Author: World Bank
Publisher: World Bank Publications
ISBN: 1464814414
Category : Business & Economics
Languages : en
Pages : 254
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Book Description
Seventeen in a series of annual reports comparing business regulation in 190 economies, Doing Business 2020 measures aspects of regulation affecting 10 areas of everyday business activity.
Author: Adolfo Barajas
Publisher:
ISBN: 9781513553009
Category :
Languages : en
Pages : 51
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Book Description
The past two decades have seen a rapid increase in interest in financial inclusion, both from policymakers and researchers. This paper surveys the main findings from the literature, documenting the trends over time and gaps that have arisen across regions, income levels, and gender, among others. It points out that structural, as well as policy-related, factors, such as encouraging banking competition or channeling government payments through bank accounts, play an important role, and describes the potential macro and microeconomic benefits that can be derived from greater financial inclusion. It argues that policy should aim to identify and reduce frictions holding back financial inclusion, rather than targeting specific levels of inclusion. Finally, it suggests areas for future research.
Author: John O.S. Wilson
Publisher: Taylor & Francis
ISBN: 1000404528
Category : Business & Economics
Languages : en
Pages : 161
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Book Description
A growing body of evidence suggests that financial literacy plays an important role in financial well-being, and that differences in financial knowledge acquired early in life can explain a significant part of financial and more general well-being in adult life. Financial technology (FinTech) is revolutionizing the financial services industry at an unrivalled pace. Views differ regarding the impact that FinTech is likely to have on personal financial planning, well-being and societal welfare. In an era of mounting student debt, increased (digital) financial inclusion and threats arising from instances of (online) financial fraud, financial education and enlightened financial advising are appropriate policy interventions that enhance financial and overall well-being. Financial Literacy and Responsible Finance in the FinTech Era: Capabilities and Challenges engages in this important academic and policy agenda by presenting a set of seven chapters emanating from four parallel streams of literature related to financial literacy and responsible finance. The chapters in this book were originally published as a special issue of The European Journal of Finance.
Author: Wouter Verbeke
Publisher: John Wiley & Sons
ISBN: 1119286557
Category : Business & Economics
Languages : en
Pages : 420
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Book Description
Maximize profit and optimize decisions with advanced business analytics Profit-Driven Business Analytics provides actionable guidance on optimizing the use of data to add value and drive better business. Combining theoretical and technical insights into daily operations and long-term strategy, this book acts as a development manual for practitioners seeking to conceive, develop, and manage advanced analytical models. Detailed discussion delves into the wide range of analytical approaches and modeling techniques that can help maximize business payoff, and the author team draws upon their recent research to share deep insight about optimal strategy. Real-life case studies and examples illustrate these techniques at work, and provide clear guidance for implementation in your own organization. From step-by-step instruction on data handling, to analytical fine-tuning, to evaluating results, this guide provides invaluable guidance for practitioners seeking to reap the advantages of true business analytics. Despite widespread discussion surrounding the value of data in decision making, few businesses have adopted advanced analytic techniques in any meaningful way. This book shows you how to delve deeper into the data and discover what it can do for your business. Reinforce basic analytics to maximize profits Adopt the tools and techniques of successful integration Implement more advanced analytics with a value-centric approach Fine-tune analytical information to optimize business decisions Both data stored and streamed has been increasing at an exponential rate, and failing to use it to the fullest advantage equates to leaving money on the table. From bolstering current efforts to implementing a full-scale analytics initiative, the vast majority of businesses will see greater profit by applying advanced methods. Profit-Driven Business Analytics provides a practical guidebook and reference for adopting real business analytics techniques.
Author: El Bachir Boukherouaa
Publisher: International Monetary Fund
ISBN: 1589063953
Category : Business & Economics
Languages : en
Pages : 35
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Book Description
This paper discusses the impact of the rapid adoption of artificial intelligence (AI) and machine learning (ML) in the financial sector. It highlights the benefits these technologies bring in terms of financial deepening and efficiency, while raising concerns about its potential in widening the digital divide between advanced and developing economies. The paper advances the discussion on the impact of this technology by distilling and categorizing the unique risks that it could pose to the integrity and stability of the financial system, policy challenges, and potential regulatory approaches. The evolving nature of this technology and its application in finance means that the full extent of its strengths and weaknesses is yet to be fully understood. Given the risk of unexpected pitfalls, countries will need to strengthen prudential oversight.
Author: Dr. Omar Fisher
Publisher: Xlibris Corporation
ISBN: 1664152989
Category : Business & Economics
Languages : en
Pages : 222
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Book Description
Do you want to regain control of money, have visibility on your spending, or simply want to learn how to save? CleanWealth Guide provides answers. This Guide empowers you, boosts your confidence in making money decisions, and helps clarify your relationship to money on a deep mindset level. CleanWealth Guide is a step-by-step, non-technical blueprint to help you design your financial life. Most financial literacy programs and personal finance books fail to describe how to change unwanted money habits and how to update finance tools and terms made popular in the 1990s. As we enter the 3rd decade of the 21st Century, finance is rapidly being reengineered and blockchain, cryptocurrencies and digital tokens are commonplace. Headlong we are being propelled into a cashless society. Are you ready? Habits of the rich and successful are explained. A growth mindset is explored and how to modify the mental paradigm that determines your money behaviors. Access to simple exercises, case studies and templates are provided to learn about cashflows, balance sheet, budgeting and risk exposures. Also, references to ancient scriptures give guidance on charitable giving, wealth distribution and leaving a positive legacy. CleanWealth Guide helps you to discover a pathway to permanent happiness. Clear insights are offered into 8 Universal laws of success and principles for Exceptional Living.
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: Ms.Ratna Sahay
Publisher: International Monetary Fund
ISBN: 1513512242
Category : Business & Economics
Languages : en
Pages : 83
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Book Description
Technology is changing the landscape of the financial sector, increasing access to financial services in profound ways. These changes have been in motion for several years, affecting nearly all countries in the world. During the COVID-19 pandemic, technology has created new opportunities for digital financial services to accelerate and enhance financial inclusion, amid social distancing and containment measures. At the same time, the risks emerging prior to COVID-19, as digital financial services developed, are becoming even more relevant.
Author: Jonathan Morduch
Publisher: Princeton University Press
ISBN: 0691172986
Category : Business & Economics
Languages : en
Pages : 248
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Book Description
Drawing on the groundbreaking U.S. Financial Diaries project (http://www.usfinancialdiaries.org/), which follows the lives of 235 low- and middle-income families as they navigate through a year, the authors challenge popular assumptions about how Americans earn, spend, borrow, and save-- and they identify the true causes of distress and inequality for many working Americans.
Author: Sergio Consoli
Publisher: Springer Nature
ISBN: 3030668916
Category : Application software
Languages : en
Pages : 357
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Book Description
This open access book covers the use of data science, including advanced machine learning, big data analytics, Semantic Web technologies, natural language processing, social media analysis, time series analysis, among others, for applications in economics and finance. In addition, it shows some successful applications of advanced data science solutions used to extract new knowledge from data in order to improve economic forecasting models. The book starts with an introduction on the use of data science technologies in economics and finance and is followed by thirteen chapters showing success stories of the application of specific data science methodologies, touching on particular topics related to novel big data sources and technologies for economic analysis (e.g. social media and news); big data models leveraging on supervised/unsupervised (deep) machine learning; natural language processing to build economic and financial indicators; and forecasting and nowcasting of economic variables through time series analysis. This book is relevant to all stakeholders involved in digital and data-intensive research in economics and finance, helping them to understand the main opportunities and challenges, become familiar with the latest methodological findings, and learn how to use and evaluate the performances of novel tools and frameworks. It primarily targets data scientists and business analysts exploiting data science technologies, and it will also be a useful resource to research students in disciplines and courses related to these topics. Overall, readers will learn modern and effective data science solutions to create tangible innovations for economic and financial applications.
