Quantitative methods

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  • CFA Level 1 Schweser Notes 2014 - Book 1 Ethical and Professional Standards and Quantitative Methods.The following material is a review of the Ethical and Professional Standards and Quantitative Methods principles designed to address the learning outcome statements set forth by CFA institute.

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  • Quantitative Methods for Business provides an understanding of quantitative business techniques. As the sub-title, The A–Z of QM suggests, the book is an accessible guide to the use of a wide variety of quantitative methods that have important and varied business applications. A range of techniques are discussed and demonstrated using worked examples, all set in business contexts. There are ‘road test’ sections where real uses of the techniques are described.

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  • C H A P T E R 1 Setting off. Chapter objectives This chapter will help you to: ■ assess the importance businesses attach to quantitative method.s ■ make full use of this book. ■ apply arithmetical procedures. ■ use the technology: calculators and computer software.

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  • This much-needed book, from a selection of top international experts, fills a gap by providing a manual of applied quantitative financial analysis. It focuses on advanced empirical methods for modelling financial markets in the context of practical financial applications.Data, software and techniques specifically aligned to trading and investment will enable the reader to implement and interpret quantitative methodologies covering various models.

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  • Currently I'm attending in a preparing course. And there are exams. I did well, got 85% in Ethics and 100% in Quantitative methods. However I think the scores are somehow misleading, I still don't feel so confident in any of these 2 fields. The book is really useful, specially in the field of quantitative methods. If you're going to take the test and you have enough time, I recommend reading this book instead of guide books such as Schweser Note.

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  • Members of CFA Institute [including Chartered Financial Analyst® (CFA®) charterholders] and candidates for the CFA designation (“Members and Candidates”) must:1 Act with integrity, competence, diligence, respect, and in an ethical manner wit

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  • Ethical and Professional Standards, Quantitative Methods, Economics, Financial Reporting and Analysis, Corporate Finance, Portfolio Management, Securities Markets and Equity Investments,... As the main contents of the ebook "CFA 2016 Schweser Secret Sauce". Invite you to consult.

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  • The first edition of this text was written in the early 1990s. Since then, the field of clinical research methods has continued to develop rapidly, and this second edition has been extensively updated to reflect these developments. We have also tried to make the whole book more user friendly, both in layout and in content. All chapters now have summaries and boxes highlighting the key points, and we have provided many more illustrative examples. The biggest area of change is in our treatment of qualitative methods.

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  • Thank you for rrusting Kaplan Schweser ro help you reach your goals. We are all very pleased to be able to help you prepare for the Level II CFA Exam. In this introduction, I want to explain the resources included with the SchweserNotes, suggest how you can best use Schweser materials to prepare for the exam, and direct you toward other educational resources you will find helpful as you study for the exaro. Besides the SchweserNotes themselves, there are many educational resources available at Schweser.com.

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  • The curriculum for each exam level is organized into 18 study sessions, where each study session includes assigned readings, learning outcome statements (LOS), and problem sets that demonstrate practical application and reinforce understanding of the concepts presented in the readings. Learn more about how the curriculum is developed.

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  • Lecture Quantiative methods for bussiness - Chapter 1 introduction: Body of knowledge; problem solving and decision making; quantitative analysis and decision making; quantitative analysis; models of cost, revenue, and profit; quantitative methods in practice.

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  • The book is divided into four main parts: key issues in researching language learning/teaching, data collection, data analysis and writing up research. Both qualitative and quantitative methodologies are discussed, alongside popular mixed-methods approaches, such as triangulated studies, thus covering many of the methods commonly employed in the field.

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  • Introduction to Quantitative Research Methods is a student-friendly introduction to quantitative research methods and basic statistics. It uses a detective theme throughout the text and in multimedia courseware to show how quantitative methods have been used to solve real-life problems. The book focuses on principles and techniques that are appropriate to introductory level courses in media, psychology and sociology. Examples and illustrations are drawn from historical and contemporary research in the social sciences. ...

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  • Advances in Quantitative Analysis of Finance and Accounting is an annual publication designed to disseminate developments in the quantitative analysis of finance and accounting. The publication is a forum for statistical and quantitative analyses of issues in finance and accounting as well as applications of quantitative methods to problems in financial management, financial accounting, and businessmanagement.The objective is to promote interaction between academic research in finance and accounting and applied research in the financial community and the accounting profession....

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  • C H A P T E R 4 Filling up – fuelling quantitative analysis Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ understand key statistical terms distinguish between primary and secondary data recognize different types of data arrange data using basic tabulation and frequency distributions use the technology: arrange data in EXCEL, MINITAB and SPSS.

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  • C H A P T E R 18 Going off-road – managing quantitative research for projects and dissertations Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ plan quantitative research work identify data requirements for a project gather and use secondary data design and implement questionnaire research present your results effectively

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  • This book presents and develops major numerical methods currently used for solving problems arising in quantitative finance. Our presentation splits into two parts. Part I is methodological, and offers a comprehensive toolkit on numerical methods and algorithms. This includes Monte Carlo simulation, numerical schemes for partial differential equations, stochastic optimization in discrete time, copula functions, transform-based methods and quadrature techniques. Part II is practical, and features a number of self-contained cases.

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  • C H A P T E R 7 Two-way traffic – summarizing and representing relationships between two variables Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ explore links between quantitative variables using bivariate analysis measure association between quantitative variables using Pearson’s product moment correlation coefficient and the coefficient of determination quantify association in ordinal data using Spearman’s rank correlation coefficient represent the connection between two quantitative variables using simple linear regression analysis use the technology...

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  • C H A P T E R 8 Counting the cost – summarizing money variables over time Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ employ simple and aggregate index numbers to measure price changes over time work out weighted aggregate price indices: Laspeyre and Paasche indices adjust figures for the effects of inflation using price indices apply methods of investment appraisal: accounting rate of return, payback period,

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  • C H A P T E R 5 Good visibility – pictorial presentation of data Chapter objectives This chapter will help you to: ■ ■ ■ ■ ■ ■ illustrate qualitative data using pictographs, bar charts and pie charts portray quantitative data using histograms, cumulative frequency charts and stem and leaf displays present bivariate quantitative data using scatter diagrams display time series data using time series charts use the technology:

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