A Comparative Analysis of Reputation in Enlisted Firms on the Iraq Stock Exchange
Abstract
:1. Introduction
2. Theoretical Principles and Literature Review
2.1. Corporate Reputation
2.2. The Impact of ISIS on Iraq’s Economy and Industry
- Military pressure on ISIS-controlled areas reduces economic activity and prevents the group from forming a government based on its stated goals. On the one hand, military pressure significantly reduces economic power in ISIS-controlled territories and, on the other hand, limits the group’s ability to profit through taxes and gain public legitimacy.
- Local economies in ISIS-controlled areas failed because either taxes were too high or social laws were too restrictive. Thus, the combination of poor local economies with ISIS’s tough military efforts to control the situation has weakened the group.
- ISIS showed successful oversight of local economies, but these signs were accompanied by incompetence and negligence. ISIS has prioritized electricity supply to key hospitals and factories in several cities, even in massive power shortages.
- Electricity shortages were a significant problem for economic activity in ISIS-controlled areas. Electricity shortages in ISIS-controlled areas have increased significantly compared to the pre-ISIS era, so its effects will continue in the post-liberation period.
- Financial markets will not return to normal conditions immediately after the liberation of cities. Due to the war and people’s flight from the cities.
- Administrative capacity in the liberated areas is likely to be maintained. Liberation forces will likely encounter local doctors, engineers, and staff who volunteered to work for ISIL or were recruited by ISIS to carry out various affairs.
2.3. Theoretical Issues and Hypothesis Development
3. Research Methodology
- The firm should have no change in its fiscal year from 2012 to 2018;
- The firm should have no halt in its activity on the Iraq Stock Exchange;
- The firm should present all related data to the variables of this paper completely during 2012–2018;
- The firm should not be affiliated with the production and service industries to unify reporting and increase comparability.
3.1. Data Analysis Method and Hypothesis Testing
Volatilityt,i + a5 OperCyclet,i + a6 Big Auditort,i + a7 Losst,i + a8 ΔSales Growtht,i + a9 ROAt,i
+ Σ Year + Σ Industry + εt,i
3.1.1. Dependent Variable: Corporate Reputation (Financial Resilience)
3.1.2. Independent Variable: The Presence of ISIS in Iraq (ISIS)
3.1.3. Control Variables
- Firm size: natural logarithm of the firm’s market value at the end of the current year.
- Sales volatility: standard deviation of sales to total assets within the past three years.
- Cash flow volatility: standard deviation of operational cash flow to total assets.
- Operation cycle: natural logarithm for the duration of time for purchasing raw materials to reach cash from a manufactured product’s sales.
- Loss: if the firm reports a loss in the current year, 1; otherwise, 0.
- Type of auditor (NationalAuditor): if a firm auditor is the Audit Organization of Iraq, 1; otherwise, 0.
- Sales growth changes (ΔSalesGrowth): sales growth of the current year minus that of the previous year.
- Rate of return on assets (ROA): operational earnings divided by the firm’s total assets.
4. The Research Findings
4.1. The Descriptive Statistics
4.2. Testing the Research Hypothesis
4.3. The Additional and Confirmatory Test in Line with Hypothesis Testing
5. Discussion and Conclusions
Funding
Data Availability Statement
Conflicts of Interest
1 | Available online: https://arab-exchanges.org/member/iraq-stock-exchange-isx/ (accessed on 20 April 2022). |
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Variable | Mean | Median | Standard Deviation | Minimum | Maximum |
---|---|---|---|---|---|
Financial_Resilience | 0.363 | 0.000 | 0.482 | 0.000 | 1.000 |
ISIS | 0.571 | 1.000 | 0.495 | 0.000 | 1.000 |
Firm Size | 9.684 | 9.708 | 0.578 | 8.358 | 11.421 |
Sales Volatility | 0.115 | 0.074 | 0.121 | 0.0001 | 0.741 |
Cash Flow Volatility | 0.351 | 0.081 | 1.641 | 0.0001 | 3.891 |
Operating Cycle | 116.58 | 107.34 | 69.597 | 20.097 | 297.78 |
ΔSales Growth | 0.336 | 0.021 | 1.940 | −0.979 | 21.618 |
ROA | 0.003 | 0.013 | 0.187 | −0.683 | 0.470 |
Loss | 0.408 | 0.000 | 0.492 | 0.000 | 1.000 |
National Auditor | 0.073 | 0.000 | 0.261 | 0.000 | 1.000 |
Identification Criteria | Simple OLS Model | OLS Model by Applying Time Factor | Adjusted Panel Model with Fixed Effects | Adjusted Panel Model with Variable Effects |
---|---|---|---|---|
AIC coefficient | 294.240 | 301.850 | 263.170 | 279.570 |
Variable | Coefficient | Test Statistic | Probability |
---|---|---|---|
β0 | 0.802 | 4.568 | 0.000 |
ISIS | −0.007 | −2.924 | 0.006 |
Firm Size | −0.046 | −2.490 | 0.013 |
Sales Volatility | −0.059 | −0.649 | 0.516 |
Cash Flow Volatility | −0.003 | −0.483 | 0.629 |
Operating Cycle | 0.0003 | 2.070 | 0.039 |
ΔSales Growth | 0.180 | 2.224 | 0.027 |
ROA | −0.716 | −16.838 | 0.000 |
Loss | 0.004 | 0.594 | 0.552 |
National Auditor | 0.143 | 2.696 | 0.007 |
Industry | Controlled | ||
McFadden’s coefficient of determination (McF.R2) | Chi-square of Hosmer-Lemeshow | ||
0.519 | 6.010 (p = 0.008) |
Type of Test | Z Statistic | Probability |
---|---|---|
Wilcoxon one-sided asymptotic test | 5.307 | 0.000 |
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Al-Maliki, H.S.N. A Comparative Analysis of Reputation in Enlisted Firms on the Iraq Stock Exchange. J. Risk Financial Manag. 2022, 15, 541. https://doi.org/10.3390/jrfm15110541
Al-Maliki HSN. A Comparative Analysis of Reputation in Enlisted Firms on the Iraq Stock Exchange. Journal of Risk and Financial Management. 2022; 15(11):541. https://doi.org/10.3390/jrfm15110541
Chicago/Turabian StyleAl-Maliki, Hind Shafeeq Nimr. 2022. "A Comparative Analysis of Reputation in Enlisted Firms on the Iraq Stock Exchange" Journal of Risk and Financial Management 15, no. 11: 541. https://doi.org/10.3390/jrfm15110541
APA StyleAl-Maliki, H. S. N. (2022). A Comparative Analysis of Reputation in Enlisted Firms on the Iraq Stock Exchange. Journal of Risk and Financial Management, 15(11), 541. https://doi.org/10.3390/jrfm15110541