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54th Konstanz Seminar on Monetary Theory and Policy 2023 第54届康斯坦茨货币理论与政策研讨会
Q4 Social Sciences Pub Date : 2023-10-06 DOI: 10.3790/ccm.2023.01.hildebrand.stiepelmann
Sebastian Hildebrand, Gero Stiepelmann
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引用次数: 0
German FinTech Companies: A Market Overview and Volume Estimates 德国金融科技公司:市场概况和交易量估计
Q4 Social Sciences Pub Date : 2023-01-01 DOI: 10.3790/ccm.56.1.103
G. Dorfleitner, Julia Kreppmeier, Ralf Laschinger
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引用次数: 0
The Impact of COVID-19 on Demand and Lending Behavior in Prosocial P2P Lending 新冠肺炎对亲社会P2P借贷需求和借贷行为的影响
Q4 Social Sciences Pub Date : 2023-01-01 DOI: 10.3790/ccm.56.1.5
Christopher Priberny
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引用次数: 0
A Novel Default Risk Prediction and Feature Importance Analysis Technique for Marketplace Lending using Machine Learning 基于机器学习的市场借贷违约风险预测与特征重要性分析技术
Q4 Social Sciences Pub Date : 2023-01-01 DOI: 10.3790/ccm.56.1.27
Sana Hassan Imam, S. Huhn, Lars Hornu, Rolf Drechsler
Marketplace lending has fundamentally changed the relationship between borrowers and lenders in financial markets. As with many other financial products that have emerged in recent years, internet-based investors may be inexperienced in marketplace lending, highlighting the importance of forecasting default rates and evaluating default features such as the loan amount, interest rates, and FICO score. Potential borrowers on marketplace lending platforms may already have been rejected by banks as too risky to lend to, which amplifies the problem of asymmetric information. This paper proposes a holistic data processing flow for the loan status classification of marketplace lending multivariate time series data by using the Bidirectional Long Short-Term Memory model (BiLSTM) to predict “non-default,” “distressed,” and “default” loan status, which outperforms conventional techniques. We adopt the SHapely Additive exPlanations (SHAP) and a four-step ahead model, allowing us to extract the most significant features for default risk assessment. Using our approach, lenders and regulators can identify the most relevant features to enhance the default risk assessment method over time in addition to early risk prediction.
市场借贷从根本上改变了金融市场中借款人和贷款人之间的关系。与近年来出现的许多其他金融产品一样,基于互联网的投资者可能在市场借贷方面缺乏经验,这突出了预测违约率和评估违约特征(如贷款金额、利率和FICO分数)的重要性。市场贷款平台上的潜在借款人可能已经被银行拒绝,因为他们的贷款风险太大,这加剧了信息不对称的问题。本文通过使用双向长短期记忆模型(BiLSTM)预测“非违约”、“不良”和“违约”贷款状态,提出了一种用于市场借贷多变量时间序列数据贷款状态分类的整体数据处理流程,该流程优于传统技术。我们采用了SHapely Additive exPlanations(SHAP)和四步预测模型,使我们能够提取出违约风险评估的最重要特征。使用我们的方法,除了早期风险预测外,贷款人和监管机构还可以确定最相关的特征,以随着时间的推移增强违约风险评估方法。
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引用次数: 0
FinTech and the Digital Transformation in the Financial Industry 金融科技与金融业数字化转型
Q4 Social Sciences Pub Date : 2023-01-01 DOI: 10.3790/ccm.56.1.1
G. Dorfleitner, Lars Hornuf
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引用次数: 0
Towards a Theory on Dominant Business Model Emergence of Marketplace Lending in Germany 德国市场借贷主导商业模式产生的理论探讨
Q4 Social Sciences Pub Date : 2023-01-01 DOI: 10.3790/ccm.56.1.63
Sabine Pur, S. Huesig, Christoph Schmidhammer
In this paper, we analyze the business models of Germany’s biggest lending platforms smava, auxmoney, and Lendico to identify a standard business model as a dominant de-sign in this industry. We use a mixed method approach in which a case study at firm level is conducted to analyze and contrast the business models together with their business model components. This qualitative analysis is complemented with a quantitative test of their total asset annual growth rates to triangulate the qualitative analysis. The re-sults indicate that all three companies started with a similar approach but evolved over time into entirely different business model variants. This seems to contradict the previous theory of the emergence of standard business models and dominant designs. At first glance, an increasing convergence of business models over time into a standard business model in the German lending platform industry was not consistent with our results. However, we suggest to explain this contradiction by taking a closer look at the global context of the industry. The origin of lending platforms was pioneered outside the German market by firms such as Zopa (UK) or later Prosper and Lending Club (USA). We hypothesize based on initial evidence that the German lending platforms have largely adopted the business models of the early movers and later modified them according to their local value network such as local market, regulation, and competition conditions. Thereby we propose that the deficient standard business model as a dominant design or a winner takes all market outcome in the lending platform industry might depend on localized demand and regulative heterogeneity.
在本文中,我们分析了德国最大的贷款平台smava、auxmoney和Lendico的商业模式,以确定标准商业模式是该行业的主导设计。我们使用混合方法,在公司层面进行案例研究,分析和对比商业模型及其商业模型组件。这种定性分析辅以对其总资产年增长率的定量测试,以对定性分析进行三角测量。结果表明,这三家公司一开始都采用了类似的方法,但随着时间的推移,它们演变成了完全不同的商业模式变体。这似乎与之前关于标准商业模式和主导设计出现的理论相矛盾。乍一看,随着时间的推移,德国贷款平台行业的商业模式越来越趋同为标准商业模式,这与我们的结果不一致。然而,我们建议通过更仔细地观察该行业的全球背景来解释这种矛盾。贷款平台的起源是由Zopa(英国)或后来的Prosper and lending Club(美国)等公司在德国市场之外开创的。我们根据初步证据假设,德国贷款平台在很大程度上采用了早期推动者的商业模式,后来根据其当地价值网络(如当地市场、监管和竞争条件)对其进行了修改。因此,我们提出,作为借贷平台行业主导设计或赢家通吃市场结果的标准商业模式的缺陷可能取决于本地化需求和监管异质性。
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引用次数: 0
Central Bank Digital Currency and Cash in the Euro Area: Current Developments and one Specific Proposal 欧元区的中央银行数字货币和现金:当前的发展和一个具体建议
Q4 Social Sciences Pub Date : 2022-10-01 DOI: 10.3790/ccm.55.4.523
Gerhard Rösl, F. Seitz
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引用次数: 1
Modern Monetary Theory, Fiscal Dominance and the European Central Bank 现代货币理论、财政优势与欧洲中央银行
Q4 Social Sciences Pub Date : 2022-10-01 DOI: 10.3790/ccm.55.4.431
A. Prinz, H. Beck
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引用次数: 0
Taking Money Seriously and Putting it Back into the Feldstein-Horioka Saving-Investment Nexus 认真对待金钱,把它放回费尔德斯坦-堀冈储蓄-投资的关系
Q4 Social Sciences Pub Date : 2022-10-01 DOI: 10.3790/ccm.55.4.489
Kam Hon Chu
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引用次数: 0
The EFA Annual Meeting 2022 in Barcelona, Spain, and the Ascension of New Topics from a European and a German View 2022年在西班牙巴塞罗那举行的全民教育年会,以及欧洲和德国视角下新话题的提升
Q4 Social Sciences Pub Date : 2022-10-01 DOI: 10.3790/ccm.55.4.553
Wolfgang Breuer
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引用次数: 0
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