奈特不确定下考虑通胀和机制转换的最优消费投资研究

研究了在奈特不确定和通胀的情形下,股票的预期收益率服从Markov链的跨期消费和资产选择问题.假设具有递归多先验效用的投资者拥有一个不可观测的投资机会的先验集,再借助Malliavin导数和随机分析求解了投资者最优消费投资策略的显式表达式.通过数值模拟分析,我们发现不完备信息下的连续Bayes修正产生了能够削减跨期对冲需求的含糊对冲需求,且含糊厌恶和通胀波动率增大了最优投资组合策略中对冲需求的重要性,阐明了股票是否考虑通胀对投资比例及消费比例的影响.     

消费篮子价格部分可观察下带通胀与红利支付的最优消费投资问题研究

考虑消费篮子价格部分可观察下通胀与红利支付对投资者最优消费投资的影响,利用HJB方程推导最优消费投资策略,给出由三基金组成的修正的互助基金定理.在不变相对风险厌恶(CRRA)效用的特殊情形下,得到最优消费投资策略的显式解.     

奈特不确定下带高水印激励费的对冲基金最优投资问题研究

研究了风险资产价格具有Knight不确定下对冲基金管理者的最优投资决策问题。对冲基金管理者以获得的终端费用(包括管理费和业绩费)预期效用的最大化为目标,此时风险资产受 G-布朗运动干扰。然后通过非线性期望下随机分析和随机动态规划方法,推导出带有特定边界条件值函数的 G-HJB方程,得出相应的基金管理者最优投资组合策略。     

考虑红利支付和随机波动的确定缴费型养老金最优投资策略

为研究红利支付和随机波动情形下确定缴费型养老金的最优投资问题,假设:(1)金融市场有2种资产,即无风险资产(银行存款)和风险资产(股票),且养老金计划的基金投资在这2种资产上;(2)风险资产的方差服从Heston模型,且考虑了风险资产(股票)所得的红利收入。通过随机控制原理,在指数效用函数情形下获得DC型养老金最优投资的显式解,从而得出其最优投资策略为:红利率越大,相同的养老金财富水平在股票上的投资比例越大;在一定范围内,通胀波动率的增加使得投资者追加对股票的投资,但当通胀波动率较大时,投资者反而减少对股票的投资。     

对冲基金小介

作为一种机构投资者,对冲基金(Hedge funds)是指一种为避税或躲避国内监管而投资于国际资本市场的私人投资基金。在美国,对冲基金主要以私募方式向投资人募集基金股份,基金管理人的收入与基金业绩挂钩,按1%的管理费再加20%的投资回报取得收入。大多数对冲基金要求股东在希望撤股时予以提前通告。与其他机构投资者相比,对冲基金的特点是通常采取一种更加“积极”的战略投     

神秘的对冲基金

我们目前所说的对冲基金,一般是指一种合伙人制的小型私人投资公司,主要投资于公开交易的证券和衍生金融产品。在美国,对冲基金主要以私募方式向投资人募集基金股份。美国证券交易委员会(SEC)限制每个对冲基金的合伙人不超过500个(但美国以外的对冲基金并不限制合伙人的数量),投资者个人必须拥有500万美元以上的证券资产。由于限制合伙人的数量和个人入股投资的起点高,对冲基金基本上是一种富人的投资俱乐部。     

通胀环境下考虑红利支付和最低保障的确定缴费型养老金最优投资

主要研究了通胀环境下带有红利和最低收益保障的确定缴费(DC)型养老金计划的最优投资问题.首先,应用伊藤公式得到通胀折现后的真实财富过程;然后,在DC型养老金计划终端财富内部保障约束下,即终端财富始终超过最低收益保障,考虑通胀环境下的退休时刻终端财富期望效用最大化问题,应用HJB方程推导得到了退休前任意时刻DC型养老金计划最优投资策略的显式解;最后给出算例,分析了不同参数对最优投资策略的影响,为DC型养老金计划投资者提供更有效的策略.     

金融大鳄乔治·索罗斯的传奇人生与投资哲学

近期,华尔街一则短讯引起全球关注。曾经叱咤风云的对冲基金大鳄乔治·索罗斯（George Soros）正式宣布退休。旗下的索罗斯基金管理公司将会在年底之前,返还外部投资者近10亿美元的投资现金。随后,索罗斯之子在一封致投资者的信中解释了索罗斯很快将退休的原因：根据最新的金融监管规定,索罗斯基金必须在2012年3月份以前向美国证券交易委员会登记,否则就不能继续为外部投资者管理资产。而自2000年以来,该基金一直都主要管理索罗斯家族的资产,因此他们认为将该基金作为一个家族办事处来进行运营更有意义。《金融时报》评论道：＂最成功的一位对冲基金经理,终于走到了对冲基金生命周期的终点。80岁高龄的乔治·索罗斯（George Soros）不想再为美国对冲基金新法规伤脑筋。在成立38年之后,他的量子基金开始将投资者拒之门外,从今以后将只管理家族财产。＂＂任何委托过索罗斯管理资金的人士都会为此感到悲哀。他把1973年的10万美金变成了今天的超过1亿美金,平均每年增长20%。不计通胀的总回报率约为102000%。＂＂多年来他一直是地球上最富有的人士之一,《福布斯》（Forbes）估计他目前的身家有145亿美元,排名全球第46位。＂结束其40年的对冲基金经理生涯,意味着＂索罗斯时代＂走向尾声。这无论对于索罗斯本人,还是全球金融界而言,都是一个具有时代标志性的事件。回顾索罗斯的传奇人生,梳理其独特的投资哲学,将有助于我们更好地理解,20世纪以来金融经济的发展脉络及内在规律。     

考虑损失厌恶的最优消费投资决策

行为金融文献表明,投资者效用既取决于消费,又取决于其持有的金融资产的价值变化.基于上述两点,研究了最优消费投资问题.将行为金融学中投资者损失厌恶这一重要心理纳入经典效用函数,给出了基于消费和风险资产价值变化的目标效用函数,建立了考虑投资者损失厌恶的最优消费投资模型,运用动态规划原理得到了最优消费和投资问题的值函数及最优消费投资策略.最后以一个两期最优消费投资算例说明该模型的应用.因考虑了投资者实际决策心理,建立的最优决策模型是对投资者实际决策行为的良好描述,由此得出的最优消费投资策略也可以更好地指导投资者消费投资行为.     

基于通货膨胀和损失厌恶的DC养老金最优投资

主要研究了通货膨胀和损失厌恶下的DC养老金的最优投资问题.首先,应用伊藤公式得到通胀折现后真实股票价格的微分方程.然后,在前景理论的框架下,考虑通胀环境下的退休时刻终端财富期望效用最大化问题,应用鞅方法推导退休前任意时刻DC养老金最优投资策略的显式解.最后,应用蒙特卡洛方法对结果进行敏感度分析,分析损失厌恶对DC养老金最优投资策略的影响.     

Markedness and its Interpretation in Language Use

Language markedness is a common phenomenon in languages, and is reflected from hearing, vision and sense, i.e. the variation in the three aspects such as phonology, morphology and semantics. This paper focuses on the interpretation of markedness in language use following the three perspectives, i.e. pragmatic interpretation, psychological interpretation and cognitive interpretation, with an aim to define the function of markedness.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

Features of Women's language

Language is a means of verbal communication. People use language to communicate with each other. In the society, no two speakers are exactly alike in the way of speaking. Some differences are due to age, gender, statue and personality. Above all, gender is one of the obvious reasons. The writer of this paper tries to describe the features of women＇s language from these perspectives： pronunciation, intonation, diction, subjects, grammar and discourse. From the discussion of the features of women＇s language, more attention should be paid to language use in social context. What＇s more, the linguistic phenomena in a speaking community can be understood more thoroughly.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

低渗透非均质砂岩油藏启动压力梯度研究

理论推导与室内实验相结合,建立了低渗透非均质砂岩油藏启动压力梯度确定方法。首先借助油藏流场与电场相似的原理,推导了非均质砂岩油藏启动压力梯度计算公式。其次基于稳定流实验方法,建立了非均质砂岩油藏启动压力梯度测试方法。结果表明:低渗透非均质砂岩油藏的启动压力梯度确定遵循两个等效原则。平面非均质油藏的启动压力梯度等于各级渗透率段的启动压力梯度关于长度的加权平均;纵向非均质油藏的启动压力梯度等于各渗透率层的启动压力梯度关于渗透率与渗流面积乘积的加权平均。研究成果可用于有效指导低渗透非均质砂岩油藏的合理井距确定,促进该类油藏的高效开发。     

On Tragic Consciousness In The Works By Ernest Hemingway

As an American modern novelist who were famous in the literary world, Hemingway was not a person who always followed the trend but a sharp observer. At the same time, he was a tragedy maestro, he paid great attention on existence, fate and end-result. The dramatis personae's tragedy of his works was an extreme limit by all means tragedy on the meaning of fearless challenge that failed. The beauty of tragedy was not produced on the destruction of life, but now this kind of value was in the impact activity. They performed for the reader about the tragedy on challenging for the limit and the death.     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to