...Content General Information Convenor and teaching staff Credit Points Prerequisites Corequisites Co-badged status Unit Description 2 3 3 3 3 3 3 3 Learning Outcomes Graduate Capabilities Problem Solving and Research Capability Creative and Innovative Effective Communication Commitment to Continuous Learning Discipline Specific Knowledge and Skills Critical, Analytical and Integrative Thinking Engaged and Ethical Local and Global citizens Capable of Professional and Personal Judgement and Initiative 4 5 5 5 6 6 7 7 8 8 Assessment Tasks Class Test 1 Class Test 2 Group assignment Final Examination 10 10 10 10 11 Unit Schedule Delivery and Resources Policies and Procedures Academic Honesty Grades Grading Appeals and Final Examination Script Viewing Special Consideration Policy Student Support Student Enquiry Service Equity Support IT Help 12 13 14 14 14 14 14 15 15 15 15 Research and Practice 16 Page 2 of 16 General Information Convenor and teaching staff Unit Convenor: Alan Rai Email: alan.rai@mq.edu.au Phone: 9850 1169 Office: E4A 228 Consultation Hours: 1-3pm Monday Lecturer: James McCulloch Email: james.mcculloch@mq.edu.au Consultation Hours: Consultation during tutorials or via email Credit Points 3 Prerequisites ACCG252 or AFIN252 Corequisites N/A Co-badged status This unit is not co-badged. Unit Description The aim of this unit is to prepare students for analytical duties a graduate is expected to carry out in a financial...
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...Opinion Mining Using Econometrics: A Case Study on Reputation Systems Anindya Ghose Panagiotis G. Ipeirotis Arun Sundararajan Department of Information, Operations, and Management Sciences Leonard N. Stern School of Business, New York University {aghose,panos,arun}@stern.nyu.edu Abstract Deriving the polarity and strength of opinions is an important research topic, attracting significant attention over the last few years. In this work, to measure the strength and polarity of an opinion, we consider the economic context in which the opinion is evaluated, instead of using human annotators or linguistic resources. We rely on the fact that text in on-line systems influences the behavior of humans and this effect can be observed using some easy-to-measure economic variables, such as revenues or product prices. By reversing the logic, we infer the semantic orientation and strength of an opinion by tracing the changes in the associated economic variable. In effect, we use econometrics to identify the “economic value of text” and assign a “dollar value” to each opinion phrase, measuring sentiment effectively and without the need for manual labeling. We argue that by interpreting opinions using econometrics, we have the first objective, quantifiable, and contextsensitive evaluation of opinions. We make the discussion concrete by presenting results on the reputation system of Amazon.com. We show that user feedback affects the pricing power of merchants and by measuring their pricing...
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...Financial Econometrics With Eviews Roman Kozhan Download free books at Roman Kozhan Financial Econometrics Download free eBooks at bookboon.com 2 Financial Econometrics – with EViews © 2010 Roman Kozhan & Ventus Publishing ApS ISBN 978-87-7681-427-4 To my wife Nataly Download free eBooks at bookboon.com 3 Contents Financial Econometrics Contents Preface 6 1 1.1 1.2 1.3 1.4 Introduction to EViews 6.0 Workfiles in EViews Objects Eviews Functions Programming in Eviews 7 8 10 18 22 2 2.1 2.2 2.3 Regression Model Introduction Linear Regression Model Nonlinear Regression 34 34 34 52 3 3.1 3.2 3.3 Univariate Time Series: Linear Models Introduction Stationarity and Autocorrelations ARMA processes 54 54 54 59 www.sylvania.com We do not reinvent the wheel we reinvent light. Fascinating lighting offers an infinite spectrum of possibilities: Innovative technologies and new markets provide both opportunities and challenges. An environment in which your expertise is in high demand. Enjoy the supportive working atmosphere within our global group and benefit from international career paths. Implement sustainable ideas in close cooperation with other specialists and contribute to influencing our future. Come and join us in reinventing light every day. Light is OSRAM Download free eBooks at bookboon.com 4 Click on the ad to read more Contents ...
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...GUIDE TO COMPUTER MODELS 2 The Inevitability of Using Models........................................................................3 Mental and Computer Models..............................................................................2 The Importance of Purpose..................................................................................3 Two Kinds of Models: Optimization Versus Simulation and Econometrics.......4 Optimization.............................................................................................4 Limitations of Optimization..........................................................5 When To Use Optimization..........................................................8 Simulation................................................................................................9 Limitations of Simulation.............................................................11 Econometrics............................................................................................13 Limitations of Econometric...
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...BUSINESS SCHOOL Unit of Study Outline Unit Code QBUS5001 Unit Title Quantitative Methods for Business Semester 2, 2013 Pre-requisite Units: None Co-requisite Units: None Prohibited Units: ECMT5001, QBUS5002 Assumed Knowledge and/or Skills: Basic calculus, basic concept of probability and statistics Unit Coordinator: Dr Boris Choy Address: Room 482, Merewether Building(H04), The University of Sydney NSW 2006 Email: boris.choy@sydney.edu.au Phone: 0293512787 Consultation Hours: Mondays 2pm-3pm at Room 482, H04 Class Day(s): Thursdays 6pm-9pm at Merewether Lecture Room 5, H04 Required Text / Resources: 1. Textbook: Selvanathan E.A., Selvanathan, S & Keller, G. (2011) Business Statistics, Australia & New Zealand 5th Edition. CENGAGE Learning. www.cengage.com.au/selvanathan5e 2. Online resources: Blackboard and Aplia 3. Software: MS Excel with Data Analysis Plus add-in This Guide to Unit Learning Content and Assessment MUST be read in conjunction with the Business School Student Administration Manual for information about all processes (sydney.edu.au/business/currentstudents/student_information/student_administration_manual) and the Business School unit of study common policy and implementation information that apply to every unit of study offered by the Business School (http://sydney.edu.au/business/currentstudents/policy). In determining applications and appeals relating to these matters it will be assumed that every student has taken the time to familiarise themselves...
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...Impact of Education on Growth 27.05.2015 Applied Econometrics İpek Tuğrul 15415 İpek Tuğrul 15415 27.05.2015 Term paper: Impact of Education on Growth As a basic theory which is always taught in economics, the effect of education on the economic growth of a country is always positive. In order to further verify this theory, the authors of many books provide examples which complement it. If we go deep into this theory and search for other evidence, we come across different researches done by economists and statisticians who have analyzed the theory to a great extent. In order to differentiate their studies they have done their empirical research on the subject by using different econometric models. Even though the underlying result i.e. derived from their research is the same, yet these models have different comprehensive implications, something which will also be discussed in our review. As a part of our review we have taken four different research paper written by different researchers, which have the same fundamental scope. However, the origins of these researches are subject to geographical changes and this has been done in order to prove our basic rationality of the theory. The critical reviews consist of the methods used by the authors and the way they have tried to analyze the empirical evidence by using econometric models. The first article which we will be reviewing in our...
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...This page intentionally left blank Introductory Econometrics for Finance SECOND EDITION This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. It includes examples and case studies which finance students will recognise and relate to. This new edition builds on the successful data- and problem-driven approach of the first edition, giving students the skills to estimate and interpret models while developing an intuitive grasp of underlying theoretical concepts. Key features: ● Thoroughly revised and updated, including two new chapters on ● ● ● ● ● ● panel data and limited dependent variable models Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models Detailed examples and case studies from finance show students how techniques are applied in real research Sample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret results Gives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practice Covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods Thoroughly class-tested in leading finance schools Chris Brooks is Professor of Finance...
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...ANALYSIS OF MARKET COMPETITION, SWITCHING COSTS AND ITS CONSEQUENCES IN TELECOMMUNICATIONS IN NEPAL NAME: SAROJ POUDEL DEGREE: MASTER OF INFORMATION SYSTEMS/MASTER OF INFORMATION TECHNOLOGY COURSE: 7112ICT RESEARCH METHODS IN INFORMATION TECHNOLOGY INTRODUCTION The economics of switching costs and network effects have achieved a significant amount of popular, as well as professional attention in the last few decades. It is presently defined as the core factor for new Information Technology economy. Switching costs originates, if a consumer demands a product, or its related accessories(hardware or software), of his own purchases to be compatible with each other this creates economies of scope among his purchases from a single supplier. Whereas network effects arise when a user wants his system to be compatible so that s/he can interact or trade with other users, or switch to the same compatible system, which leads to the creation of economies of scope between different incompatible products. Thus these economies of scope impacts the consumer’s buying and switching behavior between various products. The state of lock-in arises when the switching cost is sufficiently high so that the consumer proceeds using the same product rather than switching to the different product. Lock in is the state where the cost of switching exceeds the benefits of switching. Economics of switching costs is the summation of various types of switching costs including: compatibility...
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...This page intentionally left blank Introductory Econometrics for Finance SECOND EDITION This best-selling textbook addresses the need for an introduction to econometrics specifically written for finance students. It includes examples and case studies which finance students will recognise and relate to. This new edition builds on the successful data- and problem-driven approach of the first edition, giving students the skills to estimate and interpret models while developing an intuitive grasp of underlying theoretical concepts. Key features: ● Thoroughly revised and updated, including two new chapters on ● ● ● ● ● ● panel data and limited dependent variable models Problem-solving approach assumes no prior knowledge of econometrics emphasising intuition rather than formulae, giving students the skills and confidence to estimate and interpret models Detailed examples and case studies from finance show students how techniques are applied in real research Sample instructions and output from the popular computer package EViews enable students to implement models themselves and understand how to interpret results Gives advice on planning and executing a project in empirical finance, preparing students for using econometrics in practice Covers important modern topics such as time-series forecasting, volatility modelling, switching models and simulation methods Thoroughly class-tested in leading finance schools Chris Brooks is Professor of Finance at the ICMA Centre, University...
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...to 9,000) ABSTRACT We reviewed the evidence-based literature related to the relative accuracy of alternative methods for forecasting demand. The findings yield conclusions that differ substantially from current practice. For problems where there are insufficient data, where one must rely on judgment. The key with judgment is to impose structure with methods such as surveys of intentions or expectations, judgmental bootstrapping, structured analogies, and simulated interaction. Avoid methods that lack evidence on efficacy such as intuition, unstructured meetings, and focus groups. Given ample data, use quantitative methods including extrapolation, quantitative analogies, rule-based forecasting, and causal methods. Among causal methods, econometric methods are useful given good theory, and few key variables. Index models are useful for selection problems when there are many variables and much knowledge about the situation. Use structured procedures to incorporate managers’ domain knowledge into forecasts from quantitative methods where the knowledge would otherwise be overlooked, but avoid unstructured revisions. Methods for combining forecasts, including prediction markets and Delphi,...
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...Mohammad Zaman English 230 Informative speech Outline Title of Presentation - Social media as a marketing platform – The pros and cons Name of Presenter Description of Business Audience Introduction Facebook has built a reach and target driven engagement platform with a user base that is just phenomenal. For the quarter ending March 2012, the social network – that is available globally in more than 70 languages – reported a monumental 901 million monthly users, an increase of 33% compared to the same period last year. Roughly 80% of these users are based out of the US and Canada. On any given month, averages of 526 million users are active on the website. During March 2012, on average 398 million users were active with Facebook on at least six out of seven days. Further, Facebook is home to more than 125 billion friend connections. Facebook users posted 300 million photos every day and generated 3.2 billion likes and comments per day during the last quarter (Facebook.com, 2012). In fact, Facebook has witnessed extraordinary growth in terms of users accessing it through mobile. Despite the irony that Facebook was late to market with a dedicated mobile app, its 500 million mobile users speak volumes for growth prospects. With access to this wealth of data, Facebook is in a unique position to collaborate with its partners by giving them access to demographic information based on login credentials...
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...Wal-Mart Crushing Mom and Pop Shops Mary Ritter English 122: English Composition II Lauren Higgins July 8, 2013 Wal-Mart Crushing Mom and Pop Shops That one of the paper’s opening quotes is actually from a pro-Wal-Mart article, which goes on to discuss the merits and efficiency enhancements that result, claiming that “in a free market, large suppliers of nearly everything will drive most small suppliers out of business.” Wal-Mart watch, one of the largest Anti-Wal-Mart organizations, features an academic article claiming that in Iowa, Wal-Mart’s expansion has been responsible for widespread closings of ‘mom and pop’ stores, including 555 grocery stores, 298 hardware stores, 293 building suppliers,161 variety shops, 158 women’s stores, and 116 pharmacies. Perhaps because of its size and success, unlike most other firms, Wal-Mart’s ability to open new stores is decided within the political process. State and local economic development authorities, and state courts, in most cases make the final decisions on whether to allow the entry of a specific new Wal-Mart store. These decisions are often influenced by arguments about the harm done to small businesses. For example, in her comments to a local reporter surrounding the city commission’s vote on allowing a new Wal-Mart store, Aberdeen, South Dakota city commissioner Pat Klabo stated “If this were a moral decision, we would have voted right away in favor of the...
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...M Finance Vrije Universiteit Amsterdam - Fac. der Economische Wet. en Bedrijfsk. - M Finance - 2012-2013 Vrije Universiteit Amsterdam - Fac. der Economische Wet. en Bedrijfsk. - M Finance - 2012-2013 I Inhoudsopgave Vak: Institutional Investments and ALM Vak: Valuation and Corporate Governance Vak: Thesis Vak: Asset Pricing Vak: Derivatives and Asset Management Vak: Empirical Finance Vak: Research Project Finance Vak: Financial Markets and Institutions Vak: Private Equity and Behavioral Corporate Finance for Finance Vak: Financial Risk Management (Quantitative Finance) Vak: Real Estate Management Vak: Adv Corporate Finance 4.1 Vak: Valuation and Corporate Governance for Finance Vak: Institutional Investments and ALM for Finance 1 2 3 3 4 6 7 9 10 11 12 13 14 14 Vrije Universiteit Amsterdam - Fac. der Economische Wet. en Bedrijfsk. - M Finance - 2012-2013 II Institutional Investments and ALM Course code Credits Language of tuition Faculty Coordinator Teaching staff Teaching method(s) E_FIN_IIALM () 6.0 English Fac. der Economische Wet. en Bedrijfsk. prof. dr. C.G.E. Boender prof. dr. C.G.E. Boender, prof. dr. T.B.M. Steenkamp Lecture Course objective Achieve advanced knowledge of the investment process of institutional investors, like pension funds and insurers. The main objective is to fully understand the most important theoretical concepts in the institutional investment process and the way these concepts are used in practice. After following the...
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...Holy Grail Strategy Mario Braun @ Bond University October 30th, 2015 Contents Holy Grail Strategy 3 Trading Rules & Indicators 3 Buy & Sell Rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Room for Interpretation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3 Pseudocode . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Buy Rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Sell Rules . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Possible Optimizations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Further Indicators . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6 Backtest & Visual Analysis Basic R-Studio Setup 7 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Load libraries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Setting up knitr . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Chart Theme Settings . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 Define Currency, Instruments, Time zone and other simulation...
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...An Introduction to Matlab for Econometrics John C. Frain TEP Working Paper No. 0110 February 2010 Trinity Economics Papers Department of Economics Trinity College Dublin An Introduction to MATLAB for Econometrics John C. Frain. February 2010 ∗ Abstract This paper is an introduction to MATLAB for econometrics. It describes the MATLAB Desktop, contains a sample MATLAB session showing elementary MATLAB operations, gives details of data input/output, decision and loop structures, elementary plots, describes the LeSage econometrics toolbox and maximum likelihood using the LeSage toolbox. Various worked examples of the use of MATLAB in econometrics are also given. After reading this document the reader should be able to make better use of the MATLAB on-line help and manuals. Contents 1 Introduction 1.1 1.2 Preliminaries . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . The MATLAB Desktop . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1.2.1 1.2.2 1.2.3 1.2.4 1.2.5 1.2.6 1.2.7 1.2.8 1.2.9 ∗ Comments 4 4 6 6 7 8 8 9 9 9 The Command Window . . . . . . . . . . . . . . . . . . . . . . . . The Command History Window . . . . . . . . . . . . . . . . . . . The Start Button . . . . . . . . . . . . . . . . . . . . . . . . . . . . The Edit Debug window . . . . . . . . . . . . . . . . . . . . . . . . The Figure Windows . . . . . . . . . . . . . . . . . . . . . . . . . . The Workspace Browser . . . . . . . . . . . . . . . . . . . . . . . . The...
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