Impact of political risk, financial risk and economic risk on trading volume of Islamic stocks exchange in Indonesia

2020 ◽  
pp. 410-414
Author(s):  
M.U.Al Mustofa ◽  
I. Mawardi ◽  
T. Widiastuti
Keyword(s):  
Trading Volume ◽  
Financial Risk ◽  
Political Risk ◽  
Economic Risk

scholarly journals Political Risk, Economic Risk, and Financial Risk

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

scholarly journals Political Risk, Economic Risk and Financial Risk

2000 ◽  
Author(s):  
Claude B. Erb ◽  
Campbell R. Harvey ◽  
Tadas E. Viskanta
Keyword(s):  
Financial Risk ◽  
Political Risk ◽  
Economic Risk

Country Risk Analysis of Bangladesh

2016 ◽  
Vol 5 (2) ◽  
Author(s):  
Zahidur Rahman ◽  
Jannatul Ferdous Bristy
Keyword(s):  
Risk Analysis ◽  
Financial Risk ◽  
Political Risk ◽  
Multinational Companies ◽  
Country Risk ◽  
Low Risk ◽  
Primary Data ◽  
Policy Makers ◽  
Financial Factors ◽  
Political Economic

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.

scholarly journals Economic Risk and Political Risk in Fiscal Unions

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

scholarly journals Comparison of Sharia Stock Prices and Trading Volumes Before and During COVID-19

2021 ◽  
Vol 1 (1) ◽  
pp. 13-24
Author(s):  
Yana Ameliana Yunus
Keyword(s):  
Stock Prices ◽  
Trading Volume ◽  
Financial Risk ◽  
Optimal Portfolio ◽  
Stock Trading ◽  
Significant Difference ◽  
Before And After ◽  
Insignificant Difference ◽  
Trading Volumes ◽  
Rights Issue

Before making an investment, entrepreneurs or investors must consider the benefits and financial risks obtained. So, investors need to take action in investing, meaning that investors need to form a portfolio by selecting several assets so that financial risk can be minimized without reducing the expected. The COVID-19 pandemic has significantly impacted the economy, especially investors, informing an optimal portfolio. This study aims to determine the optimal portfolio formation during the COVID-19 pandemic. In this study measurement, we used variables in the form of stock prices and stock trading volumes before and during COVID-19 pandemic. This study shows a comparison, but not so significant, between stock prices before and during the pandemic. Based on the survey conducted, the following results were found, i.e., first, shows an insignificant difference between prices before and after the rights issue announcement. The stock trading volume indicates a significant difference between the stock trading volume before and after the rights issue; trading volume increases after the information of the rights issue. By implementing companies affected by COVID-19 pandemic, we can watch the prices that occur around the announcement date. Investors can make a reason about their investments in shares of issuers affected by COVID-19 pandemic.

scholarly journals Assessing the Market, Financial and Economic Risk Sources by Czech and Slovak SMEs

2019 ◽  
Vol 7 (2) ◽  
pp. 30-40 ◽  
Author(s):  
Ján Dvorský ◽  
Zora Petráková ◽  
Jiří Polách
Keyword(s):  
Interest Rates ◽  
Financial Risk ◽  
Business Environment ◽  
Financial Risks ◽  
Z Score ◽  
Economic Risk ◽  
Market Economic ◽  
Risk Sources ◽  
Statistical Hypotheses ◽  
And Performance

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.

Analyses of wavelet coherence: financial risk and economic risk in China

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Dervis Kirikkaleli
Keyword(s):  
Financial Risk ◽  
Relevant Literature ◽  
Policy Decision ◽  
Wavelet Coherence ◽  
Economic Risk ◽  
Causality Test ◽  
Content Type ◽  
Financial Decisions ◽  
Long Run ◽  
The Relationship

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.

scholarly journals Application of ISO 31000-Based Risk Assessment to Improve Balanced Scorecard Performance at Shofa Pharmacy

2021 ◽  
Vol 8 (2) ◽  
pp. 251
Author(s):  
Riko Luke Nugroho ◽  
Perminas Pangeran
Keyword(s):  
Risk Assessment ◽  
Risk Management ◽  
Balanced Scorecard ◽  
Risk Group ◽  
Political Risk ◽  
Risk Level ◽  
Economic Risk ◽  
Project Risk ◽  
The Balanced Scorecard ◽  
Iso 31000

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.

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