Welcome to our book review site go-pdf.online!
You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Stochastic Dominance and Applications to Finance, Risk and Economics
Drawing from many sources in the literature, Stochastic Dominance and Applications to Finance, Risk and Economics illustrates how stochastic dominance (SD) can be used as a method for risk assessment in decision making. It provides basic background on SD for various areas of applications. Useful Concepts and Techniques for Economics ApplicationsThe
Risk Measures with Applications in Finance and Economics
Risk measures play a vital role in many subfields of economics and finance. It has been proposed that risk measures could be analysed in relation to the performance of variables extracted from empirical real-world data. For example, risk measures may help inform effective monetary and fiscal policies and, therefore, the further development of pricing models for financial assets such as equities, bonds, currencies, and derivative securities.
Mathematical Finance with Applications
Mathematical finance plays a vital role in many fields within finance and provides the theories and tools that have been widely used in all areas of finance. Knowledge of mathematics, probability, and statistics is essential to develop finance theories and test their validity through the analysis of empirical, real-world data. For example, mathematics, probability, and statistics could help to develop pricing models for financial assets such as equities, bonds, currencies, and derivative securities.
Technical Analysis And Financial Asset Forecasting: From Simple Tools To Advanced Techniques
Technical analysis is defined as the tracking and prediction of asset price movements using charts and graphs in combination with various mathematical and statistical methods. More precisely, it is the quantitative criteria used in predicting the relative strength of buying and selling forces within a market to determine what to buy, what to sell, and when to execute trades. This book introduces simple technical analysis tools like moving averages and Bollinger bands, and also advanced techniques such as wavelets and empirical mode decomposition. It first discusses some traditional tools in technical analysis, such as trend, trend Line, trend channel, Gann's Theory, moving averages, and Bollinger bands. It then introduces a recent indicator developed for stock market and two recent techniques used in the technical analysis field: wavelets and the empirical mode decomposition in financial time series. The book also discusses the theory to test the performance of the indicators and introduces the MATLAB Financial Toolbox, some of the functions/codes of which are used in our numerical experiments.
Efficiency and Anomalies in Stock Markets
The Efficient Market Hypothesis believes that it is impossible for an investor to outperform the market because all available information is already built into stock prices. However, some anomalies could persist in stock markets while some other anomalies could appear, disappear and re-appear again without any warning. A Special Issue on "Efficiency and Anomalies in Stock Markets" will be devoted to advancements in the theoretical development of market efficiency and anomaly in the Stock Market, as well as applications in Stock Market efficiency and anomalies.
Financial Economics and Econometrics
Financial Economics and Econometrics provides an overview of the core topics in theoretical and empirical finance, with an emphasis on applications and interpreting results. Structured in five parts, the book covers financial data and univariate models; asset returns; interest rates, yields and spreads; volatility and correlation; and corporate finance and policy. Each chapter begins with a theory in financial economics, followed by econometric methodologies which have been used to explore the theory. Next, the chapter presents empirical evidence and discusses seminal papers on the topic. Boxes offer insights on how an idea can be applied to other disciplines such as management, marketing an...
Dawn of Behavioural Finance, 1688
The role of psychology in investment decisions has been amply debated during the past few decades, following the evolution of behavioural finance. This book shows that, although behavioural finance concepts were coined/systemised since the 1980s, their first traces are identified in Joseph de la Vega’s Confusion of Confusions, written in 1688, over 300 years ago. To that end, the book provides the first comprehensive assessment of Confusion of Confusions from the perspective of the behavioural finance paradigm. Offering also a detailed discussion of behavioural finance itself and the historical context of Vega and his time, it demonstrates that Confusion of Confusions constitutes the precursor to behavioural finance. This book should be of interest to finance researchers and students, particularly those focusing on behavioural finance and financial history. The book’s educational value for investors further renders it relevant to regulators and policy makers, who can consider including it in financial education curricula.
Advances in Investment Analysis and Portfolio Management (New Series) Vol．9
Advances in Investment Analysis and Portfolio Management (New Series) is an annual publication designed to disseminate developments in the area of investment analysis and portfolio management. The publication is a forum for statistical and quantitative analyses of issues in security analysis, portfolio management, options, futures, and other related issues. The objective is to promote interaction between academic research in finance, economics, and accounting and applied research in the financial community.
Sustainable Future: Trends, Strategies and Development
The book contains a selection of papers that were presented at the 3rd Conference in Managing Digital Industry, Technology and Entrepreneurship (3rd CoMDITE) with the theme: Sustainable Future: Trends, Strategies and Development. The Millennium Development Goals, continued as Sustainability Development Goals (SDGs), are effective instruments and have, in recent years, brought many positive changes in numerous countries around the world. Most notably, it has fundamentally changed our way of approaching the tangled set of challenges: States today undertake to achieve concrete development goals; transparency and accountability to citizens and the global public has become a matter of course; and...
Artificial Intelligence and Actuarial Science
This book aims to explore how to automate, innovate, design, and deploy emerging technologies in actuarial work transformations for the insurance and finance sector. It examines the role of artificial intelligence with process automation in daily monitoring of solvency, governance, compliance, data processes, etc. It also explores the usage of machine learning, telematics system, AI-enabled claim processing software, Big Data and Algorithms, Explainable AI, and AI-enabled risk management tools in various actuarial processes. This book: • Presents case studies and best practices with real-world examples of successful and unsuccessful actuarial work transformation initiatives and transformat...
