固定收益专题报告:提高超长信用债胜率的思考
- Report Industry Investment Rating There is no information provided regarding the report's industry investment rating in the given content. 2. Core Viewpoints of the Report - Investing in ultra - long credit bonds is challenging due to high volatility. Since 2024, their yields have gone through multiple stages including rapid decline, adjustment, and oscillation [11]. - To improve the allocation win - rate, one can measure the cost - effectiveness of extending duration through credit spreads, understand institutional allocation behavior patterns, decide entry based on trading sentiment, and select high - liquidity value entities [4]. - The long - term stable market of ultra - long credit bonds generally requires continuous buying from trading accounts such as funds and wealth management products. Insurance mainly helps stabilize prices during market adjustments [50]. 3. Summary by Relevant Catalogs 3.1 High - Volatility Ultra - Long Credit Bonds - Yield Fluctuation Stages: Since 2024, the yields of ultra - long credit bonds have experienced 3 bull markets, 2 adjustments, and 1 oscillation. For example, from January to March 2024, the yields declined slightly at first and then increased due to various events; from April to July 2024, the demand for ultra - long credit bonds increased under institutional under - allocation pressure [11]. - Volatility and Investment Difficulties: Although the volatility of ultra - long credit bonds in the second quarter of 2025 was lower than the same period last year, it was still higher than most of 2024 from January to April. The high volatility provides capital gain opportunities but is difficult for band - trading due to liquidity issues [16]. 3.2 How to Improve Allocation Win - Rate 3.2.1 Measure the Cost - Effectiveness of Extending Duration through Credit Spreads - Credit Spread Channels: By using the 30 - day average of credit spreads to form upper and lower tracks, when the credit spread touches the upper track, there is a large compression space, and when it touches the lower track, it may rebound. However, this indicator has some limitations and should be combined with other factors [21]. - Term Spread Channels: Similar to credit spreads, term spread channels can also be used to predict market trends. But they also have limitations in considering factors such as institutional behavior and policy changes [24]. - Credit Spread Quantiles: As of July 4, 2025, the credit spreads of some long - term bonds are at relatively low quantiles, indicating limited further compression space [27]. 3.2.2 Grasp the Laws of Institutional Allocation Behavior - Insurance: Ultra - long credit bonds match the duration of insurance products and can alleviate the asset shortage problem. Insurance is a stable buyer, but its buying volume is affected by the supply rhythm of interest - rate bonds and the "good start" seasonal pattern [32]. - Wealth Management: Due to bank quarterly assessments and fund repatriation, wealth management scale usually declines at the end of the quarter and rebounds at the beginning. In recent four years, there have been relatively large month - on - month increases in April and July, leading to an increased demand for credit bonds [38]. - Public Funds: Ultra - long credit bonds are attractive for their coupon income and duration offensive. Funds tend to extend duration in a bull market but increase selling during market adjustments [42]. - Credit Bond ETFs: Since late May, credit bond ETFs have expanded rapidly. By July 4, 2025, the scale of 8 benchmark - making market - making credit bond ETFs had increased to 13.22 billion yuan, which has promoted the bull market of ultra - long credit bonds [45]. 3.2.3 Decide Entry Based on Trading Sentiment - Currently, the sentiment of bond market investors participating in long - term credit bonds is over - heated. The trading deviation of credit bonds over 10 years has approached the levels during the strongest rising periods in 2024. However, the over - crowded market is increasing potential adjustment risks [53]. 3.2.4 Layout High - Liquidity Value Entities - When the ultra - long credit bond market starts, one can focus on the outstanding bonds of entities with large outstanding ultra - long bond scales and ratings of AA+ or above. For example, State Grid, Chengtong Holdings, and Sinochem Group have relatively large outstanding scales [60]. - Further, one can select entities with higher term spreads than the market average, indicating potential for long - term bond interest rate compression [61].