基于W-SVM的民营环保企业信用风险预警模型

2019年中国绿色债券发行量依旧稳居世界前列,成为民营环保企业重要融资渠道,但是2018年至今,大量环保企业信用风险事件频发为我们敲响了警钟,构建合适的民营环保企业信用风险预警机制迫在眉睫.环保产业属于新兴产业,并以国有企业为主导,民营企业的样本数据具有样本量小,维度高等特征,这导致传统的信用风险模型适用性不强.因此选用加权支持向量机模型,对不同类别样本采取不同权值,选取大量财务特征,最终构建出风险预警模型．研究发现加权支持向量机模型具有十分优秀的预警性能.环保企业本身具有资金回收周期较长并且项目前期投入较高等特点,建议加强财务管理,保障资产流动性,建立完善产业链.     

Birnbaum‐Saunders autoregressive conditional range model applied to stock index data

This article proposes a new approach to the conditional autoregressive range (CARR) model using the Birnbaum‐Saunders (BS) distribution. The model aims to develop volatility clustering, which incorporates extreme fluctuations, using a time‐varying evolution of the range process called the BSCARR model. Furthermore, diagnosis analysis tools for diagnosis analysis were developed to evaluate the goodness of fit, such as residual analysis, global influence measures based on Cook's distance, and local influence analysis. For illustrative purposes, three real financial market indices are analyzed. A comparison with classical CARR models was also carried out in these examples. The results indicated that the proposed model outperformed some existing models in the literature, especially a recent CARR model based on the gamma distribution even under the presence of atypical cases (observed values).     

Incomplete financial markets model with nominal assets: Variational approach

We deal with the analysis of the general equilibrium model with incomplete financial markets and nominal assets. We assume that there are 2 periods of time, say today and tomorrow. We define a consumption, portfolio holding, commodity and asset price vector as an equilibrium vector associated with a given economy if at those prices and economies households maximize utility under a budget constraints and markets clear. While the path breaking proofs of existence by Cass [6] and Werner [25] use a fixed point argument, we provide an independent existence proof in terms of variational inequalities (about the variational approach for the analysis of general equilibrium models see for example [9] and [10]). The analysis presented in this paper indicates that the variational inequality approach promises to be applicable in many specifications of the incomplete market model.     

基于混沌理论的金融系统稳定性研究

运用混沌理论,研究了金融系统稳定性问题.首先,通过理论分析得出金融系统的稳定性主要受金融创新、金融监管以及投资者的非理性行为三方面的因素共同影响;其次,借助混沌动力学中的Lo-gistic模型,从模型分析与数值模拟两个方面,对金融创新与金融监管这两个主要因素如何影响金融系统稳定性展开了深入的研究.最后,提出了当前在进行金融创新的同时,须加强金融创新与金融监管的协调发展,以保障金融系统稳定、有序运行,进而为经济社会的发展营造一个良好的金融环境.     

A knowledge based approach to loss severity assessment in financial institutions using Bayesian networks and loss determinants

Modelling loss severity from rare operational risk events with potentially catastrophic consequences has proved a difficult task for practitioners in the finance industry. Efforts to develop loss severity models that comply with the BASEL II Capital Accord have resulted in two principal model directions where one is based on scenario generated data and the other on scaling of pooled external data. However, lack of relevant historical data and difficulties in constructing relevant scenarios frequently raise questions regarding the credibility of the resulting loss predictions. In this paper we suggest a knowledge based approach for establishing severity distributions based on loss determinants and their causal influence. Loss determinants are key elements affecting the actual size of potential losses, e.g. market volatility, exposure and equity capital. The loss severity distribution is conditional on the state of the identified loss determinants, thus linking loss severity to underlying causal drivers. We suggest Bayesian Networks as a powerful framework for quantitative analysis of the causal mechanisms determining loss severity. Leaning on available data and expert knowledge, the approach presented in this paper provides improved credibility of the loss predictions without being dependent on extensive data volumes.     

基于Hilbert-Huang变换的金融收益政策风险因子识别方法

针对政策可能对金融收益产生风险问题,提出了基于Hilbert-Huang变换方法的政策风险因子识别检测方法。通过经验模态分解,Hilbert-Huang频谱分析得到金融时间序列的时域和频域特征,通过与量化处理后的政策进行匹配得到政策产生的异常波动情况,从而实现对政策因子风险的识别与处理。研究结果对于探究宏观政策对金融收益的影响具有重要参考意义。最后以国家房地产调控政策与地产指数为算例,发现本研究提出的方法识别精度高,具有非常好的应用前景。     

世界经合组织金融素质测量工具的实用性评估——基于甘肃省辖集中连片特殊困难地区实地调查

为了推进国家间国民金融素质比较研究,世界经合组织(OECD)构建了标准化的跨国金融素质测量工具,目前该工具已被30多个国家采信,对于后发国家具有重要的借鉴意义。然而,金融素质是高度情境化的构念,测量工具的情境化是保证测量结果稳健可靠的必要环节。为此,本文实施了针对该工具措辞和计分体系的实用性调查,此次调查的对象分别为相关领域专家和甘肃省辖集中连片特殊困难地区农户,旨在为该工具中国化的路径选择提供佐证。调查结果显示,对于受访农户而言,该工具中“通货膨胀的认知”等5个问题的措辞过于复杂,需要进一步修正;不同类型专家对该工具各构成要件的重要性评估未形成一致意见,需要进一步探寻上述差异产生的原因及其可能的弥合方式。     

职工长期护理保险筹资责任分担动态调整机制研究——以青岛市为例

针对青岛市职工长期护理保险面临的筹资责任优化及财政补贴动态调整问题,本文以灾难性支出发生率为参照指标,结合适度保障理论,首先构建了目标保障水平测算模型;进而构建了职工长期护理保险筹资责任分担动态调整机制系统动力学模型。通过仿真实验,测算了保障范围扩大过程中筹资责任分担动态调整情况,得出了一系列有政策参考价值的调整结果。     

金融发展对我国出口产品质量的非线性异质影响研究

中国出口产品往往面临量高而质低的困境,这直接导致了我国产品在国际市场上往往只能定位在较低的价格。本文使用2000-2006年中国工业企业数据库和海关数据库匹配所得的微观数据,从产品层面出发测算企业出口产品质量,结合行业层面间接融资渠道测度的金融发展指标,运用非参数分位数面板研究发现:(1)金融发展对出口产品质量存在非线性异质影响且影响模式显著不同,在高分位处呈现“倒N型”特征;(2)在不同分位点处存在差异化的最优金融发展水平,并随分位点下降而降低;(3)非东部地区、高技术产品的质量对金融发展的敏感程度更高,而对低分位产品质量促进作用更大。本文结论表明,区域金融发展宏观调控应考虑到企业自身产品质量水平影响。     

大连商品交易所大豆一号合约动态保证金研究

大连商品交易所大豆一号期货合约长期实行静态的保证金制度,但在国际期货市场中动态保证金制度是未来的发展趋势。国内目前缺乏对于大豆期货保证金制度的深入研究,在估计期货收益波动率时也没有使用滚动测算的思想。从基于GARCH和EGARCH两种模型、T分布和NORMAL两种分布假设的四种保证金设定方法,以及大豆一号合约收益数据的实证结果来看,大豆一号现行的静态保证金制度已不适应市场发展,保证金比例总体偏高,但在市场剧烈波动时又略显不足,综合考虑准确性和效率,以及投资者的交易成本EGARCH-T是最佳的保证金计算方法。