Designs for estimating an extremal point of quadratic regression models in a hyperball

This paper is devoted to studying optimal designs for estimating an extremal point of a multivariate quadratic regression model in the unit hyperball. The problem of estimating an extremal point is reduced to that of estimating certain parameters of a corresponding nonlinear (in parameters) regression model. For this reduced problem truncated locally D-optimal designs are found in an explicit form. The result is a generalization of the results of Fedorov and Müller (1997) for onedimensional quadratic regression function in the unit segment. Received February 2002     

Asymptotic analysis for optimal investment and consumption with transaction costs

We consider an agent who invests in a stock and a money market and consumes in order to maximize the utility of consumption over an infinite planning horizon in the presence of a proportional transaction cost . The utility function is of the form U(c) = c^1-p/(1-p) for p > 0, . We provide a heuristic and a rigorous derivation of the asymptotic expansion of the value function in powers of , and we also obtain asymptotic results on the boundary of the no-trade region.Received: July 2003, Mathematics Subject Classification (1991): 90A09, 60H30, 60G44JEL Classification: G13Work supported by the National Science Foundation under grants DMS-0103814 and DMS-0139911.     

The impact of FIFA’s official announcements on the stock market of Qatar: The case of the 2022 World Cup

This study examines the impact of the FIFA’s official announcements on Doha Stock Exchange (DSE) of Qatar with respect to the 2022 World Cup. Using the abnormal unsystematic volatility method of Hilliard and Savickas (2002), our empirical findings reveal that the DSE market is sensitive to FIFA’s announcements about the 2022 World Cup. We find that four out of six FIFA announcements act as primary drivers to the DSE market volatility. The significant reactions of the DSE market to these announcements unveil the investors’ sentiments about the fate of the governmental and private expenditures on medium- and long-term projects undertaken in anticipation of hosting the 2022 World Cup. The results have some implications to investors in this newly emerging market related to this global sporting event. Any future announcements, good or bad, are likely to impact share prices in DSE market and trigger portfolio reallocation by local and international investors, leading to increased volatility.     

Institutional quality and the effectiveness of aid for trade

Trade policy barriers and high transaction costs hinder developing countries from taking the full advantages of the global trading system. In order to help developing countries overcome the problem, the World Trade Organization (WTO) launched the Aid for Trade (AFT) initiatives in its Ministerial Conference held in Hong Kong in 2005. We examine the effects of AFT inflows on bilateral trade costs facing 133 developing countries while accounting for differences in their location on the contours of various measures of institutional quality. Our results from the estimation of a mixed effects (random-intercept and random-coefficient) model indicate that institutional quality significantly affects the extent to which AFT reduces bilateral trade costs. An important policy implication of our findings is that an economically robust and sustainable reduction in bilateral trade costs facing developing countries requires the presence of both promulgated and effectively functioning institutions such as regulatory power and the rule of law.     

Uncertainty and sustainability in the management of rangelands

We analyze a dynamic and stochastic ecological-economic model of grazing management in semi-arid rangelands. The ecosystem is driven by stochastic precipitation. A risk averse farmer chooses a grazing management strategy under uncertainty such as to maximize expected utility from farming income. Grazing management strategies are rules about which share of the rangeland is given rest depending on the actual rainfall in that year. In a first step we determine a myopic farmer's optimal grazing management strategy and show that a risk averse farmer chooses a strategy such as to obtain insurance from the ecosystem: the optimal strategy reduces income variability, but yields less mean income than possible. In a second step we analyze the long-run ecological and economic impact of different strategies. We conclude that a myopic farmer, if he is sufficiently risk averse, will choose a sustainable grazing management strategy, even if he does not take into account long-term ecological and economic benefits of conservative strategies.     

灰色模型在股票价格预测中的应用——以中国石化为例

通过对原始数据进行筛选,将GM(1,1)模型用于股票预测,对交易日收盘价格进行预测,并以中国石化(600028)2012-01-04至2012-12-31的交易数据为例进行了分析。分析结果表明,灰色预测模型的平均预测准确度为98.63%。考虑到股票交易规则,42%的预测数据为有效预测,有效预测的平均预测准确度为99.31%。     

Exploring the interaction between stock price index and exchange rates: an asymmetric threshold approach

This article examines the impact of stock market news on the foreign exchange markets of USA, Canada and UK, employing an innovative extension of the asymmetric threshold model of Apergis and Miller (2006). Under this framework we can disentangle the reaction of foreign exchange market to bad or good news and small or large news of stock returns. Our comprehensive daily data-set spans the period from January 1990 to June 2014. Using a cointegration and error correction model, we document the existence of a causal relationship between stock market and foreign exchange markets. Most interestingly, our results derived from the asymmetric threshold model confirm that the relationship between stock and foreign exchange markets is sensitive to short-term good or bad news and short-term small or large news. Our findings entail significant implications for policymakers, governments, risk managers and international investors.     

Asset pricing and energy consumption risk

This paper proposes energy consumption in the US as a new measure for the consumption capital asset pricing model. We find that (i) industrial energy growth produces reasonable values for the relative risk aversion coefficient and the implied risk-free rate; (ii) compared to alternative consumption measures, industrial energy performs well in explaining the cross-sectional variation in stock returns with the lowest implied risk aversion and pricing errors; (iii) the industrial energy consumption risk model performs equally well as the Fama–French three-factor model in the cross-sectional asset pricing tests; and (iv) total energy consumption risk is priced in the presence of the Fama–French factor risks.     

基于IAD延伸决策模型的农户征地意愿研究

基于奥斯特罗姆IAD模型的延伸框架,通过广东省21个市(县)2013年的调查数据,首先运用二元logistic整体回归模型对征地制度改革中农户的征地意愿进行研究,进而发现细分已征地农户与未征地农户的意愿差异并差别分析的必要。研究结果显示:除了一般的户主特征变量、征地补偿标准变量外,程序变量和认知改革变量对已征地和未征地农户的征地意愿影响尤其显著,但二者在近乎均质的行动舞台中,基于对事前最终行动结果信息的感知和预测,在征地意愿上表现出了不同的变量特征,数据分析表明未征地农户是以征地农户的最终行动结果(决策前)作为决策参照,以制定激励和预期收益调整征地意愿决策。另外,回归模型显示在征地意愿的影响因素中,程序公正(协议征地)要优于货币补偿,农户对土地财产性权利分配的关切不是征地制度改革自身所能解决的。     

金融稳定分析的宏观模型综述及展望

金融系统的稳定性水平是金融功能是否有效发挥的反映,加入WTO后中国政府对经济系统进行了诸多方面的改革,金融系统的稳定性得到明显提升,但也存有压力与风险。金融稳定分析的宏观模型包括扩展的宏观经济模型、动态随机一般均衡模型和网络模型。其中,动态随机一般均衡模型具有较好的现实拟合度,应用性较强。应根据中国的社会背景和特殊的金融制度,构建中国特色的动态随机一般均衡模型。