中国股票市场多标度分形特征的实证研究

混沌和分形是自然系统和社会经济系统中广泛存在的一种非线性现象。近年来许多国外学者通过对汇率、股票收益率、黄金价格等金融市场实证数据的分析，发现了这些数据所具有的另一种重要的非线性特征——多标度分形(Multifractal)特征。通过对中国股票市场的代表数据(上海证券交易所综合股价指数和深圳证券交易所成份股价指数)的实证研究得出类似的结论，并就金融市场多标度分形特征发现的重大意义作出评述与展望。     

参差赋权:人工智能技术赋权的基本形态、潜在风险与应对策略

参差赋权作为人工智能时代技术赋权的基本形态,揭示了人工智能对党政部门、社会媒体与公众、技术生产部门三大主体赋权过程及其结果的不均衡性特征.这种非均衡性的扩张和深化可能会导致社会遭受"技术利维坦"、"信息茧房"与"公民离散"、"技术鸿沟"相互叠加的社会风险.基于此,从技术发展的阶段性以及参差赋权的特征来看,防止参差赋权风...     

我国大额支付系统中的流动性风险

提出支付系统流动性风险管理的新方法,并使用芬兰银行的BoF-PSS2模拟软件对我国大额支付数据进行实证分析,通过研究存款准备金率与支付系统流动性需求的关系,以及在支付系统中引入优化算法对流动性需求和系统效率的作用,论证新的风险管理方法的可行性.实证结果表明随着存款准备金率的不断上调,支付系统中的参与者面临越来越大的流动性需求压力.而引入优化算法可以降低参与者对流动性的需求并且提高系统的效率.因此中央银行可以在加强监管、要求参与者提供抵押并在当天末归还全部日间信贷等条件下向参与者提供流动性,并且引入优化算法,应用新的风险管理方法来有效管理支付系统中的流动性风险.     

高价车内部分保系统及实现

为满足各级公司对高保额机动车辆险的风险分散需求,又要尽可能保住该类优质业务的利润,利用中国人保公司整体优势,通过IT技术自动实现高价车内部分保。运行2年,该类车保费年增幅平均达89%,每年可节省上百万的分保利润。该系统适合在有相当多规模不大的子公司,但整体有一定规模的财产保险公司中运用。     

白象山铁矿东西大巷突水风险模糊综合分析与评价

在综合分析白象山铁矿突水风险影响因素的基础上,运用模糊数学方法,建立了矿区突水风险评价的模型,对突水风险进行了分区综合评价,绘制了白象山铁矿矿区东西大巷纵剖面突水风险分区评价图,并对评价结果进行了分析。     

考虑风险偏好的项目投资风险属性数学决策模型研究

在分析传统属性数学评价模型存在的缺陷基础上,把投资者风险偏好分为喜好风险型、厌恶风险型和一般风险型等三类,引入风险偏好系数这一变量,构建了具有风险偏好的项目投资风险属性数学决策模型。     

考虑偏度风险和峰度风险的非线性期货套期保值模型

期货市场中,不仅存在方差风险,还存在偏度风险和峰度风险。但是现有的期货套期保值模型研究基本都是建立在方差风险基础上的,并没有考虑偏度风险和峰度风险对于套期保值的影响。针对现有研究的这一共同问题,本文以负指数效用函数为决策函数,提出了考虑偏度风险和峰度风险的非线性期货套期保值模型,并以原油的套期保值为例,讨论了偏度风险和峰度风险对于期货套期保值模型的影响。     

F#-Time, Functions and Processes: Towards Sustainable Investment Risk Benchmarks

‘I made a mistake’: Alan Greenspan (Financial Times: Alan Beattie and James Politi: Washington, 23rd October 2008). Such are the words of great men, for even in troubled times their self-effacing manner provides useful guidance. Whilst Mr Greenspan may feel this way, he is a product of his environment, one that has seen the cumulative development of financial instruments and strategies that have not been thought through as to their impact on a complex economy. Mainly this is because risk is thought to be discrete and the methods used to price it are flawed. To an engineer the control of a machine is built-in. Although the economy is not a machine, but an intensely connected complex of ever emerging businesses, the process of control needs to be structured in a similar manner. Pricing investment risk in this environment should never have been left to opaque institutions, or processes that do not recognise the co-dependencies of business and systemic functionality. To do so is to ignore the correlation of events in a highly connected world. These events are dynamic and conditional, whose outturns are unknowable. This does not mean unmanageable, but that the control process be built-in to businesses and government in a consistent manner, transparent yet using different parameters. Transparent means that data, assumptions and processes need to be monitored and published in timely manner. As far as accounting for results is concerned it should be recognised that budgeting and reporting to investors is founded on dynamic processes that are therefore changeable; usually out of date; and co-dependent upon others within a complex dynamic network that is both internal and external to the business. The works of Stafford Beer (Brain of the Firm, Heart of the Enterprise, Diagnosing the System) Fredrick Vestor (The Art of Interconnected Thinking) and others are examples of how to manage the internal dynamics of a business and point to a methodology that synthesises the approaches of investors such as Warren Buffett so that extreme outcomes such as the Credit-Crunch 2008 can be reduced in frequency but investors are free to ‘take their risks’. This research aims to compare two extreme events in the financial arena, the ‘Reinsurance Spiral of the late 1980s’ and the ‘2008 Credit-Crunch’, show their commonalities and propose methods that supply liquidity in all but gross systemic failure and allow investment risk to be more ably assessed and priced. It is not meant to be an exhaustive analysis but one focused on how ignoring the proper relationship of time, functions and processes brought about the current problem in both insurance and the capital markets and how a solution may be found. This research note offers an overview on the ongoing PhD research on the topic.

基于风险的半定量SDG-HAZOP的研究

SDG-HAZOP是一种定性的系统危险辨识过程,分析预测出化工过程中存在的所有事故及其原因,忽视了事故发生的可能性及其后果的分析,虽然具有完备性,但是其分析结果数目多。针对这个问题,提出了一种基于风险的半定量的SDG-HAZOP方法,对SDG-HAZOP的分析结果进行风险排序,为安全管理决策提供依据。     

信用卡透支收益研究

信用卡业务是一种以"高风险、高收益"为特点的创新金融业务.具有信用风险的透支业务是其主要利润来源.本文基于对信用卡透支收益与成本分析,提出要提高信用卡透支收益水平,就需要降低透支收益融资成本,建立个人信用综合评价,提高透支安全性和回收比率,并建立信用累计制度和透支利率激励模型促使持卡人透支基数扩大,并为发卡银行作出综合贡献.