Available online at www.sciencedirect.com Pacific-Basin Finance Journal 16 (2008) 236 – 251 www.elsevier.com/locate/pacfin The impact of corporate governance on corporate performance: Evidence from Japan ☆ Rob Bauer a ‚ Bart Frijns b‚c‚⁎‚ Rogér Otten a‚d ‚ Alireza Tourani-Rad c a b Limburg Institute of Financial Economics‚ Maastricht University‚ The Netherlands Nijmegen School of Management‚ Radboud University Nijmegen‚ The Netherlands c Department of Finance‚ Auckland University
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Optimal Versus Naive Diversification: How Inefficient is the 1/N Portfolio Strategy? Victor DeMiguel London Business School Lorenzo Garlappi University of Texas at Austin Raman Uppal London Business School and CEPR Downloaded from http://rfs.oxfordjournals.org/ at BCV - Research Department on October 26‚ 2011 We evaluate the out-of-sample performance of the sample-based mean-variance model‚ and its extensions designed to reduce estimation error‚ relative to the naive 1/N portfolio. Of the 14
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For the exclusive use of J. Dababneh‚ 2015. 9 -2 1 1 -0 2 5 REV: MARCH 29‚ 2012 DANIEL BERGSTRESSER LAUREN COHEN RANDOLPH COHEN CHRISTOPHER MALLOY AQR’s Momentum Funds (A) In early 2009‚ after significant research and reflection‚ Cliff Asness‚ founder and principal at AQR‚ was considering the launch of three new retail mutual funds that would offer investors exposure to ‘Momentum‚’ a new investment style. While momentum strategies were commonplace among hedge funds‚ the new AQR funds would become
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1. What is a momentum investment strategy? Momentum is the phenomenon that stocks which have performed well in the past will continue to perform well in the future‚ and that stocks which have performed poorly will continue to perform poorly. Therefore a momentum investment strategy is to invest in short term portfolios that have high returns in the past‚ and to short those with low returns over the same period. 2. Analyze these portfolios. By analyzing monthly returns of all 10 portfolios from
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Size and Value Effect based Portfolio Strategies: The ‘size effect’ follows from the findings of Rolf Banz which stated that small stocks have consistently outperformed large stocks since 1926. DFA created “small stock” funds by making a portfolio of stocks whose market capitalization fell below a cut-off set by a certain percentile of all exchange stocks. For e.g.‚ DFA created small stock portfolios such as ‘US Micro Cap’ Portfolio containing stocks whose market cap was below the cut-off set by
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Would you invest in DFA? Yes due to steady returns provided by the company and as investors are generally past performance chasers‚ one has no reason not to invest in DFA. The company was founded on a sound investment style based on its core belief in sound academic research‚ passive fund management. Until almost the end of the 20th century DFA had found a way to make money actively with a passive investment strategy. But looking forward‚ according to me it needs to evolve with the times and
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Dimensional Fund Advisors 2002 Introduction: Dimensional Fund Advisors (DFA) is an investment firm based in Santa Monica‚ California. It was founded in 1981 by David Booth and Rex Sinquefield. It is a different investment firm which think differently and push the frontiers of innovation. The firm had close working relationships with academics such as Eugene Fama and Kenneth French who introduced the Fama & French three factors model. Fama has worked in DFA since very early days‚ now he is
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NBER WORKING PAPER SERIES PROFITABILITY OF MOMENTUM STRATEGIES: AN EVALUATION OF ALTERNATIVE EXPLANATIONS Narasimhan Jegadeesh Sheridan Titman Working Paper 7159 http://www.nber.org/papers/w7 159 NATIONAL BUREAU OF ECONOMIC RESEARCH 1050 Massachusetts Avenue Cambridge‚ MA 02138 June 1999 This paper has benefited from the excellent research assistance of Fei Zou and helpful comments from the participants of finance workshops at Indiana University and the University of Texas. All opinions expressed
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HEC Paris Financial Markets Spring 2012 Final Exam “Cheat Sheet” 0. Basic Statistics (a) Consider an n-outcome probability space with probabilities p1 ‚ p2 ‚ . . . ‚ pn . Consider two discrete random variables X and Y with outcomes (X1 ‚ X2 ‚ . . . ‚ Xn ) and (Y1 ‚ Y2 ‚ . . . ‚ Yn ). 2 The we have the following formulas for means (µX ‚ µY )‚ variance (σX )‚ standard deviation (σX )‚ covariance (σX‚Y )‚ and correlation (ρX‚Y ) µX = EX = E(X) = p1 X1 + p2 X2 + · · · + pn Xn µY = EY = E(Y ) =
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Executive summary Market efficiency tests include weak‚ semi-strong and strong three forms. They assume that financial markets are "informationally efficient"‚ or that prices of trading assets‚ already reflect all known information and therefore are unbiased in the sense that they reflect the collective beliefs of all investors about future prospects. The weak form test is based on the past information and public available information for semi-strong while strong form covers not only the public
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