Seminar paper from the year 2015 in the subject Business economics - Investment and Finance, grade: 1,00, University of Innsbruck (Department of Banking and Finance), course: Proseminar: Financial Management, language: English, abstract: The purpose of this paper is to do empirical research on the capital asset pricing model. The bases of our research are the returns of three stocks, the S&P 500 index which represents the market and the LIBOR as a proxy for the risk-free interest rate. The three companies that were chosen in this paper were Kellogg Company, KB Financial Group Inc. and Kate Spade & Company and all of them in combination represent our fictive market.

This compelling book examines the price-based revolution in investing, showing how research over recent decades has reinvented technical analysis. The authors discuss the major groups of price-based strategies, considering their theoretical motivation, individual and combined implementation, and back-tested results when applied to investment across country stock markets. Containing a comprehensive sample of performance data, taken from 24 major developed markets around the world and ranging over the last 25 years, the authors construct practical portfolios and display their performance—ensuring the book is not only academically rigorous, but practically applicable too. This is a highly useful volume that will be of relevance to researchers and students working in the field of price-based investing, as well as individual investors, fund pickers, market analysts, fund managers, pension fund consultants, hedge fund portfolio managers, endowment chief investment officers, futures traders, and family office investors.

The Capital Asset Pricing Model (CAPM) and the mean-variance (M-V) rule, which are based on classic expected utility theory, have been heavily criticized theoretically and empirically. The advent of behavioral economics, prospect theory and other psychology-minded approaches in finance challenges the rational investor model from which CAPM and M-V derive. Haim Levy argues that the tension between the classic financial models and behavioral economics approaches is more apparent than real. This book aims to relax the tension between the two paradigms. Specifically, Professor Levy shows that although behavioral economics contradicts aspects of expected utility theory, CAPM and M-V are intact in both expected utility theory and cumulative prospect theory frameworks. There is furthermore no evidence to reject CAPM empirically when ex-ante parameters are employed. Professionals may thus comfortably teach and use CAPM and behavioral economics or cumulative prospect theory as coexisting paradigms.

This popular textbook offers a broad and accessible introduction to the building blocks of modern finance: financial markets, institutions and instruments. Focussing on the core elements of the subject, the author blends theory with real-life data, cases and numerical worked examples, linking the material to practice at just the right level of technical complexity. This new edition has updated data and cases throughout, ensuring that it is as up-to-date as possible in this fast-moving area. More assessment and self-test resources have been added to the book to help support students and lecturers. It 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. New to this Edition: - New case studies, including coverage of the Libor and foreign exchange rigging scandals, Bitcoin, the FinTech revolution and issues raised by Brexit - Fully updated data and relevant numerical examples - Coverage of derivatives such as futures, options and swaps - Extensive discussion of regulatory developments since the financial crisis - A companion website featuring teaching resources is available

This four-volume handbook covers important concepts and tools used in the fields of financial econometrics, mathematics, statistics, and machine learning. Econometric methods have been applied in asset pricing, corporate finance, international finance, options and futures, risk management, and in stress testing for financial institutions. This handbook discusses a variety of econometric methods, including single equation multiple regression, simultaneous equation regression, and panel data analysis, among others. It also covers statistical distributions, such as the binomial and log normal distributions, in light of their applications to portfolio theory and asset management in addition to their use in research regarding options and futures contracts.In both theory and methodology, we need to rely upon mathematics, which includes linear algebra, geometry, differential equations, Stochastic differential equation (Ito calculus), optimization, constrained optimization, and others. These forms of mathematics have been used to derive capital market line, security market line (capital asset pricing model), option pricing model, portfolio analysis, and others.In recent times, an increased importance has been given to computer technology in financial research. Different computer languages and programming techniques are important tools for empirical research in finance. Hence, simulation, machine learning, big data, and financial payments are explored in this handbook.Led by Distinguished Professor Cheng Few Lee from Rutgers University, this multi-volume work integrates theoretical, methodological, and practical issues based on his years of academic and industry experience.

"Thirty years ago, Portfolio Theory and Capital Markets laid the groundwork for today's investment standards, from modern portfolio theory to derivatives, pricing and investment, equity index funds, and more. By providing invaluable insights into the Capital Asset Pricing Model (CAPM) and introducing such innovations as the Sharpe Ratio, Dr. William Sharpe established himself as one of the most influential financial minds of the twentieth century. Now, in Portfolio Theory and Capital Markets, The Original Edition, complete with a new foreword written by Dr. Sharpe, McGraw-Hill reintroduces this essential book - and places its lessons in a meaningful context for modern investors throughout the world."--BOOK JACKET.Title Summary field provided by Blackwell North America, Inc. All Rights Reserved

Liquidity and Asset Prices reviews the literature that studies the relationship between liquidity and asset prices. The authors review the theoretical literature that predicts how liquidity affects a security's required return and discuss the empirical connection between the two. Liquidity and Asset Prices surveys the theory of liquidity-based asset pricing followed by the empirical evidence. The theory section proceeds from basic models with exogenous holding periods to those that incorporate additional elements of risk and endogenous holding periods. The empirical section reviews the evidence on the liquidity premium for stocks, bonds, and other financial assets.