Dangers Lurk In Global Bond Mkts

全球债券市场接受低利率政策以促进经济增长的同时避免通货膨胀的理念。美国和欧洲债券收益率下降,短期债券收益率预计将在首次加息前六个月左右开始上升。尽管存在经济复苏的不确定性,但刺激政策和低利率可能会继续实施。
决策者一定非常自得。全球债券市场似乎已经接受了官方利率可以维持在极低的水平,以提振经济,同时又不会引发通货膨胀的教义。美国和欧洲的债券收益率在过去一个月里出现下跌,而2年期德国政府债券收益率在周二创出了1.04%的低点,尽管股市上涨,风险承受能力也在上升。市场总有一天会对所有这些因素作出反应,但是这一天不会很快到来。诚然,政府债券的买家面临巨大的诱惑。美国联邦储备委员会(Fed)和英国央行正在直接购买,降低了供应量过剩的担忧。欧洲央行也在提供为期12个月的无限制廉价融资安排,其中的大部分资金都通过银行建立流动性储备进入到债券市场中。与此同时,对经济复苏的疑虑依然存在,尤其是在旧车换现金等计划和重建库存的临时效应消失之后。这就让刺激政策和低利率更有可能延续下去。然而,紧张气氛仍在增加。短期债券收益率可能保持在低位:巴克莱(Barclays Capital)指出,它们只是在首次加息前六个月左右才开始真正上涨,而首次加息可能要等到2010年下半年了。但是,如果数据表明经济复苏不只是重建库存和一次性紧急刺激措施的结果,市场预期可能就会迅速改变。随着美国和英国政府逐步减少债券购买量,波动性可能会加大。政府小心维系的唤醒风险偏好和保持债券市场稳定之间的局面可能越来越难以把握。Richard Barley


Policy makers must be pretty pleased with themselves. Global bond markets seem to be accepting the mantra that official interest rates can be sustained at extremely low levels to boost the economy, without triggering inflation.U.S. and European bond yields have fallen over the past month, with two-year German government-bond yields hitting a low of about 1.04% Tuesday, even as equities climbed and risk appetite built. There will be a reckoning at some point -- but it could be a ways off.Admittedly, there are heavy inducements on offer for buyers of government bonds. The U.S. Federal Reserve and the Bank of England are buying directly, reducing the supply overhang. The European Central Bank is offering unlimited, cheap, 12-month refinancing facilities, and much of that funding is finding its way back into the bond market via banks building liquidity reserves.Meanwhile, doubts remain about an economic recovery, particularly once temporary effects from programs such as 'cash for clunkers' or inventory restocking wash through. That makes it more likely that stimulus policies and low rates will remain in place.Yet tension is still building. Short-dated yields may stay low: Barclays Capital notes they just start to rise in earnest about six months before the first rate increase, which may only come in the second half of 2010. But market expectations could move quickly if data start to depict a recovery that goes beyond inventory restocking and emergency one-time stimulus effects.Volatility could spike as the U.S. and U.K. authorities wind down their bond purchases. The fine line authorities are treading between awakening risk appetite and keeping the bond market onside could then become much harder to walk.Richard Barley
With the rapid development of China's economy, the per capita share of cars has rapidly increased, bringing great convenience to people's lives. However, with it came a huge number of traffic accidents. A statistical data from Europe shows that if a warning can be issued to drivers 0.5 seconds before an accident occurs, 70% of traffic accidents can be avoided. Therefore, it is particularly important to promptly remind drivers of potential dangers to prevent traffic accidents from occurring. The purpose of this question is to construct a machine vision based driving assistance system based on machine vision, providing driving assistance for drivers during daytime driving. The main function of the system is to achieve visual recognition of pedestrians and traffic signs, estimate the distance from the vehicle in front, and issue a warning to the driver when needed. This driving assistance system can effectively reduce the probability of traffic accidents and ensure the safety of drivers' lives and property. The main research content of this article includes the following aspects: 1. Implement object detection based on the YOLOv5 model. Conduct research on convolutional neural networks and YOLOv5 algorithm, and develop an object detection algorithm based on YOLO5. Detect the algorithm through road images, and analyze the target detection algorithm based on the data returned after training. 2. Estimate the distance from the front vehicle based on a monocular camera. Study the principle of estimating distance with a monocular camera, combined with parameters fed back by object detection algorithms, to achieve distance estimation for vehicles ahead. Finally, the distance estimation function was tested and the error in the system's distance estimation was analyzed. 3. Design and implementation of a driving assistance system. Based on the results of two parts: target detection and distance estimation, an intelligent driving assistance system is constructed. The system is tested through actual road images, and the operational effectiveness of the intelligent driving assistance system is analyzed. Finally, the driving assistance system is analyzed and summarized.
06-03
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