我国原油、煤炭和天然气的价格波动关系的研究——基于DCC-MVGARCH模型的实证分析

本文以原油、煤、天然气的价格收益率作为研究对象,运用DCC-MVGARCH模型,得出能源价格波动的动态相关系数,通过实证分析发现能源价格波动性的关系。结果表明,原油市场和煤炭市场波动性的动态相关系数随时间发展不断增长,原油市场和天然气市场波动性的相关系数比较稳定,煤炭市场和天然气市场波动性也比较稳定。     

收益管理--一种提高海运企业经营绩效的新方法

本文首先介绍了收益管理的基本概念及效果，然后具体分析了适用收益管理的行业特征，进而通过对海运业行业特征的比较．提出了在海运业推行收益管理以提高企业经营绩效的建议。     

基于GARCH族模型对中国股市波动的分析与预测

运用GARCH类模型对沪深300指数序列的波动性、收益率进行了实证研究,并且对序列做了拟合与预测,获得了不错的效果。除此,还证实了中国股市存在着显著的非对称效应。     

中国股市波动有限理性归因实证分析

基于中国股市波动特征构建了中国股市的两类机构投资者（积极投资策略和保守型投资策略的机构投资者）投资理性模型。随后,借助计量软件对上证指数的时序数据和这一模型生成的数据进行拟合分析．分析这两个有限理性投资者对上证指数的超额波动所起的作用。最后,利用格兰杰检验法．检验这些变量之间的解释程度。     

Points mechanisms and rewards programs

I study points programs, such as frequent flyer and other rewards programs, as a revenue management tool. I develop a two‐period contracting model where a capacity‐constrained firm faces consumers who privately learn their valuations over time. The firm cannot commit to long‐term contracts, but it can commit to allocate any unsold capacity through a points program. This points scheme creates an endogenous and type‐dependent outside option for consumers, which generates novel incentives in the firm's pricing problem. It induces the firm to screen less ex interim, and to offer lower equilibrium prices, reversing the intuition of demand cannibalization.     

Estimation of Asymmetric Stochastic Volatility Models: Application to Daily Average Prices of Energy Products

Energy supply and demand, and as a consequence energy prices, are likely to represent one of the biggest challenges of the 21st century. Commodity markets exhibit increased volatility when there is little or no underutilized supply capability to meet natural fluctuations in demand. In the case of energy markets, the large capital requirements and significant lead times associated with energy production and delivery make them more susceptible to the imbalances in supply capability and demand. Energy price volatility has destructive impact on market agents, and this impact is intensified when the prices exhibit asymmetric volatility. This article pursues two aspects of the issue. First we consider general aspects, especially the asymmetric pattern of volatility of daily returns of different types of energy products. Then, we analyze the behaviour of daily returns by using traditional models of volatility that include AGARCH, TGARCH, EGARCH, and ARSV strategies, as well as a threshold asymmetric autoregressive stochastic volatility (TA-ARSV) model that we propose. The energy products considered in this analysis are probably the most relevant energy products for the economic activity of the nations and the economic relations between countries: Crude Oil (OPEC reference basket and London Brent index), Gasoline, Natural Gas, Butane, and Propane. We use spot prices and the time reference ranges from 1986–1993 to 2009 depending on the product.     

财政级次与优化政府间税种配置

我国过多的财政级次与彻底分税制之间存在不相容性,难以在各级政府间合理配置税种,因而需要简化财政体制级次.本文结合政府层级变化趋势,提出推出两项行政体制变革,将政府层级从五级精简为三级,使得政府层级与财政级次对应,并以中央、省、市(县)这三级政府财政为架构,来优化各级政府间税种配置,形成各自的主体税种.     

"可税与否"未改变我国GDP与税收的基本关系——基于1978～2005年数据的实证检验

文章对我国GDP构成中不可税部分加以剔除,计算出1978~2005年可税GDP。使用相关性分析和时间序列分析的方法,研究了我国1978~2005年税收和可税GDP的总量及增量之间的关系,以及税收与可税GDP增长率之间的关系。研究结果发现:税收、可税GDP的总量和增量是协整的,并且具有高度的相关性。可税GDP增长率与税收增长率的相关性微弱,并且实际GDP增长率对实际税收增长率的解释能力很低。对照剔除前的计算结果,文章发现对GDP不可税部分的剔除并没有明显改变税收与GDP在总量、增量和增长率方面的基本关系。     

A novel cluster HAR-type model for forecasting realized volatility

This paper proposes a cluster HAR-type model that adopts the hierarchical clustering technique to form the cascade of heterogeneous volatility components. In contrast to the conventional HAR-type models, the proposed cluster models are based on the relevant lagged volatilities selected by the cluster group Lasso. Our simulation evidence suggests that the cluster group Lasso dominates other alternatives in terms of variable screening and that the cluster HAR serves as the top performer in forecasting the future realized volatility. The forecasting superiority of the cluster models are also demonstrated in an empirical application where the highest forecasting accuracy tends to be achieved by separating the jumps from the continuous sample path volatility process.     

Bayesian semiparametric stochastic volatility modeling

This paper extends the existing fully parametric Bayesian literature on stochastic volatility to allow for more general return distributions. Instead of specifying a particular distribution for the return innovation, nonparametric Bayesian methods are used to flexibly model the skewness and kurtosis of the distribution while the dynamics of volatility continue to be modeled with a parametric structure. Our semiparametric Bayesian approach provides a full characterization of parametric and distributional uncertainty. A Markov chain Monte Carlo sampling approach to estimation is presented with theoretical and computational issues for simulation from the posterior predictive distributions. An empirical example compares the new model to standard parametric stochastic volatility models.