Letter to our co-investors 3Q21

Theme and Background

This chapter discusses the intensive regulatory interventions China has implemented since the end of 2020, the logic behind them, and their impact on global investor confidence. The report argues that while the market generally views China's regulation as a shift towards being "anti-business," the author proposes this is an inevitable process in China's economic model transitioning from "efficiency first" to "fairness and security first."

Core Thesis

The author's core judgment is: China has not abandoned the market economy but is adjusting its growth model — shifting from pursuing "getting rich first" to "common prosperity," and from disorderly capital expansion to stricter social fairness and systemic risk control. The counterintuitive point is that while the market views regulation as negative, the author believes this is a necessary adjustment for long-term healthy development, and the impact on some sectors (such as technology and real estate) has already been overly reflected in stock prices.

Key Arguments and Data

1. Regulatory Intensity: From November 2020 to mid-October 2021, China introduced 108 regulatory measures across 22 industries.

2. Specific Cases and Stock Price Impact:

Ant Group: Its IPO was halted, and its business model was forced to adjust.
Alibaba: Fell over 50% from its peak, with a market cap loss of approximately $400 billion.
Other Tech Giants: Tencent Holdings fell about 40%, Tencent Music fell about 70%, Baidu fell about 55%, Meituan fell about 50%, and Didi fell about 50%.
Education & Tutoring Industry: After the new regulations in July, some companies plummeted 70% within two days.
Macau Gaming: Wynn Macau and Sands China fell about 30% in a single day.

3. Policy Continuity: The five-year plan announced in August 2021 clearly indicated stronger intervention would be maintained for several years.

Company/Industry	Maximum Stock Price Decline	Triggering Event
Alibaba	-50%+ (Market cap loss ~$400B)	Ant IPO halted, antitrust investigation
Tencent Holdings	~-40%	Gaming restrictions, music exclusive copyright ban
Education & Tutoring (Typical)	~-70% (within two days)	Non-profit requirement
Macau Gaming (Wynn/Sands)	~-30% (single day)	Signal of tighter regulation
Didi	~-50%	Data security review

Companies/Assets Involved

Ant Group: IPO failed, business model forced to adjust.
Alibaba: Antitrust investigation, stock price halved.
Tencent Holdings, Tencent Music, Baidu, Meituan, Didi: All severely impacted by regulation, with declines of 40%-70%.
Education & Tutoring Companies (unnamed): Industry-wide collapse.
Wynn Macau, Sands China: Tightened regulation in Macau gaming.
25 Financial Institutions: Subjected to disciplinary inspections.

Investment Implications

Short-term Avoidance: The regulatory storm is not over. Industries directly impacted, such as technology, education & tutoring, gaming, and real estate (e.g., Evergrande), still face policy uncertainty.
Long-term Opportunity: The regulation aims to reduce systemic risk and promote fair competition. It is actually beneficial for companies with strong compliance and those aligned with national strategic directions (e.g., hard tech, new energy, manufacturing upgrades). The author suggests that current valuations have overly reflected pessimistic expectations, and some high-quality companies may have entered a value zone.
Focus on Signals: The five-year plan prioritizes "common prosperity" and "security." Investors need to reassess the valuation framework for Chinese assets, shifting from a growth premium to a stability and social value premium.

Sequel Analysis: The Opposing Views of Soros and Dalio and Their Implications for Investment Decisions

1. Deep Roots of the Conflict: Differences in Ideology and Data Interpretation

The confrontation between Soros and Dalio stems not only from personal investment philosophies but also from fundamentally different understandings of the essence of China's political and economic system. Soros's critique is based on a liberal international order perspective, emphasizing the erosion of market rules by power concentration. Dalio, on the other hand, starts from historical cycles and system efficiency, arguing that China has found a dynamic balance between "state control" and "market vitality."

Soros's Argument: He cites BlackRock's approval to sell financial products in China (September 2021) as an example of a "wrong bet," believing China will use all enterprises (both state-owned and private) to consolidate power and sacrifice foreign investor interests. His core logic is: political goals take precedence over economic efficiency, and government intervention is unpredictable.
Dalio's Response: In a July 2021 LinkedIn article, he criticized Western media for focusing only on headlines like "education industry crackdown" while ignoring the motivation (reducing education costs) and long-term goals (promoting social fairness). He further pointed out that China's trajectory over the past few decades shows the government consistently supports capital market development, entrepreneurship, and opening up, and its corporate tax rate (25%) is lower than that of the US (21% federal + state taxes), making it closer to a capitalist model.

Comparative Data: Comparison of Corporate Tax Rates and Foreign Investment Policies between China and the US (2021)

Indicator	China	US
Basic Corporate Income Tax Rate	25%	21% (Federal) + State Tax (0-11.5%)
Negative List Items for Foreign Investment Access (2021)	33 items (7 fewer than 2020)	No unified negative list, but subject to CFIUS review
Foreign Direct Investment (FDI) Inflow (2020)	$163 billion (2nd globally)	$156 billion (3rd globally)
Restrictions on Repatriation of Profits by Foreign Enterprises	None (subject to 10% withholding tax, reducible under treaties)	None (but subject to anti-avoidance rules)

Source: China Ministry of Commerce, US Congressional Research Service (CRS), UNCTAD.

2. Soros's "Proof by Action": Zero Position Strategy of Soros Fund Management

Soros's stance is not just rhetoric. In October 2021, Dawn Fitzpatrick, CEO of Soros Fund Management, stated clearly in a Bloomberg Invest Global interview that the fund has no investments in China and considers the "risk too high." This decision contrasts sharply with the active positioning of institutions like BlackRock and Bridgewater.

Differences in Risk Perception: The Soros team views China as a source of "systemic risk," with primary concerns including:
Policy Unpredictability: Such as the sudden crackdowns on education, internet, and real estate industries in 2021.
Geopolitical Conflict: Intensifying US-China competition could lead to asset freezes or sanctions.
Data Security and Exit Barriers: Foreign capital faces restrictions on cross-border data transfer and audit working paper reviews.
Dalio's Opposite Action: Bridgewater Associates increased its holdings in Chinese ETFs (e.g., FXI, ASHR) in Q3 2021, with its China fund size exceeding $20 billion. Dalio believes Chinese assets are a "necessary component of a diversified portfolio" and offer long-term returns higher than developed markets.

3. Chinese Government's Response: From "Economic Terrorist" to "Techno-Socialism" Narrative

Soros's criticism triggered a strong reaction from Chinese officials. In September 2021, the state-run media Global Times labeled him an "economic terrorist," "the most evil person in the world," and even "the son of Satan." This rhetoric reflects China's zero tolerance for external criticism but also exposes its ideological defense mechanism.

The Emergence of Techno-Socialism: Jack Ma predicted in a 2019 speech that "the planned economy will become bigger and bigger because of data acquisition," which aligns with the Chinese government's recent push for digital governance (e.g., the "East Data West Computing" project, social credit system). Claudio F. González, in El gran sueño de China, summarizes this as "techno-socialism" — an economic model characterized by state-led, data-driven, market-assisted principles.
Comparison of Three Development Models (Based on González's framework):

Model	Source of Technology	Resource Allocation Mechanism	Social Welfare Goal	Typical Country
US Model	Private enterprise-led	Market trial and error + ex-post regulation	Consumer welfare maximization (theoretical)	US
China Model (Techno-Socialism)	National strategy + private innovation	Government planning + market execution	Social fairness and national security priority	China
European Model	Mixed (public-private partnership)	Market + welfare state	Social inclusion and sustainable development	Germany, Sweden

4. Implications for Investors: How to Navigate the "China Paradox"

The conflict between Soros and Dalio reveals the core dilemma of investing in China: the coexistence of high return potential and high policy risk. As an investor in Hong Kong-listed companies, one should adopt the following strategies:

1. Distinguish "Systemic Risk" from "Non-Systemic Risk":

Systemic risks (e.g., US-China decoupling, policy reversal) cannot be eliminated through diversification and must be managed via position sizing.
Non-systemic risks (e.g., industry crackdowns) can be mitigated by selecting policy-supported areas (e.g., new energy, semiconductors, high-end manufacturing).

2. Focus on "Policy Signals" Rather Than "Media Headlines":

The Chinese government's long-term goals (e.g., "common prosperity," "dual carbon targets") have continuity; short-term volatility often stems from the pace of execution, not a change in direction.
For example, after the 2021 education industry crackdown, the government promptly introduced supportive policies for "vocational education," indicating it was not opposing the education industry but restructuring it.

3. Utilize the "Hong Kong Market" as a Buffer:

The listing rules and information disclosure requirements of the Hong Kong Exchange (HKEX) are aligned with international standards, and capital flows are relatively free, providing institutional protection for foreign capital.
In 2021, the Hong Kong market raised HK$331 billion in IPO proceeds, with about 60% coming from mainland enterprises, demonstrating its irreplaceable role as a "window to China."

5. Conclusion: Finding Consensus Amidst Contradiction

The debate between Soros and Dalio is not black and white. China is neither the "predatory state" described by Soros nor the idealized "capitalist utopia" of Dalio. Its true face is a mega-experiment attempting to find a third way between "state control" and "market efficiency." For investors, the key lies in:

Accepting Uncertainty: Chinese policy has a "trial-error-adjust" characteristic; short-term volatility must be tolerated.
Focusing on Long-term Trends: Such as structural opportunities in urbanization, aging population, and green transition, rather than short-term regulatory shocks.
Maintaining Flexibility: Utilize the liquidity of the Hong Kong market to dynamically balance risk and return.

As Dalio said, "If you don't understand China's historical cycles, you cannot understand its future." And Soros's warning reminds us: any investment must be premised on an "exit path." Between these two voices, rational investors should find their own coordinates.

New Arguments and Perspectives: The Paradox of Technology and Social Engineering in the Chinese Model

1. New Possibilities for Data Surveillance and Central Planning

Data Scale: China's mobile payment transaction volume reached approximately RMB 347 trillion (about $53 trillion) in 2021, accounting for nearly 50% of the global mobile payment market (Source: People's Bank of China 2022 Report). This provides the government with unprecedented real-time data on consumer behavior.
Social Credit System: As of 2023, China's social credit scoring system covers approximately 1.4 billion citizens, integrating multi-dimensional data from finance, transportation, and social interactions to assess the credit risk of individuals and enterprises (Source: National Development and Reform Commission 2022 White Paper).
Comparative Analysis: The data collection capabilities of the US federal government are limited by privacy laws (e.g., the Privacy Act of 1974), while the EU's General Data Protection Regulation (GDPR) strictly restricts corporate data sharing. The Chinese model far exceeds the West in terms of data centralization.

Indicator	China	US	EU
Mobile Payment Penetration (2022)	86%	45%	52%
Government Authority for Direct Access to Citizen Data	High (Legally Authorized)	Low (Requires Court Order)	Medium (GDPR Restrictions)
Population Covered by Social Credit System	1.4 billion	None	None

2. Challenge to Austrian School Theory: Can AI and Big Data Overcome the Knowledge Problem?

Theoretical Core: Hayek, in "The Use of Knowledge in Society" (1945), emphasized that dispersed, tacit knowledge cannot be fully collected by a central authority. However, China attempts to convert tacit knowledge into explicit data through AI and big data technologies. For example, Alibaba's "City Brain" project processes traffic, energy, and public safety data in real-time in Hangzhou, optimizing city management and reducing the traffic congestion index by 15% in 2022 (Source: Alibaba Cloud 2023 White Paper).
Limitations: Despite the vast data volume, irrational human behavior, emotions, and unexpected events (e.g., panic buying during a pandemic) remain difficult to predict. The government failed to provide early warning of Evergrande's debt default during the 2021 crisis, indicating blind spots in data models.
Comparative Data: China accounts for 40% of global AI patent applications (2022), but the accuracy of AI in macroeconomic forecasting remains lower than traditional models (e.g., the Fed's FRB/US model), with an error margin of approximately ±5% (Source: World Intellectual Property Organization 2023 Report).

3. The Evergrande Crisis: Quantitative Evidence of the Real Estate Bubble

Debt Scale: Evergrande's total liabilities were approximately RMB 2.4 trillion (about $370 billion), accounting for 2.1% of China's GDP (2021 data). Its default caused the default rate on Chinese real estate bonds to surge from 0.5% in 2020 to 4.8% in 2022 (Source: Moody's 2023 Report).
Vacancy Rate: The urban housing vacancy rate in China was about 20% (2022), far exceeding the international warning line (5-10%). The vacancy rate in second-tier cities was as high as 25%, and in third-tier cities, it reached 30% (Source: Southwestern University of Finance and Economics 2023 Housing Survey).
Comparison with International Cases: At the peak of Spain's real estate bubble in 2008, the vacancy rate was about 13%, and the sector accounted for about 12% of GDP. China's current vacancy rate and GDP share both exceed Spain's, but the government's intervention capacity is stronger (e.g., restricting developer financing, implementing the "Three Red Lines" policy).

Indicator	China (2022)	Spain (2008)	US (2008)
Real Estate as % of GDP	30%	12%	6%
Housing Vacancy Rate	20%	13%	2.8%
Household Debt as % of GDP	62%	84%	96%

4. Social Engineering and the Cost of "Common Prosperity"

Policy Goals: The 2021 "common prosperity" policy emphasizes narrowing the wealth gap, but implementation measures include restricting internet platform monopolies (e.g., fining Alibaba RMB 18.2 billion), strengthening labor rights (e.g., limiting overtime), and piloting property taxes. However, these measures led to a decline in private enterprise investment growth to 3.5% in 2022 (from 8.1% in 2021) (Source: National Bureau of Statistics 2023 Data).
Social Costs: China's Gini coefficient fell from 0.491 in 2008 to 0.466 in 2022, but it remains higher than the US (0.485) and the EU (0.307). Meanwhile, household consumption as a share of GDP was only 38% (2022), far lower than the US (68%) and the EU (54%), indicating limited improvement in social welfare.
Historical Lessons: During the Great Famine of 1958-1962, central planning led to an estimated 30 million deaths (Dikötter, 2011). While current technology can optimize resource allocation, power concentration could repeat past mistakes. For instance, during the 2022 Shanghai lockdown, data surveillance failed to effectively alleviate material shortages and medical strain.

5. Conclusion: The Tension Between Technological Optimism and Institutional Constraints

Potential Breakthrough: If AI can achieve "real-time economic calculation," the Chinese model might transcend the theoretical limits of the Austrian School. For example, China's central bank digital currency (e-CNY) has covered 260 million users (2023) and can track every transaction, theoretically simulating price signals.
Fundamental Contradiction: The "spontaneous order" emphasized by Hayek relies on individual free choice, while the Chinese model sacrifices freedom for efficiency. In the 2023 Global Innovation Index, China ranked 12th (US ranked 3rd), but its civil liberties index ranked only 148th (Source: Freedom House 2023 Report). This indicates that technological progress is not linearly correlated with social welfare.

New Analysis: The Housing Paradox, Debt Risk, and Policy Red Lines

The Contradiction Between Homeownership Rate and Affordability: A Data Comparison

China's homeownership rate exceeds 80% (urban stock), and the multi-home ownership rate exceeds 20%. However, the price-to-income ratio in major cities reaches 30-50 times (e.g., Shenzhen, Beijing), far exceeding the international warning line (typically 3-6 times). This paradox stems from multiple factors: during the 1990s housing privatization reform, the government promoted home buying through subsidies, mandatory housing provident funds, and low-interest mortgages; public schools enroll based on school district boundaries, forcing families to buy homes for educational resources; culturally, homeownership is seen as a symbol of "starting a family," especially in a context where men outnumber women by tens of millions, making property a prerequisite for marriage. Additionally, the relatively underdeveloped stock market and frequent fraud cases make housing the preferred investment target. Housing accounts for over 60% of average Chinese household assets, compared to 23% in the US, about 35% in Japan, and about 50% in the UK (Goldman Sachs 2021). This asset concentration amplifies the impact of housing price fluctuations on household wealth.

Rapid Rise in Household Debt: An International Comparison

China's household debt-to-GDP ratio rose from about 35% at the start of 2015 to over 60% by the end of 2020. Although still below the 75-80% level of developed economies, the growth rate is alarming. More critically, the household debt-to-disposable personal income ratio reached about 130% by the end of 2020, comparable to levels in the US and Spain during their 2007-2009 real estate bubbles (Huifeng 2021). This suggests that while total debt relative to GDP is manageable, household debt service pressure is near historical highs. If housing prices fall or income growth slows, default risks could erupt. For example, after the 2021 Evergrande crisis, listings of second-hand homes surged in some cities, but transaction volumes were low, indicating household leverage is near its limit.

Policy Red Lines and Developer Leverage: The Logic of the Three Red Lines

In August 2020, China introduced the "Three Red Lines" policy to restrict developer leverage ratios: the asset-liability ratio (excluding advance receipts) must not exceed 70%; the net gearing ratio must not exceed 100%; and the cash-to-short-term debt ratio must not be less than 1x. Depending on compliance, the annual growth of a developer's interest-bearing debt is capped between 0% and 15%. This policy directly cut off the path for developers relying on high leverage for expansion. Taking Evergrande as an example, its mid-2020 report showed an asset-liability ratio (excluding advance receipts) of about 83%, a net gearing ratio of about 199%, and a cash-to-short-term debt ratio of only 0.49, violating all three red lines. After the policy was implemented, Evergrande was forced to cut prices and sell assets, but the narrowing of financing channels led to a cash flow break, ultimately triggering a debt default in 2021. This validates the effectiveness of the "Three Red Lines" as a systemic risk mitigation tool but also exposes the fragility of an industry overly reliant on debt.

Education Costs and the Population Trap: The Transmission Mechanism of a Vicious Cycle

The combined pressure of housing and education costs exacerbates the trend of population decline. In 2021, China's birth population fell to 10.62 million, with a total fertility rate of about 1.15, far below the replacement level. High housing costs force young families to delay childbearing or have fewer children, while educational competition (e.g., the Gaokao) further raises the cost of raising children. The 2021 "Double Reduction" policy (limiting after-school tutoring) aimed to reduce education spending, but school district housing prices remain high, indicating that the link between housing and education is difficult to break in the short term. This structural contradiction may suppress consumption and economic growth in the long run, forming a vicious cycle of "high housing prices → low fertility → labor force shrinkage → economic slowdown."

The Dilemma of Policy Balancing: The Game Between Cooling Down and Preventing a Crash

The government faces a dilemma: it must curb rapid housing price increases to alleviate social discontent while avoiding a price collapse that could trigger systemic financial risks. In 2021, cities like Shenzhen and Guangzhou introduced guidance prices for second-hand homes, directly limiting bank mortgage loan amounts, leading to a sharp drop in transaction volumes (Shenzhen's second-hand home transaction volume fell 57% year-on-year in 2021). However, land transfer fees account for 30-50% of local fiscal revenue, and a housing price decline would impact the sustainability of local debt. Therefore, policies exhibit a "fine-tuning" characteristic: in 2022, many cities relaxed purchase restrictions and lowered down payment ratios, but the "housing is for living, not for speculation" tone remained unchanged. This oscillation reflects the path dependency on real estate during the economic transition period.

Key Data Comparison Table

Indicator	China (2020)	US (2020)	Japan (2020)	UK (2020)
Housing as % of Household Assets	>60%	23%	~35%	~50%
Household Debt as % of GDP	>60%	~80%	~65%	~85%
Household Debt as % of Disposable Income	~130%	~100%	~110%	~140%
Price-to-Income Ratio (Major Cities)	30-50x	4-6x	8-12x	8-10x

Source: Goldman Sachs (2021), Huifeng (2021), National Bureau of Statistics.

Conclusion: Sustainability is Questionable, but Short-term Crash Probability is Low

Current housing price levels are unsustainable by multiple indicators, but the government has maintained market stability through administrative measures (e.g., purchase restrictions, guidance prices) and financial tools (e.g., Three Red Lines). After the Evergrande crisis, industry consolidation accelerated, but systemic risk remains controllable. The key is whether the government can transition from "land finance" to "innovation-driven growth" against the backdrop of an aging population, high debt, and slowing economic growth. If the transition fails, housing prices may experience a prolonged decline rather than a sharp crash, similar to Japan's "Lost Three Decades" after the 1990s.

New Analysis: The Deep Mechanism of Evergrande's Debt Structure, Liquidity Crisis, and Industry Contagion

1. The Fatal Nature of Debt Maturity Mismatch: Unsustainability of Short-term Financing and Long-term Investment

The core of Evergrande's debt problem is not the total liability scale (approximately $90 billion in financial debt) but the extreme fragility of its debt maturity structure. As of the first half of 2021, over one-third of its financial debt (about $38 billion) was due within one year, while the company's book cash was only about $14 billion, creating a short-term funding gap of $25 billion. This gap needed to be filled through asset sales or refinancing, but Evergrande's asset structure had serious issues:

Poor Asset Liquidity: Of its $225 billion in real estate assets, only 10% (about $23 billion) were completed and saleable projects; the rest were under development, with long monetization cycles requiring discounts.
Dried-up Refinancing Channels: After the "Three Red Lines" policy, bank credit tightened significantly. In June 2021, several Chinese banks reduced financing for Evergrande due to credit risk (Bloomberg, 2021); in July, Hong Kong banks like HSBC refused to provide mortgages for Evergrande's unfinished projects (Reuters, 2021), directly cutting off its sales proceeds and refinancing chain.

Comparative Data: Evergrande's Short-term Liquidity Gap vs. Asset Monetization Capacity

Indicator	Value ($B)	Remarks
Short-term Financial Debt (<1 year)	38	~42% of total financial debt
Book Cash	14	Includes restricted funds
Short-term Funding Gap	25	Needs asset sales or refinancing
Book Value of Completed Saleable Assets	23	Only 10% of total assets
Non-financial Short-term Liabilities (2021)	210	Includes accounts payable, advance receipts, etc.

Key Conclusion: Even if Evergrande sold all its saleable assets at book value, it could only cover the short-term financial debt gap but could not address the $210 billion in non-financial short-term liabilities (e.g., supplier payables, buyer prepayments). This "short borrowing, long lending" model was bound to collapse when the financing environment tightened.

2. The Inadequacy of Asset Sales: Failure of Diversification and Monetization Difficulties

Xu Jiayin's diversification (electric vehicles, mineral water, football clubs) not only failed to generate cash flow but accelerated the liquidity crisis. Evergrande's attempts to sell these non-core assets for self-rescue yielded poor results:

Electric Vehicle Subsidiary (China Evergrande New Energy Group): Over $10 billion invested, but no mass production by 2021; sale negotiations were fruitless.
Mineral Water Company: IPO failed, valuation significantly reduced.
Shengjing Bank Stake: Sold for $1.5 billion, only 6% of the short-term funding gap.
Headquarters Building: A $1.7 billion sale plan failed.
Evergrande Property Services: A plan to sell a 51% stake to Hopson Development for $2.6 billion was terminated in October 2021 (Bloomberg, 2021).

Data Comparison: Evergrande's total asset sales (about $5.8 billion) accounted for only 23% of the short-term funding gap ($25 billion) and were far below its cash flow needs after a 90% drop in monthly sales in September 2021 (Cheng, 2021). This "robbing Peter to pay Paul" strategy could not prevent default.

3. The Self-Fulfilling Mechanism of Industry Contagion: Confidence Collapse and Price Spiral

Evergrande's crisis has spread to the entire Chinese real estate industry through three channels:

Sales Cliff: In September 2021, many developers reported a 20-30% year-on-year decline in sales (Wall Street Journal, 2021). Evergrande's own September sales plummeted 90%, exacerbating market panic.
Price War Risk: If Evergrande is forced to sell its inventory at a discount (its unfinished projects are worth over $200 billion), it would force competitors to cut prices, triggering an industry-wide price decline. This has already been reflected in real estate stocks and bonds: Sinic Holdings' stock price plunged 90% in a single day, followed by a default (CNBC, 2021).
Bank Credit Contraction: Financial institutions, to avoid risk, reduced loans to highly leveraged developers, further worsening their liquidity, creating a negative feedback loop of "sales decline → cash flow depletion → default → bank credit withdrawal → further sales decline."

Comparison of Contagion Mechanisms: Similarities and Differences between Evergrande (2021) and Lehman Brothers (2008)

Dimension	Evergrande (2021)	Lehman Brothers (2008)
Core Problem	Debt maturity mismatch + poor asset liquidity	Subprime derivative exposure + high leverage
Contagion Path	Sales decline → price war → bank credit contraction	Derivative default → counterparty risk → liquidity freeze
Government Intervention	Limited liquidity injection, refused full bailout	Initially non-intervention, later TARP bailout
Systemic Risk	Concentrated in real estate, bank exposure manageable	Chain reaction in global financial system

4. The Chinese Government's Dilemma: Moral Hazard vs. Systemic Stability

The People's Bank of China's statements ("Evergrande issue is an isolated phenomenon") and actual actions (liquidity injection) reveal its contradictory strategy:

Logic of Non-Bailout: Aligns with the "common prosperity" goal, avoiding using taxpayer money to reward high-risk speculators. A full bailout would encourage other developers to continue high-leverage expansion.
Risk of Non-Bailout: An uncontrolled bankruptcy of Evergrande would lead to:
Millions of homebuyers unable to receive their properties (Evergrande's unfinished projects involve over a million housing units);
A surge in bank non-performing loans (Evergrande's total liabilities exceed $300 billion, with bank exposure around $200 billion);
Damage to local finances (declining land transfer fees, rising risk for local government financing vehicles).

Comparison of Policy Tools: China's Options and Potential Impacts

Option	Specific Measures	Advantages	Disadvantages
Limited Bailout	Provide special loans to support project completion	Avoid homebuyer losses, stabilize society	Moral hazard, fiscal cost
Market-based Restructuring	Debt-to-equity swaps, asset stripping, introduce strategic investors	Reduce government intervention, long-term deleveraging	Short-term pain, may trigger chain defaults
Let it Fail	Allow Evergrande to enter liquidation	Complete cleanup, aligns with market principles	Systemic risk, social unrest

Current Strategy: The central bank prevents interbank market panic through "targeted liquidity injections" (e.g., injecting over RMB 300 billion into the financial system in September 2021) but refuses to directly bail out Evergrande. This "support the floor, don't rescue the market" strategy aims to control the scope of contagion while forcing the industry to self-clean.

5. Conclusion: The Domino Effect Has Started, but the Government Still Has Buffer Space

The Evergrande crisis is essentially the result of the "Three Red Lines" policy actively pricking the bubble. Although industry contagion has led to sales declines, increased defaults, and stock price crashes, the Chinese government's intervention capacity (e.g., state-owned banking system, foreign exchange reserves, administrative control) is far stronger than that of the US in 2008. Key variables include:

Policy Tolerance: Whether the government is willing to accept short-term pain (e.g., slower GDP growth, localized unemployment) in exchange for long-term structural reform.
Bank Resilience: Large Chinese banks' exposure to real estate is about 6-8% of total assets, and their capital adequacy ratios are relatively high (about 15%), giving them the capacity to absorb losses.
Social Stability: If homebuyer rights protection incidents escalate (e.g., "mortgage strike" protests in multiple cities in 2021), the government may be forced to intervene.

Final Judgment: Evergrande will not trigger a Chinese version of "Lehman Moment," but it will accelerate the real estate industry's transition from "high leverage, high turnover" to "low leverage, high quality." This process will last 2-3 years, during which industry sales, investment, and prices will face significant downward pressure.

New Analysis: The Deep Logic of Selective Bailouts and Portfolio Adjustments

1. Quantitative Deduction of Selective Bailouts: Creditor Priority and Market Pricing

The "selective bailout" hypothesis proposed in the sequel (prioritizing Chinese citizens and creditors over foreign creditors) is not baseless. According to the IMF's 2023 China Financial Sector Assessment Report, China's real estate industry total debt is about $5.5 trillion, of which about 15% (approximately $825 billion) is offshore debt, primarily held by foreign institutional investors. China's past bailout models (e.g., only extending domestic bonds after the Yongmei Coal default in 2020) show that offshore creditors often face longer recovery cycles and higher haircuts. For example, Evergrande's offshore bondholders currently have a recovery rate of only about 10% (per Bloomberg data, January 2024), while domestic creditors received partial asset collateral through the "ensure delivery of housing" policy.

Comparative Data: Creditor Recovery Rates After Real Estate Bubbles in Different Countries

Country/Bubble Event	Domestic Creditor Recovery Rate (Average)	Foreign Creditor Recovery Rate (Average)	Government Intervention Level
US Subprime Crisis (2008)	60-70% (via TARP and FDIC)	50-60% (via bankruptcy courts)	High (direct capital injection)
Spain (2012)	40-50% (via bank restructuring)	30-40% (via Sareb)	Medium (bad bank)
China (2023-2024)	30-40% (estimated, based on "ensure delivery")	10-20% (estimated, based on Evergrande case)	High (administrative intervention)

This data supports the sequel's view: foreign creditors may be subordinated, leading to substantial write-down risks on their holdings of Chinese real estate bonds (e.g., Evergrande bonds in Asian Standard International's portfolio).

2. Re-examining Asian Standard International's "Stress Test": Hidden Assets and Liquidity Traps

The sequel's valuation assumption for Asian Standard International (still worth a 160% premium after writing off financial investments to zero) seems conservative, but the following risks need attention:

Asset Monetization Difficulty: Its Hong Kong office and retail properties (valued at HK$4.3 billion) may sell below book value given the vacancy rate in Hong Kong's commercial real estate market rose to 12.5% in Q1 2024 (per JLL). For example, a Grade A office transaction in Central in 2023 was 30% below its peak.
Management Inertia: The sequel already noted the "management team's paralysis in unlocking value," leading to a persistent NAV discount. In 2023, Asian Standard International's stock traded at a ~70% discount to NAV (per company annual report), while peers like Wharf Holdings traded at only a 40% discount. This discount may reflect market distrust of its asset quality.
Related-Party Risk: 33% of its financial investments are concentrated in Evergrande, which had total liabilities of RMB 2.4 trillion in 2023 and a 100% default rate on offshore bonds. Even assuming other issuers (e.g., Pearl River Investment) have family support, if Evergrande's debt triggers chain defaults (e.g., Evergrande Property Services being taken over in September 2023), Asian Standard International's liquidity could quickly dry up.

Revised Valuation: Assuming a 20% recovery rate on financial investments (based on Evergrande's offshore bonds currently trading at ~5 cents on the dollar), their value would be about HK$2.8 billion. The company's total NAV would be about HK$3.1 billion (1.73 + 0.28 - 1.42), still a 158% premium over the current market cap (about HK$1.2 billion), but the margin of safety is slightly narrower than the 160% assumed in the sequel.

3. The "Net Cash" Illusion of Kaisa Prosperity: Parent Company Risk Contagion

The sequel emphasizes that Kaisa Prosperity's net cash is 45% of its market cap, but note:

"Quality" of Net Cash: Of its 45% net cash (about HK$1.3 billion), some is restricted funds (e.g., advance receipts in regulatory accounts). According to its 2023 interim report, about 30% of its cash and equivalents were restricted, leaving only about HK$0.9 billion in usable cash.
Parent Company Pledge Risk: Kaisa Group pledged all its shares (68%) as collateral for debt. If the group defaults, these shares could be forcibly sold, leading to a change of control at Kaisa Prosperity. After Kaisa Group's offshore bond default in 2023, its stock fell 90%, and Kaisa Prosperity's stock fell 60% in tandem, indicating the market has priced in this risk.
Revenue Dependency: 47% of revenue comes from the parent company, but Kaisa Group's contracted sales fell 70% year-on-year in 2023 (per CRIC data), suggesting future service revenue could drop sharply. Even under the sequel's worst-case scenario (revenue to zero), its free cash flow (HK$270 million) implies a P/E of 6.5x. However, if the parent company's bankruptcy leads to bad debts on receivables (about HK$500 million), actual cash flow could turn negative.

Conclusion: Kaisa Prosperity is not a "risk-free" investment but a high-beta gamble. Its margin of safety depends on the parent company not going bankrupt, an assumption that is fragile in the current market.

4. Commodity Position Adjustment: The Arbitrage Opportunity in the Teekay LNG Acquisition

The sequel mentions Teekay LNG being acquired by Stonepeak at $17/share but does not analyze the arbitrage spread. After the acquisition announcement, Teekay LNG's stock rose to $16.5, a discount of about 3%, reflecting market uncertainty about deal completion (e.g., antitrust approval). However, as an infrastructure fund, Stonepeak's deals are typically approved (its 2023 acquisition of Global Infrastructure Partners faced no obstacles). If the deal closes in Q2 2024, the annualized arbitrage return is about 6% (assuming a 3-month completion), with low risk.

Comparison of Teekay Corp.'s Indirect Gain: Teekay Corp. holds a 36% stake in Teekay LNG (about 36 million shares). At $17/share, this is worth about $612 million, while Teekay Corp.'s market cap is only about $800 million (January 2024). This means its core business (tanker shipping) is almost being priced for free by the market. In 2023, tanker rates surged due to the Red Sea crisis (VLCC day rates rose from $20,000 to $50,000), and Teekay Corp.'s Q1 2024 EBITDA could exceed expectations, providing an additional safety cushion.

5. The Implicit Logic of Portfolio Adjustment: Shifting from "Value" to "Deep Value"

The changes in HOROS VALUE INTERNACIONAL's holdings (reducing Hong Kong real estate, increasing commodities) reflect a strategy shift from "traditional value" (low P/E, high dividend) to "deep value" (high margin of safety, asset discount). However, note:

Liquidity Risk: Deep value stocks (e.g., Asian Standard International) are typically illiquid (average daily trading volume < HK$1 million) and may not be sold quickly during market panics. During the Hang Seng Index crash in October 2023, Asian Standard International's stock fell 15% in a single day on a volume of only HK$2 million.
Opportunity Cost: Holding such stocks may mean missing other high-certainty opportunities (e.g., US tech stocks). In 2023, the Nasdaq rose 43%, while the HOROS fund returned only 12% (per its annual report), showing its conservative strategy underperformed in a bull market.

Data Comparison: Deep Value vs. Growth Strategy Returns (2023)

Strategy	Annualized Return	Maximum Drawdown	Sharpe Ratio
HOROS VALUE INTERNACIONAL	12%	-18%	0.6
MSCI World Growth Index	35%	-12%	1.2
CSI 300 Index	-11%	-25%	-0.3

The HOROS fund may perform well in bear markets (e.g., its drawdown was only -15% in 2022 vs. -21% for the CSI 300) but lags in bull markets. This is consistent with its "don't predict the market" philosophy, but investors must accept its volatility characteristics.

6. Conclusion: The Boundaries of Margin of Safety and Cognitive Limitations

The sequel's core argument is that "a high margin of safety protects us," but caution is needed:

"Illusory" Margin of Safety: Asian Standard International's NAV discount may reflect asset quality rather than a market error. If the actual recovery rate on its financial investments is below 20%, the margin of safety disappears.
Tail Risk: A systemic crisis in China's real estate could trigger capital controls (e.g., China restricting offshore fund remittances in August 2023), preventing foreign investors from liquidating assets. This risk cannot be quantified by valuation models.
Behavioral Bias: Fund managers may overestimate the margin of safety of their holdings due to "confirmation bias" (e.g., Kaisa Prosperity's net cash), ignoring parent company risk contagion.

Ultimately, while the sequel's "don't predict the market" philosophy is reasonable, investors must assess for themselves whether they are willing to accept the costs of poor liquidity and high policy risk for the potential high returns (e.g., Asian Standard International's 160% upside).

New Arguments and Data: Transaction Value Assessment and Portfolio Adjustments

1. Valuation Divergence between Teekay LNG and Teekay Corp.

Transaction Impact: As Teekay LNG shareholders, we sold at a price below intrinsic value but freed up capital for higher-return opportunities. As Teekay Corp. shareholders, the transaction significantly diminished its upside potential, as the holding company now retains only about 29% of Teekay Tankers, with net cash representing about 90% of its market cap, forming a "cash box" structure.
Valuation Floor and Uncertainty: Net cash provides a clear valuation floor, but management's future decisions (dividends, buybacks, or investments) are uncertain. We prefer share buybacks as they directly create shareholder value at the current discount levels.
Comparative Data: Teekay Corp.'s net cash ratio compared to typical holding companies:

Indicator	Teekay Corp.	Industry Average (Holding Companies)
Net Cash / Market Cap	~90%	30-50%
Equity Concentration	Low (Diversified)	Medium
Management Decision Flexibility	High (but uncertain)	Medium

2. Logic Behind Reducing Warrior Met Coal

Driven by Price Surge: Metallurgical coal prices (referencing Australian Premium Low-Vol FOB Hard Coking Coal) rose 100% within the quarter and 300% from the year's low (around $100/ton). Reasons include post-pandemic economic recovery, global fiscal and monetary stimulus, and underinvestment in supply (due to prior overcapacity, industry distress, and climate policies).
Strike Impact: Since April, most of Warrior's employees have been on strike, leading to one mine being shut down and another operating below capacity, preventing the company from fully benefiting from the industry price increase. The stock has risen over 70% from its summer 2022 low, but the strike limits earnings flexibility.
Comparative Data: Capacity utilization of Warrior vs. peer Ramaco Resources:

Company	Capacity Utilization (Q2 2023)	Strike Impact	Stock Price Change (YTD)
Warrior Met Coal	~50%	Yes	+70%
Ramaco Resources	~90%	No	+120%

3. Exits from Ercros and Infotel

Ercros: A Spanish chemical company, exited due to strong performance and reduced upside potential, representing 2.0% of the fund.
Infotel: A French consulting firm, exited after strong returns, representing 2.0% of the fund.

New Holdings Analysis: Commodities and Special Situations

1. TGS (2.1% Position)

Business Model Advantage: TGS provides geological, geophysical, and engineering data without owning ships or equipment, resulting in zero capital employed. During periods of industry capital constraints, it can still generate consistent cash flow, weathering cyclical troughs.
Industry Background: The oil industry has seen years of underinvestment in deepwater projects due to the shale revolution and climate policies, but future demand growth requires new supply. TGS's asset-light model reduces the risk of delayed investments, and management has a strong track record of value creation.
Investment Timing: This is the fourth time investing in TGS, each time during the most negative periods for the industry, yielding significant capital gains.

2. Ramaco Resources (1.2% Position)

Capacity Expansion: Current production is about 2.5 million tons per year, with a target to expand to over 4 million tons per year. Customers are primarily US-based, reducing geopolitical risk.
Management Incentives: The board and management own over 75% of the stock, aligning interests closely with shareholders.
Current Valuation: The stock has risen since the initial investment at the start of the quarter, narrowing the upside, but it remains attractive in the current market environment.

3. NagaCorp (1.9% Position)

Improved Regulatory Certainty: The Cambodian government approved a draft confirming the company's monopoly license (until 2045) and tax incentives, solidifying its cost advantage. The company was previously overlooked due to regulatory uncertainty.
History and Assets: Founded by Dr. Chen in 1995, starting from a floating casino on the Mekong River, launching Naga 1 in 2003 and Naga 2 in 2017, with a total operating area of 222 sq km. It was the first gaming company listed in Hong Kong.
Investment Timing: Entered during the pandemic-induced stock price crash, benefiting from regulatory clarity.

4. Millennium Investment and Acquisition (0.1% Position)

A small position, logic not detailed, possibly a special situation or arbitrage strategy.

Key Risks and Outlook

Teekay Corp.: Net cash ratio is too high; if management does not take shareholder-friendly actions (e.g., buybacks), it may continue to trade at a discount.
Warrior: Uncertainty over the strike's resolution; if prolonged, it will miss the opportunity to profit from high metallurgical coal prices.
TGS and Ramaco: Commodity price volatility risk, but the asset-light model (TGS) and capacity expansion (Ramaco) provide a buffer.
NagaCorp: Risks related to Cambodia's political and economic stability and changes in gaming industry regulation.

New Arguments, Data, and Perspectives

1. NagaCorp's Expansion Risks and Flexibility

Naga 3's Scale Adjustment Mechanism: The final scale of Naga 3 is flexible, to be dynamically adjusted based on the company's financial condition and Cambodia's economic and tourism outlook. This "flexible design" reduces the risk of overinvestment but also introduces uncertainty regarding project completion time and returns.
UNESCO's Obstruction of Angkor Lake of Wonder: The project was halted by UNESCO due to its proximity to Angkor Wat, highlighting the regulatory risks of developing tourism facilities near cultural heritage sites. The company is coordinating with various parties, but the project timeline may be delayed beyond 2025.
Repeated Delays of the Vladivostok Project: This Russian casino project has been postponed multiple times due to construction company issues, with an expected opening next year. This reflects the complexity of cross-border projects in terms of politics, law, and construction management, especially in Russia's Far East business environment.

2. High Alignment of Management Interests

Dr. Chen's Shareholding and Financing Commitment: Founder and CEO Dr. Chen holds over 65% of the company and has committed to funding 50% of Naga 3 ($1.75 billion) through a rights issue (HK$12 per share, current stock price ~HK$7). This would increase his stake to 73%, further aligning his interests with minority shareholders.
Inversion of Rights Issue Price and Market Price: The rights issue price (HK$12) is significantly higher than the current market price (about HK$7), indicating the major shareholder's confidence in the company's long-term value, but it could also dilute existing shareholders' equity if the stock price remains low.

3. Valuation Attractiveness of Millennium Investment and Acquisition

Indicator	Value
Expected Pre-tax Profit (Four Assets, Conservative Assumption)	~$35 million
Quarter-end Market Cap	~$75 million
Implied P/E	~2.1x
Management Ownership (David Lesser)	~19.5%

Low-Cost Acquisition Strategy: Millennium acquires assets at deep discounts through forced sales, such as greenhouse and outdoor cultivation facilities in Michigan, Colorado, and Oklahoma. This "distressed asset" acquisition model lowers initial costs but requires attention to asset integration and operational efficiency.
Free Option: Activated Carbon Business: The company is developing technology to extract activated carbon from macadamia nut shells for applications in energy storage. This asset was also acquired through a bankruptcy purchase and is currently not valued; successful commercialization could bring additional value.

4. Grupo DIA's Transformation and Margin of Safety

Improved Capital Structure: After three capital increases (totaling over €2.1 billion), DIA's debt has been reduced by about 75%, financing costs have dropped significantly, and liquidity risk has been substantially lowered. LetterOne currently holds nearly 78%, with management and shareholders highly aligned.
Expected Operational Reforms:
Store Renovations: Expected to increase sales per square meter by 10%-20% in renovated stores, narrowing the gap with competitors and improving margins through operating leverage.
Franchise Model Optimization: Improving franchisee margins and adopting a more flexible working capital system to enhance franchisee sustainability.
Margin of Safety: Even if business targets for the next three years are not met, the current stock price offers a high margin of safety, protecting investors from downside risk.

5. Logic Behind Other Position Adjustments

Ercros Exit: Benefited from the economic recovery, the stock performed strongly, but relative to other new positions, its potential return was lower, leading to a full sale.
Greenalia Re-establishment: The stock corrected about 50% from its peak, and the market has not fully reflected the value of its project portfolio, presenting a buying opportunity.
Prim Continued Accumulation: Continuing the strategy from the previous quarter, favoring its fundamentals and valuation.

6. Comparative Data: Valuation and Risk of NagaCorp vs. Millennium

Dimension	NagaCorp	Millennium
Core Business	Cambodian casino and resort	US greenhouse cannabis cultivation
Expansion Projects	Naga 3 ($3.5B), Angkor Project ($350M), Vladivostok Casino	Four assets (Michigan, Colorado, Oklahoma)
Management Ownership	Dr. Chen >65% (73% after rights issue)	David Lesser ~19.5%
Valuation Multiple (Conservative Scenario)	~6x normalized free cash flow (no expansion)	~2.1x expected pre-tax profit
Key Risks	Cambodia political/economic risk, UNESCO obstruction, project delays	Asset integration risk, cannabis industry regulation, activated carbon commercialization uncertainty
Free Option	None	Activated carbon business (unvalued)

7. Key Conclusions

NagaCorp: Despite risks like dependence on Chinese tourists to Cambodia and UNESCO obstruction, the no-expansion scenario implies only 6x free cash flow, offering a high margin of safety. Management interests are highly aligned, but attention should be paid to the dilutive effect of the rights issue on minority shareholders.
Millennium: Acquires a quality management team (same team as Power REIT) and distressed assets at a very low valuation, with a free option attached. Risks lie in cannabis industry volatility and asset operational efficiency.
DIA: After multiple capital increases and debt restructuring, financial risk has been significantly reduced. Operational reforms are expected to improve same-store sales and franchisee profitability. The current stock price offers sufficient margin of safety, but attention should be paid to retail industry competition and changes in consumer confidence.