基于copula的投资组合选择模型的研究

本文首先介绍了投资组合理论与copula,然后给出基于概率的收益率等定义,建立基于概率的收益率的投资组合选择模型并给出具体解法,接着通过选取上证领先指数与深证领先指数2004年9月1日至2006年5月26日的日收盘数据进行实证分析,发现在收益率(基于概率的收益率)一定的情况下,通过投资组合可以降低风险。pápápá     

基于Copula的投资组合选择模型研究

基于概率收益率与概率风险的定义,建立基于风险与收益率的投资组合模型,为了更好拟合联合分布,在具体解法中采用Copula函数来构造多个资产收益率的联合分布。由于不要求收益率服从维纳过程,因此基于Copula的Markowitz投资组合选择模型具有更广的适用性。通过对上证领先指数与深证领先指数收盘数据实证分析发现,在收益率(基于概率ρ0的收益率)一定的情况下,通过投资组合可以降低风险。     

证券组合投资风险控制的优化数学方法

证券组合投资是分散投资风险的有效途径。用概率统计方法,分析了基于期望收益率和方差的投资组合优化模型,并引入算例,对该模型进行了计算。结果表明,在一定的预期收益率水平下,组合投资大大降低了投资的风险。     

上证50指数及其成分股的绩效研究

投资一般分为积极投资与消极投资两大类型。前者是积极选股的,后者主要是指数化投资,它基于＂有效市场理论＂,通过复制目标指数权重构成组合投资,来获取近似于指数的收益率并分散投资风险。     

上证行业指数间的相关性研究及应用

投资组合中各种资产收益之间的相关性对整个投资组合的风险有着非常重要的影响。运用一种简化的GARCH模型,分析了上证行业指数间的相关性。行业指数的GARCH(1,1)模型估计结果显示,各个行业指数对数收益率的方差都明显受到各自方差的滞后值和残差滞后值的影响。通过对各行业指数残差项的分析,给出了行业指数间动态相关系数的解析表达式;并以上证能源与其余行业指数的相关性为例,给出风险投资组合的投资建议。     

基于价值投资的Piotroski选股策略实证研究

本文通过Priotroski的基于P/B股票特征的财务指标评分选股方法对中国A股上市公司的股票2000～2012年的历史行情进行回溯实证研究,检验基于价值投资的Piotroski选股策略在中国股票市场的适用性。结果表明,Priotroski选股策略构造的股票组合盈利能力良好,远超过同期的市场指数的收益率,因而是值得推广使用的投资选股策略。     

基于价值投资的Piotroski选股策略实证研究

本文通过Priotroski的基于P/B股票特征的财务指标评分选股方法对中国A股上市公司的股票2000～2012年的历史行情进行回溯实证研究,检验基于价值投资的Piotroski选股策略在中国股票市场的适用性。结果表明,Priotroski选股策略构造的股票组合盈利能力良好,远超过同期的市场指数的收益率,因而是值得推广使用的投资选股策略。     

基金经理更换、股票联动与股票价格

基金经理更换打破了基金共同持股投资组合中股票的关联性,降低了股票收益率相关性,进而影响了股票价格。本文基于基金共同持股和基金经理更换构建了对冲投资组合,获得0.1%的日超额收益率。基金投资组合中股票收益率相关性能够解释这种超额收益率,本文发现基金更换经理后,新基金经理重建投资组合,打破了原投资组合中股票间的关联,股票收益率相关性减弱,基金共同持股程度高的股票价格受到了更大影响。基金的被动流动性冲击不能解释本文的发现。本文的研究表明基金经理变更等基金管理行为通过股票收益率相关性对股票价格产生了重要影响。     

固定收益产品投资最优化模型研究与实践——基于运筹学运输模型

传统投资组合基于马科维茨证券投资组合理论,通过调整特定时期内各种证券的份额,达到投资组合预期收益率最大化和风险最小化。该组合属于静态最优化投资组合。实际上,在固定收益投资中,通常投资者在随时间变化的资金约束下进行固定收益产品的连续投资,达到期限错配和收益率最大化的目的。本文以运筹学运输模型为基础,以固定收益产品的特点为约束条件,设计了一个与实际情况相近的最优化模型,并给出了该类问题约束方程的通用数学形式。最后在三个典型投资案例中,使用自编软件和Lingo软件,对本模型进行了适用性和可操作性验证。     

固定收益产品投资最优化模型研究与实践——基于运筹学运输模型

传统投资组合基于马科维茨证券投资组合理论,通过调整特定时期内各种证券的份额,达到投资组合预期收益率最大化和风险最小化.该组合属于静态最优化投资组合.实际上,在固定收益投资中,通常投资者在随时间变化的资金约束下进行固定收益产品的连续投资,达到期限错配和收益率最大化的目的.本文以运筹学运输模型为基础,以固定收益产品的特点为约束条件,设计了一个与实际情况相近的最优化模型,并给出了该类问题约束方程的通用数学形式.最后在三个典型投资案例中,使用自编软件和Lingo软件,对本模型进行了适用性和可操作性验证.     

Short-sale refinancing and price adjustment speed to bad news: Evidence from a quasi-natural experiment in China

Short selling may accelerate stock price adjustment to negative news. However, the literature provides mixed evidence for this prediction. Using short-sale refinancing and a staggered difference-in-differences (DID) model, this paper explores the effect of short selling on stock price adjustment. Our results show that (1) short-sale refinancing improves the speed of stock price adjustment to negative news. This result holds after we control for endogeneity. (2) The positive relationship between short-sale refinancing and stock price adjustment speed is significant in subsamples of stocks with higher earnings management or lower accuracy of analyst forecasts, indicating that firms with more opaque information are more likely to be targeted by short sellers. In subsamples of stocks with a higher ownership concentration or lower ownership by institutional investors, short selling is more likely to increase the speed of stock price adjustment, indicating that ownership structure may influence negative news mining. (3) As short-sale refinancing exacerbates the absorption of bad news by stock prices, it increases crash risk. This study enriches the research on the economic consequences of short selling and provides empirical evidence supporting regulations on short selling in China.     

Cost accounting standard and cost accounting systems in Japan. Lessons from the past - recovering lost traditions

This paper aims to show two things. The first is how Japanese culture has contributed to the development of Japanese cost accounting history. The second is to reveal the research possibilities of cost accounting history. This paper also reviews the salient features of several important examples of these aspects of cost accounting practice in Japan. It therefore explores, through some practical illustrations, how and why Japanese cost accounting differs from that found in the West.     

Guidelines for Manuscripts Submitted to The China Journal of Accounting Research

【正】The China Journal of Accounting Research‘‘CJAR’’(ISSN 1755-3091)publishes quarterly.It contains peer-reviewed articles and commentaries on accounting,auditin...     

Shared Standard Setting in the Public Interest:A Strong Model

正The last two decades have been a definitive era in the evolution of the accountancy profession.In the wake of major corporate scandals at the turn of the century,an international public debate arose on the need for more effective and well-considered regulation;this debate then reignited during the global financial and sovereign debt crises.     

HOW TO PUT TOGETHER A COMPLETE PACKAGE

正Many Institute members know they cannot rely purely on technical knowledge and business acumen to remain competitive.As soft skills are increasingly important,Jemelyn Yadao finds out how CPAs can maintain     

Guidelines for Manuscripts Submitted to The China Journal of Accounting Research

正The China Journal of Accounting Research"CJAR"(ISSN 1755-3091)publishes quarterly.It contains peer-reviewed articles and commentaries on accounting,auditing and corporate governance issues that relate to the greater China region.We welcome the submission of both theoretical and empirical research papers pertinent to researchers,regulators and practitioners.Authors should note:     

The China puzzle: Opportunities for accounting research

How can China achieve phenomenal economic growth despite what is considered as 'weak' institutions in market-based economies? Xu(2011) provides a framework to u...     

Bayesian Premium Rating with Latent Structure

We propose a fully Bayesian approach to non-life risk premium rating, based on hierarchical models with latent variables for both claim frequency and claim size. Inference is based on the joint posterior distribution and is performed by Markov Chain Monte Carlo. Rather than plug-in point estimates of all unknown parameters, we take into account all sources of uncertainty simultaneously when the model is used to predict claims and estimate risk premiums. Several models are fitted to both a simulated dataset and a small portfolio regarding theft from cars. We show that interaction among latent variables can improve predictions significantly. We also investigate when interaction is not necessary. We compare our results with those obtained under a standard generalized linear model and show through numerical simulation that geographically located and spatially interacting latent variables can successfully compensate for missing covariates. However, when applied to the real portfolio data, the proposed models are not better than standard models due to the lack of spatial structure in the data.     

Aims and Scope

<正>The focus of the China Journal of Accounting Research is to publish theoretical and empirical research papers that use contemporary research methodologies to...     

Income smoothing and the cost of debt

The literature on income smoothing focuses on the effect of earnings smoothing on the equity market.This paper investigates the effect of income smoothing on th...