India will struggle to revive growth quickly

Subject Outlook for India's economy following the 2020/21 budget. Significance Prime Minister Narendra Modi’s government estimates that GDP growth for fiscal year 2019/20 (April-March) will be 5.0%, the lowest full-year rate in eleven years. Finance Minister Nirmala Sitharaman earlier this month presented a budget for 2020/21 and said growth would pick up to 6.0-6.5% in that year. Impacts Further widening of the fiscal deficit could prompt credit rating agencies to downgrade India’s outlook. Some states may try to reclaim powers of taxation that they surrendered when the Modi government introduced the Goods and Services Tax. Modi will double down on efforts to promote the ‘Make in India’ initiative, which is designed to increase domestic manufacturing.

Subject The draft 2019 budget. Significance The government budget for 2019, announced by President Sebastian Pinera on September 29, is the most austere in almost a decade. It aims to restore Chile’s long-standing reputation for exemplary fiscal conduct, which in recent years has been undermined by increases in government spending that outstrip GDP growth, and the resulting increase in borrowing. Impacts Credit rating agencies have indicated that the draft budget is in line with their concerns about Chile’s rising borrowing requirement. The ongoing decline in fiscal revenues from copper underlines Chile’s need to diversify its economy. The government will be hard-pressed to meet its fiscal goals if, as current forecasts suggest, GDP growth weakens through to 2020.


2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Misheck Mutize ◽  
McBride Peter Nkhalamba

PurposeThis study is a comparative analysis of the magnitude of economic growth as a key determinant of long-term foreign currency sovereign credit ratings in 30 countries in Africa, Europe, Asia and Latin America from 2010 to 2018.Design/methodology/approachThe analysis applies the fixed effects (FE) and random effects (RE) panel least squares (PLS) models.FindingsThe authors find that the magnitude economic coefficients are marginally small for African countries compared to other developing countries in Asia, Europe and Latin America. Results of the probit and logit binary estimation models show positive coefficients for economic growth sub-factors for non-African countries (developing and developed) compared to negative coefficients for African countries.Practical implicationsThese findings mean that, an increase in economic growth in Africa does not significantly increase the likelihood that sovereign credit ratings will be upgraded. This implies that there is lack of uniformity in the application of the economic growth determinant despite the claims of a consistent framework by rating agencies. Thus, macroeconomic factors are relatively less important in determining country's risk profile in Africa than in other developing and developed countries.Originality/valueFirst, studies that investigate the accuracy of sovereign credit rating indicators and risk factors in Africa are rare. This study is a key literature at the time when the majority of African countries are exploring the window of sovereign bonds as an alternative funding model to the traditional concessionary borrowings from multilateral institutions. On the other hand, the persistent poor rating is driving the cost of sovereign bonds to unreasonably high levels, invariably threatening their hopes of diversifying funding options. Second, there is criticism that the rating assessments of the credit rating agencies are biased in favour of developed countries and there is a gap in literature on studies that explore the whether the credit rating agencies are biased against African countries. This paper thus explores the rationale behind the African Union Decision Assembly/AU/Dec.631 (XXVIII) adopted by the 28th Ordinary Session of the African Union held in Addis Ababa, Ethiopia in January 2017 (African Union, 2017), directing its specialized governance agency, the African Peer Review Mechanism (APRM), to provide support to its Member States in the field of international credit rating agencies. The Assembly of African Heads of State and Government highlight that African countries are facing the challenges of credit downgrades despite an average positive economic growth. Lastly, the paper makes contribution to the argument that the majority of African countries are unfairly rated by international credit rating agencies, raising a discussion of the possibility of establishing a Pan-African credit rating institution.


Subject RBI under new governorship. Significance Shaktikanta Das was last month appointed Reserve Bank of India (RBI) governor after Urjit Patel resigned. Prime Minister Narendra Modi’s government had for several months clashed with the RBI over how to foster economic growth. The general election is likely in April or May, when Modi’s Bharatiya Janata Party (BJP) faces a tough fight to win a second consecutive term. Impacts In election campaigning, Modi will emphasise India’s mostly robust quarterly GDP growth figures during his term. Indian banks’ level of bad debt could decrease by the end of the fiscal year ending March 2019. India will likely widen its fiscal deficit target for 2018/19 (3.3% of GDP) ahead of the 2019/20 budget.


2015 ◽  
Vol 18 (1) ◽  
pp. 66-80 ◽  
Author(s):  
Jing Bian

Purpose – The purpose of this paper is to examine the emerging Chinese credit rating agencies (CRAs), and their development, regulatory regime and challenges. The Chinese financial system has made many improvements; in particular, the regulatory regime has reached a more effective level. However, it should be admitted that some aspects still require further development. Compared with other developed markets, the Chinese credit rating industry is still young. Under these circumstances, questions are raised about the performance of the CRAs in China. Whether the legal framework is effective enough? A further point, in terms of the development, is what are the major obstacles lying ahead for the Chinese CRAs? Design/methodology/approach – This paper will concentrate on the study of Chinese CRAs. Starting with a brief introduction and analysis on the Chinese CRAs, it will further examine the rating methodologies of the Chinese CRAs. Following this, the regulatory regimes will be analyzed in detail, from the perspectives of the securities, banking and insurance market. Moreover, the paper will identify the key problems under the current regulatory regime. Last but not least, a conclusion and some future suggestions for the development of the regulatory regime will also be made based on the earlier observations and study. Findings – The current development stage and future reform requirement of the Chinese credit rating industry. Originality/value – Provide a full dimension and in depth analysis on the Chinese credit rating industry.


Subject Outlook for the Indian economy and the budget for the April 2016-March 2017 financial year. Significance Prime Minister Narendra Modi's government has decided to bring forward the annual budget presentation by a month, from the last working day of February to the first. The government claims the move is aimed at revealing well in advance the revenue-raising measures and expenditure allocations to be adopted in the 2017-18 fiscal year starting April 1. Impacts The 2016-17 divestment and privatisation revenue targets are unlikely to be met. Implementation of the Goods and Services Tax is likely to be delayed beyond the finance ministry's July 2017 target. This will further reduce tax collection potential in the next fiscal year.


Subject Outlook for the Zambian budget. Significance On October 9, finance minister Alexander Chikwanda presented the 2016 state budget. It predicts strong GDP growth (4.6%) and targets a narrower fiscal deficit (from 6.9% to 3.8% next year), both positive signals to reassure donors, investors and ratings agencies. However, with a general election looming in less than a year and a confluence of economic shocks, his optimistic outlook rings hollow. Impacts Lungu's slim (1.7%) victory in the January presidential by-election increases his vulnerability to populist expenditure pressures. However, the effects of the economic crunch (such as higher food prices) will be worst in urban areas -- not his core constituency. Social and infrastructure spending such as the roads programme will instead focus on rural areas. Opposition divisions, along with backing from former presidents and the Daily Nation newspaper, increase his chances for re-election.


Significance Increased economic optimism will be welcomed by Prime Minister Bill English, who is hoping that his National Party will win a fourth consecutive term in government this September. Finance Minister Steven Joyce presented a confident budget for the 2017-18 fiscal year in May that focused principally on low-to-middle-income taxpayers, laying out the government’s economic agenda. Impacts A tight labour market will push up wages and paint a positive picture of National rule for the electorate. High levels of household debt could undercut consumer confidence once monetary policy begins to tighten. No shifts in climate policy are anticipated until a June 2018 Productivity Commission report is released.


2016 ◽  
Vol 17 (4) ◽  
pp. 390-404 ◽  
Author(s):  
Philipp Gmehling ◽  
Pierfrancesco La Mura

Purpose This paper aims to provide a theoretical explanation of why credit rating agencies typically disclose credit risk of issuers in classes rather than publishing the qualitative ranking those classes are based upon. Thus, its goal is to develop a better understanding of what determines the number and size of rating classes. Design/methodology/approach Investors expect ratings to be sufficiently accurate in estimating credit risk. In a theoretical model framework, it is therefore assumed that credit rating agencies, which observe credit risk with limited accuracy, are careful in not misclassifying an issuer with a lower credit quality to a higher rating class. This situation is analyzed as a Bayesian inference setting for the credit rating agencies. Findings A disclosure in intervals, typically used by credit rating agencies results from their objective of keeping misclassification errors sufficiently low in conjunction with the limited accuracy with which they observe credit risk. The number and size of the rating intervals depend in the model on how much accuracy the credit rating agencies can supply. Originality/value The paper uses Bayesian hypothesis testing to illustrate the link between limited accuracy of a credit rating agency and its disclosure of issuers’ credit risk in intervals. The findings that accuracy and the objective of avoiding misclassification determine the rating scale in this theoretical setting can lead to a better understanding of what influences the interval disclosure of major rating agencies observed in practice.


2017 ◽  
Vol 7 (4) ◽  
pp. 1-22
Author(s):  
Shagun Thukral ◽  
Sunder Korivi ◽  
Dipasha Sharma ◽  
Dipali Krishnakumar

Subject area Fixed Income markets, Financial Markets and Institutions. Study level/applicability This case can be used in a postgraduate finance course such as an MBA and executive program for courses such as Fixed Income Markets and Financial Markets and Institutions. Case overview In late August 2015, the sudden downgrade and eventual default of Amtek AUTO Ltd (Amtek) on its debentures upset mutual fund investors and regulators. Questions were raised about the credit rating agencies and their lack of timely action as well as about the independent credit analysis followed by fund houses to protect the interests of investors. One such investor, Suresh Nair, decided to gather all possible available information on Amtek to determine whether it was sheer negligence on the part of all parties involved or if Amtek was in fact in a situation of sudden distress. The case seeks to highlight the credit analysis process, while looking out for red flags to identify potential default or financial stress in a company. Expected learning outcomes To understand the credit analysis process through a fundamental analysis process. To analyze and interpret the financial position of the company through various financial ratios. Identifying “red flags” while evaluating a potential credit that pose as “risks” to credit assessment. Understanding the role and relevance of credit rating agencies in the bond market. Supplementary materials Teaching Notes are available for educators only. Please contact your library to gain login details or email [email protected] to request teaching notes. Subject code CSS 1: Accounting and Finance


Significance Near-term growth in the economy is likely to fall short of the latest official forecasts of 2.5% in the July 2016-June 2017 fiscal year and 3.0% in 2017-18. Both the IMF and the OECD have recently recommended targeted infrastructure spending as part of an overall growth package. Impacts Any deterioration in the fiscal outlook will put Australia's current AAA credit rating at risk. Low growth in personal incomes and tax revenue will leave little scope to reduce the fiscal deficit. Sub-national jurisdictions may be able to pursue investments in renewable energy and climate policy innovation in Canberra's absence.


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