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Financial Performance and Outreach
Microfinance contracts have proven able to secure high rates of loan repayment in the face of limited liability and information asymmetries, but high repayment rates have not translated easily into profits for most microbanks. Profitability, though, is at the heart of the promise that microfinance can deliver poverty reduction while not relying on ongoing subsidy. The authors examine why this promise remains unmet for most institutions. Using a data set with unusually high quality financial information on 124 institutions in 49 countries, they explore the patterns of profitability, loan repayment, and cost reduction. The authors find that institutional design and orientation matter substantially. Lenders that do not use group-based methods to overcome incentive problems experience weaker portfolio quality and lower profit rates when interest rates are raised substantially. For these individual-based lenders, one key to achieving profitability is investing more heavily in staff costs-a finding consistent with the economics of information but contrary to the conventional wisdom that profitability is largely a function of minimizing cost.
The Microfinance Revolution: Sustainable finance for the poor
Microfinance is the method whereby financial services and credit is made available to the economically active but low income people of developiong countries. This book focusses on three key aspects of the phenomenon: 1) the shift from government- and donor-subsidized credit delivery systems to self-sufficient, sustainable microfinance institutions; 2) the results on the ground, on the way in which microfinance is helps people expand and diversify their enterprises, increase their incomes, raise their living standards and those of theri families, and boost their self-confidence; 3) the theroretical frameworks that had previously impeded the microfinance revolution, with suggestions for their improvement.
Advances in Financial Machine Learning
Learn to understand and implement the latest machine learning innovations to improve your investment performance Machine learning (ML) is changing virtually every aspect of our lives. Today, ML algorithms accomplish tasks that – until recently – only expert humans could perform. And finance is ripe for disruptive innovations that will transform how the following generations understand money and invest. In the book, readers will learn how to: Structure big data in a way that is amenable to ML algorithms Conduct research with ML algorithms on big data Use supercomputing methods and back test their discoveries while avoiding false positives Advances in Financial Machine Learning addresses real life problems faced by practitioners every day, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their individual setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.
Anthropology and Development in a Globalized India
The book tries to portray sericulture, as a crop enterprise, and which is emerged as one of the foremost view in the theoretical and methodological understanding in the disciplines of Sociology and Social Anthropology in India. Thus, anthropological analysis of sericulture and its emergence in the development literature gives us an idea of the activity leads to further theoretical and critical studies. Anthropological understanding of the sericulture and its development, thus, is explained thoroughly as studied by the scholars of the different disciplines in across the states of India. Sericulture is best suited to a country like India where manpower and land resources are in surplus. It gen...
Education in South-East Asia
Exploring contemporary issues and challenges facing education in South-East Asia, this Handbook covers the 10 member states of the ASEAN and Timor-Leste.
A Phenomenology of Institutions
To a degree insufficiently captured by the term governance, the present age is one of institutional complexity. China is a case in point. An amalgam of socialist, capitalist, corporatist, and pluralist characteristics, China's systems of governance defy classification using extant categories in the institutionalist literature. What, after all, is a socialist market system? A Phenomenology of Institutions begins with the problem of describing emergent institutional phenomena using conventional typologies. Constructing a new descriptive framework for rendering new, hybrid, and flexible institutional designs, Raul Lejano, Jia Guo, Hongping Lian, and Bo Yin propose new descriptors, involving con...
Applications of Artificial Intelligence in Finance and Economics
The result of the selection of papers presented at a special session entitled 'Applications of Artificial Intelligence in Economics and Finance' at the '2003 International Conference on Artificial Intelligence'. This volume will appeal to economists interested in adopting an interdisciplinary approach to the study of economic problems.
