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Author: Aruppillai Thayaparan
Publisher: GRIN Verlag
ISBN: 3346085368
Category : Business & Economics
Languages : en
Pages : 52
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Book Description
Document from the year 2019 in the subject Business economics - Investment and Finance, , course: ECONOMICS, language: English, abstract: The main objective of the study is to identify the borrower characteristics that discriminate them into defaulters and non- defaulters and examine the determinants of loan repayment and their credit worthiness in Microfinance institutions in Vavuniya district in Sri Lanka. In line with above general objective, this study has the following specific objectives: To identify the borrower characters those classify them into defaulters and non-defaulters in the study area. To evaluate the impact of major demographic characters such as age, gender, levels of education, civil status and family members of the borrowers that impact on their repayment performance and credit worthiness. To investigate how the farming characters like income, farm size, ownership of land, farming experience and availability of non-farm income as well as farmers' attributes such as purposes of loan, crop failure, weather conditions and knowledge about loans affect loan repayment and discriminate the borrowers into two groups in the study area. Financial institutions and banks have major role in financial sector as well as rural sector of an economy in terms of providing loans to the rural community in developing countries like Sri Lanka. The borrowers especially, farmers are able to get the loans from the microfinance institutions to improve their living standard through agricultural activities and generate their income. Even the borrowers have chances to receive the loans, the microfinance institutions and banks are facing the problems to recover the loans from the borrowers. Thus, default rate among the borrowers has been increasing over time which is the difficult task to manage the banks and financial institutions. There are a number of many factors particularly demographic and farming characters that affect the loan repayment rates. There has not been any empirical research conducted regarding to repayment performance among the borrowers who get the loans from SANASA Thrift, Credit and Cooperative Society (TCCS) banks in Vavuniya district. Therefore, this study tries to provide the relevant information for a better understanding on the determinants of loan repayment performance of the borrowers and the information will be useful for policy makers, other lending institutions and stakeholders for their future decision making on granting the loans for their clients.
Author: Aruppillai Thayaparan
Publisher: GRIN Verlag
ISBN: 3346085368
Category : Business & Economics
Languages : en
Pages : 52
Get Book Here
Book Description
Document from the year 2019 in the subject Business economics - Investment and Finance, , course: ECONOMICS, language: English, abstract: The main objective of the study is to identify the borrower characteristics that discriminate them into defaulters and non- defaulters and examine the determinants of loan repayment and their credit worthiness in Microfinance institutions in Vavuniya district in Sri Lanka. In line with above general objective, this study has the following specific objectives: To identify the borrower characters those classify them into defaulters and non-defaulters in the study area. To evaluate the impact of major demographic characters such as age, gender, levels of education, civil status and family members of the borrowers that impact on their repayment performance and credit worthiness. To investigate how the farming characters like income, farm size, ownership of land, farming experience and availability of non-farm income as well as farmers' attributes such as purposes of loan, crop failure, weather conditions and knowledge about loans affect loan repayment and discriminate the borrowers into two groups in the study area. Financial institutions and banks have major role in financial sector as well as rural sector of an economy in terms of providing loans to the rural community in developing countries like Sri Lanka. The borrowers especially, farmers are able to get the loans from the microfinance institutions to improve their living standard through agricultural activities and generate their income. Even the borrowers have chances to receive the loans, the microfinance institutions and banks are facing the problems to recover the loans from the borrowers. Thus, default rate among the borrowers has been increasing over time which is the difficult task to manage the banks and financial institutions. There are a number of many factors particularly demographic and farming characters that affect the loan repayment rates. There has not been any empirical research conducted regarding to repayment performance among the borrowers who get the loans from SANASA Thrift, Credit and Cooperative Society (TCCS) banks in Vavuniya district. Therefore, this study tries to provide the relevant information for a better understanding on the determinants of loan repayment performance of the borrowers and the information will be useful for policy makers, other lending institutions and stakeholders for their future decision making on granting the loans for their clients.
Author: Lyn Thomas
Publisher: SIAM
ISBN: 1611974550
Category : Business & Economics
Languages : en
Pages : 380
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Book Description
Credit Scoring and Its Applications?is recognized as the bible of credit scoring. It contains a comprehensive review of the objectives, methods, and practical implementation of credit and behavioral scoring. The authors review principles of the statistical and operations research methods used in building scorecards, as well as the advantages and disadvantages of each approach. The book contains a description of practical problems encountered in building, using, and monitoring scorecards and examines some of the country-specific issues in bankruptcy, equal opportunities, and privacy legislation. It contains a discussion of economic theories of consumers' use of credit, and readers will gain an understanding of what lending institutions seek to achieve by using credit scoring and the changes in their objectives.? New to the second edition are lessons that can be learned for operations research model building from the global financial crisis, current applications of scoring, discussions on the Basel Accords and their requirements for scoring, new methods for scorecard building and new expanded sections on ways of measuring scorecard performance. And survival analysis for credit scoring. Other unique features include methods of monitoring scorecards and deciding when to update them, as well as different applications of scoring, including direct marketing, profit scoring, tax inspection, prisoner release, and payment of fines.?
Author: Chia-Lin Chang
Publisher: MDPI
ISBN: 3038979260
Category : Business & Economics
Languages : en
Pages : 222
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Book Description
Although the theme of the monograph is primarily related to “Applied Econometrics”, there are several theoretical contributions that are associated with empirical examples, or directions in which the novel theoretical ideas might be applied. The monograph is associated with significant and novel contributions in theoretical and applied econometrics; economics; theoretical and applied financial econometrics; quantitative finance; risk; financial modeling; portfolio management; optimal hedging strategies; theoretical and applied statistics; applied time series analysis; forecasting; applied mathematics; energy economics; energy finance; tourism research; tourism finance; agricultural economics; informatics; data mining; bibliometrics; and international rankings of journals and academics.
Author: Xavier Gine
Publisher: World Bank Publications
ISBN: 0609181742
Category : Bank Policy
Languages : en
Pages : 38
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Book Description
Group liability is often portrayed as the key innovation that led to the explosion of the microcredit movement, which started with the Grameen Bank in the 1970s and continues on today with hundreds of institutions around the world. Group lending claims to improve repayment rates and lower transaction costs when lending to the poor by providing incentives for peers to screen, monitor, and enforce each other's loans. However, some argue that group liability creates excessive pressure and discourages good clients from borrowing, jeopardizing both growth and sustainability. Therefore, it remains unclear whether group liability improves the lender's overall profitability and the poor's access to financial markets. The authors worked with a bank in the Philippines to conduct a field experiment to examine these issues. They randomly assigned half of the 169 pre-existing group liability 'centers' of approximately twenty women to individual-liability centers (treatment) and kept the other half as-is with group liability (control). We find that the conversion to individual liability does not affect the repayment rate, and leads to higher growth in center size by attracting new clients.
Author: Majid Bazarbash
Publisher: International Monetary Fund
ISBN: 1498314422
Category : Business & Economics
Languages : en
Pages : 34
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Book Description
Recent advances in digital technology and big data have allowed FinTech (financial technology) lending to emerge as a potentially promising solution to reduce the cost of credit and increase financial inclusion. However, machine learning (ML) methods that lie at the heart of FinTech credit have remained largely a black box for the nontechnical audience. This paper contributes to the literature by discussing potential strengths and weaknesses of ML-based credit assessment through (1) presenting core ideas and the most common techniques in ML for the nontechnical audience; and (2) discussing the fundamental challenges in credit risk analysis. FinTech credit has the potential to enhance financial inclusion and outperform traditional credit scoring by (1) leveraging nontraditional data sources to improve the assessment of the borrower’s track record; (2) appraising collateral value; (3) forecasting income prospects; and (4) predicting changes in general conditions. However, because of the central role of data in ML-based analysis, data relevance should be ensured, especially in situations when a deep structural change occurs, when borrowers could counterfeit certain indicators, and when agency problems arising from information asymmetry could not be resolved. To avoid digital financial exclusion and redlining, variables that trigger discrimination should not be used to assess credit rating.
Author: B.M. Campbell
Publisher: CIFOR
ISBN: 9798764781
Category : Arid regions
Languages : en
Pages : 169
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Book Description
The study sites. Methods. The wealth index and its variation. Human, financial, physical and natural capital - the essets available to households. Households productive activities - the generation of cash and subsistence gross income. Exploring household strategies. Net income and poverty. Temporal changes in livelihood strategies. Modelling livelihood change. Making a difference.
Author: Chia-Lin Chang
Publisher: MDPI
ISBN: 3039360949
Category : Business & Economics
Languages : en
Pages : 246
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Book Description
This book is a collection of high-impact papers accepted and presented at the 2019 Vietnam’s Business and Economics Research Conference (VBER2019) organised by Ho Chi Minh City Open University held on 18th–20th July 2019. The Special Issue is associated with a broad coverage of the contemporary issues in Business and Economics in Vietnam and other emerging markets reflecting a key theme of VBER2019: Vietnam’s Place in the Asia Pacific Region. A total of 14 papers were published from more than the 120 submissions to the VBER2019 Conference. Published papers had been undergone a rigorous reviewing process conducted by the Journal of Risk and Financial Management. The papers incorporated in this book address contemporary issues in business and economics from Vietnam and other emerging markets in the Asian region from various angles such as economics, finance, and statistics to management science. At the time of writing this note, some of the papers have attracted more than 1000 downloads in 3 months. In particular, a paper on “Foreign Direct Investment and Economic Growth from Developing Countries in the Short Run and Long Run” by Trang Thi-Huyen Dinh and her team has attracted almost 6000 downloads in 3 months. These statistics indicate that the papers published in this Special Issue have attracted the wide interest of readers. Among these 14 published papers, three main areas of important contemporary issues in Business and Economics in the Asian region can be identified. First, a block of papers deals with various important and fundamental issues in the emerging markets the Asian region, from exchange rate regime, financial inclusion, and financial development to energy consumption and environmental degradation. On the issue of CO2 emissions, energy consumption and economic growth in the ASEAN, Vo, Vo, and Le utilized various time series econometrics approaches. Key findings from this paper indicate that there are no long-run relationships among carbon dioxide (CO2) emissions, energy consumption, renewable energy, population growth, and economic growth in the Philippines and Thailand, but a relationship does exist in Indonesia, Myanmar, and Malaysia. Loo, in his paper on financial inclusion for the ASEAN, concluded that advancing internet capability and availability present investors an opportunity to offer financial technology or Fintech to meet the need for financial services in this digital era. Second, a challenge in quantitative studies for a single country, such as Vietnam, with limited data is generally noted. However, various empirical studies on Vietnam’s business and economics issues have been conducted. Nguyen, Quan, and Pham examined the cultural distance and entry mode of foreign direct investment in Vietnam. A key finding from their paper is that when there is a great cultural difference between Vietnam and their home country, foreign-invested firms prefer wholly owned subsidiaries over equity joint ventures. Within the Vietnamese market, Pham, Vo, Ho, and McAleer conducted a study on the issue of corporate financial distress. The authors conclude that the corporate financial distress prediction model, which includes accounting factors with macroeconomic indicators, performs much better than alternative models. In addition, the evidence confirms that the global financial crisis (GFC) had a damaging impact on each sector, with the Health & Education sector demonstrating the most impressive recovery post-GFC, and the utilities sector recording a dramatic increase in bankruptcies post-GFC. At another extreme of the spectrum, Van and Nguyen considered that competitive context, social influences, the understanding of managers about corporate social responsibility (CSR), and the internal environment of companies are the four drivers of CSR. The authors also argued that in the four drivers, competitive context has the strongest impact on adopting CSR. Third, last but not least, various papers focus on an important aspect of public finance. For an example, Pham, Pham, and Ly documented the effect of double taxation treaties on the bilateral trade of Vietnam with ASEAN member states, thereby making an extensive comparison with its EU partner countries. Their findings indicate the significant contributions of the tax treaties to Vietnam’s trade performance, not exclusively with ASEAN but also with EU partner countries. In addition, regarding public finance for Vietnam, Nguyen, Vo, Ho, and Vo investigated the contribution of fiscal decentralisation to economic growth across provinces in Vietnam. For the first time in Vietnam, the fiscal decentralisation index together its two subcomponents, including fiscal importance and fiscal autonomy, are developed. Findings from this paper indicate that while fiscal importance and an overall level of fiscal decentralisation have provided negative impact on provincial economic growth, fiscal autonomy has a positive impact on economic growth across provinces in Vietnam.
Author: John B. Caouette
Publisher: John Wiley & Sons
ISBN: 9780471111894
Category : Business & Economics
Languages : en
Pages : 476
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Book Description
The first full analysis of the latest advances in managing credit risk. "Against a backdrop of radical industry evolution, the authors of Managing Credit Risk: The Next Great Financial Challenge provide a concise and practical overview of these dramatic market and technical developments in a book which is destined to become a standard reference in the field." -Thomas C. Wilson, Partner, McKinsey & Company, Inc. "Managing Credit Risk is an outstanding intellectual achievement. The authors have provided investors a comprehensive view of the state of credit analysis at the end of the millennium." -Martin S. Fridson, Financial Analysts Journal. "This book provides a comprehensive review of credit risk management that should be compulsory reading for not only those who are responsible for such risk but also for financial analysts and investors. An important addition to a significant but neglected subject." -B.J. Ranson, Senior Vice-President, Portfolio Management, Bank of Montreal. The phenomenal growth of the credit markets has spawned a powerful array of new instruments for managing credit risk, but until now there has been no single source of information and commentary on them. In Managing Credit Risk, three highly regarded professionals in the field have-for the first time-gathered state-of-the-art information on the tools, techniques, and vehicles available today for managing credit risk. Throughout the book they emphasize the actual practice of managing credit risk, and draw on the experience of leading experts who have successfully implemented credit risk solutions. Starting with a lucid analysis of recent sweeping changes in the U.S. and global financial markets, this comprehensive resource documents the credit explosion and its remarkable opportunities-as well as its potentially devastating dangers. Analyzing the problems that have occurred during its growth period-S&L failures, business failures, bond and loan defaults, derivatives debacles-and the solutions that have enabled the credit market to continue expanding, Managing Credit Risk examines the major players and institutional settings for credit risk, including banks, insurance companies, pension funds, exchanges, clearinghouses, and rating agencies. By carefully delineating the different perspectives of each of these groups with respect to credit risk, this unique resource offers a comprehensive guide to the rapidly changing marketplace for credit products. Managing Credit Risk describes all the major credit risk management tools with regard to their strengths and weaknesses, their fitness to specific financial situations, and their effectiveness. The instruments covered in each of these detailed sections include: credit risk models based on accounting data and market values; models based on stock price; consumer finance models; models for small business; models for real estate, emerging market corporations, and financial institutions; country risk models; and more. There is an important analysis of default results on corporate bonds and loans, and credit rating migration. In all cases, the authors emphasize that success will go to those firms that employ the right tools and create the right kind of risk culture within their organizations. A strong concluding chapter integrates emerging trends in the financial markets with the new methods in the context of the overall credit environment. Concise, authoritative, and lucidly written, Managing Credit Risk is essential reading for bankers, regulators, and financial market professionals who face the great new challenges-and promising rewards-of credit risk management.
Author: Michel Henry Bouchet
Publisher: John Wiley & Sons
ISBN: 047086818X
Category : Business & Economics
Languages : en
Pages : 286
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Book Description
One of the few books on the subject, Country Risk Assessment combines the theoretical and practical tools for managing international country risk exposure. - Offers a comprehensive discussion of the specific mechanisms that apply to country risk assessment. - Discusses various techniques associated with global investment strategy. - Presents and analyses the various sources of country risk. - Provides an in depth coverage of information sources and country risk service providers. - Gives techniques for forecasting country financial crises. - Includes practical examples and case studies. - Provides a comprehensive review of all existing methods including the techniques on the cutting-edge Market Based Approaches such as KMV, CreditMetrics, CountryMetrics and CreditRisk+.
Author: Shigeyuki Hamori
Publisher: MDPI
ISBN: 3038977063
Category : Business & Economics
Languages : en
Pages : 276
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Book Description
There is no denying the role of empirical research in finance and the remarkable progress of empirical techniques in this research field. This Special Issue focuses on the broad topic of “Empirical Finance” and includes novel empirical research associated with financial data. One example includes the application of novel empirical techniques, such as machine learning, data mining, wavelet transform, copula analysis, and TV-VAR, to financial data. The Special Issue includes contributions on empirical finance, such as algorithmic trading, market efficiency, market microstructure, portfolio theory and asset allocation, asset pricing models, liquidity risk premium, currency crisis, return predictability, and volatility modeling.
