Financial Data Analytics: Theory and Application (Contributions to Finance and Accounting) - Image 1

£96.00

Springer Financial Data Analytics: Theory and Application (Contributions to Finance and Accounting)

Name: Financial Data Analytics: Theory and Application (Contributions to Finance and Accounting)
Brand: Springer
Price: 97.0 GBP
Availability: InStock

Econometrics

Price History & Forecast

Last 79 days • 79 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 79 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £128 (50 days, 63.3%)

Price range: £96 - £128

Price levels: 3 different prices over 79 days

Description

This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in real financial world situations. It offers solutions on how to logically analyze the enormous amount of structured and unstructured data generated every moment in the finance sector. This data can be used by companies, organizations, and investors to create strategies, as the finance sector rapidly moves towards data-driven optimization. This book provides an efficient resource, addressing all applications of data analytics in the finance sector. International experts from around the globe cover the most important subjects in finance, including data processing, knowledge management, machine learning models, data modeling, visualization, optimization for financial problems, financial econometrics, financial time series analysis, project management, and decision making. The authors provide empirical evidence as examples of specific topics. By combining both applications and theory, the book offers a holistic approach. Therefore, it is a must-read for researchers and scholars of financial economics and finance, as well as practitioners interested in a better understanding of financial data analytics.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 303083798X
Category: Books > Subjects > Business, Finance & Law > Economics > Econometrics
Domain: Amazon UK
Release Date: 26 April 2022
Listed Since: 06 July 2021

Barcode

No barcode data available

Springer Financial Data Analytics: Theory and Application (Contributions to Finance and Accounting)

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Financial Data Science

Data Analytics for Finance Using Python (Advances in Digital Technologies for Smart Applications)

Hands-On Data Analysis in R for Finance

Handbook of Alternative Data in Finance, Volume I (CRC Press/OptiRisk Series in Finance)

Analysis of Financial Data

Data Science for Financial Econometrics: 898 (Studies in Computational Intelligence, 898)

A Primer in Financial Data Management

Data-Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and Applications (Advances in Computational Collective Intelligence)

Data Analysis for Corporate Finance: Building financial models using SQL, Python, and MS PowerBI

Data Science for Economics and Finance: Methodologies and Applications

Data Analytics for Business: Foundations and Industry Applications

Financial Analytics with R: Building a Laptop Laboratory for Data Science

Springer Business Analytics: Data Science for Business Problems

Advanced Machine Learning Algorithms for Complex Financial Applications (e-Book Collection - Copyright 2022)

Data-Centric Business and Applications: Modern Trends in Financial and Innovation Data Processes 2023. Volume 1: 195 (Lecture Notes on Data Engineering and Communications Technologies, 195)

Applied Advanced Analytics: 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence (Springer Proceedings in Business and Economics)

Modelling and Forecasting High Frequency Financial Data

Novel Financial Applications of Machine Learning and Deep Learning: Algorithms, Product Modeling, and Applications: 336 (International Series in Operations Research & Management Science, 336)

Proceedings of the First International Forum on Financial Mathematics and Financial Technology

Proceedings of the First International Forum on Financial Mathematics and Financial Technology

Machine Learning and Data Sciences for Financial Markets: A Guide to Contemporary Practices

Big Data Analytics: A Guide to Data Science Practitioners Making the Transition to Big Data (Chapman & Hall/CRC Data Science Series)

Big Data and Machine Learning in Quantitative Investment (Wiley Finance)

Data Analytics for Business: Foundations and Industry Applications