Economic Outlook - The weighted economic growth target for 2026 has decreased from 5.28% in 2025 to 5.04%[7] - Only one province, Jiangxi, has increased its target, while 18 regions have lowered their targets or set them as ranges, indicating a focus on structural adjustments and new industry development[10] Labor Market Analysis - The January ADP employment report showed an increase of 22,000 jobs, below the expected 45,000 and the previous month's increase of 41,000[14] - The decline in job vacancies and a surge in layoffs suggest that the Federal Reserve may have underestimated the risks in the labor market[14] Monetary Policy Insights - In January, the central bank's net liquidity injection totaled 1.27 trillion yuan, ensuring ample liquidity at the start of the year[18] - The expectation for comprehensive interest rate cuts has weakened, despite increased liquidity measures[18] International Developments - The Japanese ruling party achieved a two-thirds majority in the House of Representatives, potentially initiating a constitutional amendment agenda, although challenges remain in the Senate[19] - The geopolitical risks in Japan have increased due to rising fiscal pressures and a shift towards a more conservative society[19] Market Performance - The Shanghai Composite Index fell by 1.27% last week, with the majority of major indices in decline, reflecting a cautious market sentiment ahead of the holiday[25] - The U.S. stock market showed mixed results, with the Nasdaq down 1.84% while the Dow Jones increased by 2.50%[27] Bond Market Trends - The 10-year U.S. Treasury yield decreased by 3 basis points to 4.21%, influenced by weak labor market data[29] - European bond yields showed varied movements, with German 10-year bonds yielding 2.84%[29] Commodity Market Movements - WTI crude oil prices fell by 2.55% to $63.6 per barrel, while gold prices increased by 1.43% to $4,964.4 per ounce[32] - The decline in oil prices is attributed to reduced geopolitical risks, while gold rebounded from previous lows[32] Currency Fluctuations - The U.S. dollar index rose by 0.66% to 97.6, while the onshore yuan appreciated by 0.32% to 6.94[34] - The appreciation of the yuan is driven by pre-holiday settlement demand[34] Risk Factors - Potential risks include unexpected changes in global macroeconomic data, geopolitical developments, and the pace of technological advancements[36]

| 冠 | | --- | | 指数表现 | A股 | 沪深300 | 上证50 | 创业板 | 中证500 | | --- | --- | --- | --- | --- | --- | | 收盘价 | 4123.09 | 4719.06 | 3081.78 | 3332.77 | 8311.28 | | 涨跌（%） | 1.41 | 1.63 | 1.45 | 2.98 | 2.02 | | 估值 | 沪深300 | 上证50 | 中证500 | 标普500 | 德国DAX | | PE(TTM) | 14.20 | 11.71 | 37.60 | 27.81 | 19.41 | | 环比变化 | 0.16 | 0.12 | 0.70 | 0.13 | 0.23 | | 风险溢价 | 沪深300 | 上证50 | 中证500 | 标普500 | 德国DAX | | 1/PE-10利率 | - | - | - | -0.61 | 2.31 | | 环比变化 | - | - | - | -0.01 | -0.06 | | 资金流向 | A股 | 主板 | 中小企业板 | 创业板 | 沪深300 | | 最新值 ...

全球宏观及大类资产配置周报 东证衍生品研究院 宏观策略组 2026年2月9日 国内宏观面消息平淡，股市资金缩量涌向低位的食品饮料、银行等板块，此前资金炒作板块拖累A股继续回 撤，短期难有较大行情，但春节前后随着两会临近，春季躁动仍未走完，债市短期的反弹幅度可能仍然受到 股票市场的压制。 二、全球大类资产走势一览 上海东证期货有限公司 目录 一、宏观脉络追踪 二、全球大类资产走势一览 三、大类资产周度展望 ——贵金属、外汇、美股、A股、国债 四、全球宏观经济数据跟踪 一、宏观脉络追踪 宏观脉络追踪 周五美伊双方在阿曼进行会谈，双方均同意继续对话，但针对核问谈判的核心分歧依然不可调和，特朗普再 次使用关税作为谈判武器，宣布对所有与伊朗有贸易往来的国家加征25%的额外关税，同时对伊朗的军事 威胁也并未彻底消除。高市早苗在选举中获得压倒性胜利，日本可能转向更加激进的财政刺激和军事扩张路 线，全球地缘政治风险仍未消除。商品市场继续消化沃什当选美联储主席带来的冲击，波动率依然维持高位。 科技公司激进的资本开支计划引发市场担忧，美股剧烈调整，但企业盈利稳健扩张，叠加2月大型科技公司 模型迭代计划密集，多空博弈加剧，仍未打破 ...

- The report does not contain any specific quantitative models or factors, nor their construction, evaluation, or backtesting results. The content primarily focuses on market performance, style indices, valuation, and other financial metrics without detailing any quantitative models or factors[1][2][3]

Quantitative Models and Construction Methods 1. Model Name: "Risk Preference-Concentration-Turnover" Three-Dimensional Label Classification System - **Model Construction Idea**: The model aims to classify multi-asset fund advisory products based on three dimensions: risk preference, concentration, and turnover rate, to better understand their risk-return characteristics and performance differentiation[3][32] - **Model Construction Process**: - **Risk Preference**: Classified based on the proportion of income-generating assets and growth assets in the portfolio. If income-generating assets exceed 70%, it is classified as debt-oriented; if growth assets exceed 70%, it is equity-oriented; otherwise, it is balanced[34] - **Concentration**: Measured using the Herfindahl-Hirschman Index (HHI), calculated as $ \sum_{i} w_{i}^{2} $, where $w_{i}$ represents the weight of each asset class. Thresholds are set as follows: HHI > 0.5 is high concentration, HHI < 0.25 is low concentration, and values in between are medium concentration[34] - **Turnover Rate**: Measures the timing adjustment ability of multi-asset fund advisory products at the asset class level. Annualized one-sided turnover rate is used, with thresholds defined as follows: turnover rate > 2 is high turnover, < 1 is low turnover, and values in between are medium turnover[34] - **Model Evaluation**: The model effectively captures the heterogeneity in multi-asset fund advisory products and provides insights into their risk-return characteristics and strategic differences[3][34] --- Model Backtesting Results 1. "Risk Preference-Concentration-Turnover" Three-Dimensional Label Classification System - **Risk Preference**: - Equity-oriented products: 2025 annualized return 18.5%, 2024 annualized return 10.5%, 2023 annualized return -1.0%[37][39] - Debt-oriented products: 2025 annualized return 7.4%, 2024 annualized return 5.9%, 2023 annualized return 3.9%[37][39] - Balanced products: 2025 annualized return 15.7%, 2024 annualized return 8.8%, 2023 annualized return -4.7%[37][39] - **Concentration**: - Low concentration (HHI < 0.25): 2025 annualized return 17.7%, 2024 annualized return 8.2%, 2023 annualized return 0.4%[37][39] - Medium concentration (0.25 ≤ HHI ≤ 0.5): 2025 annualized return 13.0%, 2024 annualized return 6.9%, 2023 annualized return -4.0%[37][39] - High concentration (HHI > 0.5): 2025 annualized return 7.8%, 2024 annualized return 6.9%, 2023 annualized return 3.9%[37][39] - **Turnover Rate**: - Low turnover (< 1): 2025 annualized return 15.6%, 2024 annualized return 8.8%, 2023 annualized return 1.7%[37][39] - Medium turnover (1 ≤ turnover ≤ 2): 2025 annualized return 10.6%, 2024 annualized return 7.3%, 2023 annualized return 0.5%[37][39] - High turnover (> 2): 2025 annualized return 11.2%, 2024 annualized return 7.6%, 2023 annualized return -5.4%[37][39] --- Quantitative Factors and Construction Methods 1. Factor Name: Brinson Attribution Model - **Factor Construction Idea**: The model decomposes the excess return of multi-asset fund advisory products into two components: allocation return and selection return, to evaluate the sources of excess returns[42][46] - **Factor Construction Process**: - **Allocation Effect**: Measures the timing and allocation ability of fund managers across major asset classes. The formula is: $$ R_{allocation} = \sum_{i} (w_{i}^{actual} - w_{i}^{benchmark}) \times r_{i}^{asset} $$ where $w_{i}^{actual}$ is the actual weight of asset $i$, $w_{i}^{benchmark}$ is the benchmark weight, and $r_{i}^{asset}$ is the return of asset $i$[42][46] - **Selection Effect**: Reflects the ability to select superior funds within each asset class. The formula is: $$ R_{selection} = R_{excess} - R_{allocation} $$ where $R_{excess}$ is the total excess return relative to the benchmark[42][46] - **Factor Evaluation**: The model provides a clear decomposition of excess returns, helping to identify whether returns are driven by strategic asset allocation or fund selection[42][46] --- Factor Backtesting Results 1. Brinson Attribution Model - **Equity-Oriented Products**: - Example: "Guotai Global Allocation" achieved 2025 allocation return of 10.5% and selection return of 6.3%[48][49] - Example: "招商海外掘金" achieved 2025 allocation return of -0.8% and selection return of 14.5%[48][49] - **Debt-Oriented Products**: - Example: "嘉实百灵全天候策略" achieved 2025 allocation return of 3.8% and selection return of 0.5%[56][58] - Example: "全球固收+" achieved 2025 allocation return of 2.6% and selection return of 1.3%[56][58] - **Balanced Products**: - Example: "时光旅行者" achieved 2025 allocation return of 15.6% and selection return of -10.3%[65][66] - Example: "绘盈长投计划" achieved 2023 allocation return of 10.1%, providing a strong safety net during a bear market[65][66]

Core Viewpoint - The recent volatility in the gold market has been dramatic, with prices soaring to over $5,500 per ounce before experiencing a sharp decline of nearly 7% within 28 minutes, reflecting a "roller coaster" effect in gold prices [1][2]. Group 1: Underlying Logic of Gold Price Movements - Gold does not produce GDP or pay dividends, but it serves a unique role in assessing currency credibility, especially as U.S. federal debt surpasses $38 trillion and the dollar's share in global central bank reserves declines by 14% over the past decade [6]. - The net purchase of gold by global central banks is projected to reach 863 tons by 2025, with China increasing its holdings for 14 consecutive months, indicating a strategic shift towards gold as a safeguard for future monetary order [6]. Group 2: Factors Contributing to the Volatility - The volatility is characterized by three key rhythms: 1. Policy rhythm: The Federal Reserve's expected three interest rate cuts in 2025 and continued easing in 2026, which lowers real interest rates [7]. 2. Sentiment rhythm: The shift in international geopolitical conflicts from isolated incidents to widespread tensions, increasing strategic demand for safe-haven assets [7]. 3. Technical rhythm: After breaking the $4,000 mark, the RSI reached 92, leading to a concentration of leveraged funds that triggered a chain reaction of liquidations during market fluctuations [7]. Group 3: Historical Context of Gold Bull Markets - Historical patterns show that gold bull markets often emerge during periods of significant economic or geopolitical turmoil, such as the breakdown of the Bretton Woods system in the 1970s, which saw gold prices rise from $35 to over $800 per ounce [8]. - Other notable periods include the aftermath of 9/11, the Iraq War, and the subprime mortgage crisis, where gold prices surged from $270 to $1,920 [8]. - Since 2020, factors like the pandemic, wars, AI revolution, and debt explosion have driven gold prices from $1,270 to $4,900, indicating that each major cycle begins when confidence in mainstream currencies shows signs of strain [8]. Group 4: Investment Recommendations for Gold - Investors are advised to maintain a rational approach to gold market fluctuations, using gold as a part of asset allocation to diversify risk rather than engaging in speculative trading [9]. - A recommended allocation of around 10% of total assets to gold is suggested, with dynamic adjustments based on market conditions, ensuring a balance between defensive and feasible investment strategies [9]. - It is recommended to build positions gradually rather than making lump-sum investments, utilizing standardized, low-cost vehicles like gold ETFs for better liquidity and lower fees, suitable for long-term holding [9].

Group 1 - The report indicates that in January 2026, domestic asset BL strategy 1 achieved a return of 1.55%, while strategy 2 achieved 1.65%. The risk parity strategy yielded 0.94%, and the macro factor-based strategy returned 1.4% [1][4][19]. - The performance of major asset classes in January 2026 showed that gold led the gains with an increase of 18.48%, followed by the CSI 1000 at 8.68%, and the Nanhua Commodity Index at 8.61% [7][8]. - The report highlights the correlation between various asset classes, noting that the correlation between the CSI 300 and the total wealth index of government bonds was -32.28%, indicating a potential for diversification [13][15]. Group 2 - The macroeconomic outlook as of January 2026 shows a manufacturing PMI of 49.3%, indicating a contraction, while the non-manufacturing PMI also fell to 49.5%, suggesting a weak economic recovery [43]. - Inflation indicators show that the CPI rose by 0.8% year-on-year in December 2025, with expectations for a further increase to around 0.47% in January 2026 due to seasonal effects [44]. - The report discusses liquidity conditions, stating that the banking system remains "reasonably ample and slightly loose," which is expected to support economic stabilization in the first quarter [46]. Group 3 - The domestic asset BL strategy 1 has a maximum drawdown of 0.23% and an annualized volatility of 2.54%, while strategy 2 has a maximum drawdown of 0.35% and an annualized volatility of 2.64% [20][30]. - The risk parity strategy has a return of 0.94% with a maximum drawdown of 0.24% and an annualized volatility of 1.43%, indicating its stability compared to other strategies [39]. - The macro factor-based asset allocation strategy achieved a return of 1.4% with a maximum drawdown of 0.5% and an annualized volatility of 2.73%, reflecting its effectiveness in the current market environment [47].

Report Industry Investment Rating - Not provided in the given content Core Viewpoints - Overseas macro: Kevin Warsh's nomination as a candidate for the new Fed Chair is expected to have limited impact on the market. His policy stance on quantitative tightening may be difficult to implement. The market's expectations for the US monetary policy path are unlikely to change significantly, and investors should also monitor the US-Iran situation and the US government shutdown [9]. - Domestic macro: The domestic market is expected to continue with positive policy expectations. In Q1, there is a growing expectation that policies will be intensified to achieve a good start for the economy in the 15th Five-Year Plan. The overall policy environment is favorable, which supports a bullish view on risk assets in Q1 [9]. - Asset views: Structured opportunities in portfolio allocation are emphasized. It is recommended to overweight IC and non-ferrous metals (copper, aluminum, tin). The domestic policy expectations, loose liquidity, and inflation recovery expectations can support the upward movement of the equity market. Treasury bonds are neutral, with better short - end opportunities but limited odds. The precious metals sector has high short - term volatility, and it is recommended to wait for volatility to decline. Non - ferrous metals are relatively strong and can be considered for right - side allocation after a pullback. Black commodities are range - bound, and crude oil has high uncertainty, so it is advisable to stay on the sidelines [9]. Summary by Related Catalogs 1. Market Price and Performance Data Index Futures and Treasury Bonds - On February 5, 2026, most index futures showed declines, such as the CSI 500 futures with a daily decline of - 1.59% and a weekly decline of - 2.9%. Treasury bond futures generally rose, with the 30 - year Treasury bond futures having a daily increase of 0.32% and a weekly increase of 0.22% [2]. Foreign Exchange - The US dollar index rose by 0.27% on February 5, 2026, and the US dollar intermediate price decreased by 25 pips. The 7 - day inter - bank pledged repo rate decreased by 0.95 bp [2]. Interest Rates - The 10Y US Treasury yield increased by 1 bp on February 5, 2026, and the US Treasury 10Y - 2Y spread increased by 1 bp [2]. Industry Index - On February 5, 2026, industries such as consumer services, textile and apparel, and food and beverage showed increases, while industries like non - ferrous metals, steel, and machinery showed declines [4]. Domestic Commodities - On February 5, 2026, commodities such as shipping (container shipping to Europe) and fuel oil showed increases, while precious metals (silver) and non - ferrous metals (nickel) showed significant declines [5]. Overseas Commodities - On February 4, 2026, overseas energy commodities such as NYMEX WTI crude oil and ICE Brent crude oil rose, while NYMEX natural gas fell. Precious metals like COMEX gold and COMEX silver also rose [6]. 2. Sector Analysis Financial Sector - Stock index futures: The stock market closed down with shrinking trading volume, and the consumer sector strengthened seasonally. The short - term outlook is for a range - bound increase [10]. - Stock index options: The implied volatility showed a differentiated trend, indicating a range - bound game sentiment. The short - term outlook is range - bound [10]. - Treasury bond futures: Treasury bond futures rose across the board. The short - term outlook is range - bound, and factors to watch include the implementation of monetary policy, risk appetite, and government bond issuance [10]. Precious Metals Sector - Gold: Geopolitical tensions eased, and the "Warsh trade" suppressed liquidity expectations. The short - term outlook is range - bound, and factors to watch include the US economic fundamentals, Fed monetary policy, and geopolitical trends [10]. - Silver: The structural tightness in the spot market eased, and the "Warsh trade" suppressed liquidity expectations. The short - term outlook is range - bound, and factors to watch are similar to those for gold [10]. Shipping Sector - Container shipping to Europe: Spot freight rates were under pressure, and shipping companies cut prices to attract cargo before the festival. The short - term outlook is range - bound, and factors to watch include spot market freight rate changes, geopolitical sentiment, and the risk of price wars among shipping companies [10]. Black Building Materials Sector - Steel products: Cost support weakened, and the futures market was under pressure. The short - term outlook is range - bound, and factors to watch include the progress of special bond issuance, steel exports, and hot metal production [10]. - Iron ore: Hot metal production increased slightly, and inventories continued to accumulate. The short - term outlook is range - bound, with factors such as overseas mine production and shipping, domestic hot metal production, weather conditions, port ore inventories, and policy dynamics to be monitored [10]. - Coke: Profits recovered, supply increased, and the demand from hot metal production provided support. The short - term outlook is range - bound, and factors to watch include steel mill production, coking costs, and mid - downstream restocking [10]. - Coking coal: Restocking was nearly completed, and the futures and spot markets were range - bound. The short - term outlook is range - bound, and factors to watch include coal mine resumption, Mongolian coal imports, and mid - downstream restocking [10]. Non - ferrous Metals and New Materials Sector - Nickel: There was a game between expected policies and weak reality, and nickel prices were range - bound. The short - term outlook is for a range - bound increase, and factors to watch include unexpected macro and geopolitical changes, Indonesian policy risks, and insufficient supply release [10]. - Tin: Market sentiment was weak, and tin prices continued to adjust. The short - term outlook is for a range - bound increase, and factors to watch include the expected resumption of production in Wa State and changes in demand improvement expectations [10]. - Copper: The US dollar index continued to rise, and copper prices were under short - term pressure. The short - term outlook is for a range - bound increase, and factors to watch include supply disruptions, unexpected domestic policies, less - than - expected dovish stance of the Fed, and less - than - expected domestic demand recovery [10]. - Aluminum: Inventories continued to accumulate, and aluminum prices declined. The short - term outlook is for a range - bound increase, and factors to watch include macro risks, supply disruptions, and less - than - expected demand [10]. Energy and Chemical Sector - Crude oil: Supply pressure remained, and geopolitics dominated the rhythm. The short - term outlook is range - bound, and factors to watch include OPEC+ production policies and geopolitical situations [12]. - LPG: Chemical demand weakened, and attention should be paid to Iranian risks. The short - term outlook is range - bound, and factors to watch include cost - side developments such as crude oil and overseas propane [12]. Agricultural Sector - Natural rubber: Short - term support was still effective. The short - term outlook is range - bound, and factors to watch include production area weather, raw material prices, and macro changes [12]. - Synthetic rubber: The futures market had high elasticity, and attention should be paid to the lower - bound support. The short - term outlook is range - bound, and factors to watch include significant fluctuations in crude oil prices [12]. - Cotton: It was range - bound and lacked a unilateral trend before the festival. The short - term outlook is for a range - bound increase, and factors to watch include production and demand [12]. - Sugar: Brazilian sugar exports still had potential, and the medium - to - long - term outlook was for a range - bound decline. The short - term outlook is for a range - bound decline, and factors to watch include Brazilian port logistics, lower - than - expected northern hemisphere production, and macroeconomic fluctuations [12].

Core Viewpoint - The report suggests that the liquidity crisis is intensifying market volatility, which will accelerate the repricing of major asset classes. Global equities and commodities may still present performance opportunities, recommending an overweight in AH shares, US stocks, crude oil, and industrial commodities for February [1]. Group 1: Strategic Asset Allocation (SAA) and Tactical Asset Allocation (TAA) - The "all-weather" asset allocation framework consists of SAA, TAA, and adjustments based on significant events, providing a comprehensive guide for investment decisions. SAA diversifies macro risks and sets long-term allocation benchmarks for portfolio stability, while TAA identifies short-term risk-return characteristics to adjust portfolio weights for enhanced returns [1]. - The report emphasizes that the liquidity crisis will lead to accelerated repricing of major asset classes, with global equities and commodities likely to perform well despite unchanged fundamental pricing factors [1]. Group 2: Equity Allocation Recommendations - For February 2026, the recommended equity allocation weight is 47.50%, with overweight positions in A-shares (10.00%), Hong Kong stocks (10.00%), and US stocks (17.50%). European and Japanese stocks are set at standard weights of 5.00% each [2]. - Multiple factors support the performance of Chinese equities, suggesting an overweight in A/H shares due to an expected expansion of the fiscal deficit and more aggressive economic policies. The anticipated interest rate cut by the Federal Reserve and the stable appreciation of the RMB provide favorable conditions for monetary easing in China [2]. - The report indicates that the "Goldilocks" scenario is emerging, which is beneficial for US stock performance, as the US economy shows resilience despite marginal cooling, with corporate earnings expectations likely to support upward movement in US stock indices [2]. Group 3: Bond Allocation Recommendations - The recommended bond allocation weight for February 2026 is 35.00%, with allocations to long-term (7.50%) and short-term (10.00%) government bonds, as well as long-term (7.50%) and short-term (10.00%) US Treasury bonds [3]. - Structural monetary policies are expected to strengthen the allocation towards government bonds, as the imbalance between financing demand and credit supply remains a reality. The trend of rising risk appetite may lead to a rebalancing of asset allocations by households and enterprises [3]. - The report notes that while the US economy is converging, it is not in a downturn, with a moderate cooling labor market and declining energy prices contributing to lower inflationary pressures. However, geopolitical tensions and the US government's actions may weaken the creditworthiness of US Treasuries [3]. Group 4: Commodity Allocation Recommendations - The recommended commodity allocation weight for February 2026 is 12.50%, with standard allocations to gold (5.00%) and overweight positions in crude oil (3.75%) and industrial commodities (3.75%) [4]. - The report suggests an overweight in crude oil due to escalating geopolitical tensions in the Middle East, which may provide temporary support for oil prices despite weak global demand [4]. - Industrial commodities are expected to benefit from revised demand forecasts and sustained trading momentum, with copper experiencing supply-demand imbalances driven by construction, electric grid modernization, and electric vehicle demand [4].

Core Viewpoint - Convertible bonds, known as "convertible corporate bonds," provide a balance of debt protection and equity upside, allowing investors to lock in downside risk while benefiting from stock price appreciation. In the past year, A-shares' recovery has led convertible bond funds to achieve an average annual return of 22.28%, outperforming other fixed-income funds. In a low-interest-rate and volatile bond market, convertible bond funds have garnered significant investor interest. This article introduces two funds that primarily focus on convertible bond strategies, highlighting their differences in asset allocation and security selection, which result in varying risk-return profiles [1]. Group 1: Fund Basic Information - The two funds discussed are the Dongfanghong Ju Li Bond Fund and the Xingquan Convertible Bond Mixed Fund, with the former established in September 2019 and managed by Kong Lingchao, who has 14 years of experience in securities management. The latter has been managed by Yu Miao since January 2019, with 15 years of experience in the same field [3][4]. Group 2: Investment Team - Kong Lingchao has a background in macro interest rates and stock strategy research, while Yu Miao focuses on rights-related assets. Both managers maintain a stable workload, with Kong managing 8 products totaling 25.3 billion and Yu managing 3 products totaling 4.1 billion [4][5]. Group 3: Investment Process - The Dongfanghong Ju Li Bond Fund adopts a bottom-up approach for selecting convertible bonds, while the Xingquan Convertible Bond Mixed Fund has a higher stock allocation limit of 30%. The former can flexibly adjust its convertible bond allocation between 0%-140%, while the latter maintains a stock allocation of 20%-30% and a convertible bond allocation of 50%-65% [7][8]. Group 4: Performance Comparison - Both funds generally maintain lower convertible bond allocation ratios compared to their peers. The Xingquan fund exhibits a more stable stock investment approach, focusing on value style, while the Dongfanghong fund's flexible allocation may underperform during high valuation periods but shows stronger resilience during market volatility [12][13]. Group 5: Fees - Both funds have comprehensive fee rates below the industry average, with the Dongfanghong Ju Li Bond Fund having lower management, custody, and transaction fees compared to the Xingquan Convertible Bond Mixed Fund [15].