Hidden Debt

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66

H IDDEN DEBT

banks may reflect returns commensurate with their greater risk taking, as well as their greater capacity to manage credit risk (lower median NPL ratios). Finally, the solvency standing (regulatory capital ratio) and two broader measures of distress based on balance sheet solvency (z-score) and cash flows (ICR) suggest greater resilience of private banks to risk. Nevertheless, caution is warranted in interpreting aggregate median numbers for the region. The situation can vary considerably across countries and within countries across individual banks. For instance, risk taking is lower than the regional median for SOCBs in Pakistan and even more so for SOCBs in Sri Lanka, with median ratios of riskweighted assets to total assets of 51 percent and 47 percent, respectively, compared with the regional median of 59 percent for SOCBs and 70 percent for private banks. In contrast, SOCBs in Bangladesh are the least profitable of the SOCBs in the region, based on the median statistics for the return on equity—3.6 percent for Bangladesh compared with 9.3 percent for the regional average (median). Indian SOCBs appear to sit comfortably around the median for the region on all considered SOCB characteristics except the ICR. Indian SOCBs, with a median ICR of 0.57, fall well below the regional median of 0.66. In none of the four major South Asian countries does the median ICR for SOCBs stand above 1. At the 75th percentile, the better performing SOCBs have ICRs well above 1 in Bangladesh, Pakistan, and Sri Lanka. However, India’s better ­p erforming SOCBs still fail to cross the ­t hreshold—­p ossibly indicating systemic ­distress in the sector from 2009 to 2018. Recent literature argues that bank distress can arise because the firms and households that banks serve are in distress. For instance, uncertainty about economic policy can boost the default risk of both firms and households, which is then transmitted to banks (Ashraf and Shen 2019; Gopalakrishnan and Mohapatra 2019). The literature also highlights the possibility that governmentowned banks may engage in adverse

selection of borrowers (“reverse cherry-picking”). For example, firms that maintain exclusive relationships with governmentowned banks can enjoy privileged borrowing status with those banks: that is, the firms’ sensitivity of investment to cash flows (their financing constraints) is lower. But such firms can be in worse financial condition relative to other firms—for instance, be more leveraged, invest less, be less profitable, and have worse growth prospects (Srinivasan and Thampy 2017). Such adverse selection of borrowers can increase the default risk of government-owned banks because they lend to weaker firms on average. For this reason, we also controlled for characteristics of client firms by linking banks to firms. For each bank, we constructed a client firm portfolio and calculated average characteristics of this portfolio, such as average firm size (total assets); leverage (debt-toequity ratio); investment orientation (investments to assets); and profitability (return on assets). Because of data availability constraints, we controlled for client firm characteristics only for Indian banks. The main characteristics of the client firms of PVTBs and SOCBs are summarized in figure 2.7. Detailed summary statistics, along with statistical tests of difference in average characteristics, are reported in table 2C.6, in annex 2C. The statistics suggest that client firms of SOCBs could be much less profitable, more leveraged, and perhaps ­bigger—reflecting the findings of the recent literature. However, these median characteristics of banks’ client firms mask significant variations. Therefore, the statistical test of difference between client firm characteristics of SOCBs and private banks shows that only leverage differs. That is, client firms of SOCBs are significantly more leveraged.

Understanding Bank Distress and Its Main Factors Conceptually, our econometric framework builds on the value at risk (VaR) methodology. It examines two types of losses. The first is the financial loss that could be passed on


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Notes

3min
page 192

Annex 4B. The Kalman Filter

3min
page 189

4.1 Recommendations for Improving Fiscal Reporting and Transparency in Pakistan

6min
pages 186-187

following Contingent Liability Shocks

3min
page 179

Debt, India

2min
page 175

Estimating Contingent Liability Shocks, Adjustment Costs, and Mitigating Factors Using Data for India

6min
pages 171-172

Assembly Elections

2min
page 180

Outcomes in South Asia

5min
pages 184-185

The Promise and Risks of Fiscal Decentralization in South Asia

1min
page 159

Notes

2min
page 154

Annex 3C. Productivity Estimation

3min
page 153

Only a Combination of Internal and External Policy Reforms Can Help Better Manage Contingent Liabilities from SOEs in South Asia

9min
pages 143-145

3.8 Share of Persistently Distressed Firms in India, 1991–2017

2min
page 135

Describing the Opaque and Complex SOE Sector in South Asia Using Data

6min
pages 129-130

Pakistan, and Sri Lanka, 2005–17

12min
pages 138-141

The Importance of Paying More Attention to the Hidden Liabilities of SOEs in South Asia

11min
pages 125-128

Annex 2A. Methodology for Determining Bank Distress

6min
pages 107-108

2.1 Main Findings of the Overall Analysis

3min
page 102

Analyzing the Effect of Firms’ Banking with SOCBs Compared with Private Banks

3min
page 101

Private Banks Adjust in Times of Distress

8min
pages 98-100

Commercial Banks, 2009–18

2min
page 93

Understanding Bank Distress and Its Main Factors

3min
page 92

2.3 India: Branch Networks and Total Credit, 2018

5min
pages 87-88

The Upsides and Downsides of State-Owned Commercial Banks

4min
pages 83-84

Annex 1D. Imputing the Missing Values for Predictions

2min
page 75

Improving Government Capacity, Due Diligence, and Contract Design to Better Manage the Fiscal Risks of the Growing PPP Programs in South Asia

2min
page 70

in India, 2001–17

2min
page 57

South Asia, by Country, 1990–2018

2min
page 63

1.5 Distribution of the Percentage of Contract Period Elapsed, 1990–2018

5min
pages 58-59

Features of Contract Design That Matter: Exploring the Link between PPP Contract Design and Early Terminations of Highway PPPs in India

3min
page 68

Government from Contingent Liabilities of Public-Private Partnerships

3min
page 64

Portfolio in South Asia, as a Percentage of GDP, 2020–24

2min
page 65

ES.1 Applying the Purpose, Incentives, Transparency, and Accountability (PITA) Recommendations in Fragile and Conflict-Affected Contexts ...................xvi 1.1 The Hidden Debt of National Highways in India

3min
page 53

O.2 Analytical Framework: Links from Distress to Adjustments to Impacts

9min
pages 32-34

The Need to Carefully Manage the Fiscal and Economic Risks of PPPs

5min
pages 49-50

Balancing the Efficiency Gains from PPPs against Their Risks and Liabilities Booming Infrastructure PPPs, Their Country and Sector Distribution, and Signs

6min
pages 51-52

Policy Recommendations

8min
pages 43-45

O.1 Implementing the High-Level Policy Recommendations for Public-Private Partnerships, State-Owned Commercial Banks, State-Owned Enterprises, and Subnational Governments

4min
page 46

O.9 Checks and Balances on Government Executives Help Prevent Distress of Public-Private Partnerships

2min
page 42

Notes

3min
page 47

Analytical Framework

2min
page 31
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