基于偏度的多期证券投资组合模型研究

在考虑资产收益率分布中正的偏度水平前提下,以风险价值VaR为约束条件,并引入非线性交易费用、税收等市场摩擦因素,建立以累积偏度最大为目标函数的多期投资组合优化模型,用罚函数法和PSO算法结合求解此模型,并给出实证分析。考虑到在买卖资产风险时交易费用等对投资收益的影响,投资者应该在每一期都对其资产组合进行调整分析,确保在每一期的开始都建立起符合需要的最优资产组合,这对投资者的连续投资行为具有一定的指导意义。     

基于LabVIEW的振动测试分析系统

针对传统振动测试手段所需仪器繁多而复杂的缺点,基于LabVIEW构建了一个振动测试分析系统。采用模块化思想设计系统。将系统分为数据采集、时域分析、频域分析、模态分析、数据管理五大模块,经过测试验证了系统的可行性与有效性。     

高职类《工程力学》教改问题的探讨

文章主要根据笔者多年从事高职类工程力学教学的经验,提出了如何对高职类工程力学进行改革的一些观点和看法。     

Nonlinear Mean Reversion across National Stock Markets: Evidence from Emerging Asian Markets

This paper seeks empirical evidence of nonlinear mean-reversion in relative national stock price indices for Emerging Asian countries. It is well known that conventional linear unit root tests suffer from low power against the stationary nonlinear alternative. Implementing the nonlinear unit root tests proposed by Kapetanios et al. (2003 Kapetanios, G., Shin, Y. and Snell, A. 2003. Testing for a unit root in the nonlinear STAR framework. Journal of Econometrics, 112: 359–379. [Crossref], [Web of Science ®] , [Google Scholar]) and Cerrato et al. (2009 Cerrato, M., de Peretti, C., Larsson, R. and Sarantis, N. 2009. “A nonlinear panel unit root test under cross section dependence”. Working Papers 28, Department of Economics, University of Glasgow [Google Scholar]) for the relative stock prices of Emerging Asian markets, we find strong evidence of nonlinear mean reversion, whereas linear tests fail to reject the unit root null for most cases. We also report some evidence that stock markets in China and Taiwan are highly localized.     

我国上市公司信息披露质量对其财务绩效影响的实证研究——基于非线性和非对称性的视角

本文以2006-2010年的深市A股上市公司为样本,以每股收益为上市公司财务绩效的替代变量,以深交所对上市公司信息披露考评结果作为信息披露质量的替代变量,研究了我国上市公司信息披露质量对其财务绩效的影响。结果表明：上市公司信息披露质量对其财务绩效的影响是非线性的,具体表现为正u型;上市公司信息披露质量的变动对其财务绩效的影响是非对称的。最后,本文根据回归分析结果提出了相应的政策建议。     

Investigating the stationarity of insurance premiums: international evidence

This article explores whether there is support for the stationarity hypotheses of life and non-life insurance premiums during the period 1979–2007 for 40 heterogeneous countries. The stationarity of insurance premiums affects insurance companies’ prediction on their future inflow of premium income, which affects the liquidity of insurance companies and their investment plans and thus is relevant to the insurers’ operation. This article employs the advanced nonlinear panel unit-root test with a sequential panel selection method to classify the entire panel into two groups: stationary countries and non-stationary countries. We apply Monte Carlo simulations to derive empirical distributions of the test, which allows us to correct for the finite-sample bias and to consider the cross-country effects. We find relatively stationary life insurance premiums in countries from the following groups: high-income, Europe, and common law origin; relatively stationary non-life insurance premiums exist in the following groups: low-income, Middle East and Africa, and common law origin. Evidence herein shows that different classifications, including income levels, geographic regions, regionally or economically integrated blocs, and legal system, affect the stationarity of life and non-life insurance premiums.     

Derivatives pricing with marked point processes using tick-by-tick data

I propose to model stock price tick-by-tick data via a non-explosive marked point process. The arrival of trades is driven by a counting process in which the waiting time between trades possesses a Mittag–Leffler survival function and price revisions have an infinitely divisible distribution. I show that the partial-integro-differential equation satisfied by the value of European-style derivatives contains a non-local operator in time-to-maturity known as the Caputo fractional derivative. Numerical examples are provided for a marked point process with conditionally Gaussian and with conditionally CGMY price innovations. Furthermore, the infinitesimal generator of the marked point process derived to price derivatives coincides with that of a Lévy process of either finite or infinite activity.     

Complexity and financial stability in a large random economy

I study the limit of a large random economy, in the ideal case of perfect competition, where full information is available to all market participants, and where a set of consumers invests in financial instruments engineered by banks in order to optimize their future consumption. This provides a picture of how unregulated financial innovation pushes an economy towards the ideal limit of complete markets. Hedging new products with existing products allows financial institutions to reduce the associated risk and hence the risk premium. This has the expected consequence that markets, under such ideal conditions, converge to market completeness as the repertoire of financial instruments expands. As markets approach completeness, however, two ‘unintended consequences’ also arise: (i) equilibrium portfolios develop a marked susceptibility to idiosyncratic shocks and/or parameter uncertainty and (ii) hedging engenders divergent trading volumes in the interbank market. Combining these suggests an inverse relation between financial stability and the size of the financial sector, which can be quantified within the present framework. These results suggest that even under perfect competition and symmetric information, the pursuit of market efficiency—in terms of completeness—may erode financial stability. The proliferation of financial instruments exacerbates the effects of market imperfections and, in order to prevent an escalation of perverse effects, markets may require institutional structures that become more and more substantial as their complexity expands.     

New evidence of regional income divergence in post-reform Russia

This article investigates regional income convergence in Russia during 2000–2008. We test the hypothesis in which income divergence across regions of the country should give place to income convergence as the country moves toward free market economy with strong market institutions. The study contributes to the existing literature by using the exponential smooth autoregressive Augmented Dickey–Fuller (ADF) unit root test in a panel setup, a novel econometric technique, which encompasses cross sectional dependence. Results show strong evidence of on-going regional income divergence in post-reform period.     

From real estate to consumption: the role of credit markets in the USA

The aim of this article is to test whether the credit market conditions affect the strength of transmission of real estate wealth effects on household consumption in the US economy. Although many different works have dealt with the analysis of the existence of a real estate wealth effect, most of them as a reaction to the dramatic increase of housing prices in several OECD countries, there are only few papers analysing whether the consumption response depends on the positive or negative sign of the wealth shock and, as far as we know, none of them takes the effects of credit market conditions on that asymmetric response into account. This article tries to fill the existing gap in the literature on this matter. From an econometric perspective, we estimate the asymmetries in the consumption response within the momentum threshold autoregressive model (M-TAR) proposed by Enders and Siklos (2001), but following Stevans (2004), it is applied to a multivariate framework. The main results show that the credit market conditions play a significant role in the transmission of changes in real estate wealth to consumption. In addition, we find that there exists an asymmetric behaviour in the US aggregate consumption spending responses to real estate wealth and credit market shocks, which is only significant when a negative shock takes place.