具有舍入误差微观结构噪音高频数据的杠杆效应分析

本杠杆效应反映了股票收益率与其波动率变动之间的负相关关系,它一直是金融研究的核心问题.在高频时间序列数据中,传统的简单相关系数估计是不相合的,为此一些学者给出了新的杠杆效应刻画-积分杠杆效应,并给出该杠杆效应的估计量.众所周知,高频数据易受市场微观结构噪音的干扰,其中舍入误差是非常重要、实际中普遍存在的一类.高频数据被...     

2008年—2018年我国大陆地区入境旅游的危机周期及市场归因

自2008年以来我国大陆地区入境旅游危机不断,影响路径众说纷纭且缺乏系统的解释框架。以2000年—2018年28个国家或地区入境我国大陆地区客流量为依据,从国内、周边国家（洲内）和洲际三圈市场以及客源地、目的地和旅游通道三断面的博弈关系出发,分析各客源市场入境我国大陆地区客流量的变化情况,并建立了突发危机事件影响下入境旅游衰退的归因模型。结果发现：2009年爆发的全球金融危机和随后出现的欧洲债务危机,是影响三圈市场入境客流量减少的客源地断面经济因素;2008年的汶川地震和2012年—2015年大范围雾霾污染,是影响洲内、洲际市场入境客流量下降的目的地断面安全因素;2012年—2015年钓鱼岛问题和2017年萨德事件,分别导致洲内市场日本、韩国入境客流量减少,属于旅游通道断面政治因素。2008年—2018年,我国大陆地区入境旅游的“两降两升”危机周期,是受客源地、目的地和旅游通道三断面多起危机事件影响所致,并非单纯由景区门票上涨、旅游签证不便及服务质量不佳造成。本研究为突发危机事件的国际旅游研究提供了新的借鉴,对加强危机事件的预警和入境旅游市场拓展具有重要启示。     

Multifractal Company Market: An Application to the Stock Market Indices

Using the multiscale normalized partition function, we exploit the multifractal analysis based on directly measurable shares of companies in the market. We present evidence that markets of competing firms are multifractal/multiscale. We verified this by (i) using our model that described the critical properties of the company market and (ii) analyzing a real company market defined by the S&P500 index. As the valuable reference case, we considered a four-group market model that skillfully reconstructs this index’s empirical data. We point out that a four-group company market organization is universal because it can perfectly describe the essential features of the spectrum of dimensions, regardless of the analyzed series of shares. The apparent differences from the empirical data appear only at the level of subtle effects.     

Semiparametric Bootstrap Approach to Hypothesis Tests and Confidence Intervals for the Hurst Coefficient

A major application of rescaled adjusted range analysis (R–S analysis) is to the study of price fluctuations in financial markets. There, the value of the Hurst constant, H, in a time series may be interpreted as an indicator of the irregularity of the price of a commodity, currency or similar quantity. Interval estimation and hypothesis testing for H are central to comparative quantitative analysis. In this paper we propose a new bootstrap, or Monte Carlo, approach to such problems. Traditional bootstrap methods in this context are based on fitting a process chosen from a wide but relatively conventional range of discrete time series models, including autoregressions, moving averages, autoregressive moving averages and many more. By way of contrast we suggest simulation using a single type of continuous-time process, with its fractal dimension. We provide theoretical justification for this method, and explore its numerical properties and statistical performance by application to real data on commodity prices and exchange rates. This revised version was published online in June 2006 with corrections to the Cover Date.     

我国体育产业的发展与理论研究

对体育产业的概念,体育市场主体的确定,培养,规范等问题进行分析和论述。     

具指数赋权指标的证券投资多目标线性规划模型

本文提出证券投资决策的指数赋权指标体系．在该指标体系中,建立风险证券组合投资决策和存在无风险证券或无风险贷款时证券组合投资决策的多目标线性规划模型．研究了有效风险证券组合集和有效证券组合集的结构和相互关系,市场证券组合以及证券均衡市场价格和投资风险分析．