【广发宏观陈礼清】高波动遇上真空期：大类资产配置月度展望

Core Viewpoint - The performance of major asset classes in January 2026 shows a trend where the Korean Composite Index outperformed other assets, with significant volatility in precious metals leading to a broad adjustment across asset classes [1][14]. Group 1: Asset Performance - In January 2026, the ranking of major asset classes was as follows: Korean Composite Index > Crude Oil > Gold > Sci-Tech 50 > Nanhua Composite > Hang Seng Index > Nikkei 225 > Long VIX > Shanghai Composite Index ≈ Hengke > S&P 500 > Nasdaq > China Bond > US Dollar [1][14]. - The commodity market experienced structural upward trends driven by both long-term narratives and short-term realities, with gold and silver showing volatility but not losing their gains [2][21]. - The global stock markets are entering a critical earnings disclosure period, with all major markets showing gains, and a shift in leading stocks within the US market [2][24]. Group 2: Macroeconomic Insights - The macroeconomic landscape is characterized by a synchronous rise in hard and soft data indices in the US and Japan, while Europe shows a V-shaped reversal in its data [4]. - China's soft data indicators are inconsistent, with hard data in a vacuum period, but nominal GDP growth is estimated at 4.94% for January, indicating a solidifying trend of improvement [4][21]. - The domestic stock and bond markets have shifted from a "seesaw" dynamic to "synchronous volatility," with the stock market experiencing a spring rally and the bond market undergoing a correction [2][4]. Group 3: Investment Strategies - The next driving factors for equity assets may stem from price increases and solidified inflation expectations, with a focus on domestic demand recovery post-holiday [5]. - The "M1-BCI-PPI timing system" indicates a slight expansion in scores, suggesting a supportive environment for risk assets despite a convergence in narratives [6]. - The bond market is showing signs of improvement in relative value, with the yield spread between 10-year government bonds and dividend yields indicating a return to a more favorable position for bonds [7]. Group 4: Sector Performance - The technology sector is currently underweighted compared to the overall market, with a significant drop in the score of high-growth assets due to internal and external liquidity conditions [9]. - The dividend asset timing model suggests that macro conditions do not favor dividends significantly, maintaining a low allocation relative to the overall market [10]. - The energy sector has shown strong performance, driven by geopolitical safety premiums and narratives around AI industrial energy consumption [24].