Valuation of commodity derivatives in a new multi-factor model

This paper extends existing commodity valuation models to allow for stochastic volatility and simultaneous jumps in the spot price and spot volatility. Closed-form valuation formulas for forwards, futures, futures options, geometric Asian options and commodity-linked bonds are obtained using the Heston (1993) and Bakshi and Madan (2000) methodology. Stochastic volatility and jumps do not affect the futures price at a given point in time. However, numerical examples indicate that they play important roles in pricing options on futures. This revised version was published online in June 2006 with corrections to the Cover Date.     

The macroeconomic determinants of technology stock price volatility

Stock prices reflect the value of anticipated future profits of companies. Since business cycle conditions impact the future profitability of firms, expectations about the business cycle will affect the current value of firms. This paper uses daily and monthly data from July 1986 to December 2000 to investigate the macroeconomic determinants of US technology stock price conditional volatility. Technology share prices are measured using the Pacific Stock Exchange Technology 100 Index. One of the novel features of this paper is to incorporate a link between technology stock price movements and oil price movements. The empirical results indicate that the conditional volatilities of oil prices, the term premium, and the consumer price index each have a significant impact on the conditional volatility of technology stock prices. Conditional volatilities calculated using daily stock return data display more persistence than conditional volatilities calculated using monthly data. These results further our understanding of the interaction between oil prices and technology share prices and should be of use to investors, hedgers, managers, and policymakers.     

Mood and Judgment of Subjective Probabilities: Evidence from the U.S. Index Option Market

Numerous psychological studies show that weather conditions affect people'smood and that mood states are correlated with people's subjective evaluationof future probabilities. In this paper, a new approach is developed and assetmarket data are employed to test the mood-subjective probability relation. Cloudcover and precipitation volume serve as two mood proxies. Our statistical analysissuggests that bad mood states are characterized by investors placing higher probabilitieson adverse events.     

旅游产品散论

目前学界对旅游产品的概念存在不少分歧,本文择取如下问题加以讨论:旅游产品是否包含媒介要素、是否是一种经历或体验、是否是商品、是否包含目的地出售的实物形态商品以及是否包含旅游资源.本文认为,媒介要素是旅游产品的必要组成部分,不能把旅游产品看作经历或体验,旅游产品是商品,旅游产品中不包含旅游地出售的旅游纪念品等实物形态商品,也不包括旅游资源.本文着重讨论了旅游资源与旅游产品的关系,提出旅游资源不是旅游产品或产品的一部分,而是、也仅仅是旅游产品生产要素中狭义的土地要素.     

石油价格对初级产品价格的影响研究

本文分析考察了石油与14种初级品价格的长期互动关系。通过研究本文认为,石油价格与相关初级农产品价格间存在较强的长期均衡性关系,与初级金属品关系次之。然而并不能完全认定近年来石油价格的上升是引发各类初级品价格上涨的主要原因,其中可能存在更为复杂的作用机制。这种互动影响的传递渠道及方式也为干预初级品价格提供了可能。     

企业边界的多种变化及其原因

企业边界普遍发生着显著变化。探索企业边界变化的原因有助于对企业性质的进一步理解。企业边界可以由企业内运用知识的规模决定，也可以由交易效率与生产效率的相对比较决定。信息技术节约交易费用，因而强化了企业间按照生产效率的分工，而知识交易效率的低下，导致越来越具有知识经验仓库性质的现代企业扩大着边界。交易费用论作为分析方法，对解释企业性质仍是有效的。     

最优货币政策规则参数的估计和中国货币状况指数的测度

本文从宏观经济的一般均衡模型出发,融入了股票价格和房地产价格变动,考察我国中央银行货币政策调控在经济增长和通货膨胀之间的目标规则,分析了影响货币政策规则参数变化的主要因素及潜在机制。本文的实证结果显示中央银行最优货币政策参数为0.144055,央行货币政策是逆周期操作,也意味着中央银行在制定货币政策时,赋予通货膨胀目标更高的权重;同时我国货币政策是逆房地产市场周期、顺股市周期的。进一步,本文从最优货币政策的角度考察了我国货币状况指数的权重。根据最优货币政策规则,货币状况指数权重为0.302876,即利率上升1%相当于汇率下降0.30%,意味着利率变动的效果要小于汇率变动的影响。     

上海市住宅价格影响因素及未来走势研究

本文采用实证分析方法,以2000~2009年上海市宏观经济数据为样本选取上海市33个经济社会指标,通过主成分分析得到影响上海市商品住宅价格的4个主成分并以指标载荷得分为其命名,即:需求因素,供给因素,市场因素,土地因素。选取主成分代表指标,通过多元回归方法求出其与上海市商品住宅价格的回归方程,并以此为依据进行预测分析。分析结果显示,需求因素为影响上海市住宅房价的最主要因素,供求矛盾推动了上海市商品住宅价格的持续走高,并在未来一段时间仍然保持上升趋势。文章最后从政府监管和需求者角度分别给出了相关建议。     

Sustaining Collusion Via a Fuzzy Trigger

Probability theory is the standard economic representation of uncertainty, although it is not always an accurate one. Fuzzy logic is an alternative representation that does not require individual beliefs regarding the explicit functional form of uncertainty. This paper applies fuzzy logic to an oligopoly trigger pricing game. The fuzzy trigger pricing game reverses the standard cyclical price war prediction; collusion-sustaining price wars are most likely to occur during times of high demand. The fuzzy model also predicts that markets with relatively volatile prices are more likely to undergo collusion-sustaining price wars. The predictions are consistent with available empirical evidence.     

土地供应方式转变对房价的影响

中国城市土地供应方式经历了由无偿划拨到有偿出让,从协议出让到招拍挂出让的转变历程,当前招拍挂已经成为经营性用地的唯一出让方式。在地方政府"土地财政"的利益驱动下,土地单一垄断供应体制下的"招拍挂"土地出让方式已经成为影响房价上涨的重要因素之一。要遏制房价过快上涨的势头,应从根源上切断地方政府在房地产市场中的利益链条。