论证券投资组合的风险分散效应与应用

证券投资风险分为系统风险和非系统风险,其中非系统风险可以通过多种证券投资组合分散和降低。投资组合分散风险的原理在现代金融市场得到了广泛应用,尤其是基金管理公司做基金投资。在证券投资组合程序中,证券组合数量的选择尤其重要,关系到证券管理费用以及投资组合的成本的高低。通过单指数模型分析投资组合风险分散原理及其应用,并综合考虑投资组合成本,分析基金重仓股数量为10的原理,以及基金证券数量为30-100对于基金投资风险分效果最佳。     

公募基金年末业绩追逐与风险调整行为研究

本文研究了我国公募基金追逐年末业绩对其风险调整行为的影响以及公募基金提高投资组合风险对业绩表现的影响,探讨了公募基金对高风险的追求是否能够带来更好的年末业绩.研究发现,前三季度表现较差的公募基金、资金净流入量较大的公募基金倾向于在最后一个季度提高投资组合的风险;而公募基金在最后一个季度提高投资风险的策略并不能够显著改善其年终业绩表现.     

股指期货在我国开放式基金风险控制中的作用

我国开放式基金面临的最大风险是股市系统性风险和流动性风险。股指期货在开放式基金的风险管理中既规避其市场系统性风险,又控制其流动性风险。同时,股指期货具有资产配置功能,对优化基金投资组合,提高投资收益率起到不可替代的作用。     

建立养老基金投资绩效评价体系

养老基金积累了庞大的资金规模,大量的养老基金进入金融市场进行投资管理,实现养老基金的保值增值。养老基金投资收益绩效评价,是客观科学评价养老基金政策效率、投资运营、委托人权益保护、社会监督效果的前提。根据养老基金投资的风险收益特征,在构建养老基金投资组合选择理论模型及其资产定价理论模型基础上,可以系统构建养老基金投资绩效评价有关的基金分类方法和标准、业绩基准、风险调整收益分析模型、归因分析模型,形成相对完整的养老基金投资绩效评价体系。     

经理能力指标--基金管理者经营业绩评价

投资基金的经营状况受内外环境诸多因素的影响，剔除投资无法把握的因素对基金业绩的影响之后，评价基金业绩的实质就是分析基金的风险类型和管理控制投资组合风险、获取投资收益的能力。本利用多种模型分析基金管理的选股能力和择时能力。     

投资对冲基金的几个问题及建议

相对于传统的股票,债券等投资工具而言,对冲基金作为一种另类的投资产品,由于其丰富的投资策略和较高的投资收益,逐渐成为广大投资者所接受的投资选择。一般而言,在将一种新的风险资产加入到投资组合中时,由于各种风险资产的收益总不是完全正相关的,投资组合的风险在既定的收益下总会或多或少的降低。对冲基金相对于其它的投资工具有其自身的特殊性,收益-方差分析法对冲基金加入到投资组合中往往会导致投资结果的不理想。     

国外房地产投资组合风险分散化文献综述

20世纪70年代起,房地产开始成为许多大型基金的投资领域,随之而来的投资风险规避和分散也成为了当前基金投资的重点关注问题。自此,许多研究者开始尝试寻求评估房地产投资组合风险的方法。这些研究主要集中在一个方面:房地产投资组合的风险分散化策略。本文试图对房地产投资组合的相关文献进行综合叙述,希望能为国内学者在房地产投资组合分散化方面的研究提供线索和框架。     

什么是证券投资基金

证券投资基金是指基金发起人通过发行基金券（受益凭证）,将投资者分散的资金集中起来,交由基金托管人保管,并通过基金管理人从事股票、债券等金融工具投资,是一种利益共享、风险共担的集合证券方式。其道理是,汇集许多小钱凑成大钱,交给专家或专业机关进行管理,通过多元化的投资组合,追求风险的最小化和利润的最大化。其最大特点是专家理财和组合投资。证券投资基金是一种较为安全的投资工具,和股票、债券一样,从发行、上市到交易、运作,都是按法律法规进行的。例如,成立基金要经过严格审批;基金管理人员运用发行基金募集到的…     

论我国证券投资基金风险与防范

主要研究证券投资基金的风险和对其防范规避的问题。通过各种渠道对基金发展历程作了简要的介绍,列出了从基金成立到如今存在的各种可能的风险,并对各种风险作了较为详细的分析。通过马可维兹的投资组合理论简要说明了规避投资风险的方法与措施。在风险规避方面,针对我国目前的证券投资市场及基金管理现状,分别从机制的创新、流动性、基金管理的角度提出了一些见解和方法。     

大学生证券投资与教育投资模型分析

通过定义教育、股票与基金等三种大学生课余投资的收益率与风险,利用模型计算出最优组合。针对Markowitz投资组合模型中协方差未知的情况,先后利用两基金分离定律与区间数模糊投资组合模型进行求解,最后探讨其可行性与适用性。     

Does it Really Hurt to be Responsible?

Prior literature on socially responsible investment has contended that excluding “sin stocks” from a portfolio (negative screening) will reduce performance and increase risk. Further, incorporating stocks of firms with positive social responsibility scores (positive screening) will improve performance and reduce risk. We simulate portfolios designed to mimic typical equity mutual funds’ holdings and investigate these propositions. We remove the potentially confounding influences of differences in manager skill, transaction costs and fees, and conduct a clean experiment on the effect of positive and negative portfolio screening. We find no difference in the return or risk of screened and unscreened portfolios. We conclude that a typical socially responsible fund will neither gain nor lose from screening its portfolio.     

Managerial Sharing,Mutual Fund Connections,and Performance

In this study, we examine the effect of mutual fund connections, through managerial sharing, on performance and stock holding commonalities. Our analysis of return correlations and portfolio holdings indicates that more interconnected funds tend to buy and sell similar stocks, hence increasing the similarity of portfolio holdings and undermining the distinctiveness of their investment strategy. Our results also indicate that highly connected funds significantly underperform weakly connected funds by about 1.4% on a yearly risk‐adjusted basis. We show that fund family performance is unaffected by the intensity of fund connections, and that greater fund connections could significantly enhance family‐level profit margins.     

新型监管政策下我国保险资金的资产配置研究——基于大类资产监管和“偿二代”的政策背景

近年来我国保险资金运用监管开始实行“放开前端、管住后端”的政策理念,在前端实行的是资产大类监管政策,在后端实行的是“偿二代”政策。在此新的政策背景下,保险公司如何优化投资结构是一项非常重要的问题。考虑到我国保险业实际监管政策内容,以投资组合的风险最低资本的最小化为优化目标,以大类监管政策中的投资比例限制为约束条件,建立了一个新的投资组合模型,用来计算出各种最优投资组合比例。研究结果表明：在新监管政策下,协议存款、基础设施和不动产的理论配置比例较高, 债券类投资和权益类投资的理论配置比例较低。与理论投资比例相,债券类产品的实际投资比例偏高,而不动产类投资品的实际投资比例偏低,所以我国保险资金在今后的大类资产配置中,应当降低债券的投资比例,适当提高不动产的投资比例。     

Do Socially Responsible Fund Managers Really Invest Differently?

To date, research into socially responsible investment (SRI), and in particular the socially responsible investment funds industry, has focused on whether investing in SRI assets has any differential impact on investor returns. Prior findings generally suggest that, on a risk-adjusted basis, there is no difference in performance between SRI and conventional funds. This result has led to questions about whether SRI funds are really any different from conventional funds. This paper examines whether the portfolio allocation across industry sectors and the stock-picking ability of SRI managers are different when compared to conventional fund managers. The study finds that SRI funds exhibit different industry betas consistent with different portfolio positions, but that these differences vary from year to year. It is also found that there is little difference in stock-picking ability between the two groups of fund managers.     

Gold price risk and the returns on gold mutual funds

A model is presented for estimating the theoretical gold price elasticity of the value of mutual funds investing in gold mining companies. The theoretical elasticity shows that if the funds invest in companies whose assets are comprised primarily of operating gold mines, then the return of an investment in the fund will be at least as great as an investment in gold (i.e., the gold price elasticity of the gold fund is greater than 1). Empirical tests of the above propositions are presented. Empirical tests also show, however, that the gold mutual funds contain a substantial amount of risk which is not explained either by market risk or gold price risk. Accordingly, gold mutual funds and gold bullion do not bring identical risks to an investor's portfolio.     

THE INCENTIVES OF HEDGE FUND FEES AND HIGH‐WATER MARKS

Hedge fund managers receive a large fraction of their funds' profits, paid when funds exceed their high‐water marks. We study the incentives of such performance fees. A manager with long‐horizon, constant investment opportunities and relative risk aversion, chooses a constant Merton portfolio. However, the effective risk aversion shrinks toward one in proportion to performance fees. Risk shifting implications are ambiguous and depend on the manager's own risk aversion. Managers with equal investment opportunities but different performance fees and risk aversions may coexist in a competitive equilibrium. The resulting leverage increases with performance fees—a prediction that we confirm empirically.     

我国基金托管人制度的创新

基金托管人在我国证券投资基金中承担着保管基金资产,监督基金管理人投资运作的职能。与资本市场发达国家相比,我国的基金托管人扮演着消极被动的角色,可以参考公司型基金的董事会和独立董事制度,对基金托管人制度进行改革创新。     

Dynamic Optimal Pension Fund Portfolios when Risk Preferences Are Heterogeneous among Pension Participants

In this paper, we consider the problem of an optimal pension fund portfolio given the heterogeneous risk preferences of pension fund participants. The relative risk aversion of a pension fund tends to be a decreasing function of the level of aggregate wealth. We find that the dynamic optimal portfolio is simply characterized as the weighted sum of the optimal portfolio for each participant. Our model helps successfully establish the microfoundation of asset liability management models. A numerical example using recent Japanese data indicates the significant total welfare losses of adopting a suboptimal portfolio strategy and an inefficient risk‐sharing rule.     

企业年金基金投资:基于理论模型和实践经验的研究

本文回顾了西方养老基金投资领域的研究文献。国际经验研究说明企业年金的投资组合和发起企业的经营活动现金收益率有密切关系。本文提出了一个考虑发起企业的经营活动现金回报率之后的年金组合理论模型,分析了当前我国三类企业年金的投资组合现实,提出了相应政策建议。     

A Dynamic Investment Model with Control on the Portfolio's Worst Case Outcome

This paper considers a portfolio problem with control on downside losses. Incorporating the worst-case portfolio outcome in the objective function, the optimal policy is equivalent to the hedging portfolio of a European option on a dynamic mutual fund that can be replicated by market primary assets. Applying the Black-Scholes formula, a closed-form solution is obtained when the utility function is HARA and asset prices follow a multivariate geometric Brownian motion. The analysis provides a useful method of converting an investment problem to an option pricing model.