5) adopting an appropriate entry mode. The 34 strategies were further consolidated into four meta-strategies through factor analysis, resulting in the formulation of a strategy selection matrix.

The findings of this study offer a rational means by which infrastructure investment practitioners considering projects in developing countries, may arrive at an optimal political risk mitigation strategy. The findings also offer government of host countries directives to improving the political environment in order to attract foreign investment flows into local infrastructure projects.

This paper examines the relation between political sentiment and future stock price crash risk.

This study employs firm-level political sentiment from earnings conference calls. The empirical analysis applies panel regressions on 40,254 US firm-year observations between 2002 and 2020, controlling for various firm-specific determinants of crash risk and firm-, industry- as well as time-fixed effects.

The study identifies a negative association between both the level and the change of political sentiment and stock crash risk. Further analysis shows that the predictive power of political sentiment is independent of either non-political sentiment or political risk and remains consistently strong during periods of either high or low economic policy uncertainty. Moreover, the predictive effect of political sentiment is more pronounced for firms with high litigation risk.

The evidence highlights the important role of political sentiment in predicting stock crash risk. The results are consistent with the signaling hypothesis that managers tend to use their tone in conference calls to convey informative messages on firm outlooks.

The study provides a recommendation on risk management: soft information such as political and non-political sentiment in earnings conference calls is useful in managing stock crash risk. The study findings also call for careful consideration of social costs, such as stock crash risk, associated with political policies. Ill-conceived policies may lead to market crashes, which can potentially outweigh the upsides of well-meaning political reforms.

To the authors best knowledge, this is the first study to identify the effect of time-varying firm-level political sentiment conveyed in conference calls on stock price crash.