12‚ No. 2 (2003)‚ pp No. 2 (1991)‚ pp. 175-190. Fowler‚ Stuart. “Asset Allocation: Too Important to Be Left to Money Managers.” Professional Investor‚ February (1997). and Finance‚ Vol. 14‚ Nos. 2-3 (August 1990)‚ pp. 513-535. ——. “Stein and CAPM Estimators of the Means in Asset Allocation.” International Review of Financial Analysis‚ Vol. 4‚ No. 1 (1995)‚ pp Keraney‚ C.‚ and K. Daly. “The Causes of Stock Market Volatility in Australia.” Applied Financial Economics‚ 8 (1998)‚
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still be far higher than the actual amount. 3. It is also better to use the size of the frame (600‚000 people from the database) since our sample is representative of the 600‚000 people in the database‚ thus we can use the mean of the sample as an estimator for the 600‚000 people in the database. However‚ only 13 people of the 600 sample responded with a yes and a dollar amount‚ thus multiplying the mean of the 13 people who responded with an intent to purchase by the 600.000 people in the database
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International Infrastructure Project Cost Estimating Work Breakdown Paul Hewitt‚ International Project Estimating Limited Introduction Construction Cost Estimating Work Breakdown Structure (WBS) The term WBS has become a common term in all fields related to Cost Engineering including Construction Cost Estimating‚ Scheduling and Project Cost Control. A well defined WBS is the backbone of good Construction Estimating Software and can take several forms including the breakdown of items within an estimate
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Benchmarking Credit ratings September 2013 Project team: Tom Hird Annabel Wilton CEG Asia Pacific 234 George St Sydney NSW 2000 Australia T +61 2 9881 5750 www.ceg-ap.com Table of Contents Executive summary........................................................................................ 1 1 Introduction ............................................................................................ 6 2 SNL Financial dataset ......................................
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ARTICLE IN PRESS Journal of Adolescence xxx (2010) 1–8 Contents lists available at ScienceDirect Journal of Adolescence journal homepage: www.elsevier.com/locate/jado Factors accounting for youth suicide attempt in Hong Kong: A model building Gloria W.Y. Wan a‚ Patrick W.L. Leung b‚ * a b Clinical Psychology Service‚ Hong Kong Sheng Kung Hui Welfare Council‚ 5/F‚ Holy Trinity Bradury Center‚ 139 Ma Tau Chung Road‚ Kowloon‚ Hong Kong‚ China 3/F‚ Sino Building‚ Clinical and Health Psychology
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Standardized description of index numbers for application in generic index computation software modules 1 Photis Stavropoulos1‚ Georges Pongas2‚ Spyros Liapis1‚ George Petrakos1‚ Tonia Ieromnimon1 Agilis S.A. Statistics and Informatics‚ e-mail: Photis.Stavropoulos@agilis-sa.gr‚ Spyros.Liapis@agilis-sa.gr‚ George.Petrakos@agilis-sa.gr‚ Tonia.Ieromnimon@agilis-sa.gr 2 EUROSTAT‚ e-mail: Georges.Pongas@ec.europa.eu Abstract The aim of this paper is to present a scheme for the description of index numbers
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WITH REFERENCE TO THE UK EXPLAIN THE CONCEPT OF THE TERM STRUCTURE OF INTEREST? WHAT INFLUENCE DOES THE BANK OF ENGLAND HAVE OVER THE TERM STRUCTURE AND WHY IS IT IMPORTANT FOR MONETARY POLICY To understand the term structure of interest rate we need to elaborate how interest rates function and how they are determined. Interest rates are a vital tool to all the macro-economic policy objectives of a government such as control of inflation‚ investment as well as employment. Interest rates refer
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Mid-Exam for Statistics 2 for IBA 12 March 2013; duration: two hours It is NOT allowed to use a graphical‚ programmable calculator; only a simple pocket calculator is allowed. Write the answers to the questions on the attached answering form (on pages 7 and 8); only the answers‚ no derivations. (For this midterm‚ only the final answers to each individual question count.) This mid-exam contains 8 pages: 4 pages with information and three exercises‚ 1 page with a few formulae and 2 pages for
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Determinants of Corporate Cash Holdings C. Hobma‚ S. Labitzke‚ M. Munsterhuis‚ L. Zwols March 24‚ 2011 This paper examines what determinants explain corporate cash holdings of 1078 US rms listed on the New York Stock Exchange (NYSE) for the period January 1990 till December 2007. Using regression analysis with panel data we show that our ndings are in line with previous literature. Consistent with the trade o theory‚ we found a signi cant positive relationship between rms’ investment opportunities
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Russia and Kazakhstan (CUBRK) for chosen industries. Those effects are estimated using Gravity Model of Trade (GMT). Log-linerized and exponential specifications of GMT are estimated with the help of OLS and Poisson-Pseudo-Maximum-Likelihood (PPML) estimators. Models include time fixed effects and variables which deal with endogeneity issues. The research data contain large amount of zeros‚ so OLS is estimated mainly for comparison reasons‚ since it was proven to be biased in case of zero trade flows
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