Financial Statistics and Data Analytics

Financial Statistics and Data Analytics
Author: Shuangzhe Li
Publisher: MDPI
Total Pages: 232
Release: 2021-03-02
Genre: Business & Economics
ISBN: 3039439758

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Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning techniques can help. Accordingly, finance, statistics, and data analytics go hand in hand. The purpose of this book is to bring the state-of-art research in these three areas to the fore and especially research that juxtaposes these three.


Financial Statistics and Data Analytics
Language: en
Pages: 232
Authors: Shuangzhe Li
Categories: Business & Economics
Type: BOOK - Published: 2021-03-02 - Publisher: MDPI

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Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overloa
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Type: BOOK - Published: 2015-04-21 - Publisher: Springer

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The new edition of this influential textbook, geared towards graduate or advanced undergraduate students, teaches the statistics necessary for financial enginee
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Type: BOOK - Published: 2022-04-25 - Publisher: Springer Nature

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​This book presents both theory of financial data analytics, as well as comprehensive insights into the application of financial data analytics techniques in
Statistics and Data Analysis for Financial Engineering
Language: en
Pages: 638
Authors: David Ruppert
Categories: Business & Economics
Type: BOOK - Published: 2010-11-08 - Publisher: Springer Science & Business Media

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Financial engineers have access to enormous quantities of data but need powerful methods for extracting quantitative information, particularly about volatility
Financial Statistics and Data Analytics
Language: en
Pages: 232
Authors: Shuangzhe Liu
Categories:
Type: BOOK - Published: 2021 - Publisher:

GET EBOOK

Modern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overloa