Implementing machine learning for finance (Record no. 233751)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 01875nam a22002057a 4500 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250211144602.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250211b ||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781484279090 |
| 040 ## - CATALOGING SOURCE | |
| Transcribing agency | AL |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Edition number | 23 |
| Classification number | 332.6 |
| Item number | NOKI |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Tshepo Chris Nokeri |
| 9 (RLIN) | 199128 |
| 245 ## - TITLE STATEMENT | |
| Title | Implementing machine learning for finance |
| Remainder of title | : a systematic approach to predictive risk and performance analysis for investment portfolios |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | New York |
| Name of publisher, distributor, etc. | Apress |
| Date of publication, distribution, etc. | 2025 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | xviii,182p |
| Other physical details | PB |
| Dimensions | 23x15cm. |
| 365 ## - TRADE PRICE | |
| Source of price type code | General |
| Price type code | 6391 |
| Price amount | ₹479.20 |
| Currency code | ₹ |
| Unit of pricing | ₹599.00 |
| Price note | 20% |
| Price effective from | 6/02/2025 |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Bring together machine learning (ML) and deep learning (DL) in financial trading, with an emphasis on investment management. This book explains systematic approaches to investment portfolio management, risk analysis, and performance analysis, including predictive analytics using data science procedures The book introduces pattern recognition and future price forecasting that exerts effects on time series analysis models, such as the Autoregressive Integrated Moving Average (ARIMA) model, Seasonal ARIMA (SARIMA) model, and Additive model, and it covers the Least Squares model and the Long Short-Term Memory (LSTM) model. It presents hidden pattern recognition and market regime prediction applying the Gaussian Hidden Markov Model. The book covers the practical application of the K-Means model in stock clustering. It establishes the practical application of the Variance-Covariance method and Simulation method (using Monte Carlo Simulation) for value at risk estimation. It also includes market direction classification using both the Logistic classifier and the Multilayer Perceptron classifier. Finally, the book presents performance and risk analysis for investment portfolios. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Source of heading or term | Economics |
| Topical term or geographic name entry element | Financial Economics |
| 9 (RLIN) | 199129 |
| 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 | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Barcode | Date last seen | Cost, replacement price | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | M Com | St Aloysius PG Library | St Aloysius PG Library | 02/08/2025 | Biblios Book Point | 479.20 | 332.6 NOKI | PG024840 | 02/11/2025 | 599.00 | 02/11/2025 | Book |
