Know Where to Invest: Platform Risk Evaluation in Online Lending

2021 ◽  
Author(s):  
Zhao Wang ◽  
Cuiqing Jiang ◽  
Huimin Zhao
Keyword(s):  
Risk Evaluation ◽  
Rapid Development ◽  
Lessons Learned ◽  
Online Word Of Mouth ◽  
Start Up ◽  
Using Data ◽  
Types Of Information ◽  
Two Stages ◽  
Stage Analysis ◽  
Online Lending

Practice- and policy-oriented abstract for “Research Spotlights” Although enjoying rapid development, online lending also endures some unusual risk, that is, platform risk. We address a new problem at the macro platform level, platform risk evaluation, and explore types of information and methods that are effective in predicting platform risk. We identify four types of information, that is, platform characteristic, risk management, commercial competition, and online word of mouth, and examine their utilities, separately and jointly, in predicting platform risk. We also propose the use of survival analysis, especially the mixture survival model, in predicting whether and when a platform will default. We carry out a cross-stage analysis using data crawled from two leading web portals for online lending in China with the two stages separated by the recent dramatic policy intervention. The results reveal the differences among the four identified factors in terms of predictive utility, the heterogeneity between the two types of default platforms, and differences between the start-up and stable periods of platform development. Based on the results, we derive some insights and examine the cross-stage changes and commonalities. We provide both lessons learned from the past and practical implications for market managers and lenders in the current online lending market.

scholarly journals Personal Credit Risk Evaluation Model of P2P Online Lending Based on AHP

Symmetry ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 83
Author(s):  
Fengpei Wu ◽  
Xiang Su ◽  
Young Seok Ock ◽  
Zhiying Wang
Keyword(s):  
Credit Risk ◽  
Risk Evaluation ◽  
Evaluation Method ◽  
Evaluation Model ◽  
Rapid Development ◽  
Fuzzy Comprehensive Evaluation ◽  
Scoring Method ◽  
Personal Credit ◽  
Online Lending ◽  
Risk Evaluation Model

With the rapid development of the P2P (peer-to-peer) online lending industry, which is facing significant credit risk, personal credit evaluation is an important method to reduce credit risk. Based on the various indexes of personal credit risk evaluation of domestic and foreign commercial banks, and according to the characteristics of P2P online lending, this paper analyzes the factors that affect the credit risk of P2P online borrowers, introduces the unique risk factors in the field of Internet information, and constructs an index system of personal credit risk evaluation of P2P online lending, which combines qualitative and quantitative indexes, including six major indexes and 21 small indexes. It then quantifies each index and defines the judgment standard of the evaluation results. Using analytic hierarchy process (AHP), expert scoring method, and fuzzy comprehensive evaluation method, this paper establishes a personal credit risk evaluation model of P2P online lending based on AHP method. The public information of two borrowers on the “PaiPai Lending” platform are selected for experimental verification. The results show that the improved personal credit risk evaluation model has better applicability and can evaluate the borrower’s credit status more scientifically, accurately, and comprehensively; thus, it is an effective method of personal credit risk evaluation of P2P online lending.

scholarly journals Student perceptions and lessons learned from flipping a masters level public health course | Perceptions des étudiants et leçons tirées d’une classe inversée pour un cours de maîtrise en santé environnementale et professionnelle

2015 ◽  
Vol 41 (2) ◽  
Author(s):  
Lindsay P. Galway ◽  
Barbara Berry ◽  
Timothy Takaro
Keyword(s):  
Public Health ◽  
Focus Group ◽  
Student Perceptions ◽  
Flipped Classroom ◽  
Lessons Learned ◽  
Instructional Model ◽  
Santé Environnementale ◽  
Health Course ◽  
Using Data ◽  
Groupe De Discussion

The flipped classroom instructional model has emerged as an alternative to conventional lecture-based teaching that has dominated higher education for decades. In 2013, a cohort of graduate-level public health students participated in a flipped environmental and occupational health course. We present the design, implementation, and evaluation of this course. Using data collected from a post-course survey, focus group sessions, and classroom observation, we examine student perceptions of the flipped classroom instructional model and synthesize lessons learned from flipping the classroom more broadly. Post-course survey data indicate that students had generally positive perceptions towards the flipped classroom instructional model. Four major themes emerged from the focus group data in relation to perceptions of the flipped classroom: knowledge application, content delivery, innovation, and connecting the online and in-class components. These results are promising and suggest that this approach warrants further consideration and research. Le modèle pédagogique de la classe inversée a émergé comme solution de rechange à l’enseignement traditionnel par cours magistraux qui a dominé l’éducation supérieure pendant des décennies. En 2013, une cohorte d’étudiants en santé publique aux cycles supérieurs a participé à un cours inversé sur la santé environnementale et professionnelle. Nous présentons la conception, la mise en œuvre et l’évaluation de ce cours. À l’aide de données recueillies par l’entremise d’un sondage après le cours, lors de séances de discussion en groupe et d’observation en classe, nous examinons les perceptions qu’ont les étudiants du modèle pédagogique de la classe inversée et résumons les leçons tirées qui sont pertinentes pour les cours inversés en général. Les données du sondage réalisé après le cours indiquent que les étudiants avaient des perceptions pour la plupart positives du modèle pédagogique de la classe inversée. Quatre thèmes principaux ont émergé des données du groupe de discussion relativement aux perceptions sur la classe inversée : mise en application des connaissances, diffusion du contenu, innovation et lien entre les composantes en ligne et en classe. Ces résultats sont prometteurs et suggèrent que cette approche devrait faire l’objet de plus de considération et de recherche.

Research on the Impact of Information Security Certification and Concealment onFinancial Performance

2022 ◽  
Vol 30 (3) ◽  
pp. 0-0
Keyword(s):  
Information Security ◽  
Financial Performance ◽  
Positive Impact ◽  
Rapid Development ◽  
International Standards ◽  
Corporate Decisions ◽  
Using Data ◽  
The Impact ◽  
The Relationship ◽  
Iso 27001

With the rapid development of information technology, information security has been gaining attention. The International Organization for Standardization (ISO) has issued international standards and technical reports related to information security, which are gradually being adopted by enterprises. This study analyzes the relationship between information security certification (ISO 27001) and corporate financial performance using data from Chinese publicly listed companies. The study focusses on the impact of corporate decisions such as whether to obtain certification, how long to hold certification, and whether to publicize information regarding certification. The results show that there is a positive correlation between ISO 27001 and financial performance. Moreover, the positive impact of ISO 27001 on financial performance gradually increases with time. In addition, choosing not to publicize ISO 27001 certification can negatively affect enterprise performance.

scholarly journals Adverse Selection in P2P Lending: Does Peer Screening Work Efficiently?—Empirical Evidence from a P2P Platform

2021 ◽  
Vol 9 (4) ◽  
pp. 73
Author(s):  
Yao Wang ◽  
Zdenek Drabek
Keyword(s):  
Adverse Selection ◽  
Rapid Development ◽  
Financial System ◽  
Decision Making Process ◽  
Type Ii Error ◽  
Close Attention ◽  
Large Dataset ◽  
The Past ◽  
P2p Lending ◽  
Online Lending

The rapid development of online lending in the past decade, while providing convenience and efficiency, also generates large hidden credit risk for the financial system. Will removing financial intermediaries really provide more efficiency to the lending market? This paper used a large dataset with 251,887 loan listings from a pioneer P2P lending platform to investigate the efficiency of the credit-screening mechanism on the P2P lending platform. Our results showed the existence of a TYPE II error in the investors’ decision-making process, which indicated that the investors were predisposed to making inaccurate diagnoses of signals, and gravitated to borrowers with low creditworthiness while inadvertently screening out their counterparts with high creditworthiness. Due to the growing size of the fintech industry, this may pose a systematic risk to the financial system, necessitating regulators’ close attention. Since, investors can better diagnose soft signals, an effective and transparent enlargement of socially related soft information together with a comprehensive and independent credit bureau could mitigate adverse selection in a disintermediation environment.

scholarly journals Consolidating the interactive analysis and Grid infrastructure at DESY

2020 ◽  
Vol 245 ◽  
pp. 07003
Author(s):  
Christoph Beyer ◽  
Thomas Finnern ◽  
Martin Flemming ◽  
Andreas Gellrich ◽  
Thomas Hartmann ◽  
...  
Keyword(s):  
Lessons Learned ◽  
Tier 2 ◽  
Interactive Analysis ◽  
Batch Systems ◽  
Batch System ◽  
Start Up ◽  
High Responsiveness ◽  
Primary Focus ◽  
Set Up ◽  
National Analysis

Within WLCG, the DESY site in Hamburg is one of the largest Tier-2 sites with about 18500 CPU cores for Grid workloads. Additionally, about 8000 CPU cores are available for interactive user analyses in the National Analysis Factory [NAF]. After migrating these two batch systems onto a common HTCondor based set-up during the previous four years, we recapitulate the lessons learned during the transition especially since both use cases differ in their workloads. For Grid jobs start-up latencies are negligible and the primary focus is on an optimal utilization of the resources. Complementary, users of the NAF expect a high responsiveness of the batch system as well as the storage for interactive analyses. In this document, we will also give an outlook to future developments and concepts for the DESY high-throughput computing. In the ongoing evolution of the HTC batch system, we are exploring how to integrate anonymous jobs with the batch system as back-end for Function-as-a-Service workflows as well as an option for dynamic expansions to remote computing resources.

scholarly journals Readers' Advisory: In the Readers’ Own Words: How User Content in the Catalog Can Enhance Readers’ Advisory Services

2017 ◽  
Vol 56 (2) ◽  
pp. 91 ◽  
Author(s):  
Louise F. Spiteri ◽  
Jen Pecoskie
Keyword(s):  
Case Studies ◽  
Broad Spectrum ◽  
Lessons Learned ◽  
User Generated Content ◽  
Access Points ◽  
Advisory Services ◽  
Subject Headings ◽  
The Many ◽  
Two Stages ◽  
User Content

It’s always challenging and exciting to find topics for the readers’ advisory column, and professionals willing to write for them! I’ve been so thankful to the many professionals who have so generously given their time and shared their expertise for this column. From lessons learned, case studies and differing opinions on RA and its future, it is amazing how various and rich this area of librarianship is—and how rewarding and frustrating! In an effort to continue to provide a broad spectrum of thoughts and ideas, I asked Dr. Louise Spiteri of Dalhousie University to write for this issue. Spiteri recently completed two stages of research examining subject headings and user-generated content and how these connect with RA access points. Jen Pecoskie was Spiteri’s research partner in both studies.—Editor

scholarly journals Is there a growing social acceptance of earnings inequalities in Poland?

2018 ◽  
Vol 21 (8) ◽  
pp. 79-88
Author(s):  
Paweł Kumor
Keyword(s):  
Economic Growth ◽  
Social Acceptance ◽  
Gdp Growth ◽  
Gini Coefficients ◽  
Second Stage ◽  
Economic Level ◽  
Per Capita ◽  
Using Data ◽  
Two Stages

In our studies, we deal with the estimating of the optimal ranges of earnings – the optimal Gini indexes which are favourable to the maximisation of GDP growth in Poland. We suspect that the optimal Gini coefficients expressing the whole of society’s acceptance of earnings inequalities can increase. In the article, we formulated a hypothesis on society’s habituation to increasing earnings disparities. We verified the hypothesis on the basis of the model of economic growth using data from 1970 to 2007. We carried out econometric studies in two stages. In the first stage, we estimated the optimal Gini coefficients for short subsequent sub-periods. In the second stage, we studied the character of changes in the optimal Gini coefficients. In the studies, we proved the hypothesis on society’s habituation to increasing earnings disparities. The optimal Gini coefficients increase along with the increase of differences in earnings and the increase of the economic level per capita. The growth of the optimal Gini coefficients may be slowed down.

Lighting Up the Bulb’s Station

2018 ◽  
Vol 15 (2) ◽  
pp. 117-128 ◽  
Author(s):  
Adeeb Nami ◽  
Virginia Bodolica ◽  
Martin Spraggon
Keyword(s):  
United Arab Emirates ◽  
Undergraduate Students ◽  
Food Industry ◽  
Lessons Learned ◽  
Critical Question ◽  
American University ◽  
Start Up ◽  
Predisposing Conditions ◽  
The Way

This case study follows the entrepreneurial journey initiated by a group of undergraduate students in the United Arab Emirates (UAE) and examines the decisions made and lessons learned along the way. Uncovering the intricacies of the process of business ideation, the case analyses the predisposing conditions that led to the establishment of the Bulb’s Station—a vending booth offering exclusively homemade food. A particular emphasis is placed on analysing the two major experiences that the partners had running the booth, namely, at the 2016 AUS Global Day and the 2016 UAE National Day Celebration at the American University of Sharjah (AUS). By providing detailed information regarding the type, variety, quantity and pricing of dishes on the menu, the reader is brought to estimate the extent to which the booth’s operation was successful at each of the two events. Based on prior challenges and shortcomings in adopted strategies, the partners are now confronted with the critical question of whether to turn the Bulb’s Station into a start-up company in the food industry in the UAE.

Developing prototype decadal climate prediction services

2021 ◽  
Author(s):  
Nick Dunstone ◽  
Panos Athanasiadis ◽  
Louis-Philippe Caron ◽  
Francisco Doblas-Reyes ◽  
Barbara Frueh ◽  
...  
Keyword(s):  
Large Scale ◽  
Rapid Development ◽  
Coupled Model ◽  
Climate Prediction ◽  
Lessons Learned ◽  
Decadal Climate Variability ◽  
Climate Services ◽  
Essential Information ◽  
Decadal Climate ◽  
Decadal Climate Prediction

<p>Here we present an overview of results emerging from a project to develop prototype decadal climate prediction services, funded by the EU Copernicus Climate Change Service (C3S). The field of interannual to decadal climate prediction has matured rapidly over the last ~15 years, becoming an established part of the Coupled Model Intercomparison Project (CMIP) process with multi-model decadal climate predictions made in CMIP5 and CMIP6 (DCPP MIP). It has further been highlighted by the recent creation of the WMO Lead Centre for Annual-to-Decadal Climate Prediction. Whilst these activities have led to rapid development in our understanding of decadal climate predictability and mechanisms driving global and regional annual to decadal climate variability, the creation of useful climate services on this timescale is still in its infancy.</p><p>This EU funded project was designed to start to address decadal climate services and brings together many of the key European institutions involved in decadal climate predictions from four different countries: Germany (DWD), Italy (CMCC), Spain (BSC) and the UK (Met Office). Each partner is working with a different sector: infrastructure, energy, agriculture and insurance where they have been developing a prototype decadal climate service in partnership with a user in that sector. Here we report on the progress made so far and highlight a number of key lessons learned along the way. These include the use of both large multi-model ensembles and more predictable large-scale circulation indicators in order to give skilful regional predictions of user relevant variables. We also describe the development of a common product format to present forecast information to users, this contains essential information about the current probabilistic forecast, retrospective forecast skill and reliability.</p>

Risk Evaluation in the Insurance Company Using REFII Model

2015 ◽  
pp. 748-768
Author(s):  
Goran Klepac
Keyword(s):  
Risk Factors ◽  
Data Mining ◽  
Time Series ◽  
Risk Evaluation ◽  
Time Series Data ◽  
Business Case ◽  
Risk Level ◽  
Insurance Company ◽  
Market Situation ◽  
Using Data

A business case describes a problem present in all insurance companies: portfolio risk evaluation. Such analysis deals with determining the risk level as well as main risk factors. In the specific case, an insurance company is faced with market share growth and profit decline. Discovered knowledge about the level of risk and main risk factors was not used to increase premium for the riskiest portfolio segments due to a specific market situation, which could lead to loss of clients in the long run. Instead, additional analysis was conducted using data mining methods resulting in a solution, which stopped further profit decline and lowered the risk level for the riskiest portfolio segments. The central role for the unexpected revealed knowledge in the chapter acts as the REFII model. The REFII model is an authorial mathematical model for time series data mining. The main purpose of that model is to automate time series analysis, through a unique transformation model of time series.

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