谈企业投资风险

一、企业投资风险的类型 1．实业投资风险与金融投资风险。企业投资风险按照投资对象的不同可以分为实业投资风险与金融投资风险。实业投资风险是指企业内部与生产经营活动有关的投资以及对外的实业资本投资（如合资、联营、合作等）过程中投资项目达不到预期收益的可能性。它包括长期投资风险和短期投资风险两部分。金融投资风险是企业在以基本金融商品和衍生金融商品为载体的资本投资过程中投资项目达不到预期收益，从而影响企业金融投资收益实现的可能性。随着资本证券化和衍生金融工具的大量创新。资本的虚拟化程度越来越高，金融投资风险不断加大。     

金融机构如何做好对投资企业的风险预警管理

企业在投资项目时，会有一定的预期收益，但也伴随着风险。金融机构如何帮助投资企业规避风险呢？首先要分析企业投资项目的风险影响因素，然后再采取对应措施控制和管理这些因素，建立风险预警管理机制，从而帮助投资企业预防风险。     

企业年金投资收益率分析

一、现代证券组合理论——风险与收益之间的权衡 （一）风险与收益之间的制衡关系及衡量方法 风险与收益之间的制衡关系是指预期回报高的资产其风险也高,反之亦然。风险的衡量是由投资回报的波动性开始的,当人们运用资产配置技巧建立投资组合时,还需考虑资产间的相互作用以及风险分散效应,其量化的衡量方法就是现代证券组合理论的主题。投资回报率被定义为投资时段中所赚的钱占所投入资金的百分比,多期回报通常以算术平均值或几何平均值来衡量。几何平均值在衡量长期回报时较算术平均值精确。由于通货膨胀对货币价值的影响,投资回报率多为去除通货膨胀效应之后的比例,     

组合证券投资的风险分析

一、引言证券投资常可获得较高的收益,同时必须承担一定的投资风险。证券投资的风险可分为两大类,即可分散风险和不可分散风险。可分散分险与整个证券市场并无系统的联系,是仅存在于个别企业或个别行业的风险,如经营风险,违约风险即属于可分散风险。对于可分散风险,可以通过适当的组合投资而得到减小。而不可分散风险则是指同时存在于整个证券市场而发生影响作用的风险,如利率风险,市场风险和购买力风险等。这类风险存在于所有证券市场之中,因而不可能通过组合投资而减小。因此,证券投资必然涉及到风险,问题在于如何选择投资证券以分散风险和在选定     

证券投资的企业价值法分析

证券投资的主要形式分为股票投资、债券投资、基金投资等，它指投资者将资金投放于有价证券上以获取一定收益的行为。投资人可以按不同的比例对多种不同风险与收益状况的证券投资品种进行有机组合。其中股票是典型的风险投资工具，其最主要的特点是高风险高回报。债券品种比较丰富，收益与风险适中，常见的有国债、企业债券、特殊项目债券与地方债券等，债券相对存款而言具有免税与收益较高的优势。     

住房公积金投资组合研究

本文总结了近年来全国住房公积金投资结构的变化过程,分析了银行存款和购买国债的收益和风险状况,指出利率风险是住房公积金投资组合的主要风险,构建了基于久期的多目标规划模型,并利用最新的银行存款和国债利率数据进行了实证分析,发现半年期定期存款和3年期凭证式国债具有相对较高的投资价值,当两者按照8∶2的比例构成住房公积金投资组合时,可以获得较高的收益和较低的风险。     

Excel规划求解工具对组合投资的决策分析

一、证券最佳组合投资分析的Excel应用证券投资最佳组合的决策就是要寻求在给定期望收益目标下使风险水平最低的投资组合,或者在限定风险水平下使期望收益最高的投资组合。     

我国社保基金投资组合优化模型研究

受到物价指数上涨等因素的影响,社会保障基金如果不能进行有效投资经营,其实际购买力则会逐年下降,这将对投保者造成巨大损失。为了保证基金结余的安全和保值增值,必须将结余用于安全有效投资。将社保基金分别投资在几个不同的项目中,可以达到降低投资风险和提高收益双重目的。文章将从投资组合优化角度,对我国社保基金投资运营问题进行分析和探讨,设计出兼顾风险以及收益的社保基金投资组合优化模型,并提供了相应的解决思路,为提高我国社保基金投资运营效率提供有益启示。     

煤炭矿井投资风险评价

一、投资风险与风险因素 基本建设项目投资风险是指建设项目的经济效益在投资前期、投资实现期以及生产经营期全过程中存在的不确定性。或者说,投资风险是指投资项目的实际收益与预期收益之间可能存在的偏差,从而给投资者带来的不利或亏损的可能性。这些不确定性决定了投资项目收益目标可能存在的风险大小。因而,正确分析其风险因素、准确估计风险水平是进行有效防范与管理,达到最终控制风险,确保项目目标实现的重要条件。     

企业投资分析

所谓投资风险，是指企业在进行投资决策时，往往存在许多不确定因素，即能获得期望投资收益的不确定性。也就是说，在选择投资方案时，投资行为并未开始，其结果也并未出现，而只能采取一定的技术手段预测其期望值。但由于实际投资方案均有风险性。其主要表现在以下几个方面：一是整个投资期内投资费用的不确定性；二是投资收益的不确定性；三是投资期间金融市场的变化，会导致购买力风险和利率风险，对投资项目的收益结果有很大影响；四上政治风险和自然灾害等也会影响投资项目的收益；五是人为因素造成投资决策失误。所有这些都有可能引起投资利润率下降，投资回收期延长，甚至最终无法全部收回投资等，它直接影响企业的资金使用效益。因此，必须对投资风险进行正确的测定。     

风险投资多项目多阶段投资组合决策研究

针对多项目多阶段风险投资,以提高风险投资收益率、成功率和降低投资风险为目标,构建了多项目多阶段投资总体概念模型。在此基础上,利用马可维茨投资决策模型进行项目筛选,然后建立决策树和三级模糊评价模型对单个项目多阶段投资进行决策,得到了在风险资本投资总额一定的情况下的多项目投资组合、项目的投资比例以及单个项目多阶段的投资方式和资金比例。     

组合投资风险规避策略分析

高新技术产业发展呼唤风险投资,但是风险投资具有高风险性和高收益性。本文分析了风险投资风险规避策略中的 组合投资策略及现实意义。     

The financial investment decision of non-financial firms in China

This paper constructs a portfolio model to analyze the determinants of the financial investment decision of non-financial firms in China. Unlike the literature assuming that financial investments are riskless, our model allows risks in both fixed and financial investments. We show that this extension provides an analytically similar but economically different model from the literature. In particular, it is relative risk and risk-adjusted return gap, not pure risk and simple return gap that enter into firms’ financial investment decision model. Using firm-level panel data of 1902 firms listed in Chinese stock market over the period from 2006 to 2016 with semi-annual frequency, we find that the ratio of fixed investment risk over total risk dominates financial investment decisions of non-financial firms. However, rates of risk-adjusted return gap between financial and fixed investments play no role in Chinese firms’ financial investment decisions, which is in stark contrast to the results using a model assuming riskless financial investments. The baseline findings are robust to alternative measures of financialization and investment risk and different firm sizes, ownership structures and time periods.     

基于模糊系数的证券投资组合选择模型

利用模糊数来描述证券的期望收益率和风险损失率,从而对证券组合投资问题建立相应的模糊线性规划模型,并以模糊数排序为基础将该模型转化为普通线性规划模型,最后讨论模型的求解方法,并出了一个具体的算例。     

Optimal portfolio choice in the presence of domestic systemic risk: empirical evidence from stock markets

In this paper, we empirically investigate the consequences of domestic systemic risk for stock market investors. To tackle this issue, we consider two different investment strategies. One strategy is to be “crisis-conscious”, i.e., taking the possibility of systemic events into account, and the other one is to be “crisis-ignorant” and thus disregarding systemic risk. We compare the optimal portfolio choices and investment results of these strategies in an historical simulation, using almost three decades of historical stock price data. Our main findings are as follows: the crisis-conscious investor tends to choose less extreme portfolio weights for individual stocks than the ignorant investor. The overall risky investment is, however, of similar size for both. By ignoring the possibility of systemic events, the crisis-ignorant strategy performs significantly worse from the viewpoint of expected return as well as expected utility.     

Cross-industry asset allocation with the spatial interaction on multiple risk transmission channels

Taking into consideration the real link and information risk transmission channels, we used a spatial econometric approach to construct an economic distance-based spatial weight matrix, which can capture the spatial interaction across industries, and built a return estimation model with spatial interaction using the matrix. On this basis, we derived the covariance matrix and constructed the cross-industry asset allocation model. The empirical results showed that 1) the spatial interaction has a strong explanatory power to return and integrating the spatial interaction on multiple risk transmission channels can improve the effectiveness of the return estimation model; 2) the covariance matrix includes unsystematic risk (idiosyncratic risk) and systematic risk (market risk and cross-industry spillover risk); 3) the asset allocation model with spatial interaction can improve the performance of the portfolio and provide a valuable reference for investors' risk management and investment decision.     

人力资源投资风险及防范

在知识经济时代,知识及知识创新成为知识型企业生存与发展的首要条件,企业越来越重视人力资源投资,但也会遇到各种投资风险。企业应理性看待人力资本投资行为,尽可能减少投资风险,提高投资回报率。     

Fractal statistical measure and portfolio model optimization under power-law distribution

An effective portfolio selection model is constructed on the premise of measuring accurately the risk and return on assets. According to the reality that the tail of returns on assets obey power-law distribution, this paper firstly builds two fractal statistical measures, fractal expectation and fractal variance, to measure the asset returns and risks, inspired by the method of measuring curve length in the fractal theory. Then, by incorporating the fractal statistical measure into the return-risk criterion, a portfolio selection model based on fractal statistical measure is established, namely the fractal portfolio selection model, and the closed-form solution of the model is given. Finally, through empirical analysis we find that the fractal portfolio selection model is effective and can improve investment performance.     

Differences Between Short‐ and Long‐Term Risk Aversion: An Optimal Asset Allocation Perspective

This paper studies the long‐term asset allocation problem of an investor with different risk aversion attitudes to the short and the long term. We characterize investor's preferences with a utility function exhibiting a regime shift in risk aversion at some point of the multiperiod investment horizon that is estimated using threshold nonlinearity methods. Our empirical results for a portfolio of cash, bonds and stocks suggest that long‐term risk aversion is higher than short‐term risk aversion and increases with the investment horizon. The exposure of the investment portfolio from stocks to bonds and cash increases with the degree of risk aversion.