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Title | Preface | Machine Learning for Factor |
Description | Machine Learning for Factor Investing Show table of contents Table of contents Preface Introduction 1 Notations and data 2 Introduction 3 Factor investing |
Keywords | N/A |
WebSite | mlfactor.com |
Host IP | 192.30.252.154 |
Location | United States |
Site | Rank |
US$1,922,658
Last updated: 2023-05-13 18:09:18
mlfactor.com has Semrush global rank of 5,505,038. mlfactor.com has an estimated worth of US$ 1,922,658, based on its estimated Ads revenue. mlfactor.com receives approximately 221,846 unique visitors each day. Its web server is located in United States, with IP address 192.30.252.154. According to SiteAdvisor, mlfactor.com is safe to visit. |
Purchase/Sale Value | US$1,922,658 |
Daily Ads Revenue | US$1,775 |
Monthly Ads Revenue | US$53,243 |
Yearly Ads Revenue | US$638,914 |
Daily Unique Visitors | 14,790 |
Note: All traffic and earnings values are estimates. |
Host | Type | TTL | Data |
mlfactor.com. | A | 3599 | IP: 192.30.252.154 |
mlfactor.com. | A | 3599 | IP: 192.30.252.153 |
mlfactor.com. | NS | 21600 | NS Record: ns-cloud-c1.googledomains.com. |
mlfactor.com. | NS | 21600 | NS Record: ns-cloud-c3.googledomains.com. |
mlfactor.com. | NS | 21600 | NS Record: ns-cloud-c2.googledomains.com. |
mlfactor.com. | NS | 21600 | NS Record: ns-cloud-c4.googledomains.com. |
Machine Learning for Factor Investing Show table of contents Table of contents Preface Introduction 1 Notations and data 2 Introduction 3 Factor investing and asset pricing anomalies 4 Data preprocessing Common supervised algorithms 5 Penalized regressions and sparse hedging for minimum variance portfolios 6 Tree-based methods 7 Neural networks 8 Support vector machines 9 Bayesian methods From predictions to portfolios 10 Validating and tuning 11 Ensemble models 12 Portfolio backtesting Further important topics 13 Interpretability 14 Two key concepts: causality and non-stationarity 15 Unsupervised learning 16 Reinforcement learning Appendix 17 Data description 18 Python notebooks 19 Solutions to exercises Preface < Last update: 2022-10-18 > This book is intended to cover some advanced modelling techniques applied to equity investment strategies that are built on firm characteristics . The content is threefold. First, we try to simply explain the ideas behind most mainstream |
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