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Camacho A: Business Case para Startups

Business Case para Startups

La herramienta clave para decisiones estratégicas

Preya Bhattacharya offers the first full-length assessment of the impact of microfinance on post-conflict women's empowerment in the Balkans. In so doing, she provides vital new insights into what women's microfinance contributes to macroeconomic development in the former Yugoslavian countries of Macedonia, Croatia, Slovenia, Montenegro, Serbia, Bosnia-Herzegovina, and Kosovo. At the same time, she develops a uniquely clear, concise approach to Qualitative Comparative Analysis (QCA), which she uses to make sense of an extensive, exhaustive raw set of available data and research. This methodology not only offers a way of using both micro and macroeconomic data to revisit Amartya Sen's theory of development as freedom, but also provides a framework for other researchers to assess the impacts of microfinance on women's development throughout the world, and particularly in the Global South. For its original focus, its clear and streamlined methodological approach, and its global implications, this book provides a go-to source for researchers, students, and practitioners of international development, gender studies, and economics and finance.

A Qualitative Comparative Analysis

Microfinance and Post-conflict Women's Empowerment in the Balkans

Financial Statement Analysis and Security Valuation ISE

The True Story No Crypto Guru Will Ever Tell You

Burned by the Market

NLP, Sentiment, and Beyond

Financial Econometrics with Alternative Data

An up-to-date and complete approach to incorporating ESG considerations in real-world M&amp;A transactions In Green Gold, a team of seasoned strategists and analysts delivers a comprehensive discussion of how value is created and destroyed by ESG considerations in mergers and acquisitions transactions. The authors explain how environmental, social, and governance considerations impact financial value in M&amp;A, providing extensive examples and case studies. The book explores successful and unsuccessful attempts to incorporate and account for ESG. It offers a practical methodology and structured approach that you can use in real-world transactions when dealing with ESG value. Inside the book: <ul> <li>Explorations of the investment lifecycle predominantly focused on ESG due diligence</li> <li>Discussions of materiality and maturity assessments and a comprehensive examination of the ESG investment thesis</li> <li>Introductions to an ESG adjusted earnings and cash-flow forecast</li> </ul> Perfect for students of finance with a focus on ESG and sustainability, as well as students in MBA programs and M&amp;A professionals working at accounting and law firms, investment banks, private equity firms, and hedge funds. Green Gold is also an invaluable guide for board members and senior executives.

How sustainability creates deal value

Green Gold

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

Institutional Trading Systems, Liquidity Dynamics, and Execution Engineering in Global 24-Hour Currency Markets

Foreign Exchange Market Microstructure

So you need a...Will

Scam World

Wiley Finance

The complete and practical guide to one of the hottest topics in quantitative finance Deep learning, that is, the use of deep neural networks, is now one of the hottest topics amongst quantitative analysts. Deep Learning in Quantitative Finance provides a comprehensive treatment of deep learning and describes a wide range of applications in mainstream quantitative finance. Inside, you'll find over ten chapters which apply deep learning to multiple use cases across quantitative finance. You'll also gain access to a companion site containing a set of Jupyter notebooks, developed by the author, that use Python to illustrate the examples in the text. Readers will be able to work through these examples directly. This book is a complete resource on how deep learning is used in quantitative finance applications. It introduces the basics of neural networks, including feedforward networks, optimization, and training, before proceeding to cover more advanced topics. You'll also learn about the most important software frameworks. The book then proceeds to cover the very latest deep learning research in quantitative finance, including approximating derivative values, volatility models, credit curve mapping, generating realistic market data, and hedging. The book concludes with a look at the potential for quantum deep learning and the broader implications deep learning has for quantitative finance and quantitative analysts. <ul> <li>Covers the basics of deep learning and neural networks, including feedforward networks, optimization and training, and regularization techniques</li> <li>Offers an understanding of more advanced topics like CNNs, RNNs, autoencoders, generative models including GANs and VAEs, and deep reinforcement learning</li> <li>Demonstrates deep learning application in quantitative finance through case studies and hands-on applications via the companion website</li> <li>Introduces the most important software frameworks for applying deep learning within finance</li></ul> This book is perfect for anyone engaged with quantitative finance who wants to get involved in a subject that is clearly going to be hugely influential for the future of finance.

Deep Learning in Quantitative Finance

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

A Practical Guide to Financial Independence and Early Retirement for Anyone Starting in Their 30s, 40s, or 50s

FIRE for Late Starters

Business Case para Startups

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