scholarly journals Political Risk, Economic Risk and Financial Risk

Author(s):  
Claude B. Erb ◽  
Campbell R. Harvey ◽  
Tadas E. Viskanta
1996 ◽  
Vol 52 (6) ◽  
pp. 29-46 ◽  
Author(s):  
Claude B. Erb ◽  
Campbell R. Harvey ◽  
Tadas E. Viskanta

Author(s):  
Zahidur Rahman ◽  
Jannatul Ferdous Bristy

In the endeavor of conquering the worlds consumers, multinational companies face enormous risks. Such risks may arise from different political, economic, and financial factors. These factors are commonly referred to country risk as a whole. Focusing Bangladesh in this regard, objective of this study is to find out the level of country risk in terms of political, economic, and financial riskiness. Analysis of country risk has been done using an internationally recognized methodology named International Country Risk Guide (ICRG). For political risk analysis, primary data has been collected from 20 journalists, bureaucrats and policy makers, business persons, corporate professionals, and academicians with a structured closed-ended questionnaire. Results indicate that Bangladesh is in high risk position in terms of political risk, low risk position in terms of economic risk and very low risk position in terms of financial risk. Compositely, Bangladesh has been found to be a moderately risky country for investment.


1998 ◽  
Vol 108 (449) ◽  
pp. 989-1008 ◽  
Author(s):  
Alberto Alesina ◽  
Roberto Perotti
Keyword(s):  

2019 ◽  
Vol 7 (2) ◽  
pp. 30-40 ◽  
Author(s):  
Ján Dvorský ◽  
Zora Petráková ◽  
Jiří Polách

Abstract The market, economic and financial risks are the most important risks, which determine the quality and performance of small and medium sizes enterprises. The main objective of the article is to evaluate the most important sources of market, economic and financial risk between Slovak and Czech SMEs according gender and size of enterprise. The questionnaires of 895 entrepreneurs were collected and prepare on evaluating in the year 2018. The statistical hypotheses were accepted through the mathematical method as is Z-score. The gender of entrepreneur and size of enterprises between Slovak and Czech entrepreneurs is a significant factor of evaluating the sources of economic risk, as is development of the tax and insurance burden; weak availability of the financial resources (loans, foundations); development of the interest rates; growing prices of all types of energy. According to the evaluation of entrepreneurs, the intensity of sources of economic risk in Slovak business environment is higher than in Czech business environment.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dervis Kirikkaleli

Purpose This study aims to close a gap in the relevant literature by investigating the causal linkage between financial risk (FR) and economic risk (ER) in China for the period 1985Q1–2018Q4. Design/methodology/approach Based on the aim of the present study, Toda Yamamoto causality and wavelet coherence tests are used to capture the relationship between FR and ER in China. Findings The findings from wavelet coherence reveal that there is feedback causality between FR and ER in China at different frequencies and different periods between 1985 and 2018. The consistency of the findings from wavelet coherence is confirmed by the outcomes of Toda Yamamoto causality test. Research limitations/implications Although this study provides strong and consistent empirical findings for China, further studies should consider advancing the argument by focusing on different emerging markets. Practical implications Results are crucial for policy decision-making and can be used by researchers and macro-economic policymakers to take an action, if necessary, by implementing more appropriate or alternative economic and financial decisions. Originality/value To the best of the author’s knowledge, this relationship in China has not been comprehensively explored by using newly developed econometrics techniques. Therefore, this study is likely to open a debate about the literature as the study concludes with a discussion on short- and long-run implications for policymakers in China.


Author(s):  
Riko Luke Nugroho ◽  
Perminas Pangeran

This study aims to integrate the Balanced Scorecard and Risk Management at Shofa Pharmacy and its one branch. The risk assessment is based on the ISO 31000 framework model and the Balanced Scorecard is based on a financial perspective, a customer perspective, an internal business perspective and a learning and growth perspective. The results of risk identification show that the risks faced by Shofa Pharmacy are financial risk, operational risk, technology risk, business ethics risk, health and safety risk, economic risk, legal risk, political risk, market risk, and project risk. Based on the results of the analysis, the highest risk is technology risk with the risk group in information technology protection, economic risk with the fall in demand risk group, political risk with the inflation risk group and project risk with an evaluation risk group, then risk management is carried out to reduce the risk level.


2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Dervis Kirikkaleli

Abstract This study aims to shed some light on the one of the most popular phenomena in the economics and finance literature—nexus between economic growth and financial development—for the case of Greece over 1990Q1 to 2018Q4 within the framework of risk. In other words, this study investigates the causal link between financial risk and economic risk in Greece using wavelet coherence tests while answering the following questions: (i) does financial risk lead to economic risk in Greece and/or does economic risk lead to financial risk in Greece, and (ii) if so, why? The wavelet coherence approach allows the study to capture the long-run and short-run causal linkages among the time series variables since the approach combines time and frequency domain causalities. The findings from wavelet coherence supports the Schumpeter hypothesis since the findings proves that there is unidirectional causality from financial risk to economic risk in Greece (i) between 1995 and 1998; (ii) between 2003 and 2013; (iii) between 2013 and 2017 at different frequency levels. The findings clearly reveal how financial risk is important predictor for economic risk in Greece over the period of 1990–2018.


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