- The report introduces the **Cinda-VIX volatility index**, which reflects investors' expectations of future volatility in the options market. The index is structured to capture different time horizons, providing insights into short-term and long-term volatility expectations. As of November 7, 2025, the 30-day Cinda-VIX values for major indices are: 18.55 for SSE 50, 19.17 for CSI 300, 26.21 for CSI 500, and 23.84 for CSI 1000[64][66][67] - The **Cinda-SKEW index** measures the skewness of implied volatility across different strike prices in the options market. It captures market sentiment regarding tail risks, with higher values indicating increased concern about potential market downturns. As of November 7, 2025, the SKEW values for major indices are: 103.82 for SSE 50, 108.08 for CSI 300, 101.38 for CSI 500, and 106.80 for CSI 1000[73][76][78] - The report evaluates **index futures basis adjustment**, where the annualized basis is calculated as: $ Annualized Basis = (Actual Basis + Expected Dividend Points) / Index Price × 360 / Remaining Days of Contract $ This adjustment accounts for the impact of dividends on futures prices during the contract's lifespan[20][21][28] - The **IC futures contract** (CSI 500) shows a downward trend in annualized basis, with a current basis of -9.74% as of November 7, 2025, lower than the median since 2022. The contract's trading volume and open interest have decreased compared to the previous week[21][22][27] - The **IF futures contract** (CSI 300) exhibits a current annualized basis of -2.96%, also below the median since 2022. Trading volume and open interest for IF contracts have similarly declined week-over-week[28][29][32] - The **IH futures contract** (SSE 50) has a current annualized basis of -0.24%, reflecting a decrease from the previous week. Open interest and trading volume for IH contracts have also reduced[33][34][37] - The **IM futures contract** (CSI 1000) shows a current annualized basis of -12.49%, marking a decline from the prior week. Open interest and trading volume for IM contracts have decreased as well[39][41][44] - The report evaluates **hedging strategies** for index futures, including continuous hedging and minimum basis strategies. Continuous hedging involves rolling over contracts near expiration, while minimum basis strategies select contracts with the smallest basis. Both strategies are tested across IC, IF, IH, and IM futures contracts[46][47][48] - **IC hedging strategy results**: - Annualized returns: -3.20% (monthly), -2.20% (quarterly), -1.69% (minimum basis) - Volatility: 3.84% (monthly), 4.76% (quarterly), 4.56% (minimum basis) - Maximum drawdown: -10.25% (monthly), -8.34% (quarterly), -7.97% (minimum basis) - Net value: 0.8990 (monthly), 0.9297 (quarterly), 0.9459 (minimum basis)[49][50][52] - **IF hedging strategy results**: - Annualized returns: 0.43% (monthly), 0.72% (quarterly), 1.18% (minimum basis) - Volatility: 2.93% (monthly), 3.28% (quarterly), 3.05% (minimum basis) - Maximum drawdown: -3.95% (monthly), -4.03% (quarterly), -4.06% (minimum basis) - Net value: 1.0141 (monthly), 1.0237 (quarterly), 1.0391 (minimum basis)[51][55][54] - **IH hedging strategy results**: - Annualized returns: 1.09% (monthly), 1.99% (quarterly), 1.72% (minimum basis) - Volatility: 3.01% (monthly), 3.41% (quarterly), 3.02% (minimum basis) - Maximum drawdown: -4.22% (monthly), -3.75% (quarterly), -3.91% (minimum basis) - Net value: 1.0361 (monthly), 1.0668 (quarterly), 1.0574 (minimum basis)[56][59][58] - **IM hedging strategy results**: - Annualized returns: -6.26% (monthly), -4.58% (quarterly), -4.20% (minimum basis) - Volatility: 4.75% (monthly), 5.78% (quarterly), 5.54% (minimum basis) - Maximum drawdown: -14.00% (monthly), -12.63% (quarterly), -11.11% (minimum basis) - Net value: 0.8282 (monthly), 0.8437 (quarterly), 0.8620 (minimum basis)[60][61][62]

Core Insights - Traders are facing unprecedented challenges in pricing inflation-linked securities due to the unavailability of Consumer Price Index (CPI) data amid the U.S. government shutdown, which may extend the data void [1] - The shutdown has prompted investors to activate "backup mechanisms" embedded in legal documents of inflation-linked bonds and derivatives, which have not been practically tested [1][2] - The differences in backup mechanisms for various inflation-linked securities, such as TIPS and inflation swaps, have led to significant market distortions [1][2] Group 1: Market Dynamics - The U.S. inflation-protected securities market, valued at $2 trillion, uses a different calculation method compared to the $5 trillion inflation swap market, leading to discrepancies in performance [1] - A TIPS maturing in January 2025 has shown stronger performance due to market expectations of higher returns, exacerbated by the ongoing government shutdown [1][4] - The longer the government shutdown persists, the more severe the distortions in the market for hedging inflation and measuring inflation expectations will become [1] Group 2: Backup Mechanisms - The backup calculation method for TIPS is defined by the U.S. Treasury, which will use the latest available 12 months of CPI changes to publish a synthetic value if October CPI data is missing [2] - For zero-coupon inflation swaps, the International Swaps and Derivatives Association (ISDA) specifies that the backup calculation will rely on October 2024 CPI data, compounded with the year-over-year increase until September 2025 [2] - The activation of backup mechanisms will have a unique impact on the interest and principal payments of TIPS due in January 2025, as these are calculated based on CPI values from October and November [2] Group 3: Performance Metrics - Calculations indicate that if both October and November CPI data are missing, the annualized breakeven rate for the January 2025 TIPS will reach 3.15%, while the same rate for inflation swaps will only be 1.76% [3] - There is a significant gap between the breakeven rates of TIPS and inflation swaps, highlighting the potential for relative value opportunities in the inflation market [4] - If the government shutdown extends for several more weeks, the strengthening trend of the January 2025 TIPS may continue [4]

Core Viewpoint - The gold and silver markets experienced a significant crash, with gold prices dropping over 6% and silver prices also declining sharply, indicating a potential market correction after a period of rapid price increases [1][4][5]. Market Performance - As of the latest report, spot gold fell to approximately $4,112.37 per ounce, down 5.58% from previous levels, while COMEX futures were reported at $4,145 per ounce, down 4.92% [1][2]. - Silver prices also saw a notable decline, with London silver trading at $48.18 per ounce, down 8.02%, and COMEX silver futures dropping to $47.44 per ounce, down 7.69% [4][5]. Investor Behavior - The market correction is attributed to profit-taking by investors after a period of strong performance, as well as a decrease in safe-haven demand [7]. - Analysts suggest that the recent price surge was driven by expectations of further interest rate cuts by the Federal Reserve and geopolitical tensions, which have now eased, leading to a rapid adjustment in precious metals [7][8]. Future Outlook - Analysts express mixed views on the future of gold prices, with some indicating that the potential for further declines may outweigh the chances of an increase, particularly if high-net-worth investors reduce their gold holdings [9]. - HSBC's commodity outlook report suggests that gold's upward momentum could continue until 2026, driven by strong central bank purchases and ongoing fiscal concerns in the U.S., with a target price of $5,000 per ounce [10].

- The report introduces the **Cinda-VIX volatility index**, which reflects investors' expectations of future volatility in the options market. The index is calculated based on methodologies adapted from international practices and tailored to China's options market. It includes a term structure to show volatility expectations over different time horizons. As of October 10, 2025, the 30-day Cinda-VIX values for major indices are: 20.50 for SSE 50, 20.30 for CSI 300, 26.71 for CSI 500, and 24.66 for CSI 1000[62][64][65] - The **Cinda-SKEW index** measures the skewness of implied volatility across different strike prices of options. It captures market expectations of potential tail risks, with higher values indicating increased concerns about significant downside risks. As of October 10, 2025, the SKEW values for major indices are: 99.06 for SSE 50, 105.08 for CSI 300, 101.31 for CSI 500, and 104.27 for CSI 1000[69][70][77] - The report evaluates **basis-adjusted futures hedging strategies** for major indices (CSI 500, CSI 300, SSE 50, CSI 1000). The strategies include continuous monthly hedging, continuous quarterly hedging, and minimum basis strategies. The strategies are tested over the period from July 22, 2022, to October 10, 2025, with specific parameters such as holding periods, rebalancing rules, and capital allocation between spot and futures positions[44][45][46] - **Performance of IC hedging strategies** (CSI 500 futures): The annualized returns are -3.09% for monthly continuous hedging, -2.20% for quarterly continuous hedging, and -1.49% for minimum basis strategy, compared to 5.22% for the index. Volatility ranges from 3.88% to 4.79%, and maximum drawdowns range from -7.97% to -9.77%. Net values are 0.9045, 0.9314, and 0.9532, respectively[47][48] - **Performance of IF hedging strategies** (CSI 300 futures): The annualized returns are 0.45% for monthly continuous hedging, 0.66% for quarterly continuous hedging, and 1.22% for minimum basis strategy, compared to 2.72% for the index. Volatility ranges from 2.96% to 3.31%, and maximum drawdowns range from -3.95% to -4.06%. Net values are 1.0145, 1.0213, and 1.0395, respectively[49][53] - **Performance of IH hedging strategies** (SSE 50 futures): The annualized returns are 1.07% for monthly continuous hedging, 1.95% for quarterly continuous hedging, and 1.70% for minimum basis strategy, compared to 1.37% for the index. Volatility ranges from 3.04% to 3.45%, and maximum drawdowns range from -3.75% to -4.22%. Net values are 1.0344, 1.0637, and 1.0553, respectively[54][57] - **Performance of IM hedging strategies** (CSI 1000 futures): The annualized returns are -6.21% for monthly continuous hedging, -4.53% for quarterly continuous hedging, and -4.10% for minimum basis strategy, compared to 1.16% for the index. Volatility ranges from 4.77% to 5.80%, and maximum drawdowns range from -11.11% to -14.00%. Net values are 0.8294, 0.8511, and 0.8658, respectively[58][59]

Group 1: Common Option Structures - The three common option structures—Snowball, Phoenix, and Fixed Coupon Notes (FCN)—are essentially barrier options, with specific characteristics regarding cash flow and risk exposure [2][3]. - The classic Snowball structure allows for cash flow only at maturity or upon knock-out, while the Phoenix structure enables monthly cash flow as long as the price is above the knock-in line [2]. - FCN provides fixed coupon payments regardless of price movements during the holding period, making it attractive for conservative investors due to a significantly lower probability of knock-in [2]. Group 2: Profit and Loss Scenarios - In scenarios without knock-in, all three structures yield similar returns, with higher coupon structures being more favorable [3]. - In cases where knock-in occurs but knock-out does not, Snowball and FCN can still yield returns, while Phoenix's cash flow is affected by the knock-in event [3]. - If knock-in occurs and the asset price is below the exercise price at maturity, losses may occur, with Snowball being the most adversely affected due to no cash flow during the holding period [3]. Group 3: Risk and Return Dynamics - The risk-return relationship indicates that Phoenix typically offers lower coupons than Snowball, while FCN generally has the lowest coupon rates [4]. Group 4: Market Timing Considerations - Proper market timing is essential, as no option structure guarantees profit in all market conditions [5]. Group 5: Delta and Volatility Analysis - All three structures maintain a positive Delta, indicating a bullish stance on the underlying asset, and are more suitable for moderate upward or sideways markets [7]. - The expected volatility is positively correlated with coupon rates, as higher volatility increases the likelihood of reaching knock-in conditions [8]. - The structures tend to be short volatility in most scenarios, making high volatility periods favorable for entry [10]. Group 6: Selection of Underlying Assets - The choice of underlying assets significantly impacts the performance of the structured products, with the China Securities 500 Index being identified as a suitable candidate due to its risk-return profile [14][16]. - The analysis of daily return distributions shows that the Hang Seng Tech Index has the lowest probability of extreme negative returns, making it a favorable option [14][15]. Group 7: Historical Backtesting and Timing Strategies - Historical backtesting indicates that FCN can effectively mitigate knock-in losses, making it a lower-risk option compared to Snowball [16]. - Rational timing strategies suggest that selecting more aggressive structures during low-risk periods and conservative structures during higher-risk periods can optimize returns [16]. Group 8: Structural Variations and Adjustments - The flexibility in setting barriers allows for various structural adjustments to balance risk and return, such as eliminating knock-in features or adjusting the knock-out thresholds [19].

Group 1 - The founder of Universa Investments, Mark Spitznagel, predicts that the U.S. stock market could rise by approximately 20%, pushing the S&P 500 index above 8,000 points before a significant market crash similar to the 1929 stock market crash occurs [1][3][4] - Spitznagel warns of a potential 80% market crash following a major historical rebound, indicating that the current market phase is a rebound rather than a conclusion [3][4] - Universa Investments, based in Miami, manages $20 billion in assets and specializes in hedging against "black swan" events, achieving an average capital return rate exceeding 100% since its inception in 2007 [4] Group 2 - Despite the recent positive economic performance, Spitznagel believes that the excessive monetary easing since 2008 continues to support the economy, and the full impact of rising interest rates post-pandemic has yet to be realized [5]

Group 1 - Goldman Sachs highlights that commodities, particularly gold, are becoming key tools for hedging traditional asset risks due to factors like the independence risk of the Federal Reserve and supply chain concentration [1][4] - The firm maintains a bullish outlook on gold, setting a target price of $3,700 per ounce by the end of 2025 and $4,000 per ounce by mid-2026, with a potential extreme scenario price exceeding $4,500 per ounce [1][4] - Structural trends such as de-risking energy, increased defense spending, and dollar diversification are tightening the supply-demand dynamics in the commodity market [1][7] Group 2 - The report indicates that since spring, the market has shifted from tariff uncertainties to tariff realities, stabilizing economic activity indicators and reducing the probability of a U.S. recession [2] - Despite a slowdown in U.S. job growth, the attractiveness of commodities as a diversification tool in investment portfolios is increasing, with expectations for commodities to play a more significant role in hedging inflation and extreme risks [2] Group 3 - Goldman Sachs' baseline scenario predicts only moderate positive returns for commodity indices over the next 12 months, while maintaining bullish views on gold, copper, and U.S. natural gas [3] - The firm anticipates a surplus of 1.8 million barrels per day in the global oil market by 2026, driven by strong non-OPEC oil supply growth, which could push Brent crude prices down to $50 per barrel [3] Group 4 - The risk of the Federal Reserve's independence being compromised could lead to rising inflation, falling long-term bond prices, declining stock prices, and a weakened status of the dollar as a reserve currency [4] - If private investors diversify into gold similarly to central banks, gold prices could potentially exceed $4,500 per ounce, significantly higher than the $4,000 mid-2026 baseline forecast [4] Group 5 - Increased concentration in commodity supply poses significant risks, with key commodity supplies being concentrated in geopolitically sensitive regions [5][6] - The report cites examples like the 2022 Russia-Europe gas crisis to illustrate how supply chain vulnerabilities can impact commodity prices [6] Group 6 - The three structural trends (de-risking energy, defense spending, dollar diversification) are expected to support a long-term bull market for commodities [7][8][9][10] - Global energy security policies are driving a surge in investments in electrical grids, significantly increasing copper demand, with prices projected to reach $10,750 per ton by 2027 [8] - Increased military spending in Europe is expected to raise the GDP share from 1.9% in 2024 to 2.7% in 2027, boosting demand for industrial metals like copper, nickel, and steel [9] - Central banks have significantly increased gold purchases since 2022, driven by geopolitical tensions, which has been a core factor in the 94% rise in gold prices since then [10]

Core Viewpoint - Concerns regarding the independence of the Federal Reserve are increasing among investors as President Trump seeks to influence its policies, particularly in pushing for interest rate cuts [1] Group 1: Investor Sentiment - Investors are preparing for potential inflation increases, as indicated by the positioning in equity, bond, and gold markets [1] - The involvement of close Trump advisor Stephen Miran in the Federal Reserve and the push to replace board member Lisa Cook have raised alarms among market participants [1] Group 2: Institutional Credibility - Analysts from Goldman Sachs, including Samantha Dart, highlight growing concerns about the credibility of U.S. institutions, which could lead to significant tail risks [1] - These risks may result in a surge in commodity prices, including gold, as investors react to the perceived threats to institutional integrity [1]

- The report discusses the construction and performance of various quantitative models and factors related to stock index futures and options markets[2][4][6] Quantitative Models and Construction Methods 1. **Model Name: Stock Index Futures Basis Adjustment Model** - **Model Construction Idea**: The model aims to adjust the basis of stock index futures by considering the impact of dividends during the contract period[9] - **Model Construction Process**: - The basis is defined as the difference between the futures contract closing price and the underlying index closing price - The formula for the expected dividend-adjusted basis is: $ \text{Expected Dividend-Adjusted Basis} = \text{Actual Basis} + \text{Expected Dividends during the Contract Period} $ - The annualized basis is calculated as: $ \text{Annualized Basis} = (\text{Actual Basis} + \text{Expected Dividend Points}) / \text{Index Price} \times 360 / \text{Remaining Days of the Contract} $[21] - **Model Evaluation**: The model effectively adjusts the basis by accounting for the impact of dividends, providing a more accurate measure of the futures contract's value[21] 2. **Model Name: Continuous Hedging Strategy** - **Model Construction Idea**: The strategy aims to hedge the spot index by continuously holding futures contracts and adjusting positions based on the contract's expiration[44] - **Model Construction Process**: - The strategy involves holding the total return index of the corresponding underlying index on the spot side - On the futures side, 70% of the funds are used for the spot side, and the same nominal principal amount is used for short hedging with stock index futures contracts - The positions are adjusted continuously by holding the quarterly/monthly contracts until the remaining days to expiration are less than 2 days, then rolling over to the next contract[45] - **Model Evaluation**: The strategy provides a systematic approach to hedging, reducing the impact of market fluctuations on the portfolio[45] 3. **Model Name: Minimum Discount Strategy** - **Model Construction Idea**: The strategy selects futures contracts with the smallest annualized basis discount for hedging[46] - **Model Construction Process**: - The strategy involves holding the total return index of the corresponding underlying index on the spot side - On the futures side, 70% of the funds are used for the spot side, and the same nominal principal amount is used for short hedging with stock index futures contracts - The positions are adjusted by selecting the futures contract with the smallest annualized basis discount and holding it for 8 trading days or until the remaining days to expiration are less than 2 days[46] - **Model Evaluation**: The strategy aims to optimize the hedging performance by selecting contracts with the least discount, potentially improving returns[46] Model Backtesting Results 1. **IC Hedging Strategy** - Annualized Return: -2.87% (Monthly Continuous Hedging), -1.87% (Quarterly Continuous Hedging), -1.12% (Minimum Discount Strategy), 0.18% (Index Performance) - Volatility: 3.83%, 4.72%, 4.61%, 20.97% - Maximum Drawdown: -8.65%, -8.34%, -7.97%, -31.46% - Net Value: 0.9155, 0.9443, 0.9665, 1.0054 - Annual Turnover: 12, 4, 17.15 - 2025 YTD Return: -3.90%, -0.97%, -1.22%, 14.02%[48] 2. **IF Hedging Strategy** - Annualized Return: 0.55% (Monthly Continuous Hedging), 0.78% (Quarterly Continuous Hedging), 1.36% (Minimum Discount Strategy), -1.05% (Index Performance) - Volatility: 2.97%, 3.32%, 3.10%, 17.08% - Maximum Drawdown: -3.95%, -4.03%, -4.06%, -25.59% - Net Value: 1.0169, 1.0239, 1.0417, 0.9686 - Annual Turnover: 12, 4, 15.17 - 2025 YTD Return: -0.65%, 0.40%, 0.80%, 7.45%[51] 3. **IH Hedging Strategy** - Annualized Return: 1.11% (Monthly Continuous Hedging), 2.04% (Quarterly Continuous Hedging), 1.77% (Minimum Discount Strategy), -0.69% (Index Performance) - Volatility: 3.08%, 3.50%, 3.10%, 16.29% - Maximum Drawdown: -4.22%, -3.76%, -3.91%, -22.96% - Net Value: 1.0340, 1.0630, 1.0548, 0.9792 - Annual Turnover: 12, 4, 15.83 - 2025 YTD Return: 0.32%, 1.36%, 1.36%, 6.85%[54] 4. **IM Hedging Strategy** - Annualized Return: -6.07% (Monthly Continuous Hedging), -4.44% (Quarterly Continuous Hedging), -3.88% (Minimum Discount Strategy), -0.49% (Index Performance) - Volatility: 4.72%, 5.76%, 5.56%, 25.72% - Maximum Drawdown: -14.01%, -12.63%, -11.11%, -41.60% - Net Value: 0.8346, 0.8629, 0.8725, 0.9185 - Annual Turnover: 12, 4, 15.85 - 2025 YTD Return: -9.60%, -4.77%, -4.37%, 17.96%[59] Quantitative Factors and Construction Methods 1. **Factor Name: Cinda-VIX** - **Factor Construction Idea**: The Cinda-VIX index reflects the market's expectation of future volatility of the underlying asset based on option prices[61] - **Factor Construction Process**: - The index is constructed by adjusting the methodology used in international markets to suit the Chinese market - It captures the implied volatility of options on major indices over different time horizons[61] - **Factor Evaluation**: The Cinda-VIX index provides valuable insights into market sentiment and expected volatility, aiding in risk management and investment decisions[61] 2. **Factor Name: Cinda-SKEW** - **Factor Construction Idea**: The Cinda-SKEW index measures the skewness of implied volatility across different strike prices, indicating market expectations of tail risk[67] - **Factor Construction Process**: - The index captures the skewness in implied volatility by analyzing the differences in implied volatility for options with different strike prices - A higher SKEW index indicates greater concern about potential market downturns[67] - **Factor Evaluation**: The Cinda-SKEW index is a useful tool for assessing market sentiment regarding tail risks and potential extreme events[67] Factor Backtesting Results 1. **Cinda-VIX** - 30-day VIX values as of August 8, 2025: 18.48 (SSE 50), 18.32 (CSI 300), 23.46 (CSI 500), 23.00 (CSI 1000)[61] 2. **Cinda-SKEW** - SKEW values as of August 8, 2025: 102.35 (SSE 50), 109.58 (CSI 300), 105.49 (CSI 500), 114.07 (CSI 1000)[68]

- The SKEW index has reached historical highs, signaling elevated tail risk concerns. Specifically, the SKEW values for major indices are as follows: CSI 1000 SKEW at 110.41, CSI 500 SKEW at 99.92, SSE 50 SKEW at 101.43, and CSI 300 SKEW at 106.06[4][73][78] - The Cinda-VIX index reflects market expectations of future volatility. As of August 1, 2025, the 30-day VIX values for major indices are: SSE 50 VIX at 19.16, CSI 300 VIX at 19.22, CSI 500 VIX at 23.22, and CSI 1000 VIX at 22.76[4][64][66] - The SKEW index measures implied volatility skew across different strike prices, capturing market sentiment regarding tail risks. A SKEW value above 100 indicates heightened concerns about potential market downturns, often associated with increased demand for out-of-the-money put options[73][78] - The Cinda-VIX index incorporates term structures to reflect volatility expectations across different time horizons, providing insights into investor sentiment for various periods[64][66][70] - The CSI 500 futures contract (IC) adjusted annualized basis spread declined to -10.33%, while the CSI 1000 futures contract (IM) adjusted annualized basis spread fell to -11.85%[22][39][46] - The CSI 500 futures contract (IC) hedging strategy achieved weekly returns of 0.55%, while the CSI 1000 futures contract (IM) hedging strategy delivered weekly returns of 0.32%[4][49][60] - The CSI 500 futures contract (IC) hedging strategy's annualized return ranged from -2.80% to -1.04%, with volatility between 3.84% and 4.63%, and maximum drawdown from -8.65% to -7.97%[49][50][52] - The CSI 1000 futures contract (IM) hedging strategy's annualized return ranged from -6.03% to -3.84%, with volatility between 4.73% and 5.57%, and maximum drawdown from -14.00% to -11.11%[60][61][62]