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Schwartz A: Financial Econometrics with
Alternative Data

Financial Econometrics with Alternative Data

NLP, Sentiment, and Beyond

Have you ever wanted to start investing, but not known where to begin? Invest Lah! is the perfect guide for beginners looking to navigate the world of investing in Singapore. This comprehensive book covers everything from understanding the basics of stocks to exploringthe Singapore stock market, equipping beginner investors with the essential knowledge on how to get started.

This special 10th anniversary edition revisits the helpful advice and expert insights compiled by the authorsand introduces new interviews with experienced investors. A glimpse from a practitioner's point-of-view, the book offers readers step-by-step guidance on opening a brokerage account, researching potential investments, and managing risks. It also explores popular investment strategies, such as dollar-cost averaging and value investing.

Written in a clear and concise style, Invest Lah! demystifies complex financial concepts and provides practical advice for building a successful investment portfolio. With its user-friendly approach and real-world examples, this book empowers readers to make informed financial decisions to achieve their long-term financial goals. Invest Lah! is a valuable resource for anyone looking to start their investing journey in Singapore.

Invest Lah!: The Average Joe's Guide To Investing - Tenth Anniversary Special Edition

The Wiley Finance Series

A Practical Guide with Examples Worked in Python and R

Machine Learning and Artificial Intelligence for Credit Risk Analytics

Renowned economist Josh Ryan-Collins provides the ideal pedagogical resource for anyone concerned with the major role central banks play in shaping all of our economic opportunities and daily lives. This book provides a concise, authoritative overview of the history and stated purpose of central banks. With critiques of principles and actions that have emerged since the 2008 crash, Ryan-Collins's own and others' proposals offer a solution of how to reform them. In a clear, easy-to-follow structure, it offers historical-normative descriptions of the evolution and role of central banks alongside "myth-busting" chapters explaining the salient critiques of, and proposed alternatives to, principles at the heart of central-bank thinking. Along the way, it covers the major issues preoccupying critical central banking studies and political economics today, including housing inequalities, climate change, digital currencies, and the potential impact of artificial intelligence.

Rethinking Central Banking and Macrofinancial Policy for the Age of Polycrisis

The Gods that Failed

A practical problem solving reference for commodity and Forex derivatives Problems and Solutions in Mathematical Finance provides an innovative reference for quantitative finance students and practitioners.

Problems and Solutions in Mathematical Finance Vol ume IV: Commodity and Foreign Exchange Derivatives

This popular textbook offers a broad and accessible introduction to the building blocks of modern finance: financial markets, institutions and instruments. Theory is blended with real-world data, cases and numerical worked examples to offer a broad and accessible introduction to the building blocks of modern finance in the 5th edition of Finance and Financial Markets. The book features assessment and self-test resources to help support students and lecturers, as well as extensive discussion of regulatory developments, case studies involving FinTech and Brexit and fully updated data. An updated companion website is also available which offers lecturer slides and multiple choice questions. This new edition has updated data and cases throughout, ensuring that it is as up-to-date as possible in this fast-moving area. New material has been introduced relating to environmental, social and governance (ESG) factors, emerging markets and sustainable finance. The opening five chapters provide an introduction to the world of finance and cover the basic theory relating to the operation of financial institutions and the domestic and offshore (Eurocurrency) money markets. Chapters 6 to 10 deal with both the theory and practice relating to capital markets. The theory covers areas such as portfolio diversification, the capital asset pricing model, the Gordon growth model and the efficient market hypothesis, while the practice looks at the domestic and international bond markets and equity markets. After an examination of the foreign exchange market and forward markets, the final chapters of this comprehensive textbook cover derivative instruments, financial innovations and, as a closing reflection, financial regulation. Finance and Financial Markets is ideally suited to students at all levels who take economics, business and finance courses, as well as for those who want to understand the workings of the modern financial world.

Finance and Financial Markets

Modern Trends In Financial Engineering

Multiscale Financial Data Analytics and Machine Learning offers a systematic and comprehensive study on the multiscale approach to financial data analytics and machine learning. This book covers an array of multiscale methods to discover the properties of various timescales embedded in a financial time series, including noise-assisted empirical mode decomposition methods. Important interpretable multiscale outputs from the estimation are recognized as a new set of features that can be used for machine learning. The feature selection problem for machine learning is examined in this volume.This book offers an applied quantitative approach that combines novel analytical methodologies and practical applications to a wide array of examples with real-world data. It is self-contained and organized in its presentation. The explanations of the methodologies are both accessible and detailed enough to capture the interest of the curious student or researcher. Step-by-step descriptions of the algorithms are provided for straightforward implementation.

Financial Econometrics with Alternative Data

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