Seminar paper from the year 2018 in the subject Economics - Finance, grade: 1.0, Zeppelin University Friedrichshafen, course: Advanced Financing, language: English, abstract: This paper is concerned with analyzing the basic determinants of option prices. These are the information derived from the underlying stock, namely the mean and the volatility of its returns. Therefore, this paper aims at answering the question, what influence stock return mean and volatility have on the respective option prices. This can be important to option traders trying to identify the stocks for which to trade options, by providing an understanding for the foundations of the option pricing and the information those prices provide. To isolate these basic determinants from the other influences, described above as structural and institutional factors, a simulation study is conducted. Section 2 will provide the theoretical framework and simulation methodology for the study. Section 3 describes the used dataset and section 4 presents and discusses the results of the simulation.

Seminar paper from the year 2018 in the subject Economics - Finance, grade: 1.0, Zeppelin University Friedrichshafen, course: Advanced Financing, language: English, abstract: This paper is concerned with analyzing the basic determinants of option prices. These are the information derived from the underlying stock, namely the mean and the volatility of its returns. Therefore, this paper aims at answering the question, what influence stock return mean and volatility have on the respective option prices. This can be important to option traders trying to identify the stocks for which to trade options, by providing an understanding for the foundations of the option pricing and the information those prices provide. To isolate these basic determinants from the other influences, described above as structural and institutional factors, a simulation study is conducted. Section 2 will provide the theoretical framework and simulation methodology for the study. Section 3 describes the used dataset and section 4 presents and discusses the results of the simulation.

An introduction to the theory and methods of empirical asset pricing, integrating classical foundations with recent developments. This book offers a comprehensive advanced introduction to asset pricing, the study of models for the prices and returns of various securities. The focus is empirical, emphasizing how the models relate to the data. The book offers a uniquely integrated treatment, combining classical foundations with more recent developments in the literature and relating some of the material to applications in investment management. It covers the theory of empirical asset pricing, the main empirical methods, and a range of applied topics. The book introduces the theory of empirical asset pricing through three main paradigms: mean variance analysis, stochastic discount factors, and beta pricing models. It describes empirical methods, beginning with the generalized method of moments (GMM) and viewing other methods as special cases of GMM; offers a comprehensive review of fund performance evaluation; and presents selected applied topics, including a substantial chapter on predictability in asset markets that covers predicting the level of returns, volatility and higher moments, and predicting cross-sectional differences in returns. Other chapters cover production-based asset pricing, long-run risk models, the Campbell-Shiller approximation, the debate on covariance versus characteristics, and the relation of volatility to the cross-section of stock returns. An extensive reference section captures the current state of the field. The book is intended for use by graduate students in finance and economics; it can also serve as a reference for professionals.

Over the last 20 years hedge funds and derivatives have fluctuated in reputational terms; they have been blamed for the global financial crisis and been praised for the provision of liquidity in troubled times. Both topics are rather under-researched due to a combination of data and secrecy issues. This book is a collection of papers celebrating 20 years of the Journal of Derivatives and Hedge Funds (JDHF). The 18 papers included in this volume represent a small sample of influential papers included during the life of the Journal, representing industry-orientated research in these areas. With a Preface from co-editor of the journal Stephen Satchell, the first part of the collection focuses on hedge funds and the second on markets, prices and products.

Monte Carlo methods have been used for decades in physics, engineering, statistics, and other fields. Monte Carlo Simulation and Finance explains the nuts and bolts of this essential technique used to value derivatives and other securities. Author and educator Don McLeish examines this fundamental process, and discusses important issues, including specialized problems in finance that Monte Carlo and Quasi-Monte Carlo methods can help solve and the different ways Monte Carlo methods can be improved upon. This state-of-the-art book on Monte Carlo simulation methods is ideal for finance professionals and students. Order your copy today.

Written by a number of authors, this text is aimed at market practitioners and applies the latest stochastic volatility research findings to the analysis of stock prices. It includes commentary and analysis based on real-life situations.