4666 results in Mathematical finance
Frontmatter
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp i-iv
-
- Chapter
- Export citation
33 - Black-Box Model Risk in Finance
- from Part VII - Biases and Model Risks of Data-Driven Learning
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 687-717
-
- Chapter
- Export citation
Connections With The Real Economy
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 479-480
-
- Chapter
- Export citation
Contributors
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp xvi-xvii
-
- Chapter
- Export citation
32 - Bayesian Deep Fundamental Factor Models
- from Part VII - Biases and Model Risks of Data-Driven Learning
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 661-686
-
- Chapter
- Export citation
28 - NLP in Finance
- from Part VI - Nowcasting with Alternative Data
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 563-592
-
- Chapter
- Export citation
17 - Portfolio Construction Using Stratified Models
- from Part IV - Advanced Optimization Techniques
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 317-340
-
- Chapter
- Export citation
26 - Alternative data and ML for macro nowcasting
- from Part VI - Nowcasting with Alternative Data
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 507-544
-
- Chapter
- Export citation
Part VI - Nowcasting with Alternative Data
- from Connections With The Real Economy
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 481-482
-
- Chapter
- Export citation
7 - Order Flow and Price Formation
- from Part II - How Learned Flows Form Prices
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 107-129
-
- Chapter
- Export citation
Part VII - Biases and Model Risks of Data-Driven Learning
- from Connections With The Real Economy
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 629-630
-
- Chapter
- Export citation
10 - Introduction to Part III
- from Part III - High Frequency Finance
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 177-181
-
- Chapter
- Export citation
2 - New Frontiers of Robo-Advising: Consumption, Saving, Debt Management, and Taxes
- from Part I - Robo Advisors and Automated Recommendation
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 9-32
-
- Chapter
- Export citation
25 - Data Preselection in Machine Learning Methods: An Application to Macroeconomic Nowcasting with Google Search Data
- from Part VI - Nowcasting with Alternative Data
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 490-506
-
- Chapter
- Export citation
1 - Introduction to Part I. Robo-advising as a Technological Platform for Optimization and Recommendations
- from Part I - Robo Advisors and Automated Recommendation
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 5-8
-
- Chapter
- Export citation
Part II - How Learned Flows Form Prices
- from Interacting With Investors And Asset Owners
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 99-100
-
- Chapter
- Export citation
19 - The Curse of Optimality, and How to Break it?
- from Part V - New Frontiers for Stochastic Control in Finance
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 354-368
-
- Chapter
- Export citation
27 - Nowcasting Corporate Financials and Consumer Baskets with Alternative Data
- from Part VI - Nowcasting with Alternative Data
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 545-562
-
- Chapter
- Export citation
9 - Deciphering How Investors’ Daily Flows are Forming Prices
- from Part II - How Learned Flows Form Prices
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 153-172
-
- Chapter
- Export citation
22 - NeuralNetworks-Based Algorithms for Stochastic Control and PDEs in Finance
- from Part V - New Frontiers for Stochastic Control in Finance
-
- Book:
- Machine Learning and Data Sciences for Financial Markets
- Published online:
- 12 May 2023
- Print publication:
- 01 June 2023, pp 426-452
-
- Chapter
- Export citation