M: Finance is a market-driven corporate finance book with the latest in teaching and learning tools – all at an affordable price! With M: Finance , students receive a cost-effective, easy to read, focused text complete with study resources (both print and online) to help them review for tests and apply chapter concepts. Professors receive a text that contains all the pertinent information--yet in a more condensed format that is easier to cover. M: Finance: Meet the Future!
The integrated solutions for Cornett's M: Finance have been specifically designed to help improve student performance, meaning that students are prepared for and engaged in class, and they can successfully solve problems and analyze the results. Cornett M's unmatched pedagogy and additional resources within Connect help students solve financial problems, understand the relevance, and apply what they've learned. Cornett M's succinct coverage, magazine-like design, and personal examples combine with a complete digital solution to help your students achieve higher outcomes in the course. Connect is the only integrated learning system that empowers students by continuously adapting to deliver precisely what they need, when they need it, and how they need it, so that your class time is more engaging and effective.
The Revolution in Corporate Finance has established itself as a key text for students of corporate finance with wide use on a range of courses. Using seminal articles from the highly regarded Bank of America Journal of Applied Corporate Finance, it gives students real insight into the practical implications of the most recent theoretical advances in the field. This extensively revised and updated fourth edition contains a significant amount of new material while retaining key original articles from previous editions. It offers, in one volume, coverage of the latest academic thinking, written by leading financial economists in a way that is accessible to students and corporate management. Uses seminal articles from the highly regarded Bank of America Journal of Applied Corporate Finance. Gives insight into the practical implications of recent theoretical advances in the field. Enhanced by new material, including two new sections on International Finance and International Corporate Governance. Highlights contributions of Nobel Laureate Merton Miller to the field of Finance.
This textbook contains the fundamentals for an undergraduate course in mathematical finance aimed primarily at students of mathematics. Assuming only a basic knowledge of probability and calculus, the material is presented in a mathematically rigorous and complete way. The book covers the time value of money, including the time structure of interest rates, bonds and stock valuation; derivative securities (futures, options), modelling in discrete time, pricing and hedging, and many other core topics. With numerous examples, problems and exercises, this book is ideally suited for independent study.
In this volume, based on a week-long symposium at the University of Munich's Center for Economic Studies, two leading scholars of governmental economics debate their divergent perspectives on the role of government and its fiscal functions. James M. Buchanan, who was influential in developing the research program in public choice, concentrates on the imperfections of the political process and stresses the need for rules to restrain governmental interference. Richard A. Musgrave, a founder of modern public finance, points to market failures and inequities that call for corrective public policies. They apply their differing economic and political philosophies to a variety of key issues. Each presentation is followed by a response and general discussion.
We are only in the early stages of a broader revolution that will impact every aspect of the global economy, including commerce and government services. Coming financial technology innovations could improve the quality of life for all people. Over the past few decades, digital technology has transformed finance. Financial technology (fintech) has enabled more people with fewer resources, in more places around the world, to take advantage of banking, insurance, credit, investment, and other financial services. Marion Laboure and Nicolas Deffrennes argue that these changes are only the tip of the iceberg. A much broader revolution is under way that, if steered correctly, will lead to huge and beneficial social change. The authors describe the genesis of recent financial innovations and how they have helped consumers in rich and poor countries alike by reducing costs, increasing accessibility, and improving convenience and efficiency. They connect the dots between early innovations in financial services and the wider revolution unfolding today. Changes may disrupt traditional financial services, especially banking, but they may also help us address major social challenges: opening new career paths for millennials, transforming government services, and expanding the gig economy in developed markets. Fintech could lead to economic infrastructure developments in rural areas and could facilitate emerging social security and healthcare systems in developing countries. The authors make this case with a rich combination of economic theory and case studies, including microanalyses of the effects of fintech innovations on individuals, as well as macroeconomic perspectives on fintech's impact on societies. While celebrating fintech's achievements to date, Laboure and Deffrennes also make recommendations for overcoming the obstacles that remain. The stakes--improved quality of life for all people--could not be higher.
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.
Achieve investing success by understanding your behavior type This groundbreaking book shows how to invest wisely by managing your behavior, and not just your money. Step by step, Michael Pompian (a leading authority in the practical application of Behavioral Finance concepts to wealth management) helps you plan a strategy targeted to your personality. The book includes a test for determining your investment type and offers strategies you can put into use when investing. It also includes a brief history of the stock market, and easy-to-comprehend information about stocks and investing to help you lay a solid foundation for your investment decisions. Behavioral Finance and Investor Types is divided into two parts. Test Your Type, gives an overview of Behavioral Finance as well as the elements that come into play when figuring out BIT, like active or passive traits, risk tolerance, and biases. The book includes a quiz to help you discover what category you are in. Plan and Act, contains the traits common to your type; an analysis of the biases associated with your type; and strategies and solutions that compliment and capitalize on your BIT. Offers a practical guide to an investing strategy that fits both your financial situation and your personality type Includes a test for determining your tolerance for risk and other traits that will determine your investment type Written by the Director of the Private Wealth Practice for Hammond Associates—an investment consulting firm serving institutional and private wealth clients Behavioral Finance and Investor Types offers investors a better sense of what drives them and what puts on their breaks. By using the information found here, you'll quickly become savvy about the world of investing because you'll come to understand your place in it.
