Financial Data Analytics

Financial Data Analytics
Author: Sinem Derindere Köseoğlu
Publisher: Springer Nature
Total Pages: 393
Release: 2022-04-25
Genre: Business & Economics
ISBN: 3030837998

​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.

Financial Analytics with R

Financial Analytics with R
Author: Mark J. Bennett
Publisher: Cambridge University Press
Total Pages: 397
Release: 2016-10-06
Genre: Business & Economics
ISBN: 1107150752

Financial Analytics with R sharpens readers' skills in time-series, forecasting, portfolio selection, covariance clustering, prediction, and derivative securities.

The Handbook of News Analytics in Finance

The Handbook of News Analytics in Finance
Author: Gautam Mitra
Publisher: John Wiley & Sons
Total Pages: 384
Release: 2011-07-13
Genre: Business & Economics
ISBN: 1119990807

The Handbook of News Analytics in Finance is a landmarkpublication bringing together the latest models and applications ofNews Analytics for asset pricing, portfolio construction, tradingand risk control. The content of the Hand Book is organised to provide arapid yet comprehensive understanding of this topic. Chapter 1 setsout an overview of News Analytics (NA) with an explanation of thetechnology and applications. The rest of the chapters are presentedin four parts. Part 1 contains an explanation of methods and modelswhich are used to measure and quantify news sentiment. In Part 2the relationship between news events and discovery of abnormalreturns (the elusive alpha) is discussed in detail by the leadingresearchers and industry experts. The material in this part alsocovers potential application of NA to trading and fund management.Part 3 covers the use of quantified news for the purpose ofmonitoring, early diagnostics and risk control. Part 4 is entirelyindustry focused; it contains insights of experts from leadingtechnology (content) vendors. It also contains a discussion oftechnologies and finally a compact directory of content vendor andfinancial analytics companies in the marketplace of NA. Thebook draws equally upon the expertise of academics andpractitioners who have developed these models and is supported bytwo major content vendors - RavenPack and Thomson Reuters - leadingproviders of news analytics software and machine readablenews. The book will appeal to decision makers in the banking, finance andinsurance services industry. In particular: asset managers;quantitative fund managers; hedge fund managers; algorithmictraders; proprietary (program) trading desks; sell-side firms;brokerage houses; risk managers and research departments willbenefit from the unique insights into this new and pertinent areaof financial modelling.

Finance Analytics in Business

Finance Analytics in Business
Author: Sanjay Taneja
Publisher: Emerald Group Publishing
Total Pages: 361
Release: 2024-06-17
Genre: Business & Economics
ISBN: 1837535728

Finance Analytics in Business brings together specialists around the world working in various disciplines to reflect on finance analytics in business. This crucial field gives different views of a company’s financial data, and helps it gain knowledge to take action to improve financial performance.

Financial Planning & Analysis and Performance Management

Financial Planning & Analysis and Performance Management
Author: Jack Alexander
Publisher: John Wiley & Sons
Total Pages: 647
Release: 2018-06-13
Genre: Business & Economics
ISBN: 1119491487

Critical insights for savvy financial analysts Financial Planning & Analysis and Performance Management is the essential desk reference for CFOs, FP&A professionals, investment banking professionals, and equity research analysts. With thought-provoking discussion and refreshing perspective, this book provides insightful reference for critical areas that directly impact an organization’s effectiveness. From budgeting and forecasting, analysis, and performance management, to financial communication, metrics, and benchmarking, these insights delve into the cornerstones of business and value drivers. Dashboards, graphs, and other visual aids illustrate complex concepts and provide reference at a glance, while the author’s experience as a CFO, educator, and general manager leads to comprehensive and practical analytical techniques for real world application. Financial analysts are under constant pressure to perform at higher and higher levels within the realm of this consistently challenging function. Though areas ripe for improvement abound, true resources are scarce—until now. This book provides real-world guidance for analysts ready to: Assess performance of FP&A function and develop improvement program Improve planning and forecasting with new and provocative thinking Step up your game with leading edge analytical tools and practical solutions Plan, analyze and improve critical business and value drivers Build analytical capability and effective presentation of financial information Effectively evaluate capital investments in uncertain times The most effective analysts are those who are constantly striving for improvement, always seeking new solutions, and forever in pursuit of enlightening resources with real, useful information. Packed with examples, practical solutions, models, and novel approaches, Financial Planning & Analysis and Performance Management is an invaluable addition to the analyst’s professional library. Access to a website with many of the tools introduced are included with the purchase of the book.

Global Business Analytics Models

Global Business Analytics Models
Author: Hokey Min
Publisher: FT Press
Total Pages: 239
Release: 2016-03-05
Genre: Business & Economics
ISBN: 0134057619

THE COMPLETE GUIDE TO USING ANALYTICS TO MANAGE RISK AND UNCERTAINTY IN COMPLEX GLOBAL BUSINESS ENVIRONMENTS Practical techniques for developing reliable, actionable intelligence–and using it to craft strategy Analytical opportunities to solve key managerial problems in global enterprises Written for working managers: packed with realistic, useful examples This guide helps global managers use modern analytics to gain reliable, actionable, and timely business intelligence–and use it to manage risk, build winning strategies, and solve urgent problems. Dr. Hokey Min offers a practical, easy-to-understand overview of business analytics in a global context, focusing especially on managerial and strategic implications. After demystifying today’s core quantitative tools, he demonstrates them at work in a wide spectrum of global applications. You’ll build models to help segment global markets, forecast demand, assess risk, plan financing, optimize supply chains, and more. Along the way, you’ll find practical guidance for developing analytic thinking, operationalizing Big Data in global environments, and preparing for future analytical innovations. Whether you’re a global executive, strategist, analyst, marketer, supply chain professional, student or researcher, this book will help you drive real value from analytics–in smarter decisions, improved strategy, and better management. In today’s global business environments characterized by growing complexity, volatility, and uncertainty, business analytics has become an indispensable tool for managing these challenges. Specifically, global managers need analytics expertise to solve problems, identify opportunities, shape strategy, mitigate risk, and improve their day-to-day operational efficiency. Now, for the first time, there’s an analytics guide designed specifically for decision-makers in global organizations. Leveraging his experience teaching a number of students and training hundreds of managers and executives, Dr. Hokey Min demystifies the principles and tools of modern business analytics, and demonstrates their real-world use in global business. First, Dr. Min identifies key success factors and mindsets, helping you establish the preconditions for effective analysis. Next, he walks you through the practicalities of collecting, organizing, and analyzing Big Data, and developing models to transform them into actionable insight. Building on these foundations, he illustrates core analytical applications in finance, healthcare, and global supply chains. He concludes by previewing emerging trends in analytics, including the newest tools for automated decision-making. Compare today’s key quantitative tools Stats, data mining, OR, and simulation: how they work, when to use them Get the right data... ...and get the data right Predict the future... ...and sense its arrival sooner than others can

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

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.

Key Business Analytics

Key Business Analytics
Author: Bernard Marr
Publisher: Pearson UK
Total Pages: 312
Release: 2016-02-10
Genre: Business & Economics
ISBN: 1292017465

Key Business Analytics will help managers apply tools to turn data into insights that help them better understand their customers, optimize their internal processes and identify cost savings and growth opportunities. It includes analysis techniques within the following categories: Financial analytics – cashflow, profitability, sales forecasts Market analytics – market size, market trends, marketing channels Customer analytics – customer lifetime values, social media, customer needs Employee analytics – capacity, performance, leadership Operational analytics – supply chains, competencies, environmental impact Bare business analytics – sentiments, text, correlations Each tool will follow the bestselling Key format of being 5-6 pages long, broken into short sharp advice on the essentials: What is it? When should I use it? How do I use it? Tips and pitfalls Further reading This essential toolkit also provides an invaluable section on how to gather original data yourself through surveys, interviews, focus groups, etc.

Analytics for Insurance

Analytics for Insurance
Author: Tony Boobier
Publisher: John Wiley & Sons
Total Pages: 296
Release: 2016-10-10
Genre: Business & Economics
ISBN: 1119141079

The business guide to Big Data in insurance, with practical application insight Big Data and Analytics for Insurers is the industry-specific guide to creating operational effectiveness, managing risk, improving financials, and retaining customers. Written from a non-IT perspective, this book focusses less on the architecture and technical details, instead providing practical guidance on translating analytics into target delivery. The discussion examines implementation, interpretation, and application to show you what Big Data can do for your business, with insights and examples targeted specifically to the insurance industry. From fraud analytics in claims management, to customer analytics, to risk analytics in Solvency 2, comprehensive coverage presented in accessible language makes this guide an invaluable resource for any insurance professional. The insurance industry is heavily dependent on data, and the advent of Big Data and analytics represents a major advance with tremendous potential – yet clear, practical advice on the business side of analytics is lacking. This book fills the void with concrete information on using Big Data in the context of day-to-day insurance operations and strategy. Understand what Big Data is and what it can do Delve into Big Data's specific impact on the insurance industry Learn how advanced analytics can revolutionise the industry Bring Big Data out of IT and into strategy, management, marketing, and more Big Data and analytics is changing business – but how? The majority of Big Data guides discuss data collection, database administration, advanced analytics, and the power of Big Data – but what do you actually do with it? Big Data and Analytics for Insurers answers your questions in real, everyday business terms, tailored specifically to the insurance industry's unique needs, challenges, and targets.

Quantitative Financial Analytics: The Path To Investment Profits

Quantitative Financial Analytics: The Path To Investment Profits
Author: Edward E Williams
Publisher: World Scientific Publishing Company
Total Pages: 621
Release: 2017-07-20
Genre: Business & Economics
ISBN: 9813224274

This book provides a comprehensive treatment of the important aspects of investment theory, security analysis, and portfolio selection, with a quantitative emphasis not to be found in most other investment texts.The statistical analysis framework of markets and institutions in the book meets the need for advanced undergraduates and graduate students in quantitative disciplines, who wish to apply their craft to the world of investments. In addition, entrepreneurs will find the volume to be especially useful. It also contains a clearly detailed explanation of many recent developments in portfolio and capital market theory as well as a thorough procedural discussion of security analysis. Professionals preparing for the CPA, CFA, and or CFP examinations will also benefit from a close scrutiny of the many problems following each chapter.The level of difficulty progresses through the textbook with more advanced treatment appearing in the latter sections of each chapter, and the last chapters of the volume.