满屏除了避险黄金和黄金股 以及国债。其它全是绿色的。 | 恒指期货 | 恒生科技期货 | 纳指100小型 | | --- | --- | --- | | 24968 | 5939 | 24617.00 | | -1314 -5.00% | -312 -4.99% | -672.25 -2.66% | | 道琼斯 | 纳斯达克 | 标普500 | | 45655.69 | 22368.23 | 6590.29 | | -702.73 -1.52% | -656.40 -2.85% | -144.82 -2.15% | | 伦敦金现 | 伦敦银现 | COMEX重金 | | 4007.887 | 49.923 | 4016.0 | | +31.937 +0.80% | +0.718 +1.46% | +43.4 +1.09% | | COMEX白银 | SHFE黄金 | SHFE自银 | | 47.435 | 913.26 | 11059 | | +0.278 +0.59% | +3.82 +0.42% | -154 -1.37% | 美股大跌 纳斯达克跌了2.8%了。A50期货跌了3.86%。 每次长假后都要这 ...

来源：市场资讯 （来源：一德期货） | 标的品种 | 9月30日 | 10月9日 | 假期涨跌幅 | | --- | --- | --- | --- | | | 15:00报价 | 07:00报价 | | | 马棕油 | 4369 | 4546 | 4.05% | | COMEX黄金 | 3883.9 | 4039.9 | 4.02% | | COMEX铜 | 4.8810 | 5.0670 | 3.81% | | 德DAX 30 | 23775.12 | 24597.13 | 3.46% | | CBOT豆油 | 49.67 | 51.34 | 3.36% | | LmeS铝 | 2664.5 | 2750.5 | 3.23% | | LmeS锡 | 35125 | 36250 | 3.20% | | LmeS铜 | 10375.0 | 10701.0 | 3.14% | | COMEX白银 | 46.965 | 48.250 | 2.74% | | 美天然气 | 3.253 | 3.341 | 2.71% | | LmeS锌 | 2917.5 | 2995.0 | 2.66% | | CBOT大豆 | 1 ...

报告导读： 中国国庆中秋假期期间，海外政经领域波动加剧，美国两党围绕临时拨款法案 和医保补贴争执不下，政府陷入停摆，日本自民党新总裁上任，法国新总理辞职，显示海 外政治波动加大，其本质均是财政等经济问题，巴以谈判举步维艰。国际环境进入新一轮 动荡期，假期期间黄金价格得到持续支撑，再创新高，原油价格震荡下跌。 假期海外大事件梳理： 全球大类资产表现。 假期期间（ 2025.9.30-2025.10.7 ），全球大类资产价格中，大宗商品价格涨跌分化，股票市场多数上涨。 日经 225 上涨 6.72% ， 新兴市场股票指数上涨 2.17% ，发达市场股票指数上涨 0.80% ，标普 500 上涨 0.39% 。大宗商品价格涨跌分化，其中， COMEX 铜上涨 4.38% ，伦 敦金现上涨 3.28% ，标普 - 高盛商品指数上涨 0.46% ， IPE 布油期货下跌 1.98% 。 经济： 美国方面： 经济仍处于边际放缓通道。 2025 年 9 月 Markit 制造业指数为 52.0% ，相较于前值 53.0% ，有所下降； ISM 非制造业 PMI 为 50.0% ，相较于前值 52.0% 大幅下降。 欧洲方面 ...

合息均来源于必开资格。我公司对这些信息的非确性的定整批不作任何促证。报告中的内容本意见优美参考，并不得此时报老日许买卖的出会就看到。家庭可以来没对我有这裡的来做到我们的人的一种意识的人类的手放去做到我们 。本届你仅将的定掌护依道，版权归还减算优利。未经我公司�面许可。任何批发中个人均不得以任何涉议监报、发朝、引用或者袭。时间、等表、刊发，预注 冠通期货研究咨询部 王 静, 执业资格证号F0235424/Z00 联系方式:010-85356618 6% 3% 2 119 1.01% 1.01% 1.01% 1.0.24% 1.42% -15% 1.02% 10% 0.57% 0.78% 0.3% 0.38% 0.249 0% -3% -୧% 给3W1 rdana 美元指数 kki TO 80 w-iTO80 冠生值 MEA ggaw 833W k |TO83 载TO83 最小1730 cess="ht 00S # 郭 新城达克拉 ZZ战四 피'가-1.08 AHICA 品N k Be Book on A 大宗商品 其他雷 要指标 十一假期外盘市场涨跌幅统计 研究咨询部 2025/10/8 | 板块 | 名称 | ...

- The Black-Litterman (BL) model is an improved version of the mean-variance optimization (MVO) model developed by Fisher Black and Robert Litterman in 1990. It combines Bayesian theory with quantitative asset allocation models, allowing investors to incorporate subjective views into asset return forecasts and optimize portfolio weights. This model addresses MVO's sensitivity to expected returns and provides a more robust framework for efficient asset allocation[12][13][14] - The BL model was implemented for both global and domestic assets. For global assets, it utilized indices such as the S&P 500, Hang Seng Index, and COMEX Gold. For domestic assets, it included indices like CSI 300, CSI 1000, and SHFE Gold. Two variations of the BL model were constructed for each asset category[13][14][18] - The Risk Parity model, introduced by Bridgewater in 2005, aims to equalize risk contributions across asset classes in a portfolio. It calculates initial asset weights based on expected volatility and correlation, then optimizes deviations between actual and expected risk contributions to determine final portfolio weights[17][18][20] - The Risk Parity model was applied to both global and domestic assets. Global assets included indices such as CSI 300, S&P 500, and COMEX Gold, while domestic assets incorporated CSI 300, CSI 1000, and SHFE Gold. The model followed a three-step process: selecting assets, calculating risk contributions, and solving optimization problems for portfolio weights[18][20][21] - The Macro Factor-based Asset Allocation model constructs a framework using six macroeconomic risk factors: growth, inflation, interest rates, credit, exchange rates, and liquidity. It employs Factor Mimicking Portfolio methods to calculate high-frequency macro factors and integrates subjective views on macroeconomic conditions into asset allocation decisions[22][24][25] - The Macro Factor-based model involves four steps: calculating factor exposures for assets, determining benchmark factor exposures using a Risk Parity portfolio, incorporating subjective factor deviations based on macroeconomic forecasts, and solving for asset weights that align with target factor exposures[22][24][25] Model Performance Metrics - Domestic BL Model 1: Weekly return -0.11%, September return -0.14%, 2025 YTD return 3.23%, annualized volatility 2.19%, maximum drawdown 1.31%[14][17] - Domestic BL Model 2: Weekly return -0.11%, September return -0.13%, 2025 YTD return 2.84%, annualized volatility 1.99%, maximum drawdown 1.06%[14][17] - Global BL Model 1: Weekly return 0.04%, September return 0.11%, 2025 YTD return 0.84%, annualized volatility 1.99%, maximum drawdown 1.64%[14][17] - Global BL Model 2: Weekly return 0.00%, September return 0.03%, 2025 YTD return 1.84%, annualized volatility 1.63%, maximum drawdown 1.28%[14][17] - Domestic Risk Parity Model: Weekly return -0.06%, September return 0.05%, 2025 YTD return 2.99%, annualized volatility 1.35%, maximum drawdown 0.76%[20][21] - Global Risk Parity Model: Weekly return -0.07%, September return 0.13%, 2025 YTD return 2.50%, annualized volatility 1.48%, maximum drawdown 1.20%[20][21] - Macro Factor-based Model: Weekly return 0.04%, September return 0.26%, 2025 YTD return 3.29%, annualized volatility 1.32%, maximum drawdown 0.64%[26][27]

以下文章来源于思哲与创富 ，作者思哲 ↑点击上面图片 加雪球核心交流群 作者： 思哲与创富 来源：雪球 昨天有个人评论区说自己已经满仓满融科技了。 吃肉我倒不羡慕 ，因为我知道跑得不够快的话 ， 老寒腿可能随时被埋里面 。 思哲与创富 . 全天候-永久投资策略投顾主理人，全球资产配置，为你做好家庭投资框架，穿越牛熊 看我文章比较久的读者 ， 应该也知道 ， 我是一个全球多元资产配置理念的践行者 ， 行业都很少配置 ， 更何况是一些高估值行业。 更多是资产包里面放多少比例的价值股 ， 成长股 ， 大类资产可以配置黄金 、 美债 、 美股ETF等等 ， 不少人对 资产配置 还是没啥概念 ， 觉得我这么分散肯定赚不到钱 ， 只有集中火力all in才能赚个大的。 这里我别的不说哈 ， 你们可以自己回测一下基金组合 ， 看下资产配置策略怎么样 ， 这里以 永久投资组合 为例 ， 输入 纳斯达克100 、 标普 500 、 美元债 、 中债 、 黄金。 我们设置纳斯达克100配比12.5% ， 标普500配比12.5% ， 黄金配比25% ， 中债25% ， 美债25% ， 然后就可以生成一个永久策略的历史数据回测图 ...

Report Summary 1. Report Industry Investment Rating - No information provided in the given content. 2. Core Viewpoints - The report presents the average and median price changes of various commodities and indices during the National Day holidays over the past ten years and the past five years, including NYMEX crude oil, NYMEX natural gas, COMEX gold, COMEX silver, LME copper, LME zinc, LME nickel, LME aluminum, LME tin, LME lead, CBOT soybeans, CBOT corn, CBOT soybean oil, CBOT soybean meal, CBOT wheat, CBOT rice, ICE 11 - sugar, ICE 2 - cotton, S&P 500, US Dollar Index, CRB Commodity Index, and BDI [1][3] 3. Summary by Relevant Catalogs 3.1 NYMEX Crude Oil - Over the past ten years, the average price change during the National Day holiday was 3.18%, with a median of 3.33%. In the past five years, the average was 5.75%, and the median was 4.97% [1] 3.2 NYMEX Natural Gas - The ten - year average price change was 0.97%, and the median was - 1.57%. In the past five years, the average was 0.73%, and the median was - 3.19% [1] 3.3 COMEX Gold - The ten - year average price change was 0.08%, and the median was 0.30%. In the past five years, the average was 0.14%, and the median was 0.21% [1] 3.4 COMEX Silver - The ten - year average price change was 1.33%, and the median was 1.82%. In the past five years, the average was 1.54%, and the median was 2.01% [1] 3.5 LME Copper - The ten - year average price change was 0.26%, and the median was - 0.16%. In the past five years, the average was 0.44%, and the median was - 0.25% [1] 3.6 LME Zinc - The ten - year average price change was - 0.21%, and the median was 0.09%. In the past five years, the average was - 0.21%, and the median was - 0.29% [1] 3.7 LME Nickel - The ten - year average price change was 0.88%, and the median was 1.06%. In the past five years, the average was 1.67%, and the median was 2.20% [1] 3.8 LME Aluminum - The ten - year average price change was 1.87%, and the median was 1.91%. In the past five years, the average was 2.38%, and the median was 2.04% [1] 3.9 LME Tin - The ten - year average price change was 0.98%, and the median was 1.07%. In the past five years, the average was 0.58%, and the median was 1.47% [1] 3.10 LME Lead - The ten - year average price change was 0.92%, and the median was 1.02%. In the past five years, the average was 1.84%, and the median was 2.11% [1] 3.11 CBOT Soybeans - The ten - year average price change was 0.21%, and the median was 0.20%. In the past five years, the average was - 0.61%, and the median was - 0.82% [1] 3.12 CBOT Corn - The ten - year average price change was 0.78%, and the median was 0.73%. In the past five years, the average was 0.75%, and the median was 0.72% [1] 3.13 CBOT Soybean Oil - The ten - year average price change was 2.32%, and the median was 2.29%. In the past five years, the average was 2.74%, and the median was 2.96% [1] 3.14 CBOT Soybean Meal - The ten - year average price change was - 0.40%, and the median was - 0.24%. In the past five years, the average was - 1.73%, and the median was - 2.92% [1] 3.15 CBOT Wheat - The ten - year average price change was 0.09%, and the median was - 0.24%. In the past five years, the average was 0.34%, and the median was 1.71% [1] 3.16 CBOT Rice - The ten - year average price change was 1.03%, and the median was 0.34%. In the past five years, the average was 0.02%, and the median was - 0.53% [1] 3.17 ICE 11 - Sugar - The ten - year average price change was 3.04%, and the median was 1.12%. In the past five years, the average was 1.58%, and the median was - 0.31% [1] 3.18 ICE 2 - Cotton - The ten - year average price change was 0.78%, and the median was 0.14%. In the past five years, the average was 0.96%, and the median was 0.05% [1] 3.19 S&P 500 - The ten - year average price change was 0.74%, and the median was 0.70%. In the past five years, the average was 1.04%, and the median was 1.51% [1] 3.20 US Dollar Index - The ten - year average price change was 0.32%, and the median was 0.23%. In the past five years, the average was 0.38%, and the median was - 0.03% [1] 3.21 CRB Commodity Index - The ten - year average price change was 1.46%, and the median was 1.91%. In the past five years, the average was 2.03%, and the median was 2.37% [1][3] 3.22 BDI - The ten - year average price change was 3.82%, and the median was 4.44%. In the past five years, the average was 7.82%, and the median was 11.61% [1][3]

Report Summary 1) Report Industry Investment Rating - No investment rating information is provided in the given content. 2) Core View of the Report - The report presents the price change statistics of various commodities and indices during the National Day holidays in the past ten and five years, including NYMEX crude oil, NYMEX natural gas, COMEX gold, etc., to show their historical performance during the holidays [1][2][4]. 3) Summary by Related Catalog a. Ten - year Average and Median Statistics - The ten - year average price changes during the National Day holidays are as follows: NYMEX crude oil 3.18%, NYMEX natural gas 0.97%, COMEX gold 0.08%, etc. The ten - year median price changes are: NYMEX crude oil 3.33%, NYMEX natural gas - 1.57%, COMEX gold 0.30%, etc [1][4]. b. Five - year Average and Median Statistics - The five - year average price changes during the National Day holidays are: NYMEX crude oil 5.75%, NYMEX natural gas 0.73%, COMEX gold 0.14%, etc. The five - year median price changes are: NYMEX crude oil 4.97%, NYMEX natural gas - 3.19%, COMEX gold 0.21%, etc [2][4]. c. Annual Price Changes from 2015 - 2024 - The report details the price changes of each commodity and index during the National Day holidays from 2015 to 2024. For example, NYMEX crude oil had a 6.15% change in 2015, 3.12% in 2016, and - 4.63% in 2017 [4].

读《哈利布朗的永久投资组合》一书，发现了很多需要补充的细节。 回顾一下永久组合的内容： 25%股票：受益于经济繁荣（增长）。 25%长期国债：受益于经济衰退和利率下降（通缩）。 25%黄金：受益于货币信用危机和通货膨胀（避险）。 25%现金：提供流动性，并在通缩中增强购买力（稳定）。 目前股票，30年国债，黄金，怎么都感觉在高位 这个组合还能玩下去吗？ 数据A 这种投资组合，收益可能就只有5%左右，不好的年份还会亏损。 其它三种都是稳定资产。最大的收益来源是股票，遇到牛市股票就算涨100%，因为四分之一 的仓位，带来的整体收益也只有25%。 你能忍受黄金10年不涨吗？ 你能忍受30年国债持有10年后反而亏损吗？ 你能忍受现金不断超发，货币购买力不断下降吗？ hare001 我配置过，30 年国债涨幅基本都吃到了，目前保留的是现金、标普 500 和黄金，总体感觉 还行吧，也是弱者思维，不择时，回撤也不会有特别大的回撤，被动按照持仓比例进行调 仓，我觉得最好不要把现金池子完全归入这个组合，不然工资和其他收入其实是一直在加仓 其他三类资产的。 imaocxh 30%大A+20%港股+20%美股+20%商品+10%现 ...

Group 1 - The core viewpoint of the article highlights the exuberance in the financial markets driven by the Federal Reserve's interest rate cuts and the hype surrounding AI technologies [3][10] - Major indices such as the S&P 500, Nasdaq, and Russell 2000 have reached record highs, indicating a collective investor enthusiasm reminiscent of a speculative bubble [5][6] - The article compares the current market behavior to a "dance party," where investors are following trends without caution, leading to irrational borrowing costs for high-rated companies [6][7] Group 2 - Despite the market's euphoria, some institutions like Nordea and Wellington are adopting defensive strategies, indicating a recognition of underlying risks such as geopolitical tensions and inflation [12][15] - The article notes a significant increase in short positions in the Russell 2000, suggesting that some investors are preparing for potential downturns by investing in safe-haven assets like gold and cash [13][15] - The overall market atmosphere is described as a high-stakes gamble, with optimistic and cautious investors holding opposing views on the sustainability of the current bull market [16]