Deep Finance

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Deep Finance

Author : Glenn Hopper
Publisher : Leaders Press
ISBN 13 : 9781637350270
Total Pages : 192 pages
Book Rating : 4.3/5 (52 download)

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Book Synopsis Deep Finance by : Glenn Hopper

Download or read book Deep Finance written by Glenn Hopper and published by Leaders Press. This book was released on 2021-11-16 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep Finance is informative, enlightening, and embraces the innovation all around us - perfect for trailblazing CFOs ready to dive deep into an era of information, analytics, and Big Data. ARE YOU READY FOR A DIGITAL TRANSFORMATION? LEAD THE AGE OF ANALYTICS WITH DEEP FINANCE. Glenn Hopper uses a unique blend of financial leadership and technical expertise to help businesses of all sizes optimize and modernize. Not a software engineer? Neither is Glenn Hopper, but his story shows how any finance leader can embrace the tech innovations shaping our world to revolutionize finance operations. Accounting has come a long way since the time of the abacus, computer punch cards, or even the paper ledger. Modern finance leaders have the ability and tools to build a team that harnesses the power of business intelligence to make their jobs easier. Leaders who aren’t aware of these opportunities are simply going to be outpaced by competitors willing to adapt to the 21st century and beyond. Deep Finance will take you from asking “What Is AI?” to walking a clear path toward your own digital transformation. Elevate your leadership and be a champion for data science in your department. In Deep Finance, you will: · Study the history of accounting—and why the age of analytics is the next logical step for all finance departments. · Step into the age of artificial intelligence and view the pathway to a digital transformation. · Expand your role as CFO by integrating business intelligence and analytics into your everyday tasks. · Weigh the pros and cons of buying or building software to manage transactions, analyze and collect data, and identify trends. · Become a “New Age CFO” who can make better financial decisions and identify where your company is moving. · Develop the language to elevate your entire management team as you enter the age of artificial intelligence. Don’t get left behind. Your competitors or team members recognize the possibilities that are available to finance departments everywhere. Take the first steps toward a digital transformation and evolution to a data-driven culture. Grab your copy of Deep Finance today!

Machine Learning and Data Science Blueprints for Finance

Author : Hariom Tatsat
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492073008
Total Pages : 432 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Machine Learning and Data Science Blueprints for Finance by : Hariom Tatsat

Download or read book Machine Learning and Data Science Blueprints for Finance written by Hariom Tatsat and published by "O'Reilly Media, Inc.". This book was released on 2020-10-01 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the next few decades, machine learning and data science will transform the finance industry. With this practical book, analysts, traders, researchers, and developers will learn how to build machine learning algorithms crucial to the industry. You’ll examine ML concepts and over 20 case studies in supervised, unsupervised, and reinforcement learning, along with natural language processing (NLP). Ideal for professionals working at hedge funds, investment and retail banks, and fintech firms, this book also delves deep into portfolio management, algorithmic trading, derivative pricing, fraud detection, asset price prediction, sentiment analysis, and chatbot development. You’ll explore real-life problems faced by practitioners and learn scientifically sound solutions supported by code and examples. This book covers: Supervised learning regression-based models for trading strategies, derivative pricing, and portfolio management Supervised learning classification-based models for credit default risk prediction, fraud detection, and trading strategies Dimensionality reduction techniques with case studies in portfolio management, trading strategy, and yield curve construction Algorithms and clustering techniques for finding similar objects, with case studies in trading strategies and portfolio management Reinforcement learning models and techniques used for building trading strategies, derivatives hedging, and portfolio management NLP techniques using Python libraries such as NLTK and scikit-learn for transforming text into meaningful representations

A Free Nation Deep in Debt

Author : James MacDonald
Publisher : Princeton University Press
ISBN 13 : 9780691126326
Total Pages : 580 pages
Book Rating : 4.1/5 (263 download)

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Book Synopsis A Free Nation Deep in Debt by : James MacDonald

Download or read book A Free Nation Deep in Debt written by James MacDonald and published by Princeton University Press. This book was released on 2006-05-22 with total page 580 pages. Available in PDF, EPUB and Kindle. Book excerpt: For the greater part of recorded history the most successful and powerful states were autocracies; yet now the world is increasingly dominated by democracies. In A Free Nation Deep in Debt, James Macdonald provides a novel answer for how and why this political transformation occurred. The pressures of war finance led ancient states to store up treasure; and treasure accumulation invariably favored autocratic states. But when the art of public borrowing was developed by the city-states of medieval Italy as a democratic alternative to the treasure chest, the balance of power tipped. From that point on, the pressures of war favored states with the greatest public creditworthiness; and the most creditworthy states were invariably those in which the people who provided the money also controlled the government. Democracy had found a secret weapon and the era of the citizen creditor was born. Macdonald unfolds this tale in a sweeping history that starts in biblical times, passes via medieval Italy to the wars and revolutions of the seventeenth and eighteenth centuries, and ends with the great bond drives that financed the two world wars.

Machine Learning in Finance

Author : Matthew F. Dixon
Publisher : Springer Nature
ISBN 13 : 3030410684
Total Pages : 565 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Machine Learning in Finance by : Matthew F. Dixon

Download or read book Machine Learning in Finance written by Matthew F. Dixon and published by Springer Nature. This book was released on 2020-07-01 with total page 565 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces machine learning methods in finance. It presents a unified treatment of machine learning and various statistical and computational disciplines in quantitative finance, such as financial econometrics and discrete time stochastic control, with an emphasis on how theory and hypothesis tests inform the choice of algorithm for financial data modeling and decision making. With the trend towards increasing computational resources and larger datasets, machine learning has grown into an important skillset for the finance industry. This book is written for advanced graduate students and academics in financial econometrics, mathematical finance and applied statistics, in addition to quants and data scientists in the field of quantitative finance. Machine Learning in Finance: From Theory to Practice is divided into three parts, each part covering theory and applications. The first presents supervised learning for cross-sectional data from both a Bayesian and frequentist perspective. The more advanced material places a firm emphasis on neural networks, including deep learning, as well as Gaussian processes, with examples in investment management and derivative modeling. The second part presents supervised learning for time series data, arguably the most common data type used in finance with examples in trading, stochastic volatility and fixed income modeling. Finally, the third part presents reinforcement learning and its applications in trading, investment and wealth management. Python code examples are provided to support the readers' understanding of the methodologies and applications. The book also includes more than 80 mathematical and programming exercises, with worked solutions available to instructors. As a bridge to research in this emergent field, the final chapter presents the frontiers of machine learning in finance from a researcher's perspective, highlighting how many well-known concepts in statistical physics are likely to emerge as important methodologies for machine learning in finance.

Deep Value

Author : Tobias E. Carlisle
Publisher : John Wiley & Sons
ISBN 13 : 1118747968
Total Pages : 245 pages
Book Rating : 4.1/5 (187 download)

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Book Synopsis Deep Value by : Tobias E. Carlisle

Download or read book Deep Value written by Tobias E. Carlisle and published by John Wiley & Sons. This book was released on 2014-08-18 with total page 245 pages. Available in PDF, EPUB and Kindle. Book excerpt: The economic climate is ripe for another golden age of shareholder activism Deep Value: Why Activist Investors and Other Contrarians Battle for Control of Losing Corporations is a must-read exploration of deep value investment strategy, describing the evolution of the theories of valuation and shareholder activism from Graham to Icahn and beyond. The book combines engaging anecdotes with industry research to illustrate the principles and methods of this complex strategy, and explains the reasoning behind seemingly incomprehensible activist maneuvers. Written by an active value investor, Deep Value provides an insider's perspective on shareholder activist strategies in a format accessible to both professional investors and laypeople. The Deep Value investment philosophy as described by Graham initially identified targets by their discount to liquidation value. This approach was extremely effective, but those opportunities are few and far between in the modern market, forcing activists to adapt. Current activists assess value from a much broader palate, and exploit a much wider range of tools to achieve their goals. Deep Value enumerates and expands upon the resources and strategies available to value investors today, and describes how the economic climate is allowing value investing to re-emerge. Topics include: Target identification, and determining the most advantageous ends Strategies and tactics of effective activism Unseating management and fomenting change Eyeing conditions for the next M&A boom Activist hedge funds have been quiet since the early 2000s, but economic conditions, shareholder sentiment, and available opportunities are creating a fertile environment for another golden age of activism. Deep Value: Why Activist Investors and Other Contrarians Battle for Control of Losing Corporations provides the in-depth information investors need to get up to speed before getting left behind.

Deep Learning for Finance

Author : Sofien Kaabar
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098148355
Total Pages : 369 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Deep Learning for Finance by : Sofien Kaabar

Download or read book Deep Learning for Finance written by Sofien Kaabar and published by "O'Reilly Media, Inc.". This book was released on 2024-01-08 with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning is rapidly gaining momentum in the world of finance and trading. But for many professional traders, this sophisticated field has a reputation for being complex and difficult. This hands-on guide teaches you how to develop a deep learning trading model from scratch using Python, and it also helps you create and backtest trading algorithms based on machine learning and reinforcement learning. Sofien Kaabar—financial author, trading consultant, and institutional market strategist—introduces deep learning strategies that combine technical and quantitative analyses. By fusing deep learning concepts with technical analysis, this unique book presents outside-the-box ideas in the world of financial trading. This A-Z guide also includes a full introduction to technical analysis, evaluating machine learning algorithms, and algorithm optimization. Understand and create machine learning and deep learning models Explore the details behind reinforcement learning and see how it's used in time series Understand how to interpret performance evaluation metrics Examine technical analysis and learn how it works in financial markets Create technical indicators in Python and combine them with ML models for optimization Evaluate the models' profitability and predictability to understand their limitations and potential

Artificial Intelligence in Finance

Author : Yves Hilpisch
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492055387
Total Pages : 478 pages
Book Rating : 4.4/5 (92 download)

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Book Synopsis Artificial Intelligence in Finance by : Yves Hilpisch

Download or read book Artificial Intelligence in Finance written by Yves Hilpisch and published by "O'Reilly Media, Inc.". This book was released on 2020-10-14 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: The widespread adoption of AI and machine learning is revolutionizing many industries today. Once these technologies are combined with the programmatic availability of historical and real-time financial data, the financial industry will also change fundamentally. With this practical book, you'll learn how to use AI and machine learning to discover statistical inefficiencies in financial markets and exploit them through algorithmic trading. Author Yves Hilpisch shows practitioners, students, and academics in both finance and data science practical ways to apply machine learning and deep learning algorithms to finance. Thanks to lots of self-contained Python examples, you'll be able to replicate all results and figures presented in the book. In five parts, this guide helps you: Learn central notions and algorithms from AI, including recent breakthroughs on the way to artificial general intelligence (AGI) and superintelligence (SI) Understand why data-driven finance, AI, and machine learning will have a lasting impact on financial theory and practice Apply neural networks and reinforcement learning to discover statistical inefficiencies in financial markets Identify and exploit economic inefficiencies through backtesting and algorithmic trading--the automated execution of trading strategies Understand how AI will influence the competitive dynamics in the financial industry and what the potential emergence of a financial singularity might bring about

The Finance Book

Author : Stuart Warner
Publisher : Pearson UK
ISBN 13 : 1292123656
Total Pages : 353 pages
Book Rating : 4.2/5 (921 download)

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Book Synopsis The Finance Book by : Stuart Warner

Download or read book The Finance Book written by Stuart Warner and published by Pearson UK. This book was released on 2017-04-21 with total page 353 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Finance Book will help you think and manage like a financial strategist. Written specifically for non-finance professionals, it will give you all you need to know to manage your business more effectively and think more strategically. It will help you to: Have the confidence to read and interpret financial statements Ask the right questions about financial performance Apply important financial tools and ratios Learn how to think financially and make better strategic financial decisions Covering business finance, accounting fundamentals, budgeting, profitability and cash management, you'll find the tools you need in order to make the best financial decisions for your business. 'Essential reading for any non-finance ‭professional. This is an easy to read and ‭practical guide to the world of finance.’ ‭Paul Herman, Group CEO, Bluebox ‭Corporate Finance ‭‘A really helpful, well organised and easy to ‭understand primer and reference book for ‭those who aren’t accountants but still need ‭to understand the accounts.’ ‭Roger Siddle, Chairman, Cordium Group ‘A great book. At last, a guide that ‭demystifies and encourages business ‭owners to practically understand financial ‭matters. A must read.’ ‭Gordon Vater CEO, RiiG Limited

South African Mining & Engineering Journal

Author :
Publisher :
ISBN 13 :
Total Pages : 958 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis South African Mining & Engineering Journal by :

Download or read book South African Mining & Engineering Journal written by and published by . This book was released on 1921 with total page 958 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Governing Finance

Author : Andrew Walter
Publisher : Cornell University Press
ISBN 13 : 0801458153
Total Pages : 255 pages
Book Rating : 4.8/5 (14 download)

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Book Synopsis Governing Finance by : Andrew Walter

Download or read book Governing Finance written by Andrew Walter and published by Cornell University Press. This book was released on 2011-03-15 with total page 255 pages. Available in PDF, EPUB and Kindle. Book excerpt: The international financial community blamed the Asian crisis of 1997–1998 on deep failures of domestic financial governance. To avoid similar crises in the future, this community adopted and promoted a set of international "best practice" standards of financial governance. The G7 asked specialized public and private sector bodies to set international standards, and tasked the International Monetary Fund and the World Bank with their global dissemination. Non-Western countries were thereby encouraged to emulate Western practices in banking and securities supervision, corporate governance, financial disclosure, and policy transparency. In Governing Finance, Andrew Walter explains why Indonesia, Malaysia, South Korea, and Thailand—key targets and test cases of this international standards project—were placed under intense pressure to transform their domestic financial governance. Walter finds that the depth of the economic crisis, and more enduring aspects of Asian capitalism, such as family ownership of firms, made substantive compliance with international standards very costly for the private sector and politically difficult for governments to achieve. In spite of international compliance pressure, the result was varying degrees of cosmetic or "mock" compliance. In a book containing lessons for any agency or country attempting to implement lasting change in financial governance, Walter emphasizes the limits of global regulatory convergence in the absence of support from domestic politicians, institutions, and firms.

Finance for the People

Author : Paco de Leon
Publisher : Penguin
ISBN 13 : 0143136259
Total Pages : 385 pages
Book Rating : 4.1/5 (431 download)

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Book Synopsis Finance for the People by : Paco de Leon

Download or read book Finance for the People written by Paco de Leon and published by Penguin. This book was released on 2022-02-01 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt: An illustrated, practical guide to navigating your financial life, no matter your financial situation "a potent mix of deeply practical and wonderfully empathetic" —Erin Lowry, author of Broke Millennial "one of the most approachable financial books I've ever read." —Refinery 29 We are all weird about money. Whether you have a lot or a little, your feelings and beliefs about money have been shaped by a combination of silence (or even shame) around talking about money, personal experiences, family and societal expectations, and a whole big complex system rigged against many of us from the start. Begin with that baseline premise and it’s no surprise so many of us find it so difficult to save enough money (but way too easy to get trapped in ballooning credit card debt), emotionally draining to deal with student loans, and nearly impossible to understand the esoteric world of investing. Unlike most personal finance books that focus on skills and behaviors, FINANCE FOR THE PEOPLE asks you to examine your beliefs and experiences around money—blending extremely practical exercises with mindfulness, and including more than 50 illustrations and diagrams to make the concepts accessible (and even fun). With deep insider expertise from years spent in many different corners of the financial industry, Paco de Leon is a friendly, approachable, and wise guide who invites readers to change their relationship with money. With her holistic approach you’ll learn how to: • root out your unconscious beliefs about money • untangle the mental and emotional burden of student loans to pay them off • use a gratitude practice to help you think differently about spending • break out of the debt cycle and begin building wealth This book is for anyone who feels unseen, ignored, or bored to death by the way personal finances are approached and taught, and is ready to go on a journey of self-discovery and step into their financial power.

DeFi and the Future of Finance

Author : Campbell R. Harvey
Publisher : John Wiley & Sons
ISBN 13 : 1119836018
Total Pages : 217 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis DeFi and the Future of Finance by : Campbell R. Harvey

Download or read book DeFi and the Future of Finance written by Campbell R. Harvey and published by John Wiley & Sons. This book was released on 2021-08-24 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the Global Financial Crisis in 2008, our financial infrastructure failed. Governments bailed out the very institutions that let the economy down. This episode spurred a serious rethink of our financial system. Does it make any sense that it takes two days to settle a stock transaction? Why do retailers, operating on razor thin margins, have to pay 3% for every customer credit card swipe? Why does it take two days to transfer money from a bank account to a brokerage—or any other company? Why are savings rates miniscule or negative? Why is it so difficult for entrepreneurs to get financing at traditional banks? In DeFi and the Future of Finance, Campbell R. Harvey, Ashwin Ramachandran and Joey Santoro, introduce the new world of Decentralized Finance. The book argues that the current financial landscape is ripe for disruption and we are seeing, in real time, the reinvention of finance. The authors provide the reader with a clear assessment of the problems with the current financial system and how DeFi solves many of these problems. The essence of DeFi is that we interact with peers—there is no brick and mortar and all of the associated costs. Savings and lending are reinvented. Trading takes place with algorithms far removed from traditional brokerages. The book conducts a deep dive on some of the most innovative protocols such as Uniswap and Compound. Many of the companies featured in the book you might not have heard of—however, you will in the future. As with any new technology, there are a myriad of risks and the authors carefully catalogue these risks and assess which ones can be successfully mitigated. Ideally suited for people working in any part of the finance industry as well as financial policy makers, DeFi and the Future of Finance gives readers a vision of the future. The world of finance will fundamentally be changed over the coming decade. The book enables you to become part of the disruption – not the target of the disruption.

The AI Book

Author : Ivana Bartoletti
Publisher : John Wiley & Sons
ISBN 13 : 1119551927
Total Pages : 782 pages
Book Rating : 4.1/5 (195 download)

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Book Synopsis The AI Book by : Ivana Bartoletti

Download or read book The AI Book written by Ivana Bartoletti and published by John Wiley & Sons. This book was released on 2020-04-09 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: Written by prominent thought leaders in the global fintech space, The AI Book aggregates diverse expertise into a single, informative volume and explains what artifical intelligence really means and how it can be used across financial services today. Key industry developments are explained in detail, and critical insights from cutting-edge practitioners offer first-hand information and lessons learned. Coverage includes: · Understanding the AI Portfolio: from machine learning to chatbots, to natural language processing (NLP); a deep dive into the Machine Intelligence Landscape; essentials on core technologies, rethinking enterprise, rethinking industries, rethinking humans; quantum computing and next-generation AI · AI experimentation and embedded usage, and the change in business model, value proposition, organisation, customer and co-worker experiences in today’s Financial Services Industry · The future state of financial services and capital markets – what’s next for the real-world implementation of AITech? · The innovating customer – users are not waiting for the financial services industry to work out how AI can re-shape their sector, profitability and competitiveness · Boardroom issues created and magnified by AI trends, including conduct, regulation & oversight in an algo-driven world, cybersecurity, diversity & inclusion, data privacy, the ‘unbundled corporation’ & the future of work, social responsibility, sustainability, and the new leadership imperatives · Ethical considerations of deploying Al solutions and why explainable Al is so important

Advances in Financial Machine Learning

Author : Marcos Lopez de Prado
Publisher : John Wiley & Sons
ISBN 13 : 1119482119
Total Pages : 400 pages
Book Rating : 4.1/5 (194 download)

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Book Synopsis Advances in Financial Machine Learning by : Marcos Lopez de Prado

Download or read book Advances in Financial Machine Learning written by Marcos Lopez de Prado and published by John Wiley & Sons. This book was released on 2018-01-23 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

Principles of Project Finance

Author : E. R. Yescombe
Publisher : Academic Press
ISBN 13 : 0124157556
Total Pages : 560 pages
Book Rating : 4.1/5 (241 download)

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Book Synopsis Principles of Project Finance by : E. R. Yescombe

Download or read book Principles of Project Finance written by E. R. Yescombe and published by Academic Press. This book was released on 2013-11-13 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Second Edition of this best-selling introduction for practitioners uses new material and updates to describe the changing environment for project finance. Integrating recent developments in credit markets with revised insights into making project finance deals, the second edition offers a balanced view of project financing by combining legal, contractual, scheduling, and other subjects. Its emphasis on concepts and techniques makes it critical for those who want to succeed in financing large projects. With extensive cross-references and a comprehensive glossary, the Second Edition presents anew a guide to the principles and practical issues that can commonly cause difficulties in commercial and financial negotiations. Provides a basic introduction to project finance and its relationship with other financing techniques Describes and explains: sources of project finance; typical commercial contracts (e.g., for construction of the project and sale of its product or services) and their effects on project-finance structures; project-finance risk assessment from the points of view of lenders, investors, and other project parties; how lenders and investors evaluate the risks and returns on a project; the rôle of the public sector in public-private partnerships and other privately-financed infrastructure projects; how all these issues are dealt with in the financing agreements

The Everything Personal Finance in Your 20s & 30s Book

Author : Howard Davidoff
Publisher : Simon and Schuster
ISBN 13 : 1440542724
Total Pages : 304 pages
Book Rating : 4.4/5 (45 download)

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Book Synopsis The Everything Personal Finance in Your 20s & 30s Book by : Howard Davidoff

Download or read book The Everything Personal Finance in Your 20s & 30s Book written by Howard Davidoff and published by Simon and Schuster. This book was released on 2012-08-18 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get control of your finances - and your future! Do you feel like you'll never pay off your student loans? Worried about your mounting credit card debt? Wondering when you'll ever make enough money to stop living paycheck to paycheck? You're not alone - millions of young Americans are finding it hard to save for the future and still pay today's bills on time. But with The Everything Personal Finance in Your 20s and 30s Book, 3rd Edition, you'll learn how to be financially independent by: Creating a workable budget Minimizing credit card and student loan debt Investing money wisely Building an emergency fund You'll also learn how the Consumer Financial Protection Bureau can help you navigate the often-confusing world of financial service products. With this easy-to-use guide, you'll learn how to manage, save, and invest wisely - starting today!

Python for Finance Cookbook

Author : Eryk Lewinson
Publisher : Packt Publishing Ltd
ISBN 13 : 1789617324
Total Pages : 426 pages
Book Rating : 4.7/5 (896 download)

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Book Synopsis Python for Finance Cookbook by : Eryk Lewinson

Download or read book Python for Finance Cookbook written by Eryk Lewinson and published by Packt Publishing Ltd. This book was released on 2020-01-31 with total page 426 pages. Available in PDF, EPUB and Kindle. Book excerpt: Solve common and not-so-common financial problems using Python libraries such as NumPy, SciPy, and pandas Key FeaturesUse powerful Python libraries such as pandas, NumPy, and SciPy to analyze your financial dataExplore unique recipes for financial data analysis and processing with PythonEstimate popular financial models such as CAPM and GARCH using a problem-solution approachBook Description Python is one of the most popular programming languages used in the financial industry, with a huge set of accompanying libraries. In this book, you'll cover different ways of downloading financial data and preparing it for modeling. You'll calculate popular indicators used in technical analysis, such as Bollinger Bands, MACD, RSI, and backtest automatic trading strategies. Next, you'll cover time series analysis and models, such as exponential smoothing, ARIMA, and GARCH (including multivariate specifications), before exploring the popular CAPM and the Fama-French three-factor model. You'll then discover how to optimize asset allocation and use Monte Carlo simulations for tasks such as calculating the price of American options and estimating the Value at Risk (VaR). In later chapters, you'll work through an entire data science project in the financial domain. You'll also learn how to solve the credit card fraud and default problems using advanced classifiers such as random forest, XGBoost, LightGBM, and stacked models. You'll then be able to tune the hyperparameters of the models and handle class imbalance. Finally, you'll focus on learning how to use deep learning (PyTorch) for approaching financial tasks. By the end of this book, you’ll have learned how to effectively analyze financial data using a recipe-based approach. What you will learnDownload and preprocess financial data from different sourcesBacktest the performance of automatic trading strategies in a real-world settingEstimate financial econometrics models in Python and interpret their resultsUse Monte Carlo simulations for a variety of tasks such as derivatives valuation and risk assessmentImprove the performance of financial models with the latest Python librariesApply machine learning and deep learning techniques to solve different financial problemsUnderstand the different approaches used to model financial time series dataWho this book is for This book is for financial analysts, data analysts, and Python developers who want to learn how to implement a broad range of tasks in the finance domain. Data scientists looking to devise intelligent financial strategies to perform efficient financial analysis will also find this book useful. Working knowledge of the Python programming language is mandatory to grasp the concepts covered in the book effectively.