中美债市分别调整

Report Industry Investment Rating - No information provided in the given content. Core Viewpoints of the Report - The adjustment of the US and Chinese bond markets is mainly due to the "hawkish" outlook of US monetary policy and the expectation of fiscal stimulus in China. The US bond yield rebounded, and the focus of the domestic bond market may shift to the expectation of fiscal stimulus. The production price index decreased, and the average daily trading area of commercial housing in 30 large and medium - sized cities decreased compared to the same period last year [2]. Summary by Relevant Catalogs High - frequency Data Panoramic Scan - The report presents various high - frequency data on food, other consumer goods, commodities, energy, metals, real estate, shipping, etc. For example, the average wholesale price of pork decreased by 1.16% week - on - week and 26.81% year - on - year; the 30 - city commercial housing trading area increased by 2.79% week - on - week [16]. High - frequency Data and Important Macroeconomic Indicators Trend Comparison - There are multiple charts showing the relationship between high - frequency data and important macroeconomic indicators such as industrial added value, PPI, CPI, export volume, etc., like the relationship between copper spot price year - on - year and industrial added value year - on - year (+PPI year - on - year) [24]. Important High - frequency Indicators in the US and Europe - Charts display indicators such as the US weekly economic indicators, initial jobless claims, same - store sales growth, and the Chicago Fed Financial Conditions Index, as well as the implied prospects of interest rate hikes/cuts by the US Federal Reserve and the European Central Bank [90][101]. Seasonal Trends of High - frequency Data - The seasonal trends of high - frequency data are presented, including the average daily output of crude steel, production price index, and the trading area of commercial housing in 30 large and medium - sized cities, etc. [103][112]. High - frequency Traffic Data in Beijing, Shanghai, Guangzhou, and Shenzhen - The year - on - year changes in subway passenger volume in Beijing, Shanghai, Guangzhou, and Shenzhen are shown [162][165].