CompSciRN: Other Robotics (Topic)最新文献

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Prediction of Energy Consumption in Electricity or Electronic Appliances using Sentimental Analysis and Thermal Chromic Coating for Saving Electricity Energy 基于情感分析和热致变色涂层的电器能耗预测与节能
CompSciRN: Other Robotics (Topic) Pub Date : 2019-08-27 DOI: 10.2139/ssrn.3443354
Deepalakshmi S
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引用次数: 0
Robust Asset Allocation for Robo-Advisors 机器人顾问稳健的资产配置
CompSciRN: Other Robotics (Topic) Pub Date : 2018-09-01 DOI: 10.2139/ssrn.3261635
T. Bourgeron, Edmond Lezmi, T. Roncalli
{"title":"Robust Asset Allocation for Robo-Advisors","authors":"T. Bourgeron, Edmond Lezmi, T. Roncalli","doi":"10.2139/ssrn.3261635","DOIUrl":"https://doi.org/10.2139/ssrn.3261635","url":null,"abstract":"In the last few years, the financial advisory industry has been impacted by the emergence of digitalization and robo-advisors. This phenomenon affects major financial services, including wealth management, employee savings plans, asset managers, etc. Since the robo-advisory model is in its early stages, we estimate that robo-advisors will help to manage around $1 trillion of assets in 2020 (OECD, 2017). And this trend is not going to stop with future generations, who will live in a technology-driven and social media-based world. In the investment industry, robo-advisors face different challenges: client profiling, customization, asset pooling, liability constraints, etc. In its primary sense, robo-advisory is a term for defining automated portfolio management. This includes automated trading and rebalancing, but also automated portfolio allocation. And this last issue is certainly the most important challenge for robo-advisory over the next five years. Today, in many robo-advisors, asset allocation is rather human-based and very far from being computer-based. The reason is that portfolio optimization is a very difficult task, and can lead to optimized mathematical solutions that are not optimal from a financial point of view (Michaud, 1989). The big challenge for robo-advisors is therefore to be able to optimize and rebalance hundreds of optimal portfolios without human intervention. In this paper, we show that the mean-variance optimization approach is mainly driven by arbitrage factors that are related to the concept of hedging portfolios. This is why regularization and sparsity are necessary to define robust asset allocation. However, this mathematical framework is more complex and requires understanding how norm penalties impacts portfolio optimization. From a numerical point of view, it also requires the implementation of non-traditional algorithms based on ADMM methods.","PeriodicalId":253848,"journal":{"name":"CompSciRN: Other Robotics (Topic)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134269985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 15
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