Machine learning in the analysis and forecasting of financial time series (Record no. 3031)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01380nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220818143929.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 220818b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781527583245 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 510 |
| Item number | SEN |
| 245 ## - TITLE STATEMENT | |
| Title | Machine learning in the analysis and forecasting of financial time series |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher, distributor, etc. | Cambridge Scholars |
| Place of publication, distribution, etc. | UK |
| Date of publication, distribution, etc. | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xxi, 362 p. |
| 365 ## - TRADE PRICE | |
| Price type code | GBP |
| Price amount | 75.99 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | This book is a collection of real-world cases, illustrating how to handle challenging and volatile financial time series data for a better understanding of their past behavior and robust forecasting of their future movement. It demonstrates how the concepts and techniques of statistical, econometric, machine learning, and deep learning are applied to build robust predictive models, and the ways in which these models can be used for constructing profitable portfolios of investments. All the concepts and methods used here have been implemented using R and Python languages on TensorFlow and Keras frameworks. The book will be particularly useful for advanced postgraduate and doctoral students of finance, economics, econometrics, statistics, data science, computer science, and information technology. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Financial Time Series |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine Learning |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Sen, Jaydip |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mehtab, Sidra |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Book |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Total Renewals | Full call number | Accession Number | Checked out | Date last seen | Date checked out | Copy number | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | IT & Decisions Sciences | IB/IN/384 | 05-08-2022 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 08/18/2022 | International Book Centre | 5021.32 | 5 | 3 | 510 SEN | 002998 | 10/12/2024 | 04/15/2024 | 04/15/2024 | 1 | 7636.99 | 08/18/2022 | Book |