A Trust Model for Online Peer-To-Peer Lending: a Lender's Perspective
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East Africa Crowdfunding Landscape Study
REPORT | OCTOBER 2016 East Africa Crowdfunding Landscape Study REDUCING POVERTY THROUGH FINANCIAL SECTOR DEVELOPMENT Seven Things We Learned 1 2 3 4 East African East Africa’s Crowdfunding There’s appetite to crowdfunding platforms report risks and the do business and to markets are on promising regulatory learn more from the move. progress. environment. across East Africa. Crowdfunding platforms Since 2012 M-Changa In Kenya, for example, Over 65 participants at- (donation, rewards, debt has raised $900,000 Section 12A of the Capi- tended the Indaba & and equity) raised $37.2 through 46,000 tal Markets Act provides a Marketplace from all cor- million in 2015 in Kenya, donations to 6,129 safe space for innovations ners of the East African Rwanda, Tanzania and fundraisers. Pesa Zetu to grow before being sub- market. Uganda. By the end of Q1 and LelaFund are also ject to the full regulatory 2016, this figure reached opening access to their regime. $17.8 million – a 170% deals on the platform. year-on-year increase. 5 6 7 East Africa’s MSMEs ex- There are both commercial Global crowdfunding press a demand for alterna- and development oppor- markets are growing tive finance, but they’re not tunities for crowdfunding fast but also evolving. always investment-ready or platforms in East Africa. Finance raised by crowdfunding able to locate financiers. Crowdfunding platforms have the platforms worldwide increased from 45% of Kenyan start-ups sampled re- potential to mobilise and allocate $2.7 billion in 2012 to an estimated quire between $10,000 and $50,000 capital more cheaply and quickly $34 billion in 2015. -
An Experiment on Preferences and Microfinance Lending
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Chen, Josie I.; Foster, Andrew D.; Putterman, Louis G. Working Paper Identity, trust and altruism: An experiment on preferences and microfinance lending Working Paper, No. 2017-3 Provided in Cooperation with: Department of Economics, Brown University Suggested Citation: Chen, Josie I.; Foster, Andrew D.; Putterman, Louis G. (2017) : Identity, trust and altruism: An experiment on preferences and microfinance lending, Working Paper, No. 2017-3, Brown University, Department of Economics, Providence, RI This Version is available at: http://hdl.handle.net/10419/202592 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence. www.econstor.eu Identity, Trust and Altruism: An Experiment on Preferences and Microfinance Lending Josie I Chen1, Andrew Foster2, and Louis Putterman3# 1 Department of Economics, National Taipei University, No.151, Daxue Rd., Sanxia Dist., New Taipei City 23741, Taiwan (R.O.C.). -
Resources for Startups and Entrepreneurs Microwork
Resources for Startups and Entrepreneurs 1. Microwork 2. Sharing Economy 3. The Investment Cycle 4. EU SME and Startup Funds 5. Microlending, Microfinancing, and Microcredit 6. Crowdfunding (P2P Financing) 7. Alternative Lending 8. Vendor/PO Financing and Online Factoring 9. Other Sources of Financing 10 Resources Microwork (get paid for fulfilling tasks online) Amazon Mechanical Turk LiveOps InnoCentive Samasource Paid online survey sites Kindle Direct Publishing (self-publishing) Craiglist (classified ads) Monster (find a job) Newsy or CNN iReport (citizen journalism) YouTube Partner (share ad revenues) CCNow (accept credit cards and PayPal payments) Amazon Associates (get a commission on referred sales) EBay or Etsy or Alibaba (sell things, including handicrafts) Shareconomy (Sharing Economy) View introductory video AirBnB or Couchsurfing (share your home for a fee) Eatwith or Kitchensurfing (host a meal and get paid) Vayable (become a tour guide) Uber or Lyft or Sidecar (give rides in your car) BorrowedBling or Girl Meets Dress or Rent the Runway (lend your jewelry and haute couture for a fee) Yerdle or Snap Goods (Simplist) or Open Shed (swap, rent, or borrow things) Relay Rides or Getaround (rent out your car) Favor Delivery (get deliveries – or deliver) Task Rabbit (handyman services) Waze (community rides) The Investment Cycle Register firm in target market Doing Business Equity structure Common stock Stock options Convertible debt Series A Preferred Stock (convertible to common stock on IPO/sale) Investment Cycle - Overview Seed -
“P2P Lending As an Alternative to Bank Lending in Ukraine”
“P2P lending as an alternative to bank lending in Ukraine” AUTHORS Alexander Lavryk Alexander Lavryk (2016). P2P lending as an alternative to bank lending in ARTICLE INFO Ukraine . Banks and Bank Systems, 11(4), 20-30. doi:10.21511/bbs.11(4).2016.02 DOI http://dx.doi.org/10.21511/bbs.11(4).2016.02 RELEASED ON Friday, 09 December 2016 JOURNAL "Banks and Bank Systems" FOUNDER LLC “Consulting Publishing Company “Business Perspectives” NUMBER OF REFERENCES NUMBER OF FIGURES NUMBER OF TABLES 0 0 0 © The author(s) 2021. This publication is an open access article. businessperspectives.org Banks and Bank Systems, Volume 11, Issue 4, 2016 Alexander Lavryk (Ukraine) P2P lending as an alternative to bank lending in Ukraine Abstract The goal of the article is to consider peer-to-peer lending and its interaction with bank lending that creates an aggregate hybrid lending. The article’s objective is the research of development of P2P lending on the financial market and beyond, which is particularly relevant today. This goal is achieved by using the methods of evaluation and comparative analysis of different principles, which makes it possible to structure the general scientific understanding of P2P lending with the help of statistical methods. The study of the dynamics and structure of peer-to-peer lending in various coun- tries for the period 2005-2016 led to the conclusion that in Ukraine, there is a decline in the share of bank lending in favor of peer-to-peer lending in the total amount of loans with an increasing role of non-bank and hybrid forms of len- ding in ensuring economic growth. -
The Pennsylvania State University Schreyer Honors College
THE PENNSYLVANIA STATE UNIVERSITY SCHREYER HONORS COLLEGE DEPARTMENT OF FINANCE MICROCREDIT INTEREST RATES AND ONLINE MICROLENDING MODELS QISHUAI WANG FALL 2014 A thesis submitted in partial fulfillment of the requirements for baccalaureate degrees in Accounting and Finance with honors in Finance Reviewed and approved* by the following: James Miles Professor of Finance, Joseph F. Bradley Fellow of Finance Thesis Supervisor Brian Davis Clinical Associate Professor of Finance Honors Adviser Dennis Sheehan The Virginia and Louis Benzak Professor of Finance Faculty Reader * Signatures are on file in the Schreyer Honors College. i ABSTRACT This thesis introduces the origins of microfinance, explains the reasons why microfinance institutions (MFIs) charge high interest rates, and examines the determinants of microcredit interest rates. Three fundamentally different online microlending platforms – Kiva (http://kiva.org), Kiva Zip (https://zip.kiva.org), and Zidisha (https://zidisha.org) – are explored in depth and compared to each other (Appendix A-1). This thesis discusses each platform’s operating model, interest rates, repayment rates, repayment terms, risks, and financial performance. Screenshots of a lender’s loan portfolio and a borrower’s repayment schedule on each platform are provided. A case study is performed on Kiva’s Field Partners to analyze their repayment performance, loan characteristics, and borrowing cost comparison with MFIs in the Field Partners’ countries. This thesis demonstrates that the partner-facilitated microlending model, as exemplified by Kiva, is the most costly to borrowers but the least risky option for lenders; the trustee endorsement model, as exemplified by Kiva Zip, is the most affordable to borrowers but not yet sustainable; and the direct person-to-person microlending model, as exemplified by Zidisha, is beneficial to borrowers, self-sufficient, and transparent, but highly risky for lenders. -
Optegra AB (Publ)
TrustBuddy International AB Company Description 2011 Disclaimer References to “the Company Description” pertain to this document containing information for investors in conjunction with the Company’s application of admission to trading on NASDAQ OMX Stockholm AB’s First North list (“First North”). The Company Description has not been registered or approved by any governmental or regulatory agency in Sweden. The Company Description has been prepared by the Board of Directors of TrustBuddy International AB (“TrustBuddy”) as information for the shareholders before the intended listing of the Company on the First North list. The shares are not subject to trade or distribution or application in any other country than Sweden. In consequence, the shares are not registered for trade or distribution in the USA, Canada or any other country than Sweden. This Company Description may not be distributed to, or within, any country in which such distribution requires any additional registrations, filings, review or other measures than those required under Swedish law. Any and all information in this Company Description shall be carefully considered, particularly the specific factors mentioned in the sector “Risk factors”. Statements in this Company Description regarding future prospects or other future conditions are made by the Company and based on current market conditions and other current factors. Such statements, as all statements regarding the future, are subject to uncertainty. This Company Description also contains information regarding market growth, market development and industry estimates, including information regarding the size of the markets on which the Company is operating. That information is based on the Company’s knowledge about its operations and markets and on information compiled by a number of external sources. -
Harnessing Internet Finance with Innovative Cyber Credit Management
A Service of Leibniz-Informationszentrum econstor Wirtschaft Leibniz Information Centre Make Your Publications Visible. zbw for Economics Lin, Zhangxi; Whinston, Andrew B.; Fan, Shaokun Article Harnessing Internet finance with innovative cyber credit management Financial Innovation Provided in Cooperation with: SpringerOpen Suggested Citation: Lin, Zhangxi; Whinston, Andrew B.; Fan, Shaokun (2015) : Harnessing Internet finance with innovative cyber credit management, Financial Innovation, ISSN 2199-4730, Springer, Heidelberg, Vol. 1, Iss. 5, pp. 1-24, http://dx.doi.org/10.1186/s40854-015-0004-7 This Version is available at: http://hdl.handle.net/10419/176396 Standard-Nutzungsbedingungen: Terms of use: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Documents in EconStor may be saved and copied for your Zwecken und zum Privatgebrauch gespeichert und kopiert werden. personal and scholarly purposes. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle You are not to copy documents for public or commercial Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich purposes, to exhibit the documents publicly, to make them machen, vertreiben oder anderweitig nutzen. publicly available on the internet, or to distribute or otherwise use the documents in public. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, If the documents have been made available under an Open gelten abweichend von diesen Nutzungsbedingungen die in der dort Content Licence (especially Creative Commons Licences), you genannten Lizenz gewährten Nutzungsrechte. may exercise further usage rights as specified in the indicated licence. http://creativecommons.org/licenses/by/4.0/ www.econstor.eu Lin et al. Financial Innovation (2015) 1:5 DOI 10.1186/s40854-015-0004-7 RESEARCH Open Access Harnessing Internet finance with innovative cyber credit management Zhangxi Lin1,2*, Andrew B. -
Case Based Reasoning As a Tool to Improve Microcredit
Case based Reasoning as a Tool to Improve Microcredit Mohammed Jamal Uddin, Giuseppe Vizzari and Stefania Bandini Complex Systems and Artificial Intelligence Research Center, University of Milano-Bicocca, Viale Sarca 336/14, 20126, Milan, Italy Keywords: Microcredit, Case-based Reasoning, Knowledge Artifacts. Abstract: This paper will discuss the possibility to adopt the Case-Based Reasoning approach to improve microcredit initiatives. In particular, we will consider the Kiva microcredit system, which provides a characterisation (rating) of the risk associated to the field partner supporting the loan, but not of the specific borrower which would benefit from it. We will discuss how the combination of available historical data on loans and their outcomes (structured as a case base) and available knowledge on how to evaluate the risk associated to a loan request (exploited to actually rate past cases and therefore bootstrap the CBR system), can be used to provide the end-users with an indication of the risk rating associated to a loan request based on similar past situations. From this perspective, the case-base and the codified knowledge about how to evaluate risks associated to a loan represent two examples of knowledge IT artifacts. 1 INTRODUCTION risks associated to a loan represent two examples of knowledge IT artifacts (Cabitza and Locoro, 2015); Microfinance and microcredit represent innovative (Salazar et al., 2008). The paper breaks down as and effective poverty alleviation instruments, follows: the following sections will present a state of recently conceived and implemented to support the the art in microfinance and microcredit sectors, then creation of income-generating and sustainable Section 3 will introduce Kiva and its workflow, activities in developing countries. -
Marzo De 2016 REPORTE DE ESTABILIDAD FINANCIERA
Marzo de 2016 REPORTE DE ESTABILIDAD FINANCIERA Marzo de 2016 Banco de la República Bogotá, D. C., Colombia ISSN - 1692 - 4029 2 CONTENIDO Resumen 7 I. Entorno macroeconómico 11 II. Vulnerabilidades del sistema financiero 17 A. Situación actual del sistema financiero 17 B. Riesgo de crédito 22 C. Riesgo de mercado 37 D. Riesgo de liquidez 40 Recuadro 1: Evolución del fondeo de los establecimientos de crédito, según la estabilidad de sus fuentes 46 Recuadro 2: Comparación entre el indicador de riesgo de liquidez de la Superintendencia Financiera de Colombia y el liquidity coverage ratio del comité de Basilea 51 III. Ejercicio de sensibilidad 55 Recuadro 3: Caracterización de los fondos de inversión colectiva (FIC) del sistema financiero colombiano 68 Recuadro 4: Peer to peer lending 72 IV. Regulación financiera 80 3 ÍNDICE DE GRÁFICOS Gráfico 1 A. Crecimiento económico real anual de las principales economías mundiales B. Crecimiento económico real anual para algunos países de América Latina 12 Gráfico 2 Expectativas de las tasas de los fondos federales 12 Gráfico 3 Índices de precios de los commodities 13 Gráfico 4 Curva spot Colombia 14 Gráfico 5 Déficit en la cuenta corriente 14 Gráfico 6 Crecimiento real anual de la cartera bruta de los establecimientos de crédito 18 Gráfico 7 A. Indicador de calidad por riesgo (ICR) B. Indicador de calidad por mora (ICM) 19 Gráfico 8 Tipo de inversión como proporción del total de inversiones 19 Gráfico 9 Composición del pasivo de los establecimientos de crédito 20 Gráfico 10 Composición del portafolio de inversiones de los IFNB 21 Gráfico 11 Crecimiento real anual de las comisiones y honorarios 22 Gráfico 12 A. -
Borrower Risk Assessment in P2P Microfinance Platforms
SCUOLADIDOTTORATO UNIVERSITÀ DEGLI STUDI DI MILANO-BICOCCA Dipartimento di / Department of Information Systems and Communications Dottorato di Ricerca in / PhD program Computer Science Ciclo/ Cycle XXIX Curriculum in (se presente / if it is) Borrower Risk Assessment in P2P Microfinance Platforms Cognome / Surname Jamal Uddin Nome / Name Mohammed Matricola / Registration number 787876 Tutore / Tutor: Prof. Dr. Giuseppe Vizzari Cotutore /Co-tutor: (se presente/if there is one) Supervisor: Prof. Dr. Stefania Bandini (se presente / if there is one) Coordinatore / Coordinator: Prof. Dr. Stefania Bandini ANNO ACCADEMICO / ACADEMIC YEAR 2015/2016 i Acknowledgements Firstly, I would like to express my sincere gratitude to my supervisor Prof. Stefania Bandini for the continuous support of my PhD study and related research, for her patience, motivation, and immense knowledge. Her guidance helped me in all the time of research and writing of this thesis. I could not have imagined having a better supervisor and mentor for my PhD study. Besides my supervisor, I would like to thank my tutor Professor Guiseppe Vizzari for his insightful comments and encouragement, but also for the hard question which helped me to widen my research from various perspectives. Moreover, I would like to express my sincere gratitude to Dr. Mahmood Osman Imam, Professor of Finance, Dhaka University, who has been always played a key role in encouraging and coordinating me in this whole project. I am very grateful to him for his invaluable support, time, suggestions and guidance throughout this period of research. Besides, I am indebted to all of my friends and colleagues of the LINTER lab at the Department of Computer Science, Systems and Communication (DISCO) for their support throughout my doctoral study. -
FR02/2017 IOSCO Research Report on Financial Technologies (Fintech)
IOSCO Research Report on Financial Technologies (Fintech) February 2017 Table of Contents ABOUT THIS REPORT............................................................................................................ 2 Chapter 1: Focus of this Report and Global Backdrop .............................................................. 4 Chapter 2: Alternative Financing Platforms ............................................................................ 10 2.1. Introduction ............................................................................................................... 10 2.2. Market evolution/ size ............................................................................................... 11 2.3. Benefits/ opportunities .............................................................................................. 14 2.4. Challenges/ risks ....................................................................................................... 15 2.5. Regulatory relevance/ responses ............................................................................... 18 Chapter 3: Retail Trading and Investment Platforms .............................................................. 22 3.1. Introduction ............................................................................................................... 22 3.2. Market evolution/ size ............................................................................................... 23 3.3. Benefits/ opportunities ............................................................................................. -
Financial Services & Capital Markets
5 FINANCIAL SERVICES & CAPITAL MARKETS + Lifting-The-Barriers Roundtable Preliminary Paper LIFTING-THE-BARRIERS ROUNDTABLE: FINANCIAL SERVICES & CAPITAL MARKETS About CARI The CIMB ASEAN Research Institute (CARI) was established in 2011 as a member of CIMB Group. CARI prides itself on being the first independent, transnational research institute dedicated solely to the advancement and acceleration of the ASEAN integration agenda. CARI was designed to pursue research and to promote thought leadership in support of an integrated ASEAN Community. CARI seeks pragmatic solutions and policy recommendations to address challenges in ASEAN integration and connectivity. CARI’s headquarters is located in Kuala Lumpur but the institute has a regional presence. About ASEAN Business Club A fully private sector driven initiative of ASEAN’s leading businesses coming together to support economic integration while providing a platform for networking. The ABC creates an avenue for ASEAN’s businesses to engage with global regional leaders. The club’s vision is ASEAN: Open for Business. About Accenture Accenture is a global management consulting technology services and outsourcing company with approximately 266,000 people serving clients in more than 120 countries. Combining unparalleled experience, comprehensive capabilities across all industries and business functions and extensive research on the world’s most successful companies, Accenture collaborates with clients to help them become high-performance businesses and governments. In ASEAN, Accenture’s offices are located in Indonesia, Malaysia, the Philippines, Singapore, Thailand and Vietnam LIFTING-THE-BARRIERS ROUNDTABLE: FINANCIAL SERVICES & CAPITAL MARKETS PREFACE The Lifting-The-Barriers Initiative (LTBI) is a year-long research exercise designed in conjunction with the ASEAN Business Club (ABC) Forum.