{"title":"综合全球资产管理:量化国家ETF交易策略","authors":"Arturo Aguilar, Xiaochen Lin, Wen Jiang","doi":"10.2139/ssrn.3570128","DOIUrl":null,"url":null,"abstract":"This paper unveils the processes for building a country’s trading strategy that can outperform the MSCI Indexes and on the factor basis. By exploring the belief and experimenting with the structure in place, there seems to be enough room to build a quantitative investment strategy that generates high-quality predictive signals (alphas) considering each countries’ expected equity and currency performances. We created, developed and deployed a set of systematic strategies which produces impressive returns using country Exchange-Traded Funds (ETFs) with the objective to generate returns, risk profiles, automations, modernizations, and optimizations to outperform the iShares MSCI ACWI ETF (ACWI) and the iShares MSCI ACWI ex US ETF (ACWX) and similar benchmarks and evidences within the industry based on extensive data, mathematical, market, and statistical analysis that we used in: \n \n1) risk and scoring metrics such as technical, fundamental, economic, market sentiment and alternative descriptors and \n \n2) factor modeling paradigms and developments could reveal the weighted market exposure for the dynamic multi-step asset allocation by country in a world of multi-period electronic trading and information.","PeriodicalId":365755,"journal":{"name":"ERN: Other Econometrics: Mathematical Methods & Programming (Topic)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Integrated Global Asset Management: Quantitative Country ETF Trading Strategy\",\"authors\":\"Arturo Aguilar, Xiaochen Lin, Wen Jiang\",\"doi\":\"10.2139/ssrn.3570128\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper unveils the processes for building a country’s trading strategy that can outperform the MSCI Indexes and on the factor basis. By exploring the belief and experimenting with the structure in place, there seems to be enough room to build a quantitative investment strategy that generates high-quality predictive signals (alphas) considering each countries’ expected equity and currency performances. We created, developed and deployed a set of systematic strategies which produces impressive returns using country Exchange-Traded Funds (ETFs) with the objective to generate returns, risk profiles, automations, modernizations, and optimizations to outperform the iShares MSCI ACWI ETF (ACWI) and the iShares MSCI ACWI ex US ETF (ACWX) and similar benchmarks and evidences within the industry based on extensive data, mathematical, market, and statistical analysis that we used in: \\n \\n1) risk and scoring metrics such as technical, fundamental, economic, market sentiment and alternative descriptors and \\n \\n2) factor modeling paradigms and developments could reveal the weighted market exposure for the dynamic multi-step asset allocation by country in a world of multi-period electronic trading and information.\",\"PeriodicalId\":365755,\"journal\":{\"name\":\"ERN: Other Econometrics: Mathematical Methods & Programming (Topic)\",\"volume\":\"70 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ERN: Other Econometrics: Mathematical Methods & Programming (Topic)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.2139/ssrn.3570128\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ERN: Other Econometrics: Mathematical Methods & Programming (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.2139/ssrn.3570128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
摘要
本文揭示了在因子基础上构建一国优于MSCI指数的交易策略的过程。通过对信念的探索和对现有结构的试验,似乎有足够的空间来建立一种量化投资策略,该策略可以根据每个国家的预期股票和货币表现产生高质量的预测信号(阿尔法)。我们创建、开发和部署了一套系统策略,使用国家交易所交易基金(ETF)产生令人印象深刻的回报,目标是产生回报、风险概况、自动化、现代化和优化,以超越iShares MSCI ACWI ETF (ACWI)和iShares MSCI ACWI ex US ETF (ACWX)以及基于广泛数据、数学、市场和统计分析的行业内类似基准和证据,我们在以下方面使用:1)风险和评分指标,如技术、基本面、经济、市场情绪和替代描述符;2)因素建模范式和发展可以揭示在多时期电子交易和信息世界中,各国动态多步骤资产配置的加权市场风险。
Integrated Global Asset Management: Quantitative Country ETF Trading Strategy
This paper unveils the processes for building a country’s trading strategy that can outperform the MSCI Indexes and on the factor basis. By exploring the belief and experimenting with the structure in place, there seems to be enough room to build a quantitative investment strategy that generates high-quality predictive signals (alphas) considering each countries’ expected equity and currency performances. We created, developed and deployed a set of systematic strategies which produces impressive returns using country Exchange-Traded Funds (ETFs) with the objective to generate returns, risk profiles, automations, modernizations, and optimizations to outperform the iShares MSCI ACWI ETF (ACWI) and the iShares MSCI ACWI ex US ETF (ACWX) and similar benchmarks and evidences within the industry based on extensive data, mathematical, market, and statistical analysis that we used in:
1) risk and scoring metrics such as technical, fundamental, economic, market sentiment and alternative descriptors and
2) factor modeling paradigms and developments could reveal the weighted market exposure for the dynamic multi-step asset allocation by country in a world of multi-period electronic trading and information.