江西与中部省份发展状况比较研究

In a common sense, a transforming process of industrial structure is the process of the economicdevelopment. Firstly, this thesis reviews the past and the current of the industrial development in thecentral China after the PRC was established. Secondly, The thesis deeply analyses the reasons thatindustrial development of Jiangxi province lays behind the others in the central China in six aspects assystem, investment, level of opening-up, and so on. Finally, after realizing Jiangxi's present situation andusing the successful experiences on industrial development of developed countries and areas for reference,we pose six suggestions and measures to focus on accelerting to deyelop economy and upgrade industrialstructure of Jiangxi Province.     

东西部地区财政支出的实证分析

This article analysed the scale, structure and effects of finance expenditure in western and easternregions of China from 1996 to 2000. The conclusion indicates that both ablolute scale and relative scale offinance expenditure in the two regions have increased. The western regions put the emphasis of financeexpenditure on infrastructure while the eastern regions on science and technology. Compared with easternregions, the problem of finance expenditure in western regions lies in the government expenditure washigher than normal level; the gap in science and education expenditure of every person between westernand eastern regions have been increasing. How to increase the effects of finance expenditure is the mainproblem which western and eastern regions must face, and this problem means more improtance to westernregions.     

中国证券市场股价指数VaR研究

This paper compares the models in Predicting the VaR of stock price indexes in China. Our resultsindicate that the normal model usually underestimate the VaR when given probability is 0.01 or 0.02, andthe weighted normal model usually overestimate the VaR when given probability is 0.04 or 0.05. Thehistorical simulating model and Logistic distribution model are superior to normal model and to weightednomal model in predicting the VaR.     

国际竞争力对社会经济统计的影响

The paper introduces to the development and system of international competition capability, as well as the impact on social and economical statistics.     

中小学生品牌概念发展特点研究

The thinking level of students in primary and middle school can affect their mastering of brandconcept. In order to guide the students' consumption, this study explored the cognitive level anddevelopmental characteristics of brand concept of students in primary and middle school. The resultsshowed (1) the cognitive level of brand concept of students in primary and middle school improved withage; (2)the students of primary and middle school have different knowing about different dimensions ofbrand concept; (3)the students in different grades have different knowing about the brand concept withhigher-grade students knowing more comprehensively.     

我国外资利用的经济增长效应——基于内生经济增长模型的分析

The flowing of foreign capital is related with the economic security of one countries. The experiencesand lessons of many developing countries show that the impact of the foreign capital to the domesticeconomic is often the most important factors of the financial crisis. So it is important to a analysis theforeign capital economic growth effect. Based on the endogenous economic growth model, this paper firstdistricts the three cases of the foreign capital impact and give the three factors of the foreign capitalaffecting to the economic path. The using the sample data of China, we analyze the three factors. Theresults show that all the three factor effets are all positive, which means that the foreign capital utility ofChina is efficiency.     

基于期权方法的动态租赁决策

Many researches concentrated on the analysis of leasing decisions, which afford no flexibility to adjust the term of the leasing during its life. Since these analyses are based on Discounted Cash Flow, it is inadequate for valuing the various options written into many leasing contracts. In this paper, a leasing decision with several real options was analyzed. An option-based numerical analysis is used here with an exampite to value such. discrete-time type of real options.     

联合国统计指标解释节选(八)

The index numbers show the relative level of the aggregate volume ofagricultural production for each year incomparison with the base poriod 1969-71．They are based on the sum of price-weighted quantities of different agricul-tural commodities produced after deduc-tions of quantities used as seed andfeed weighted in a similar manner. Theresulting aggregate represents. therefore,     

FDI技术外溢的动态测算及原因解释

A dyanmic model of measuring technology spillover effects from FDI has been established in thispaper by introducing the adaptive expectation process into the original Feder model, and China' seconomic data are used to calculate the time-series of technology spillovers for China' s FDI. A furtherstudy demonstrates that the interaction of human capital and FDI well explains the changes of spillovereffects, while the degree of openness and the improvement of infrastructure also have a positive impact ontechnology spillover. However, it's hard to make certain the relationship between the technology gap,competitive intensity of domestic market and technology spillovers.     

统计数据失真成因的博弈分析

Statistical bodies are in essence interest bodies. To analyse the fundamental reasons Why somestatistical data are untrue, we need to consider the inerests ofthe statistical bodies. Their choices are thetesults of interest gaming. Based on this awareness, this article analyses the game action of the Statisticalbodies when prouding statistical date according to game theory. Therefore we get to know the reasons of theuntrueness of some statistical date. Furthermore the measures and suggestions are given.     

货币政策冲击对股票市场价格泡沫影响的时变分析

一直以来,资产价格波动与货币政策的关系都是经济金融领域关注的重点问题。本文以1997-2014年我国月度数据为样本,运用新近发展的时变参数的因子扩展向量自回归模型（TVP-FAVAR）分析了我国货币政策冲击对股票市场价格泡沫影响的时变特征。研究结果表明,我国货币政策的变动对股票市场价格的影响有着显著的时变性特点。当股票市场存在较大程度的资产价格泡沫时,股票市场的价格可能会随着利率提高而上升,采用加息的紧缩货币政策未必能够起到相应的调控资产价格波动的作用。这一结果和理性资产价格泡沫理论一致,意味着有必要重新审视传统观念中货币政策与资产价格波动之间是逆周期关系的认知。因此,政策制定者在采用“逆风而动”的货币政策时需要更加审慎,应密切关注货币政策对资产价格影响的时变特征,针对金融市场波动状况相机抉择。     

财务信息效应的非线性性

 本文采用非线性面板平滑转换（PSTR）模型就财务信息对股价的综合效应影响进行了深入研究,得到如下结论：股价对每股收益的弹性在0.287至0.929之间波动。股价对每股净资产的弹性在0.096至0.346之间波动。股价对净资产收益率在0.098至0.231之间波动。股价对主营业务利润率的弹性在0.370至0.400之间波动。股价对每股营业现金净流量的弹性在-0.143至0.245之间波动。股价对销售现金比率的弹性在-0.125至0.066之间波动。股价对存货周转率的弹性在1.037至1.173之间波动。股价对总资产周转率的弹性在-0.305至0.059之间波动。     

Robust portfolio choice for a defined contribution pension plan with stochastic income and interest rate

This paper considers a robust portfolio choice problem for a defined contribution pension plan with stochastic income and stochastic interest rate. The investment objective of the pension plan is to maximize the expected utility of the wealth at the retirement time. We assume that the financial market consists of a stock, a zero-coupon bond and a risk-free asset. And the member of defined contribution pension plan is ambiguity-averse, which means that the member is uncertain about the expected return rate of the bond and stock. Meanwhile, the member's ambiguity-aversion level toward these two financial assets is quite different. The closed-form expressions of the robust optimal investment strategy and the corresponding value function are derived by adopting the stochastic dynamic programming approach. Furthermore, the sensitive analysis of model parameters on the optimal investment strategy are presented. We find that the member's aversion on model ambiguity increases her hedging demand and has remarkable impact on the optimal investment strategy. Moreover, we demonstrate that ignoring model uncertainty will lead to significant utility loss for the ambiguity-averse member, and the model uncertainty about the stock dynamics implies greater effect on the outcome of the investment than the bond.     

M2/GDP比率对资产价格变化影响的实证研究

选取2001—2010年间的季度数据,利用误差修正模型和脉冲响应函数对中国M2/GDP比率对资产价格变化的影响进行实证研究。结果表明：M2/GDP比率与股票价格存在负相关关系,同时对股票价格的影响还存在着时延性,M2/GDP比率对房地产价格的影响几乎为零。这一结论为中国股市价格泡沫提供了一个早期预警指标,具有很强的政策意义。     

Exchange option pricing in jump-diffusion models based on esscher transform

In the real world, we introduce a dynamic model about the risky asset which is governed by Brownian motion, stationary compound Poisson process and its compensation process. By choosing Esscher transform parameters, we obtain a risk-neural measure Q under which the discounted value of the risky underlying asset is a martingale. Then, we give the pricing formulas of Exchange option by change of numeraire. At last, we analyze the option pricing formula and provide numerical illustrations by introducing BBY stock and SBUX stock.     

多样化水平与中国企业出口波动:基于产品和市场组合的研究

借鉴Markowitz资产组合理论的思想,本文利用中国制造业企业2000-2012年的出口交易数据,检验了企业在产品和市场组合上的多样化水平对其出口波动的影响,并对三者之间的作用机制进行了探讨。研究发现,中国企业多样化水平在经历了加入WTO之后的急速上升之后处于相对稳定的水平。但是,企业间的多样化水平在贸易方式、区域和产业等层面呈现明显的分化特征;其次,出口多样化指数对企业出口波动的影响呈现 “倒U型”的动态特征。从平抑出口波动的效果上来看,市场多样化要比产品多样化更为有效;另外,本文还进一步通过分解出口方差的方法,构建中介效应模型以揭示了市场多样化策略影响企业出口波动的机制。     

信贷约束、风险态度与家庭资产选择

本文运用中国家庭金融调查数据（CHFS）,从信贷约束与风险态度两个方面研究其对家庭资产的参与及配置影响。研究发现,在控制其他因素情况下,家庭信贷约束会增加家庭风险厌恶程度;受到信贷约束的家庭,其房产持有概率和房产市值均显著下降;其股票持有概率会显著下降,但对其持有股票市值影响并不显著;受到信贷约束的家庭,其购买商业保险的概率偏低;家庭风险态度对家庭房产选择的影响不显著;对股票资产的持有概率和持有量均产生负向影响,对商业保险资产的持有则产生显著正向影响。     

中国上市公司雇员股票期权价值核算：2006-2018年

根据SNA2008建议将雇员股票期权作为雇员报酬处理,2017年发布的《中国国民经济核算体系（2016）》中也正式将雇员股票期权纳入国民经济核算范围,但至今尚未发布具体数据。基于此,本文以Cvitani等（2008）提出的融入了雇员股票期权主要特征的雇员股票期权定价模型为基础,结合我国股票期权附带业绩条件的分期执行模式,以沪深两市A股上市公司的数据为例,科学核算了2006-2018年我国各年份以及各行业的雇员股票期权价值。结果显示,从全国层面看,我国雇员股票期权价值总体上呈现快速增长趋势,年均增速为41.48%;从行业层面看,雇员股票期权价值集中特征明显,制造业,信息传输、软件和信息技术服务业和房地产业的雇员股票期权价值合计占全部行业的比重超过80%。结合实际核算过程中遇到的难点,本文提出了我国开展雇员股票期权核算需完善会计制度与统计制度的相关建议。     

破产隔离、公司治理对公共设施资产证券化融资成本的影响分析

通过构建数理模型,探析了破产隔离、公司治理对公共设施资产证券化融资成本的影响机制,并以公共设施类资产证券化的优先级证券为对象进行了实证分析。研究表明:当前环境下,公共设施类资产证券化无法实现完全的破产隔离,若可实现,则能使平均融资成本降低66个基点;原始权益人的公司治理水平能够通过影响基础资产的质量对融资成本产生影响,公司治理水平每提升1%,融资成本就会下降34个基点;公共设施资产证券化的融资成本与融资规模和信用增进程度呈负相关关系,与融资期限及无风险利率呈正相关关系。     

Nonparametric predictive inference for stock returns

In finance, inferences about future asset returns are typically quantified with the use of parametric distributions and single-valued probabilities. It is attractive to use less restrictive inferential methods, including nonparametric methods which do not require distributional assumptions about variables, and imprecise probability methods which generalize the classical concept of probability to set-valued quantities. Main attractions include the flexibility of the inferences to adapt to the available data and that the level of imprecision in inferences can reflect the amount of data on which these are based. This paper introduces nonparametric predictive inference (NPI) for stock returns. NPI is a statistical approach based on few assumptions, with inferences strongly based on data and with uncertainty quantified via lower and upper probabilities. NPI is presented for inference about future stock returns, as a measure for risk and uncertainty, and for pairwise comparison of two stocks based on their future aggregate returns. The proposed NPI methods are illustrated using historical stock market data.