中日行政补偿范围比较及启示

行政补偿是行政机关的合法行为对相对人合法权益造成损害给予弥补的一项法律制度。中日两国行政补偿制度补偿的概念、应予补偿的行政行为和补偿的项目上都存在较大的差异，我国的行政补偿制度建设应该借鉴日本的经验，逐步扩大行政补偿的范围。     

Realistic Statistical Modelling of Financial Data

The aim of this paper is to present some of the stylized features of financial data which have received a lot of attention both from practitioners and those with more theoretical backgrounds. Some of the models resulting from these efforts are reviewed and discussed. To facilitate the discussion two data sets are used: one of these contains all US trades in IBM stocks in 1995 at NYSE.     

MultiFactor Valuation of Floating Range Notes

Under a one-factor Gaussian Heath-Jarrow-Morton model, Turnbull (1995) as well as Navatte and Quittard-Pinon (1999) have provided explicit pricing solutions for range notes contracts. The present paper generalizes such closed-form solutions for the context of a multifactor Gaussian HJM framework.     

行政诉讼受案范围之变——从具体行政行为标准到权利义务标准

行政诉讼受案范围决定着受到行政主体侵害的行政相对人的诉权范围。因此,受案范围规定是否完善影响着行政相对人的合法权益。《行政诉讼法》所确定的以具体行政行为标准的受案范围难以操作,无法充分发挥保障行政相对人合法权益的作用。而我国司法解释所确立的以权利义务为标准的受案范围适应了行政审判实践,同时对保障相对人合法权益起到积极作用。因此,转变行政诉讼受案范围的标准,不仅可以保障行政相对人合法权益,而且能够促进行政诉讼制度的发展与完善.     

Fractional Integration in Agricultural Futures Price Volatilities

This article tests whether the volatility of agricultural futures prices exhibits fractional integration. Volatility series were constructed for fourteen agricultural futures price series with over 5,300 observations per series. The volatility series exhibit strong long-term dependence, which is an indicator of fractional integration. A fractional integration model, FIGARCH(1,  d , 1), performs significantly better than a traditional volatility model, GARCH(1,1), in modeling agricultural futures price volatility.     

我国股票资产价格与通货膨胀关系的研究

货币政策是否应该干预股票资产价格的波动,这是一个广受关注且富有争议的问题.这一问题的关键因素在于正确判断通货膨胀与股票资产价格的关联性.目前,股票收益率与通货膨胀之间存在四种相关关系,即正相关、负相关、不确定以及不相关.我国的资本市场成立较晚,研究股票收益率与通胀率之间关系的成果非常少.所以从我国沪深两市股指与通货膨胀走势、沪深两市股指波动区间、波动频率与通货膨胀间的关系,以及我国沪深两市股票市盈率与通货膨胀关系描述等三方面来揭示股票资产定价与通货膨胀间的关系,为全面认识我国证券市场与通胀间的关系提供实事依据.     

Bayesian realized-GARCH models for financial tail risk forecasting incorporating the two-sided Weibull distribution

The realized-GARCH framework is extended to incorporate the two-sided Weibull distribution, for the purpose of volatility and tail risk forecasting in a financial time series. Further, the realized range, as a competitor for realized variance or daily returns, is employed as the realized measure in the realized-GARCH framework. Sub-sampling and scaling methods are applied to both the realized range and realized variance, to help deal with inherent micro-structure noise and inefficiency. A Bayesian Markov Chain Monte Carlo (MCMC) method is adapted and employed for estimation and forecasting, while various MCMC efficiency and convergence measures are employed to assess the validity of the method. In addition, the properties of the MCMC estimator are assessed and compared with maximum likelihood, via a simulation study. Compared to a range of well-known parametric GARCH and realized-GARCH models, tail risk forecasting results across seven market indices, as well as two individual assets, clearly favour the proposed realized-GARCH model incorporating the two-sided Weibull distribution; especially those employing the sub-sampled realized variance and sub-sampled realized range.     

论企业碳排放信息公开的法律限度

企业碳排放信息公开需要有明确的法律限度。企业碳排放信息具有环保性、碳交易相关性、碳管理相关性三个显著特征,其范围划分应遵循不违反强行法规定、服务于环境保护、服务于碳排放权交易、服务于碳管理四个原则,对其可以依据不同的标准进行分类。企业碳排放信息公开的程度可以从客观性、可靠性、全面性、易获取性四个方面进行考察和判断;公开的方式分为强制公开、自愿公开和协商公开;公开的载体要进行分层,且应多样化;公开的例外至少包括九种情形。     

Option pricing under fast‐varying long‐memory stochastic volatility

Recent empirical studies suggest that the volatility of an underlying price process may have correlations that decay slowly under certain market conditions. In this paper, the volatility is modeled as a stationary process with long‐range correlation properties in order to capture such a situation, and we consider European option pricing. This means that the volatility process is neither a Markov process nor a martingale. However, by exploiting the fact that the price process is still a semimartingale and accordingly using the martingale method, we can obtain an analytical expression for the option price in the regime where the volatility process is fast mean reverting. The volatility process is modeled as a smooth and bounded function of a fractional Ornstein–Uhlenbeck process. We give the expression for the implied volatility, which has a fractional term structure.