portfolio with a long positon in S&P 500 index and a short position in FTSE 100 index. To calculate the time-varying hedge ratio, we use four methods, rolling window, EWMA, GARCH model and B-S model. Firstly, we explain the methods we used, including the assumptions, formulas and implications. Also, we implement the methods in the Excel to get the value of hedge ratios. Finally, we show the advantages and disadvantages of every method by comparing between every two methods. We evaluate the methods
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problems in following orders: a–c–e–b-d. a) The yearly expected return: First, find the weekly return for each stock by using the formula of: rᵢ=p₁-p₀p₀ Second, for each of the stock, add all of the weekly return and then divide by the number of sample (from Oct 27, 2005 until Oct 19, 2015) to get the average of weekly return. rw=1mnί=1mnrᵢ (where mn is 521) Third, multiply the average of weekly return with 52 weeks to get the yearly average. ry=mrw (where m is 52) b) The standard deviation
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have conducted tax amnesty programs since 1982, there has been little analysis of them to date, and almost none based on actual amnesty results.' In this paper we examine individual participation in am- nesties, both from the point of view of what economic analysis would lead us to expect and on the basis of evidence from actual amnesty programs. The empirical analy- sis is based on detailed information gath- ered on a random sample of taxpayers participating in the Michigan amnesty, and on fragmentary
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Caffeine was isolated from tea by a sequence of solvent extractions of hot water and dichloromethane. The solid- liquid extraction, which involved hot water, removed the caffeine from the tea leaf and left behind cellulose and soluble organics. The lab actually began with the liquid- liquid extraction that involved dichloromethane and tea, and partitioned components in the layers based off their solubility in the two solvents. Since caffeine is moderately polar, it dissolves in hot water but more
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Financial Institutions Center Derivatives and Corporate Risk Management: Participation and Volume Decisions in the Insurance Industry by J. David Cummins Richard D. Phillips Stephen D. Smith 98-19 THE WHARTON FINANCIAL INSTITUTIONS CENTER The Wharton Financial Institutions Center provides a multi-disciplinary research approach to the problems and opportunities facing the financial services industry in its search for competitive excellence. The Center's research focuses on the issues related
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Carbohydrates Prepared for: Dr. Ahmed Baijou Date: 05/05/2011 Course: Advanced Quantitative Methods Multiple Regression Model Analysis Spring 2011 Table of Contents Proposal 3 Introduction 4 Literature Review 5 Data Analysis 7 Descriptive Analysis 7 Model Building 7 Application of the Multiple Regression Analysis 12 Conclusion and Recommendations 17 References 18 Appendix 19 Proposal Nowadays, people tend to be
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An Analysis of Accounting Frauds and the Timing of Analyst Coverage Decisions and Recommendation Revisions: Evidence From the US Susan M. Young* Associate Professor Fordham University New York, NY 10019 syoung16@fordham.edu Emma Peng Assistant Professor Fordham University New York, NY 10019 ypeng@fordham.edu *Corresponding author We thank workshop participants at the AAA annual meeting, City University of New York, CUNY Baruch College Emory University, and the editor for their helpful
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check the top two box data tap data analysis at right data analysis plus Statistical terms What is statistics? A way to get info from data. descriptive statistics: organize and summarize data inferential statistics: process of making a: prediction estimate decision About a population based on sample data Population: all items of interest Sample: a subset of a population Population: all items of interest Measures of reliability: built into statistical processes (p5) two kinds: confidence
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Consultants, LLC Subject: Statistical Analysis Results for Nevada Gaming, Incorporated Thank you for trusting Statistical Consultants, LLC to provide you with a summary for the data you provided in regards to your gaming empire. The purpose of this report is to explain the results of our research. I. Introduction Your factory in Jean, Nevada has 800 employees. Your personnel department selected 36 employees at random and provided their data to us. The sample size is an important feature of any empirical
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no specific age-bracket, anyone who is sturdy or little but oversized is included in the target market, and the class for this range is medium to upper-middle class. Later the research will be analyzed with the help of SPSS and tabulation. After analysis, data will be concluded so that Outfitters can use this study to launch its plus size western wear for women collection. There is an increase in the demand of western wear apparel because Pakistani market is moving towards western styles, but when
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