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    Credit supply to businesses and consumers is essential to economic growth, and credit risk management is integral to this process. Credit scoring is the main tool for financial institutions to implement credit risk management, and credit rating is an important element of financial services for the bond market and financial liberalisation. While financial technology has led to continuous innovation in global financial models, the pandemic of COVID-19 has had a significant impact on the world economy and credit risk. Under this background, we will hold the 2nd Credit Scoring and Credit Rating conference (CSCR II) in Ningbo, Zhejiang, China on 14-16 October 2022. With the theme of Green Finance and Smart Credit, the conference explores innovative mechanisms for credit risk management and discusses the direction of the credit research field. The conference welcomes experts and academics from the banking industry, corporate finance, consumer finance, bond and credit derivatives markets, financial technology, credit bureaux, credit services & agencies, and other related fields to discuss and share research findings related to credit scoring, credit rating and credit asset risk management. The conference focused particularly on the applications of novel data mining and machine learning algorithms to risk prediction and green finance.

    Green Finance and Smart Credit

    实体经济的信贷供给是经济发展的关键动力,信用风险管理在这一流程中不可或缺。信用评分是金融机构实施信用风险管理的主要工具,信用评级是资本市场金融服务和金融开放的重要内容。在金融科技带动全球金融模式不断创新的今天,新冠疫情却对世界经济和信用风险造成了显著影响。在此背景下,第二届“信用评分与信用评级会议” (CSCR II) 将于 2022 年 10 月 14-16 日在宁波诺丁汉大学召开。本次会议以Green Finance and Smart Credit为主题,探讨信用风险管理的创新机制,讨论信用研究领域的发展方向。会议欢迎来自银行业、公司金融、消费金融、债券和信贷衍生品市场、金融科技、征信机构、评级机构、信用信息服务机构等方面的专家和学者一起讨论交流,分享与信用评分、信用评级和信贷资产风险管理相关的研究成果。此次会议特别关注新颖的数据挖掘和机器学习算法在风险预测和绿色金融上的应用。

  • Call for papers

    Papers and presentations addressing the following issues would be particularly welcome.

    欢迎以下主题的研究进行分享

    Topics

    • Green loans, green bonds and ESG rating
    • COVID-19 ancredit risk
    • Credit economics and credit supply
    • Financial institution regulation and the BASEL accord
    • LGD/EAD modelling and IFRS
    • Portfolio credit risk management
    • Credit rating and analysis
    • Corporate bond pricing and risk forecasting
    • Risk assessment of small and micro businesses
    • Corporate bankruptcy/financial distress prediction
    • Economic capital estimation and stress testing
    • Markov chain & survival analysis dynamic modelling
    • Profit scoring and risk-based pricing
    • Propensity, retention and attrition scoring
    • Fraud and collections scoring
    • Reject inference
    • ML/AI in finance
    • Big data/alternative data in risk management
    • Social Credit Systems
    • Other credit-related topics

    会议主题

    • 绿色信贷、绿色债券和ESG评级
    • 新冠疫情与信用风险
    • 信用经济与信贷供给
    • 金融机构监管与巴塞尔协议
    • LGD/EAD建模和IFRS会计准则
    • 组合信用风险管理
    • 信用评级和分析
    • 债券定价与债券风险
    • 小微企业风险评估
    • 企业破产和财务危机预测
    • 银行经济资本估计和压力测试
    • 马尔可夫链和生存分析动态模型
    • 利润评分和风险定价
    • 客户偏好和流失预测
    • 欺诈预警和催收评分
    • 拒绝推断
    • 机器学习和人工智能在金融中的应用
    • 大数据和替代数据在风险管理中的应用
    • 社会信用体系
    • 其他信用相关研究
  • Latest information

    最新消息

    # Announcement 会议预报 @ 3 January 2022

    We are happy to announce that the 2nd Credit Scoring and Credit Rating conference will be held by the University of Nottingham Ningbo China (UNNC) in a hybrid style with a physical location at the UNNC campus in Ningbo China and online streaming of sessions for the international audience. More information will be followed. Please sign up for updates.

    我们很高兴宣布第二届“信用评分与信用评级会议”将于2022年10月14-16日由宁波诺丁汉大学承办。会议将设线上和线下混合研讨,线下研讨在中国宁波,线上研讨在网上进行。未来我们将持续更新会议信息,敬请关注。

  • Publication Opportunity

    期刊发表机会

    CSCR II Publication opportunities will be announced soon.

  • Important Dates

    重要日期

    1

    14.06.2022

    Submission Deadline

    论文提交

    2

    14.08.2022

    Acceptance Notice

    录用通知

    3

    1.10.2022

    Registration Deadline

    注册截止

    4

    14-16.10.2022

    Two-day Conference

    会议召开

    5

    14.1.2023

    Paper Submission

    期刊投稿