Normal view MARC view ISBD view

Financial analytics (Record no. 8086)

MARC details
000 -LEADER
fixed length control field	04380nam a22002297a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20250102170437.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	250102b \|\|\|\|\|\|\|\| \|\|\|\| 00\| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number	9789354644177
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number	332.0028
Item number	MOH
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name	Mohanty, Pitabas
245 ## - TITLE STATEMENT
Title	Financial analytics
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc.	Wiley India Pvt. Ltd.
Place of publication, distribution, etc.	New Delhi
Date of publication, distribution, etc.	2023
300 ## - PHYSICAL DESCRIPTION
Extent	xx, 664 p.
365 ## - TRADE PRICE
Price type code	INR
Price amount	1019.00
490 ## - SERIES STATEMENT
Series statement	Wiley Analytics Series for Management
500 ## - GENERAL NOTE
General note	Table of content:<br/>1. Introduction to Finance Analytics<br/><br/>1.1 Analytics in Finance<br/><br/>1.2 Data-Driven Finance<br/><br/>1.3 Organization of the Book<br/><br/>1.4 Use of R and Python<br/><br/>1.5 What this Book is Not About<br/><br/>1.6 Data and Codes Used in this Book<br/><br/>1.7 Skills and Resources Needed to Excel in Finance Analytics<br/><br/>2. Data in Finance<br/><br/>2.1 Introduction<br/><br/>2.2 Fundamental Data<br/><br/>2.3 Obtaining Fundamental Data<br/><br/>2.4 Marker Data<br/><br/>2.5 Analysts’ Data<br/><br/>2.6 Alternate Data<br/><br/>2.7 Downloading Data Using an API<br/><br/>3. Wrangling Financial Data<br/><br/>3.1 Reading Financial Data<br/><br/>3.2 Check Data Types (Variable Types)<br/><br/>3.3 Clean Variable Names<br/><br/>3.4 Managing Missing Data<br/><br/>3.5 Managing Invalid Data<br/><br/>3.6 Managing Outliers<br/><br/>3.7 Long and Wide Form Data<br/><br/>4. Exploratory Analysis of Financial Data<br/><br/>4.1 Introduction<br/><br/>4.2 Univariate Analysis of Fundamental Data<br/><br/>4.3 Bi-variate and Multi-variate Analysis of Fundamental Data<br/><br/>4.4 Analysis of Time Series Data<br/><br/>5. Understanding Basic Finance using R and Python<br/><br/>5.1 Introduction<br/><br/>5.2 Time Value of Money<br/><br/>5.3 Risk and Return<br/><br/>5.4 Asset Valuation<br/><br/>6. Accounting Data Analytics<br/><br/>6.1 Introduction<br/><br/>6.2 Case 1: Detecting Patterns in Financial Statements<br/><br/>6.3 Case 2: Predicting Corporate Bankruptcy<br/><br/>7. Applications of Natural Language Processing in Finance<br/><br/>7.1 Sourcing Text Data<br/><br/>7.2 Text Preprocessing<br/><br/>7.3 Case 1: Summarizing a Document<br/><br/>7.4 Case 2: Sentiment Analysis<br/><br/>7.5 Case 3: Sentiment Analysis Using Machine Learning<br/><br/>8. Financial Fraud Analytics<br/><br/>8.1 Benford’s Law<br/><br/>8.2 Predicting Credit Card Frauds<br/><br/>9. Valuation Analytics<br/><br/>9.1 Introduction<br/><br/>9.2 Theory of Valuation<br/><br/>9.3 Building a Valuation Model<br/><br/>9.4 Creating a Valuation Function<br/><br/>9.5 Estimating Implied Returns<br/><br/>9.6 Extension of the Model<br/><br/>9.7 Building the Valuation Function in Python<br/><br/>9.8 Valuation of Walmart Inc.<br/><br/>10. Portfolio Analytics<br/><br/>10.1 Introduction<br/><br/>10.2 Return and Risk of a Portfolio<br/><br/>10.3 Markowitz Optimization Process<br/><br/>10.4 Portfolio Optimization using Python<br/><br/>10.5 Portfolio Performance Evaluation<br/><br/>10.6 Portfolio Insurance<br/><br/>11. Developing and Backtesting Technical Trading Rules<br/><br/>11.1 Trend Indicators<br/><br/>11.2 Momentum Indicators<br/><br/>11.3 Volatility Indicators<br/><br/>11.4 Volume Indicators<br/><br/>11.5 Backtesting<br/><br/>11.6 Technical Analysis in Python<br/><br/>11.7 Comparing 5-day EMA with 21-day EMA in Python<br/><br/>11.8 Quantstrat to Automate Backtesting<br/><br/>12. Predicting Stock Prices/Returns<br/><br/>12.1 Predicting Stock Returns Based on Accounting Ratios<br/><br/>12.2 Predicting Stock Returns (Prices) using Past Stock Returns (Prices) Data<br/><br/>12.3 Predicting Stock Prices using Technical Indicators<br/><br/>12.4 Predicting Stock Returns using Valuation Multipliers and Value Drivers<br/><br/>12.5 Predicting Returns Based on Factor Exposures/Stock Characteristics<br/><br/>Appendix 1: Installing R and Python<br/><br/>Appendix 2: Introduction to R<br/><br/>Appendix 3: Introduction to Python<br/><br/>Appendix 4: A Concise Introduction to Machine Learning<br/><br/>Index<br/>[https://www.wileyindia.com/financial-analytics.html]
520 ## - SUMMARY, ETC.
Summary, etc.	Financial Analytics applies modern data science tools to explore and understand interesting financial data patterns. Though the use of quantitative tools is nothing new in finance, modern financial analytics is different due to three recent trends: i) improved computing power with the availability of GPUs and TPUs, ii) advanced ML and AI algorithms, and iii) access to large volumes of practically all types of data. The new-age Financial Analytics takes a data-driven approach to study finance. Instead of making assumptions about the distribution of data or the relationship between variables, it simply lets the data speak for itself.<br/>(https://www.wileyindia.com/financial-analytics.html)
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Finance-Databases
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Finance-Mathematical models
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element	Data processing
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type	Book
Source of classification or shelving scheme	Dewey Decimal Classification

Holdings
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	Full call number	Accession Number	Date last seen	Copy number	Cost, replacement price	Price effective from	Koha item type
		Dewey Decimal Classification			Finance & Accounting	TB3054	19-12-2024	Indian Institute of Management LRC	Indian Institute of Management LRC	General Stacks	01/04/2025	Technical Bureau India Pvt. Ltd.	708.20		332.0028 MOH	006982	01/04/2025	1	1019.00	01/04/2025	Book