证券投资组合的风险分散问题研究

由于证券市场具有许多未知性和不确定性,使得证券投资可能会出现亏损或者盈利现象的发生。投资组合可以有效降低风险,被广泛应用于金融投资等高风险领域,主要用在资产估值、资金成本预算以及资本配置等方面。证券投资组合在风险和收益权衡过程中起到了重要作用,本文阐述证券投资存在的风险,对投资组合风险分散原理进行了分析,论证了投资组合在分散证券投资风险中的作用。     

证券投资组合的数学优化函数分析

任何证券投资者都会对自己的证券投资收益有一定的期望值。但是,这种期望值如果系于单一的证券投资,其实现的可能性很小且风险很大,那就必然选择多种证券组合投资的方法来达到这种目的。证券的投资组合是以最小的风险来达到尽可能大的收益为目的的,从数学的角度来描述...     

最优证券组合投资决策研究

组合证券投资是分散投资风险的有效途径。为了分散投资风险并取得适当的投资收益,投资者往往将资金分散投资于一组选定的证券。投资者进行组合证券投资的关键是确定最优证券组合投资比例系数。为此,针对Markowitz均值一方差模型及市场模型,分别在允许卖空和不允许卖空的条件下,研究了最优证券组合的选择问题。     

组合证券投资理论发展与统计方法的应用

组合证券投资是分散投资风险的有效途径。投资收益的高低与风险的大小,是每个投资者都必须考虑的问题。投资者总是在一定预期收益及风险水平上选择证券投资方法。通过对每种证券的期望回报率、回报率的方差和每一证券及其他证券之间回报率的相互关系来进行适当分析,辩识出有效投资组合在理论上是同行的。本文在对组合投资理论的发展进行介绍和评述的基础上,给出了统计方法在组合证券投资中的应用。     

证券投资组合策略研究

证券投资组合问题的研究是当前投资领域中的一个热点问题。本文根据投资者对证券收益的要求，从经常收入和资本增值方面研究如何进行证券组合，以满足投资者的要求。     

从概率统计学原理谈投资证券的风险规避

本文利用概率统计原理,对证券投资组合能减轻所遇风险带来的损失作了有益的讨论,并介绍了几种证券投资组合方案的选择,以及如何在多种证券中选出几种进行投资组合.     

证券风险度量的实证研究

本文重点研究CVaR在投资组合理论中的运用,首先简单介绍现代证券投资风险度量方法及其缺点,然后对CVaR风险度量方法的概念、计算、性质等作了探讨.其次,对基于CVaR的投资组合优化模型进行了介绍和扩展,并利用沪深股市股票对模型进行了实证分析,通过分析结果来验证新模型对证券投资风险的评估效果.     

证券投资组合规模与风险关系分析

以深圳证券交易所20家上市公司为实证分析对象，系统阐释证券投资组合规模与风险的关系，提出投资组合规模包括7-10种股票，能够使投资投资风险降低到最低限度。这一分析结论，对投资投资组合选择具有重要的实际指导意义。     

浅析中国个股期权的组合策略

本文以期权组合策略为研究对象,分析了其在中国个股市场的应用基础,分别介绍了跨式以及熊市和牛市期权的特点和收益,以及在未来交易过程中可能非系统性风险。     

马科维兹资产组合选择理论评述

马科维兹,发展了投（个人或机构）在不确定性条件下配置金融资产的理论,即证券投资组合理论。这一理论分析了财富如何能最优地投资于期望收益率和风险不同的效益,即投资为追求效用最大化而寻找最优投资组合。     

Semi‐analytic Approaches to Collateralized Debt Obligation Modelling

Collateralized debt obligations (CDOs) constitute an important class of asset‐backed securities. Most major banks use CDOs as portfolio management tools for achieving regulatory capital relief, economic risk transfer and funding. On the other side, banks and other financial institutions invest in CDO tranches with a risk/return profile matching their risk appetite and investment policies. For both sides (risk selling and risk buying) of a CDO transaction, sound mathematical tools are required for an evaluation of the deal. In this paper, we investigate some techniques for CDO modelling, paying special attention to approaches based on semi‐analytic approximations.     

我国开放式基金赎回问题的行为金融学分析

作为一种新型的投资工具，开放式证券投资基金有助于推动我国证券市场的进一步发展，也具备了较高的盈利能力，但却面临着投资非理性的巨额赎回风险。而行为金融学从金融市场上人们行为认知偏差的角度，即通过心理学、人类学、社会学来分析金融市场上开放式基金出现这种与理性投资相背离现象的原因。     

The Dynamics of Pharmaceutical Regulation and R&D Investments

The paper uses a real option approach to investigate the properties of two widely used schemes of regulating the reimbursement of new pharmaceutical products: standard cost‐effectiveness thresholds and performance‐based risk‐sharing agreements. The use of the latter has been quickly spreading and often criticized in recent times. The results show that the exact definition of the risk‐sharing agreement is key in determining its economic effects. In particular, despite the concerns expressed by some authors, the incentive for a firm to invest in R&D may be the same or even greater than under cost‐effectiveness thresholds. The greater flexibility on the timing of commercialization allowed by risk‐sharing schemes plays a key role, by increasing the value of the option to invest in R&D under uncertainty. Under this scheme, a higher value for the firm is associated with earlier access to innovations for patients. The price for this is less value for money for the insurer at the time of adoption of the innovation.     

Liquidity shocks and equilibrium liquidity premia

We study an equilibrium in which agents face surprise liquidity shocks and invest in liquid and illiquid riskless assets. The random holding horizon from liquidity shocks makes the return of the illiquid security risky. The equilibrium premium for such risk depends on the constraint that agents face when borrowing against future income; it is insignificant without borrowing constraint, but can be very high with borrowing constraint. Illiquidity, therefore, can have large effects on asset returns when agents face liquidity shocks and borrowing constraints. This result can help us understand why some securities have high liquidity premia, despite low turnover frequency.     

基于实物期权的企业信息化多项目投资决策研究

企业投资信息化项目不同于一般的项目,信息化项目具有高度的不确定性、收益的无形性和延迟性等特点,传统的投资决策评价方法面对不确定性很高的信息化项目无法作出科学的判断,无法赋予投资者更多的灵活性。由于企业信息化项目投资及其产生的效益的不确定性具有许多实物期权的特点,因此,将运用实物期权方法来解决企业信息化多项目投资决策风险控制问题。     

新兴加转轨条件下中国证券公司的风险成因及监控

证券业是一个高风险行业 ,防范和化解风险是证券公司和监管机构的永恒主题。随着我国证券市场的蓬勃发展和逐渐规范 ,证券公司风险监控已经成为一项长期的重大任务。中国目前正处于新兴加转轨过程中 ,证券公司主要面临哪些风险 ?是如何形成的 ?在特定约束条件下怎样提高监控效率 ?围绕这些问题 ,本文首先对中国证券公司的风险及其成因进行分析 ,接着从实践的角度指出风险监控的现实约束 ,最后提出内外部风险监控协调与平衡的基本架构。     

Mad Cows,Mad Corn, & Mad Money: Applying What We Know About the Perceived Risk of Technologies to the Perceived Risk of Securities

Thirty years of research has shown that the concept of risk in people's minds is complex and influenced by many factors. Lessons learned from studies on the perceived risk of technologies and activities (such as eating British beef or genetically modified food) are applied to the perceived risk of securities. How investors may be affected by qualitative dimensions of risk, affect and imagery, and socio-political attitudes and values, are highlighted. Specific recommendations are given for improving portfolio management with a qualitative, multi-dimensional, values-based approach that complements more traditional approaches to analysis of securities.     

Imagery,Affect, and Financial Judgment

Traditional theories of finance posit that the pricing of securities in financial markets should be done according to the quality of their underlying technical fundamentals. However, research on financial markets has tended to indicate that factors other than technical fundamentals are often used by market participants to gauge the value of securities. This phenomenon may be quite prevalent in markets for initial public offerings (IPOs), where securities lack a financial history. The imagery and affect associated with securities can be a powerful basis upon which to judge their worth.

Advanced business students in a securities analysis course were asked to evaluate a number of industry groups represented on the New York Stock Exchange in terms of a set of judgmental variables. After providing imagery and affective evaluations for each industry group, the participants judged the likelihood that they would invest in companies associated with each industry. Imagery and affective ratings were highly correlated with one another and with the likelihood of investing. Judgments of performance correlated poorly to moderately with actual market performance as measured by weighted average returns for the industry groups studied. The results suggest that imagery and affect are part of a coherent psychological framework for evaluating classes of securities, but that framework may have low validity for predicting performance.     

Climate change implications for the catastrophe bonds market: An empirical analysis

Since their introduction in the mid-1990s, the return per unit of risk or multiple on catastrophe (cat) bonds has steadily declined. This paper investigates whether this pattern is consistent with the historical evolution of natural disaster risk, using average multiple figures over the period 1997–2017. Assessing the accuracy of cat bond pricing is important, since about 50% of outstanding risk capital in the cat bonds market is currently exposed to Atlantic hurricanes -a risk that global warming, among other disruptions, is found to enhance- and pension and mutual funds in European and other OECD countries currently own about 30% of the market. In this respect, while our findings suggest that falling multiples are primarily related to the Fed's expansionary monetary stance and to portfolio shift effects, we do also find evidence of significant undervaluation of global warming risk in the cat bonds market. This finding, also in light of the unfailing appetite of institutional investors for such securities, casts doubts over the sanity of the market and over cat bonds as suitable investment products for risk averse investors. Sounder investment opportunities might be found in the green bonds market, which allows for the funding of immediate investment in climate change mitigation too.     

Learning to Wait: A Laboratory Investigation

Human subjects decide when to sink a fixed cost C to seize an irreversible investment opportunity whose value V is governed by Brownian motion. The optimal policy is to invest when V first crosses a threshold V * = (1 + w *) C , where the wait option premium w * depends on drift, volatility, and expiration hazard parameters. Subjects in the Low w * treatment on average invest at values quite close to optimum. Subjects in the two Medium and the High w * treatments invested at values below optimum, but with the predicted ordering, and values approached the optimum by the last block of 20 periods.