CFA Program Curriculum 2018 Level I

CFA Program Curriculum 2018 Level I PDF Author: CFA Institute
Publisher: John Wiley & Sons
ISBN: 1119396646
Category : Business & Economics
Languages : en
Pages : 7457

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Book Description
Clear, concise instruction for all CFA Level I concepts and competencies for the 2018 exam The same official curricula that CFA Program candidates receive with program registration is now publicly available for purchase. CFA Program Curriculum 2018 Level I, Volumes 1-6 provides the complete Level I Curriculum for the 2018 exam, delivering the Candidate Body of Knowledge (CBOK) with expert instruction on all 10 topic areas of the CFA Program. Fundamental concepts are explained in-depth with a heavily visual style, while cases and examples demonstrate how concepts apply in real-world scenarios. Coverage includes ethical and professional standards, quantitative analysis, economics, financial reporting and analysis, corporate finance, equities, fixed income, derivatives, alternative investments, and portfolio management, all organized into individual sessions with clearly defined Learning Outcome Statements. Charts, graphs, figures, diagrams, and financial statements illustrate concepts to facilitate retention, and practice questions provide the opportunity to gauge your understanding while reinforcing important concepts. Learning Outcome Statement checklists guide readers to important concepts to derive from the readings Embedded case studies and examples throughout demonstrate practical application of concepts Figures, diagrams, and additional commentary make difficult concepts accessible Practice problems support learning and retention CFA Institute promotes the highest standards of ethics, education, and professional excellence among investment professionals. The CFA Program Curriculum guides you through the breadth of knowledge required to uphold these standards.The three levels of the program build on each other. Level I provides foundational knowledge and teaches the use of investment tools; Level II focuses on application of concepts and analysis, particularly in the valuation of assets; and Level III builds toward synthesis across topics with an emphasis on portfolio management.

Equity Smart Beta and Factor Investing for Practitioners

Equity Smart Beta and Factor Investing for Practitioners PDF Author: Khalid Ghayur
Publisher: John Wiley & Sons
ISBN: 1119583454
Category : Business & Economics
Languages : en
Pages : 492

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Book Description
A guide to the popular and fast growing investment opportunities of smart beta Equity Smart Beta and Factor Investing for Practitioners offers a hands-on guide to the popular investment opportunities of smart beta, which is one of the fastest growing areas within the global equity asset class. This well-balanced book is written in accessible and understandable terms and contains an in-depth manual filled with analytical information and new ideas. The authors—noted experts in the field—include a definition of smart beta investing and detail its history. They also explore the distinguishing characteristics of smart beta strategies, offer an overview of factor investing, and reveal the implementation of smart beta approaches. Comprehensive in scope, the book contains helpful examples of applications, real-life illustrative case studies, and contributions from leading and respected practitioners that explain how they approach smart beta investing. This important book: Contains an in-depth exploration of smart beta investing Includes the information written in clear and accessible language Presents helpful case studies, illustrative examples, and contributions from leading and respected experts Offers a must have resource coauthored by the Head of Goldman Sachs’ equity smart beta business Written for investors who want to tap into the opportunities that smart beta offers, Equity Smart Beta and Factor Investing for Practitioners is the comprehensive resource for learning how to create more efficient overall equity portfolios.

Artificial Intelligence in Economics and Finance Theories

Artificial Intelligence in Economics and Finance Theories PDF Author: Tankiso Moloi
Publisher: Springer Nature
ISBN: 3030429628
Category : Computers
Languages : en
Pages : 131

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Book Description
As Artificial Intelligence (AI) seizes all aspects of human life, there is a fundamental shift in the way in which humans are thinking of and doing things. Ordinarily, humans have relied on economics and finance theories to make sense of, and predict concepts such as comparative advantage, long run economic growth, lack or distortion of information and failures, role of labour as a factor of production and the decision making process for the purpose of allocating resources among other theories. Of interest though is that literature has not attempted to utilize these advances in technology in order to modernize economic and finance theories that are fundamental in the decision making process for the purpose of allocating scarce resources among other things. With the simulated intelligence in machines, which allows machines to act like humans and to some extent even anticipate events better than humans, thanks to their ability to handle massive data sets, this book will use artificial intelligence to explain what these economic and finance theories mean in the context of the agent wanting to make a decision. The main feature of finance and economic theories is that they try to eliminate the effects of uncertainties by attempting to bring the future to the present. The fundamentals of this statement is deeply rooted in risk and risk management. In behavioural sciences, economics as a discipline has always provided a well-established foundation for understanding uncertainties and what this means for decision making. Finance and economics have done this through different models which attempt to predict the future. On its part, risk management attempts to hedge or mitigate these uncertainties in order for “the planner” to reach the favourable outcome. This book focuses on how AI is to redefine certain important economic and financial theories that are specifically used for the purpose of eliminating uncertainties so as to allow agents to make informed decisions. In effect, certain aspects of finance and economic theories cannot be understood in their entirety without the incorporation of AI.

Empirical Asset Pricing

Empirical Asset Pricing PDF Author: Wayne Ferson
Publisher: MIT Press
ISBN: 0262039370
Category : Business & Economics
Languages : en
Pages : 497

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Book Description
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.

Financial Market Bubbles and Crashes, Second Edition

Financial Market Bubbles and Crashes, Second Edition PDF Author: Harold L. Vogel
Publisher: Springer
ISBN: 3319715283
Category : Business & Economics
Languages : en
Pages : 508

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Book Description
Economists broadly define financial asset price bubbles as episodes in which prices rise with notable rapidity and depart from historically established asset valuation multiples and relationships. Financial economists have for decades attempted to study and interpret bubbles through the prisms of rational expectations, efficient markets, and equilibrium, arbitrage, and capital asset pricing models, but they have not made much if any progress toward a consistent and reliable theory that explains how and why bubbles (and crashes) evolve and can also be defined, measured, and compared. This book develops a new and different approach that is based on the central notion that bubbles and crashes reflect urgent short-side rationing, which means that, as such extreme conditions unfold, considerations of quantities owned or not owned begin to displace considerations of price.

Risk and Return in Asian Emerging Markets

Risk and Return in Asian Emerging Markets PDF Author: N. Cakici
Publisher: Springer
ISBN: 1137359072
Category : Business & Economics
Languages : en
Pages : 347

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Book Description
Risk and Return in Asian Emerging Markets offers readers a firm insight into the risk and return characteristics of leading Asian emerging market participants by comparing and contrasting behavioral model variables with predictive forecasting methods.

Quantitative Corporate Finance

Quantitative Corporate Finance PDF Author: John B. Guerard Jr.
Publisher: Springer Nature
ISBN: 3030435474
Category : Business & Economics
Languages : en
Pages : 619

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Book Description
This textbook presents a comprehensive treatment of the legal arrangement of the corporation, the instruments and institutions through which capital can be raised, the management of the flow of funds through the individual firm, and the methods of dividing the risks and returns among the various contributors of funds. Now in its second edition, the book covers a wide range of topics in corporate finance, from time series modeling and regression analysis to multi-factor risk models and the Capital Asset Pricing Model. Guerard, Gultekin and Saxena build significantly on the first edition of the text, but retain the core chapters on cornerstone topics such as mergers and acquisitions, regulatory environments, bankruptcy and various other foundational concepts of corporate finance. New to the second edition are examinations of APT portfolio selection and time series modeling and forecasting through SAS, SCA and OxMetrics programming, FactSet fundamental data templates. This is intended to be a graduate-level textbook, and could be used as a primary text in upper level MBA and Financial Engineering courses, as well as a supplementary text for graduate courses in financial data analysis and financial investments.

Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes)

Handbook Of Financial Econometrics, Mathematics, Statistics, And Machine Learning (In 4 Volumes) PDF Author: Cheng Few Lee
Publisher: World Scientific
ISBN: 9811202400
Category : Business & Economics
Languages : en
Pages : 5053

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Book Description
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.

Location Strategies and Value Creation of International Mergers and Acquisitions

Location Strategies and Value Creation of International Mergers and Acquisitions PDF Author: Ludivine Chalençon
Publisher: John Wiley & Sons
ISBN: 1119340934
Category : Business & Economics
Languages : en
Pages : 284

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Book Description
This title enriches both areas of research, finance and international management to analyze the choice of location and value creation in mergers and acquisitions. Our research answers the following question: What are the determinants of the location and value creation in mergers and acquisitions?

Ebook: Principles of Corporate Finance

Ebook: Principles of Corporate Finance PDF Author: BREALEY
Publisher: McGraw Hill
ISBN: 0077144732
Category : Business & Economics
Languages : en
Pages : 590

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Book Description
Ebook: Principles of Corporate Finance