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La ciencia de hacerse rico

Edición con prólogo, comentada y biografía del autor (Nueva traducción)

NLP, Sentiment, and Beyond

Financial Econometrics with Alternative Data

How Smart Companies Turbocharge Shareholder Value with Bitcoin

Bitcoin Corporate Strategy

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.

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

World Scientific Series in Finance

The aim of this book is to provide the basic concepts and techniques underlying the quantitative analysis of risk in stochastic dynamic systems. The methods are general, but the emphasis is on financial systems in market economies, and operating systems in transportation. Real world case studies are included. These case studies illustrate how risk analysis is done in practice. Data files are also analysed with the EViews software.

Throughout the book, the role of decisions on the outcome from stochastic systems is emphasized. The theme is that "decisions have consequences". The standard risk measures for the consequences from downside outcomes are presented, and risk-return models incorporate those measures into optimal decisions.

With the inclusion of both conceptual models and practical applications, the book is accessible to senior undergraduate and graduate students in business. In particular, the book is a suitable reference or text for a risk analysis course for masters of business administration students.

Some mathematical background is required to understand the models and equations. Experience with statistical reasoning and statistical software is an advantage. There are appendices which summarize relevant mathematical concepts included in the book.

Quantitative Methods In Risk Analysis: A Practitioner's Guide

Harriman House

Big Money Footprints reveals a way of trading that most people never see: following the tracks of the biggest, most powerful players in the market. Institutions can't move billions without leaving clues - what trading innovator Guy Cohen calls 'Big Money Footprints'. Once you know how to spot these six simple footprints, you'll wonder how you ever placed a trade before. Find Big Money. Follow Big Money. Profit from Big Money. The method is clean, logical, and highly efficient. If the footprints don't line up, you walk away. If they do, you've found a higher-probability setup. And with Guy's straightforward three-step plan for risk control, you'll know exactly how to enter, manage, and exit trades with confidence. Organized into practical modules, the book shows you how to: <ul><li>Time the market - so you're swimming with the tide, not against it. </li><li>Select the right stocks - by riding on the coattails of Big Money. </li><li>Control your risk - so losses stay small and profits can run. </li></ul> Down to earth, clear, and refreshingly honest, Big Money Footprints shows you how to spot higher-probability trades and grow your profits - changing the way you trade forever.

How To Trade By Following Wall Street's Giants

Big Money Footprints

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

Financial Statement Analysis and Security Valuation ISE

Scam World

A story-driven stock investing guide from a Rhodes Scholar and professional fund manager&nbsp; In How Investing Changed the World: And How It Can Change Your Life, Rhodes Scholar and fund manager Jonathan Tepper teams with award-winning author Joseph Luzzi, PhD, to deliver an accessible, story-driven guide to stock investing. Tepper brings decades of professional experience managing over $600 million in assets at Prevatt Capital, while Luzzi offers three decades of perspective as a private investor.&nbsp; The book pairs Wall Street expertise with Main Street sensibility, using engaging stories and concrete examples to communicate stock investing's principal lessons. Rather than relying on complex mathematical models or abstract theory, the authors draw on their combined experience in financial services, literature, history, and entrepreneurship to present practical investing knowledge that informs without talking down to readers.&nbsp; Readers will also find:&nbsp; <ul> <li>Lessons from a professional money manager who started as an equity analyst at SAC Capital and Bank of America&nbsp;</li> <li>An engaging, story-based approach modeled on the style of the Economist and New Yorker magazines&nbsp;</li> <li>Insights combining professional Wall Street investment perspective with practical Main Street investor experience and cultural understanding&nbsp;</li> <li>Accessible explanations of stock investing fundamentals designed for both new and experienced individual investors seeking clarity&nbsp;</li> <li>Real-world examples and concrete illustrations that bring investing principles to life without overwhelming technical jargon&nbsp;</li> </ul> Ideal for individual investors, aspiring market participants, and anyone curious about the role stocks can play in building wealth, How Investing Changed the World connects professional investment insight with culturally rich storytelling to make stock investing understandable, relevant, and actionable.&nbsp;

And How It Can Change Your Life

How Investing Changed the World

Theory, Methods, and Computation

Elements of Stochastic Finance

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.

Multiscale Financial Data Analytics And Machine Learning

Wiley Trading

The Ultimate Guide to Mean Reversion

The Universal Principles of Successful Counter Trend Trading

La ciencia de hacerse rico

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