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31.
The ability to improve out-of-sample forecasting performance by combining forecasts is well established in the literature. This paper advances this literature in the area of multivariate volatility forecasts by developing two combination weighting schemes that exploit volatility persistence to emphasise certain losses within the combination estimation period. A comprehensive empirical analysis of the out-of-sample forecast performance across varying dimensions, loss functions, sub-samples and forecast horizons show that new approaches significantly outperform their counterparts in terms of statistical accuracy. Within the financial applications considered, significant benefits from combination forecasts relative to the individual candidate models are observed. Although the more sophisticated combination approaches consistently rank higher relative to the equally weighted approach, their performance is statistically indistinguishable given the relatively low power of these loss functions. Finally, within the applications, further analysis highlights how combination forecasts dramatically reduce the variability in the parameter of interest, namely the portfolio weight or beta. 相似文献
32.
This paper is concerned with model averaging estimation for conditional volatility models. Given a set of candidate models with different functional forms, we propose a model averaging estimator and forecast for conditional volatility, and construct the corresponding weight-choosing criterion. Under some regulatory conditions, we show that the weight selected by the criterion asymptotically minimizes the true Kullback–Leibler divergence, which is the distributional approximation error, as well as the Itakura–Saito distance, which is the distance between the true and estimated or forecast conditional volatility. Monte Carlo experiments support our newly proposed method. As for the empirical applications of our method, we investigate a total of nine major stock market indices and make a 1-day-ahead volatility forecast for each data set. Empirical results show that the model averaging forecast achieves the highest accuracy in terms of all types of loss functions in most cases, which captures the movement of the unknown true conditional volatility. 相似文献
33.
Philip Hans Franses 《Journal of forecasting》2020,39(6):927-933
Each month, various professional forecasters give forecasts for next year's real gross domestic product (GDP) growth and unemployment. January is a special month, when the forecast horizon moves to the following calendar year. Instead of deleting the January data when analyzing forecast updates, I propose a periodic version of a test regression for weak-form efficiency. An application of this periodic model for many forecasts across a range of countries shows that in January GDP forecast updates are positive, whereas the forecast updates for unemployment are negative. I document that this January optimism about the new calendar year is detrimental to forecast accuracy. To empirically analyze Okun's law, I also propose a periodic test regression, and its application provides more support for this law. 相似文献
34.
提出了一种马尔柯夫链状预测中的概率计算新方法：状态划分矩阵法;具有模糊状态的马尔柯夫链的概率计算公式,并用实例计算作了说明。 相似文献
35.
伍国正 《海南大学学报(自然科学版)》2011,29(3):246-251
通过对2010年上海世博会中国馆的形象特征、设计理念、文化内涵和美学特征的解读和分析,论述了中国馆体现在地域性、民族性和时代性等方面的建筑美学意义,突出了中国馆多元丰富性的建筑美学内涵与建筑艺术的文化价值和审美价值.指出建筑的形式和风格在适应自然条件、社会和人文环境等方面的重要作用;建筑本土化意味着地域性民族文化传统、... 相似文献
36.
采用多个混沌算子单元组成一种新的预测网络,实现经济数据的预测分析.利用已知数据构造出训练样本,通过调节混沌算子单元的控制参数来控制其动力学特性,以此改变预测网络的动力学行为,使预测网络的动力学特性逐渐逼近被预测系统,并随之一致变化,从而实现时间序列的动态预测分析.利用该方法对国内生产总值和国民总收入等经济数据进行了预测... 相似文献
37.
刘琳 《华北科技学院学报》2011,8(3):105-108
本文研究乘积季节模型在我校图书借阅预测中的应用,通过对我校2007年1月到2009年12月的月度图书借阅数据来进行实证分析,采用差分方法对序列资料进行平稳化,然后进行模型定阶并估计其参数,建立了我校图书借阅的乘积季节预测模型ARIMA（4,1,1）（1,1,1）^12。对模型进行诊断检验,结果表明,用该乘积季节模型对我... 相似文献
38.
对秦岭地区三期TM影像进行解译,通过建立土地利用转移矩阵和一套数理统计模型对土地利用/土地覆被变化进行分析.结果显示:1990～2007年间,秦岭地区以林草地为主,前期除建设用地增加外,其他用地面积有少量的减少.后期的变化较前期来说更明显,耕地急剧减小,林草地快速增长,建设用地和水域增加,未利用地减少.总体上来说,19... 相似文献
39.
武文斌 《科技情报开发与经济》2011,21(31):168-171
概述了国内外智能视频分析技术的现状以及智能视频分析的核心,分析了智能视频分析的不足,探讨了智能视频分析的未来发展趋势。 相似文献
40.
LIU Yu * CAI QiuFang SONG HuiMing AN ZhiSheng & Hans W. LINDERHOLM The State Key Laboratory of Loess Quaternary Geology Institute of Earth Environment Chinese Academy of Sciences Xi’an China Department of Environmental Science Technology School of Human Settlements Civil Engineering Xi’an Jiaotong University Xi’an Graduate University of Chinese Academy of Sciences Beijing Regional Climate Group Department of Earth Sciences... 《科学通报(英文版)》2011,(Z2):2986-2994
Amplitudes, rates, periodicities, causes and future trends of temperature variations based on tree rings for the past 2485 years on the central-eastern Tibetan Plateau were analyzed. The results showed that extreme climatic events on the Plateau, such as the Medieval Warm Period, Little Ice Age and 20th Century Warming appeared synchronously with those in other places worldwide. The largest amplitude and rate of temperature change occurred during the Eastern Jin Event (343-425 AD), and not in the late 20th century. There were significant cycles of 1324 a, 800 a, 199 a, 110 a and 2-3 a in the 2485-year temperature series. The 1324 a, 800 a, 199 a and 110 a cycles are associated with solar activity, which greatly affects the Earth surface temperature. The long-term trends (>1000 a) of temperature were controlled by the millennium-scale cycle, and amplitudes were dominated by multi-century cycles. Moreover, cold intervals corresponded to sunspot minimums. The prediction indicated that the temperature will decrease in the future until to 2068 AD and then increase again. 相似文献