標(biāo)題: Titlebook: Alternative Data and Artificial Intelligence Techniques; Applications in Inve Qingquan Tony Zhang,Beibei Li,Danxia Xie Book 2022 The Editor [打印本頁] 作者: Manipulate 時(shí)間: 2025-3-21 17:08
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書目名稱Alternative Data and Artificial Intelligence Techniques讀者反饋學(xué)科排名
作者: ONYM 時(shí)間: 2025-3-21 22:33 作者: ornithology 時(shí)間: 2025-3-22 01:00 作者: Strength 時(shí)間: 2025-3-22 06:18 作者: 和音 時(shí)間: 2025-3-22 10:10
Smart Beta and Risk Factors Based on IoTsI with data for training algorithms. The combination of IoT and AI generates and collects massive data, and stores it in device terminals, edge terminals, or on the cloud. Then, the data can be intelligently analyzed through machine learning, so as to realize the digitalization and intelligent conne作者: Stress 時(shí)間: 2025-3-22 15:56 作者: A精確的 時(shí)間: 2025-3-22 18:41 作者: 發(fā)出眩目光芒 時(shí)間: 2025-3-23 00:00
Fraud and Deception Detection: Text-Based Data Analyticsbility of data. This chapter discusses how to imitate and detect similar applications and how to identify fake reviews by machine learning and various statistical methods using deceptive applications and fake reviews as examples.作者: insolence 時(shí)間: 2025-3-23 04:40
Machine Learning Technique in Trading: A Case Study in the EURUSD Markethree supervised learning classification techniques (K-Nearest Neighbors, Support Vector Machines, and Random Forests) in the problem of one day ahead directional prediction of the EURUSD exchange rate with autoregressive terms as inputs. The performance of said machine learning models was benchmarke作者: 人類學(xué)家 時(shí)間: 2025-3-23 06:22 作者: 跳動(dòng) 時(shí)間: 2025-3-23 10:04 作者: Urologist 時(shí)間: 2025-3-23 16:18
2523-8221 powerfulness of alternative data to study anomalies.Covers t.This book introduces a state-of-art approach in evaluating portfolio management and risk based on artificial intelligence and alternative data. The book covers a textual analysis of news and social media, information extraction from GPS an作者: 阻礙 時(shí)間: 2025-3-23 19:19 作者: Ordeal 時(shí)間: 2025-3-23 22:43 作者: 缺乏 時(shí)間: 2025-3-24 06:07 作者: languor 時(shí)間: 2025-3-24 08:08 作者: transient-pain 時(shí)間: 2025-3-24 12:31 作者: 卵石 時(shí)間: 2025-3-24 17:25
Smart Beta and Risk Factors Based on IoTsals, or on the cloud. Then, the data can be intelligently analyzed through machine learning, so as to realize the digitalization and intelligent connection of all things. Therefore, in this chapter, we will detail a series of risk measurement models based on IoT and their.作者: critic 時(shí)間: 2025-3-24 20:47 作者: 最初 時(shí)間: 2025-3-24 23:44 作者: 一大群 時(shí)間: 2025-3-25 04:21 作者: Hyperlipidemia 時(shí)間: 2025-3-25 10:32 作者: 巫婆 時(shí)間: 2025-3-25 12:36
ESG Impacts on Corporation’s Fundamental: Studies from the Healthcare Industryated companies’ stocks, and short the bottom ten rated companies’ stocks within the portfolio. The outcome shows that for 75% of the time period (excluding the period 2017–2018), the portfolio outperformed the control group in which we bought stocks randomly.作者: HATCH 時(shí)間: 2025-3-25 15:50
Book 2022ook covers a textual analysis of news and social media, information extraction from GPS and IoTs data, and risk predictions based on small transaction data, etc. The book summarizes and introduces the advancement in each area and highlights the machine learning and deep learning techniques utilized 作者: 知識(shí)分子 時(shí)間: 2025-3-25 22:22
Introduction of Alternative Data in Financeroviders, and applications. After reading this chapter, we hope readers can have a detailed understanding of the application process of alternative data in finance, including the sources of alternative data generation, evaluation criteria, etc. We also provide specific application cases and Python codes for the readers’ reference.作者: 是限制 時(shí)間: 2025-3-26 00:48 作者: 評(píng)論者 時(shí)間: 2025-3-26 04:26 作者: foodstuff 時(shí)間: 2025-3-26 10:20
Book 2022to achieve the goals. As a complement, it also illustrates examples on how to leverage the python package to visualize and analyze the alternative datasets, and will be of interest to academics, researchers, and students of risk evaluation, risk management, data, AI, and financial innovation..作者: anagen 時(shí)間: 2025-3-26 13:00
Alternative Data and Artificial Intelligence TechniquesApplications in Inve作者: FLAIL 時(shí)間: 2025-3-26 20:13 作者: 畢業(yè)典禮 時(shí)間: 2025-3-26 23:06 作者: CRANK 時(shí)間: 2025-3-27 04:54
https://doi.org/10.1007/978-3-642-86198-7lio management over the past decade, (ii)the classic asset classes and derivatives in portfolio management, and (iii) traditional and modern approaches for portfolio management. We also introduce common tools for measuring portfolio returns and return variance.作者: lactic 時(shí)間: 2025-3-27 05:57 作者: 地名表 時(shí)間: 2025-3-27 10:04
,Abnormit?ten der Pupillen und Arreflexie,bility of data. This chapter discusses how to imitate and detect similar applications and how to identify fake reviews by machine learning and various statistical methods using deceptive applications and fake reviews as examples.作者: fluoroscopy 時(shí)間: 2025-3-27 17:41
https://doi.org/10.1007/978-3-7091-6399-3se, and gives a related case for a complete visualization process; this chapter elaborates on the applications of (i) data visualization, (ii) introduction to Python visualization tools, (iii) data distribution chart, and (iv) financial data case analysis.作者: patriot 時(shí)間: 2025-3-27 18:15 作者: 法官 時(shí)間: 2025-3-28 01:55 作者: 免除責(zé)任 時(shí)間: 2025-3-28 05:46 作者: ELUC 時(shí)間: 2025-3-28 10:00 作者: 容易生皺紋 時(shí)間: 2025-3-28 13:07 作者: GUILT 時(shí)間: 2025-3-28 16:03 作者: 抱狗不敢前 時(shí)間: 2025-3-28 18:49 作者: 使成波狀 時(shí)間: 2025-3-29 00:48
https://doi.org/10.1007/978-3-658-24871-0 paying more attention to this perspective, considering sustainably values in their investment decisions and strategies, thus creating responsible investment. Responsible investment, also known as ethical investment, not only advocates financial performance but incorporates company environmental, so作者: confide 時(shí)間: 2025-3-29 06:32 作者: Budget 時(shí)間: 2025-3-29 10:57
,Abnormit?ten der Pupillen und Arreflexie,bility of data. This chapter discusses how to imitate and detect similar applications and how to identify fake reviews by machine learning and various statistical methods using deceptive applications and fake reviews as examples.作者: 山崩 時(shí)間: 2025-3-29 12:36
https://doi.org/10.1007/978-3-658-36529-5hree supervised learning classification techniques (K-Nearest Neighbors, Support Vector Machines, and Random Forests) in the problem of one day ahead directional prediction of the EURUSD exchange rate with autoregressive terms as inputs. The performance of said machine learning models was benchmarke作者: Coterminous 時(shí)間: 2025-3-29 19:12 作者: Jocose 時(shí)間: 2025-3-29 22:10
https://doi.org/10.1007/978-3-7091-6399-3se, and gives a related case for a complete visualization process; this chapter elaborates on the applications of (i) data visualization, (ii) introduction to Python visualization tools, (iii) data distribution chart, and (iv) financial data case analysis.作者: 安慰 時(shí)間: 2025-3-30 01:04
Qingquan Tony Zhang,Beibei Li,Danxia XieIntroduces alternative data utilized in state-of-art portfolio management and risk evaluation.Includes multiple use cases to illustrate the powerfulness of alternative data to study anomalies.Covers t作者: 證明無罪 時(shí)間: 2025-3-30 07:54 作者: 分期付款 時(shí)間: 2025-3-30 10:21
Erfassung und Verwaltung der PatientendatenThis chapter explores the trends in financial asset management. We summarize the global asset management industry, and discuss current trends across multiple regions, including North America, Europe, and China to illustrate the differences. We also discuss ESG, blockchain, and robo-advisor, which push the market forward as newer technology.作者: 傾聽 時(shí)間: 2025-3-30 14:42
https://doi.org/10.1007/978-3-642-86198-7This chapter describes how major companies in different countries are utilizing big data analytics in alternative data domains. There are four regional divisions: the United States, China, Europe, and Asian countries except China. Companies that play a prominent role in alternative data utilization are presented.作者: venous-leak 時(shí)間: 2025-3-30 18:52 作者: CORE 時(shí)間: 2025-3-31 00:46
