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“互联网+”模式下生活垃圾分类的研究与分析 被引量:12
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作者 吴新华 《无线互联科技》 2019年第13期126-128,共3页
文章通过分析当前城镇生活垃圾分类的研究现状,对“互联网+”模式下生活垃圾的分类进行了有效的研究与探索。融合“互联网+”技术,设计垃圾分类投放和平台预约回收相结合的垃圾分类模式,构建一套“城市生活垃圾分类智能服务平台”,该平... 文章通过分析当前城镇生活垃圾分类的研究现状,对“互联网+”模式下生活垃圾的分类进行了有效的研究与探索。融合“互联网+”技术,设计垃圾分类投放和平台预约回收相结合的垃圾分类模式,构建一套“城市生活垃圾分类智能服务平台”,该平台具有在线垃圾分类指导、垃圾分类投放引导、垃圾回收预约、积分兑换等多种功能,能顺应垃圾分类的发展潮流,具有一定的市场应用推广价值。 展开更多
关键词 垃圾分类 互联网+ 投放引导 回收预约 积分兑换
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Risk-Neutral Dynamic of Forward-Looking Default Probabilities and Recovery Rates: Evidence From Credit Default Swap Prices of DOW30 Companies
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作者 Chavalit Kitjakarnlertudom Sira Suchintabandid 《Chinese Business Review》 2011年第10期811-843,共33页
In modem financial markets, the credit default swap (CDS) market has supplanted the bond market as the industry gauge for a borrower's credit quality. Therefore, it is very important to value CDS accurately by gett... In modem financial markets, the credit default swap (CDS) market has supplanted the bond market as the industry gauge for a borrower's credit quality. Therefore, it is very important to value CDS accurately by getting closer to more realistic pricing models. So far there have been no models for extracting forward-looking credit information to value CDS. In current practice, historical data is used in a credit default swap pricing model. One of the reasons was the difficulty when the market for credit derivatives was small, to extract forward-looking credit information such as recovery rates and default probabilities from traded securities. Since the CDS market has undergone rapid expansion in recent years, the possibilities of extracting forward-looking credit information have increased. Our work significantly extends Das and Hanouma (2009) where a flexible jump-to-default model was introduced to obtain implied recovery rates. We improve the flexible jump-to-default model where forecasted forward-looking hazard rates and recovery rates can be extracted using stock prices, stock volatilities and data from credit default markets to forecast CDS spreads. Instead of using exogenously assumed constant recovery rates and default probabilities from a credit rating agency, we use forward-looking hazard rates and recovery rates to price and forecast CDS spreads. We also compare out-of-sample market CDS spreads with our forecasted CDS spreads to check how well our model performs. Our model fit the market CDS spreads very well across all time to maturity CDS contracts except in some extreme cases when there is a big jump in CDS spreads. 展开更多
关键词 financial derivatives derivatives pricing credit default swaps
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