一种基于投资者风险厌恶程度的广义叉熵投资组合模型

本文基于Csiszer定向散度理论,建立了证券投资组合的广义叉熵模型。该模型考虑了投资者的风险厌恶程度,通过将其定量化得到了各股票的投资比重,从而在考虑投资者心理行为因素的情况下降低了证券投资组合时的计算量。此外,该模型更符合投资者投资股票时的心理状态,能够客观、合理地反映投资者的投资需求,在实际投资时更具有可行性。     

证券组合投资模型优化

以Markowitz证券组合投资理论为基础,对于几种不同证券组合投资模型分别考虑了证券组合的收益,风险,交易费等因素条件下对模型进行了优化,并对文中模型做了进一步的扩展。为投资者正确选择证券组合投资的最优策略及应用方面提供参考。     

基于风险补偿的证券组合效用决策方法探讨

本文提出了一个证券投资组合的期望效用最大化模型和分析方法,把客观的市场环境和投资者的主观态度结合起来构建证券组合策略。接着,引入了投资者的无差异曲线,作为衡量证券组合的收益对风险补偿程度的工具,当无差异曲线的等效参数达到投资者根据市场好坏给出的一个设定值时,由此产生的证券组合是符合投资者偏好和市场环境状况的最佳策略。最后,应用此模型和方法,对一个简单的证券组合例子进行了实证分析。     

风险偏好与投资组合规模选择的实证研究

投资组合理论说明,通过不同规模的资产组合,可以代表不同程度的风险水平,进而获得对应风险水平下的收益。因此,不同风险偏好的投资者通过选择相应的组合规模来追求投资收益。本文通过实证研究得到证券投资规模与投资风险水平之间的关系,讨论如何选取有效率的投资组合规模获得投资收益。     

投资者行为模式与证券资产价格决定理论的演变

证券资产价格决定理论经历了70余年的演变和发展."动物精神"投资者行为模式下,强调心理预期在人们决策中的重要性,认为投资者不应把精力用于计算股票的真实价格,而是应该用于分析投资大众的未来动向和预期心理.通过对投资者个体最优行为模式的研究,哈里·马柯维茨建立了"均值-方差模型",通过对所有投资者最优行为模式的研究,建立了资本市场理论及一系列均衡定价模型.对投资者实际决策行为模式下的证券资产价格理论的研究形成了行为金融学.证券资产价格决定理论正朝着更加符合投资者实际决策行为方向发展.     

行为金融理论与证券投资策略研究

本文介绍了行为金融学在证券投资领域的基本理论模型,探讨在我国证券投资市场上,运用行为金融学理论研究投资者行为,对证券投资行为进行分析,针对非理性市场行为的投资策略来实现投资赢利目标。     

浅析现代投资组合理论

投资组合理论是资本市场理论的重要组成部分,现代投资组合理论是马科维茨在传统的投资理论的基础上,应用概率论和线性代数的方法以及偏好和效用分析理论建立的一套系统的理论模型.投资组合理论主要是研究人们在预期收入受到多种不确定因素影响的情况下,如何进行分散化投资来规避投资中的非系统风险,实现投资收益的最大化.本文重点介绍由两种证券的风险和收益确定该组合的风险、收益,可行集及多种证券组合中最佳组合的选择.     

计量模型的最佳证券投资组合

经济的繁荣为证券市场带来了新的机遇和挑战,资本市场的完善对市场经济的发展具有重要作用。证券投资组合是现代资本市场中非常重要的投资方式之一,对投资者和投资市场具有重要的意义。证券投资组合的重点是要保障投资者的收益,该文将在计量模型基础上对最佳证券投资组合进行探讨,为证券投资组合的优化提供依据。     

定单流信息含量相关研究综述

定单流是金融市场微观结构理论中的一个核心变量,能够表达投资者的信念、风险偏好和禀赋等信息,反映投资者的投资组合再平衡行为。本文对定单流信息含量相关研究进行了综述,主要回顾了股票市场、债券市场、外汇市场信息含量以及定单流的跨市场信息含量等相关研究。     

证券投资者情绪对市场收益及波动率影响的实证研究

证券市场中的投资者依据他们对上市公司未来盈利的预期来对证券进行心理定价.作为投资者对未来市场预期的一种表征,情绪是心理学及行为金融学的一个重要概念,是反映投资者心理和行为特征的一个重要指标.本文运用非对称的GARCH类模型考察了中国证券投资者的情绪指数与未来市场收益率及波动率之间是否存在显著的统计相关关系.     

我国股市过度投机下个体证券投资者行为分析

过度投机是我国股市的现状,而研究这种状况下投资者采取何种投资策略,对于其能否克服投机行为带来的风险,并进而利用其他投资者的行为来获取收益至关重要。文章从行为金融的角度去研究个体投资者的交易行为,深入考察了中国个体证券投资者行为的主要特点,并分析其行为的决定因素。在此基础上提出个体证券投资者在交易中应该采取的有效投资策略。     

资产组合风险度量与选择之文献述评

根据资产组合理论的本质,理解和掌握资产组合理论具有重要的意义。本文主要从风险度量方法比较、现实金融资产收益的实际分布与相关性、以及金融资产收益的动态变化特征等角度,对资产组合风险度量与选择的相关文献进行回顾与评述。     

资本资产定价扩展模型理论及其发展趋势

组合投资理论自从马柯维茨1952年建立以来,一直在迅速发展,特别是夏普(1962)、林特尔(1965)和摩森(1966)提出并发展了资本资产定价模型(CAPM)后,使纯粹的理论研究有机会应用于实际证券分析当中。但是,CAPM忽略了许多因素的影响,使CAPM理论与实际存在难以弥合的距离。为此,对CAPM进行修正和补充就成为后来学者研究的重点。     

The pecking order of cross-border investment

Is there a pecking order of cross-border investment in that countries become financially integrated through some types of investment rather than others? Using a novel database of bilateral capital stocks for all types of investment - FDI, portfolio equity securities, debt securities as well as loans - for a broad set of 77 countries, we show that such a pecking order indeed exists. The paper focuses on two key determinants of this pecking order: information frictions and the quality of host country institutions. Overall, we find that in particular FDI, and to some extent also loans, are substantially more sensitive to information frictions than investment in portfolio equity and debt securities. We also show that the share as well as the size of FDI that a country receive are largely insensitive to institutional factors in host countries, while portfolio investment is by far the most sensitive to the quality of institutions. This provides new evidence in favor of some hypotheses but contradicts others put forward in the literature on trade in financial assets.     

Inflation and west African sectoral stock price indices: An asymmetric kernel method analysis

Our work puts into perspective the relationship between inflation and West African sectoral indices between November 2001 and January 2020 using the asymmetric kernel method. The sectoral indices considered for the analysis include retail, finance, industry, utilities, agriculture, transportation, and other sectors. Our work reveals that while all sectors are sensitive to inflation, the utilities and agriculture sectors are more sensitive to changes in inflation. Moreover, we discover that the relationship between inflation and sectoral stock market indices is rather non-linear to support the hypothesis that the relationship between inflation and stock market indices varies across different inflationary economies. These results imply that investors modify the structure of their investment portfolio according to the variation in the levels of inflation to the extent that this variation ultimately affects future dividends.     

The gambling preference and stock price: Evidence from China's stock market

Considering the strong gambling preference of retail investors in emerging markets and using the data of Chinese A-share listed companies from 2000 to 2018, this paper constructs an index of investor's gambling preference based on the theory of explicit preference and develops a factor model to capture the risk premium of gambling by introducing gambling factors. The results show that the factor model not only fits the gambling characteristics of the Chinese stock market well but also has strong explanatory power for common market anomalies. Through the index of capital gains over-hang (Wang et al., 2016), this paper further finds that facing different degrees of losses, investors will show different gambling preferences. The factor model also shows stronger explanatory power in the sample with more losses, revealing the investment characteristics of retail investors that the more you gamble and the more you lose. This study would be meaningful for exploring behavioral pricing factors, understanding emerging stock markets and supporting investment practice.     

A NOTE ON THE QUANTILE FORMULATION

Many investment models in discrete or continuous‐time settings boil down to maximizing an objective of the quantile function of the decision variable. This quantile optimization problem is known as the quantile formulation of the original investment problem. Under certain monotonicity assumptions, several schemes to solve such quantile optimization problems have been proposed in the literature. In this paper, we propose a change‐of‐variable and relaxation method to solve the quantile optimization problems without using the calculus of variations or making any monotonicity assumptions. The method is demonstrated through a portfolio choice problem under rank‐dependent utility theory (RDUT). We show that this problem is equivalent to a classical Merton's portfolio choice problem under expected utility theory with the same utility function but a different pricing kernel explicitly determined by the given pricing kernel and probability weighting function. With this result, the feasibility, well‐posedness, attainability, and uniqueness issues for the portfolio choice problem under RDUT are solved. It is also shown that solving functional optimization problems may reduce to solving probabilistic optimization problems. The method is applicable to general models with law‐invariant preference measures including portfolio choice models under cumulative prospect theory (CPT) or RDUT, Yaari's dual model, Lopes' SP/A model, and optimal stopping models under CPT or RDUT.     

证券投资者行为及投资策略研究

行为金融学注重研究证券投资者在投资决策时的心理特征,其对投资者的有限理性决策假设使其能更好地解释许多证券市场异常现象。本文从行为金融学视角对证券投资者心理与行为特征进行分析,我国证券投资者的投资行为有逆向投资策略,惯性投资策略,小盘股投资策略。     

基于适应性理论对证券市场和投资者的建议

基于适应性理论,以帮助投资者实现理性决策为目标,针对决策过程中影响投资者理性决策的＂外部环境＂因素和＂内部限制＂提出两个方面的对策建议,一是对证券监管的对策建议,主要目标是为投资者理性决策创造一个好的＂外部环境＂;二是对投资者个人的对策建议,主要目标是有利于投资者建立一个具有较强适应能力的投资决策模式。     

封闭式基金投资价值的均值半标准差及其综合收益率分析

本文认为，在不允许卖空的证券市场中，证券收益率的向上波动是大多数投资者的行为偏好所致，以证券收益率的方差作为投资风险测度的马克维茨（Markowitz）模型并不适合这一市场类型。文章指出，依据统计学半标准差的方法可以区分投资过程的上方风险和下方风险；同时，如果考虑证券收益率的均值，则可以运用行为均值半标准差综合收益率方法，探索出一种新的封闭式基金投资价值的分析方法。本文的分析可视为对封闭式基金投资价值之评判的一种新的理解。