Summary of Conference Call Records Industry and Company Overview - The analysis focuses on the macroeconomic cycle and its implications for equity investment strategies, particularly in the context of the Chinese stock market, including indices such as the CSI 300 and the ChiNext Index [1][2][6]. Core Insights and Arguments - The Pring cycle model categorizes the economic cycle into three main phases: recovery, overheating, and recession. As of 2025, the current phase is identified as the end of recovery, with expectations of entering an overheating phase in the second half of 2026 [1][4]. - The model is supplemented by macroeconomic indicators such as PMI, PPI, M1, and M2, which are analyzed to confirm current economic trends. A positive macro trend signal has been identified, supporting an optimistic market outlook [1][5]. - Investment strategies are divided into defensive and offensive approaches. Defensive strategies focus on stable assets like the CSI 300 and low-volatility dividend stocks, while offensive strategies include allocations to the ChiNext Index and cyclical industries as the market progresses [1][8][9]. - Specific recommendations for asset allocation include sectors such as power equipment, renewable energy, consumer services, machinery, and steel. As the macroeconomic data becomes more positive, attention may shift towards electronics, battery cells, home appliances, and food and beverage sectors [3][12]. Additional Important Content - A threshold system is implemented to mitigate the impact of short-term volatility on investment decisions, with specific thresholds set at 65% and 35% to signal shifts in market conditions [1][5]. - Historical performance analysis indicates that the CSI 300 underperformed in 2017 due to misjudgment of the market's overheating phase, while the ChiNext Index performed better due to more aggressive strategies [7][11]. - The methodology has shown resilience, allowing for adjustments based on market conditions, which has led to outperforming the market since late 2021 [11]. - Future investment recommendations emphasize a balanced approach, maintaining a mix of growth-oriented assets while also considering defensive positions to manage risk effectively [6][13].

Economic Overview - The national economy shows a stable and progressive development trend, with macro policies being actively implemented to promote high-quality growth and a unified national market [3][4]. Key Economic Indicators - Grain production reached 14,298 billion jin, an increase of 167.5 billion jin or 1.2% year-on-year, maintaining above 14 trillion jin [4]. - The industrial added value for large-scale industries grew by 6.0% year-on-year from January to November [4]. - The service sector production index increased by 5.6% year-on-year during the same period [4]. Consumer and Investment Trends - The total retail sales of consumer goods amounted to 456,067 billion yuan, reflecting a year-on-year growth of 4.0% [5]. - Fixed asset investment (excluding rural households) totaled 444,035 billion yuan, showing a year-on-year decline of 2.6%. However, excluding real estate development investment, fixed asset investment grew by 0.8% [5]. Trade Performance - The total value of goods import and export reached 412,076 billion yuan, with a year-on-year increase of 3.6%. Exports were 244,579 billion yuan, up by 6.2%, while imports were 167,498 billion yuan, increasing by 0.2% [6]. Employment and Price Stability - The average urban survey unemployment rate was 5.2% from January to November [6].

Report Highlights Report Industry Investment Rating - Not provided in the report Core Viewpoints - The report provides a weekly hotspots preview, focusing on various economic data releases and policy decisions that could impact the futures market, including domestic and international macro - economic indicators, central bank interest rate decisions, and employment data [2][5][7] Summary by Directory December 15th - **70 Cities' Residential Sales Price Report**: National Bureau of Statistics to release November report at 09:30 [4] - **National Economic Situation Press Conference**: Expected November industrial added - value growth of 5.0% (previous 4.9%), 1 - 11 cumulative urban fixed - asset investment decline of 2.3% (1 - 10 cumulative decline of 1.7%), November social consumption retail growth of 2.8% (previous 2.9%), and November survey unemployment rate of 5.1%. Data may mildly affect futures prices [5] - **11th Month Energy Production Report**: National Energy Administration to release report at 10:00, with impact on related futures prices [6] - **11th Month Main Industrial Product Output**: National Bureau of Statistics to release data on steel, etc. at 10:00, affecting industrial futures prices [8] - **US December New York Fed Manufacturing Index**: Expected value of 10.5 (previous 18.7) at 21:30 [9] December 16th - **Eurozone December SPGI Manufacturing PMI Initial Value**: Expected value of 49.9 (previous 49.6) at 17:00 [10] - **Germany December IFO Business Climate Index**: Expected value of 40 (previous 38.5) at 17:00 [11] - **US November Non - Farm Payroll Report**: Expected seasonally - adjusted new non - farm employment of 3.5 million (previous 11.9 million in September), unemployment rate of 4.4%. A significant drop may affect precious and industrial metal futures prices [12] - **US October Retail Sales**: Expected monthly rate of 0.2% (same as previous), core retail sales monthly rate of 0.3% (same as previous) at 21:30 [13] - **US November Industrial Output**: Expected monthly rate of 0.1% (same as previous) at 22:15 [14] - **US December SPGI Manufacturing PMI Initial Value**: Expected value of 52.5 (previous 52.2). A slight increase may affect industrial and precious metal futures prices [16] December 17th - **US EIA Crude Inventory Change**: EIA to release data for the week ending December 12 at 23:30. A continued decline may boost crude and related commodity futures prices [17] December 18th - **UK Central Bank Interest Rate Decision**: Expected to cut the benchmark rate from 4.00% to 3.75% at 20:00 [18] - **European Central Bank Interest Rate Decision**: Expected to keep the December benchmark rate unchanged at 21:15, with a press conference by President Lagarde at 21:45 [19] - **US November CPI**: Due to government shutdown, 10 - month data may be included in the 11 - month report, and monthly increase percentage may not be available. Released at 21:30 [20] - **US Initial Jobless Claims**: Expected 24.0 million (previous 23.6 million) at 21:30. A slight increase may affect futures prices [21] - **US December Philadelphia Fed Manufacturing Index**: Expected value of 2.1 (previous - 1.7) at 21:30 [22] December 19th - **Japanese Central Bank Interest Rate Decision**: Expected to raise the benchmark rate from 0.50% to 0.75% at 11:00, with a press conference by Governor Ueda Kazuo at 14:30 [24] - **US Third - Quarter GDP Final Value**: Expected annualized quarterly rate of 3.0% at 21:30 [25] - **US November PCE Price Index**: Expected annual rate of 2.8% (same as previous in September), core PCE annual rate of 2.8% (same as previous in September) at 21:30 [26] - **US November Existing Home Sales**: Expected annualized total of 414 million (previous 410 million). A slight increase may boost non - ferrous metal futures prices [27] - **Eurozone December Consumer Confidence Index Initial Value**: Expected value of - 14 (previous - 14.2) at 23:00 [28]

Core Insights - The China Financial Situation Index (CAFI) indicates a gradual recovery in China's financial landscape, moving away from a cold phase, although the foreign exchange and bond markets remain constraints [1][10] - The report suggests maintaining a loose monetary policy and leveraging the Federal Reserve's interest rate cuts to attract international capital back to China, providing new momentum for economic recovery [1][10] Index Construction Methodology - The CAFI is based on the intrinsic relationship between financial activities and the real economy, comprising six sub-market indices: Money Supply Index (MSI), Credit Situation Index (CSI), Stock Market Index (SSI), Bond Market Index (BSI), Exchange Rate Pressure Index (EPI), and Real Estate Situation Index (RSI) [3][4] - The index is designed to provide a quantifiable assessment of China's overall financial situation, reflecting the operational status and structural changes within the financial system [3][4] Current Financial Situation Analysis - As of Q3 2025, the MSI and CSI are in a moderately positive state, indicating a mild recovery in the banking credit market [7][8] - The SSI is also in a positive state, while the BSI shows a slight cooling, reflecting a "see-saw" effect between the stock and bond markets [7][8] - The EPI is currently the lowest among the indices, indicating moderate cooling, primarily due to the impact of the Federal Reserve's interest rate hikes [8] Future Outlook and Policy Predictions - The CAFI index for Q3 2025 shows signs of recovery, with values indicating a shift from a moderately cold state to a warming trend, although the recovery is not yet solidified [10] - Monetary policy is expected to remain moderately loose to support economic recovery and counter deflationary pressures, while credit policies will focus on key economic areas [10][11] - The opening of the Federal Reserve's interest rate cut cycle presents an opportunity to alleviate pressure on the RMB exchange rate and attract international capital, which could be crucial for the financial situation's improvement [11]

Core Insights - The 2025 Shenzhen International Financial Conference highlighted the gradual recovery of China's financial situation, as indicated by the China Financial Situation Index (CAFI) [1][2] - The CAFI, developed over six years, effectively reflects financial cycles and has predictive capabilities for key macroeconomic indicators like GDP and CPI [1][3][6] Index Construction Methodology - The CAFI is based on the intrinsic relationship between financial activities and the real economy, comprising six sub-market indices: monetary, credit, stock, bond, exchange rate, and real estate [3][4] - The index uses a standardized scoring system ranging from -100 to +100, with specific ranges indicating varying states of financial health [4] Current Financial Situation Analysis - As of Q3 2025, the overall financial situation in China is showing signs of initial recovery, with the CAFI index at 3.88 (equal weight) and 3.34 (volatility inverse weight), both indicating a "mildly positive" state [10] - The monetary market index and credit situation index are both in a "mildly positive" state, while the bond market index is showing signs of being "slightly cold" [7][10] - The exchange rate pressure index is the lowest among the sub-indices, reflecting ongoing pressures from the U.S. Federal Reserve's interest rate hikes, although recent rate cuts may alleviate some of this pressure [8] Future Outlook and Policy Predictions - The financial situation is expected to continue its recovery, supported by a likely sustained accommodative monetary policy to combat deflationary pressures [10][11] - Policies will focus on guiding incremental capital into financial markets, breaking the current standoff between stock and bond markets, and enhancing investor protection [11] - The anticipated U.S. interest rate cuts present an opportunity for China to attract international capital, which could bolster the financial situation and support economic recovery [11]

Group 1 - The U.S. government has officially ended a 43-day shutdown, which was the longest in history, resulting in a significant amount of missing economic data, including CPI releases [1] - The Bank of Japan's October meeting summary suggests a potential interest rate hike as early as December [1] - Key upcoming events include the release of various economic data such as non-farm payrolls and Nvidia's earnings report, as well as the Federal Reserve's monetary policy meeting minutes [1] Group 2 - China's M2 money supply year-on-year growth rate for October was reported at 10.5%, slightly below the forecast of 10.9% [1] - Important economic indicators to watch this week include the unemployment rate and initial jobless claims in the U.S. [1] - The release dates for various economic indicators and reports from multiple countries, including the Eurozone's manufacturing PMI and the University of Michigan's consumer sentiment index, are highlighted [1]

Economic Overview - The National Bureau of Statistics is set to release October economic data on November 14, with expectations of a slowdown in multiple macro indicators due to a higher base in 2024 and increased external uncertainties [2] - The latest "Chief Economist Confidence Index" from the First Financial Research Institute stands at 50.3, indicating stable economic performance and a projected annual growth target of 5% for the year [2] Industrial Growth - Economists predict a year-on-year industrial added value growth of 5.7% for October, down from 6.5% in the previous month [3] - The manufacturing PMI for October is reported at 49.0%, a decrease of 0.8 percentage points from the previous month, indicating a contraction in manufacturing activity [3][4] - High-frequency data shows a decline in production indices, with steel production maintaining a high operating rate of 84.38% in October, reflecting a strong demand in the "golden September and silver October" season [4] Consumer Spending - The forecast for year-on-year growth in social retail sales for October is 2.7%, down from 3% in the previous month [5] - The non-manufacturing business activity index for October is at 50.1%, indicating expansion, driven by holiday consumption during the National Day and Mid-Autumn Festival [5] - The "old-for-new" policy is expected to significantly boost consumption in related sectors, contributing to a high base effect for October [5] Automotive Industry - In October, China's automotive production and sales reached 3.359 million and 3.322 million units, respectively, marking year-on-year increases of 12.1% and 8.8% [6] - New energy vehicle production and sales also saw significant growth, with year-on-year increases of 33.1% and 32.7% [6] Infrastructure Investment - Fixed asset investment is projected to decline by 0.8% year-on-year for the first ten months of the year, with infrastructure investment showing signs of recovery due to new policy financial tools [7][8] - The construction PMI for the civil engineering sector has shown slight improvement, indicating potential stabilization in infrastructure investment [7] Policy Measures - The government has intensified growth stabilization policies, with 500 billion yuan in new policy financial tools fully allocated to support key investment projects [10] - Local governments are actively deploying measures to boost consumption and investment, including issuing consumption vouchers and launching major infrastructure projects [10][11]

Financial Data and Key Metrics Changes - Upstart reported a total revenue of approximately $277 million for Q3 2025, representing a 71% year-on-year increase and an 8% sequential increase [23] - GAAP net income for Q3 was approximately $32 million, significantly ahead of expectations, reflecting strong performance on net interest income and reduced fixed costs [26] - The average loan size decreased by 12% from the prior quarter to approximately $6,670, influenced by borrowers requesting lower amounts and a shift towards smaller loan products [24] Business Line Data and Key Metrics Changes - Transaction volume across Upstart's platform reached approximately 428,000, up 128% year-on-year and 15% sequentially, with around 300,000 new borrowers [24] - New products, including small-dollar loans, auto, and home loans, accounted for nearly 12% of originations and 22% of new borrowers in Q3, with transaction volume for these products growing approximately 300% year-on-year [8][9] - The auto retail business saw transaction volume grow more than 70% sequentially, with significant improvements in software and expansion into four new states [9] Market Data and Key Metrics Changes - Consumer demand for Upstart's services continued to grow, with over two million applications submitted in Q3, a 30% increase from Q2, marking the highest level in over three years [6] - The Upstart Macro Index (UMI) showed a modest increase in July and August, which led to a temporary reduction in approval rates and an increase in interest rates [6][8] Company Strategy and Development Direction - Upstart aims to leverage AI technology to lead the trillion-dollar credit industry, focusing on rapid growth, profitability, and AI leadership [5] - The company is transitioning several new products from R&D to scale-up phases, with expectations for significant growth in 2026 [27] - Upstart is committed to maintaining credit performance while achieving transaction volume targets, emphasizing the importance of precise risk pricing [8][22] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the strength of consumer credit, noting no material deterioration and signs of improvement [8] - The company anticipates a favorable economic backdrop for credit, with expectations of improved consumer financial health and lower investor return requirements due to potential rate cuts [30] - Upstart plans to moderate take rates to increase origination volumes and repeat transactions, aiming for a strong finish to 2025 and a promising 2026 [30][31] Other Important Information - Upstart's contribution margin for Q3 was 57%, slightly down from the previous quarter due to lower conversion rates impacting acquisition costs [25] - The company ended Q3 with approximately $1.2 billion in loans held directly on its balance sheet, up from just over $1 billion in Q2 [26] Q&A Session Summary Question: Application demand and guidance - Dan Dolev inquired about the strong application demand and how it aligns with the guidance provided, which was below expectations. Management noted that while applications grew significantly, the model's conservatism impacted transaction volume [34][35] Question: Impact of recent auto industry events - Kyle Peterson asked if recent negative credit events in the auto sector affected Upstart's expansion plans. Management confirmed no direct impact but acknowledged increased diligence in underwriting [39][40] Question: Quality of leads from marketing improvements - Peter Christiansen questioned the quality of leads following marketing enhancements. Management indicated that while application volume increased, the model's conservatism affected conversion rates [45][46] Question: Repayment speeds and credit implications - Mihir Bhatia asked about the increase in repayment speeds and its implications. Management suggested that faster repayments could indicate improving consumer health but may lead to reduced interest income in the short term [72][74] Question: Conversion rate drivers - Reggie Smith inquired about the factors affecting the conversion rate. Management clarified that the primary driver was the model's conservatism, which influenced approval rates and loan sizes [63][79]

Financial Data and Key Metrics Changes - In Q3 2025, total revenue reached approximately $277 million, reflecting a 71% year-on-year increase and an 8% sequential increase [23] - GAAP net income for Q3 was approximately $32 million, significantly ahead of expectations, driven by strong net interest income and reduced fixed costs [26] - The contribution margin was 57%, down approximately one percentage point from the prior quarter due to lower conversion rates impacting acquisition costs [25] Business Line Data and Key Metrics Changes - Transaction volume across the platform was approximately 428,000, up 128% year-on-year and 15% sequentially, representing around 300,000 new borrowers [24] - New products, including small-dollar loans, auto, and home loans, accounted for nearly 12% of originations and 22% of new borrowers in Q3, with transaction volume for these products growing around 300% year-on-year [8][9] - The average loan size decreased to approximately $6,670, a 12% decline from the prior quarter, influenced by borrower requests for lower amounts and a shift towards smaller loan products [24] Market Data and Key Metrics Changes - Consumer demand remained strong, with over two million applications submitted in Q3, a 30% increase from Q2, marking the highest level in over three years [6] - The Upstart Macro Index (UMI) showed a modest increase in July and August, which led to a temporary reduction in approval rates and an increase in interest rates [7][8] - Despite macroeconomic caution, there were no signs of material deterioration in consumer credit strength, with indications of improvement noted [8] Company Strategy and Development Direction - The company aims to leverage AI technology to lead the trillion-dollar credit industry, focusing on rapid growth, profitability, and AI leadership [5] - Upstart is expanding its auto retail business, having doubled the number of lending rooftops and achieved over 70% sequential growth in transaction volume [9] - The company is also working on a hybrid product called an auto-secured personal loan, which is gaining traction [9] Management's Comments on Operating Environment and Future Outlook - Management expressed confidence in the company's ability to navigate the macroeconomic environment, emphasizing the importance of precise risk pricing [8] - The outlook for Q4 includes expected total revenues of approximately $288 million, with a focus on maintaining profitability and managing costs effectively [31] - Management anticipates that improvements in repayment speeds could lead to a long-anticipated tailwind for growth prospects heading into next year [23] Other Important Information - The company has added seven new bank and credit union partners in Q3, achieving a new all-time high in monthly available funding [10] - Upstart's platform has generated over $50 billion in AI-powered loans since inception, showcasing the strength of its AI capabilities [12] - The company is focused on reducing R&D-related balance sheet holdings and transitioning new products into the scale-up phase [26][27] Q&A Session Summary Question: Application demand and guidance - A participant inquired about the strong application demand and how it aligns with the guidance provided, which was below expectations. Management noted that while applications grew significantly, the model's conservatism impacted transaction volume [34][35] Question: Impact of recent credit events in the auto sector - Another participant asked if recent negative credit events in the auto sector affected expansion plans. Management confirmed that there was no direct impact, although increased diligence was observed in the market [39][40] Question: Quality of leads from marketing improvements - A question was raised regarding the quality of leads generated from new marketing capabilities. Management indicated that while application volume increased, the model's conservatism led to a lower conversion rate [46][48] Question: Repayment speeds and credit implications - A participant asked about the increase in repayment speeds and its implications for credit performance. Management suggested that faster repayments could indicate improving consumer health, although it may lead to lower interest income in the short term [72][74] Question: Conversion rate drivers - A question was posed about the factors affecting the conversion rate. Management clarified that the primary driver was the model's conservatism, which impacted approvals and loan sizes [64][65] Question: HELOC product economics - A participant inquired about the economics of the HELOC product. Management indicated that while take rates would be healthy, they would be more modest compared to personal loans, but with larger loan sizes [82]

Quantitative Models and Construction Methods 1. Model Name: Stock Timing Model - **Construction Idea**: The model is based on the comprehensive judgment of economic growth and liquidity easing[18] - **Construction Process**: - Construct timing factors from two core dimensions: economic growth and liquidity easing[18] - Factors include PMI YoY smoothed value, manufacturing fixed asset investment completion amount cumulative YoY, CPI YoY smoothed value, and new medium and long-term loans cumulative value YoY[19] - Use the formula: $$ \text{Factor} = \begin{cases} 1 & \text{if indicator improves} \\ 0 & \text{otherwise} \end{cases} $$ - Backtest using CSI 800 total return as the benchmark[19] - **Evaluation**: The model effectively captures stock market cycles, avoiding downturns[21] 2. Model Name: Bond Timing Model - **Construction Idea**: The model analyzes from the perspective of monetary liquidity supply and demand[23] - **Construction Process**: - Factors include DR007, SHIBOR, and social financing scale stock YoY smoothed value[24] - Use the formula: $$ \text{Factor} = \begin{cases} 1 & \text{if short-term average < long-term average} \\ 0 & \text{otherwise} \end{cases} $$ - Backtest using ChinaBond Treasury Total Net Price Index as the benchmark[24] - **Evaluation**: The model captures bond market trends, minimizing drawdowns[25] 3. Model Name: All-Weather Strategy - **Construction Idea**: The model adjusts risk budgets for different assets based on timing signals[17] - **Construction Process**: - Use a risk parity model to allocate risk contributions of assets[30] - Adjust risk budgets based on stock and bond timing signals[32] - Optimize the model: $$ \begin{array}{c} \min \sum_{i=1}^{N} \left( RC_i - b_i \sigma_p \right)^2 \\ \text{s.t.} \sum_{i=1}^{N} \omega_i = 1 \\ 0 \leq \omega_i \leq 1 \end{array} $$ - Backtest using a combination of CSI 800, ChinaBond Treasury Total Wealth Index, CSI Convertible Bond Index, S&P 500 ETF, and AAA Credit Bonds[31] - **Evaluation**: The strategy provides higher absolute returns while controlling risk[38] Model Backtest Results Stock Timing Model - Annualized Return: 14.1%[21] - Benchmark Annualized Return: 5.4%[21] - Excess Annualized Return: 8.7%[21] - Monthly Win Rate: 56.7%[21] Bond Timing Model - Annualized Return: 2.3%[25] - Benchmark Annualized Return: 1.1%[25] - Excess Annualized Return: 1.1%[25] - Monthly Win Rate: 68.3%[25] All-Weather Strategy - Annualized Return: 6.1%[38] - Benchmark Annualized Return: 5.1%[38] - Excess Annualized Return: 1.0%[38] - Maximum Drawdown: 2.6%[38] - Sharpe Ratio: 2.04[38] Quantitative Factors and Construction Methods 1. Factor Name: Value-Growth Rotation Factor - **Construction Idea**: The factor is based on economic recovery, liquidity, and market sentiment[47] - **Construction Process**: - Factors include manufacturing fixed asset investment completion amount, PPI YoY smoothed value, M2 YoY smoothed value, social financing YoY smoothed value, medium and long-term loan growth YoY smoothed value, market turnover rate, and margin balance percentile[48] - Use the formula: $$ \text{Factor} = \begin{cases} 1 & \text{if indicator improves} \\ 0 & \text{otherwise} \end{cases} $$ - Backtest using the National Growth Index and National Value Index[48] - **Evaluation**: The factor captures the cyclical characteristics of value and growth styles[47] 2. Factor Name: Size Rotation Factor - **Construction Idea**: The factor is based on economic prosperity, liquidity, and market sentiment[55] - **Construction Process**: - Factors include manufacturing fixed asset investment completion amount, PPI YoY smoothed value, gold daily return rate, government bond yield, credit spread, M1 YoY smoothed value, market turnover rate, and margin balance percentile[56] - Use the formula: $$ \text{Factor} = \begin{cases} 1 & \text{if indicator improves} \\ 0 & \text{otherwise} \end{cases} $$ - Backtest using the CSI 300 Index and CSI 1000 Index[57] - **Evaluation**: The factor captures the cyclical characteristics of large-cap and small-cap styles[55] Factor Backtest Results Value-Growth Rotation Factor - Annualized Return: 9.2%[51] - Benchmark Annualized Return: 1.7%[51] - Excess Annualized Return: 7.5%[51] - Monthly Win Rate: 60.2%[51] Size Rotation Factor - Annualized Return: 9.2%[59] - Benchmark Annualized Return: 0.1%[59] - Excess Annualized Return: 9.0%[59] - Monthly Win Rate: 58.3%[59] Industry Rotation Solution 1. Factor Name: Macro Factor - **Construction Idea**: The factor is based on the second-order changes in economic growth and liquidity[67] - **Construction Process**: - Factors include PMI, social financing scale, manufacturing fixed asset investment completion amount, CPI, M2 growth rate, 10-year government bond yield, and credit spread[70] - Use the formula: $$ \text{Factor} = \begin{cases} 1 & \text{if indicator improves} \\ 0 & \text{otherwise} \end{cases} $$ - Backtest using industry indices[73] - **Evaluation**: The factor captures the marginal inflection points of macro trends[67] 2. Factor Name: Fundamental Factor - **Construction Idea**: The factor is based on historical prosperity, prosperity changes, and prosperity expectations[79] - **Construction Process**: - Factors include industry component stock median, industry profitability, and industry consensus profit expectations[79] - Use the formula: $$ \text{Factor} = \begin{cases} 1 & \text{if indicator improves} \\ 0 & \text{otherwise} \end{cases} $$ - Backtest using industry indices[82] - **Evaluation**: The factor captures the core of industry prosperity[79] 3. Factor Name: Technical Factor - **Construction Idea**: The factor is based on index momentum, leading stock momentum, and K-line patterns[87] - **Construction Process**: - Factors include industry index relative excess return IR, leading stock sharp ratio, and K-line pattern score[89] - Use the formula: $$ \text{Factor} = \begin{cases} 1 & \text{if indicator improves} \\ 0 & \text{otherwise} \end{cases} $$ - Backtest using industry indices[96] - **Evaluation**: The factor captures the technical evaluation of industry trends[87] 4. Factor Name: Crowding Factor - **Construction Idea**: The factor is based on financing inflows, turnover rate, and transaction proportion[100] - **Construction Process**: - Factors include industry financing buy amount, industry turnover rate, and industry transaction amount proportion[101] - Use the formula: $$ \text{Factor} = \begin{cases} 1 & \text{if indicator improves} \\ 0 & \text{otherwise} \end{cases} $$ - Backtest using industry indices[104] - **Evaluation**: The factor captures the crowding level of industries[100] Industry Rotation Backtest Results Macro Factor - Annualized Return: 42.9%[73] - Benchmark Annualized Return: -22.8%[73] - Excess Annualized Return: 65.7%[73] Fundamental Factor - Annualized Return: 11.3%[85] - Benchmark Annualized Return: 2.8%[85] - Excess Annualized Return: 8.5%[85] - IC Mean: 8.2%[85] Technical Factor - Annualized Return: 9.7%[97] - Benchmark Annualized Return: 2.8%[97] - Excess Annualized Return: 6.9%[97] - IC Mean: 8.2%[97] Crowding Factor - Annualized Return: -2.9