Investing in Mutual Funds when Returns are Predictable DORON AVRAMOV AND RUSS WERMERS* First draft: May 26, 2004 This Revision: April 21, 2005 *Doron Avramov is from the University of Maryland, e.mail:davramov@rhsmith.umd.edu, Tel: 301405-0400, and Russ Wermers is from the University of Maryland, e.mail: rwermers@rhsmith.umd.edu, Tel: 301-405-0572. We thank seminar participants at Copenhagen Business School, George Washington University, Inquire-UK and Inquire-Europe Joint Spring Conference, Institute
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IGHOFOSE FELIX OGHENEROBOH 20FBNKRN1114 RESEARCH METHODOLOGY IMPACT OF DIVIDEND POLICY ON SHARE PRICE: A CROSS SECTIONAL STUDY OF COMMERCIAL BANK LISTED IN NIGERIAN STOCK EXCHANGE SUBMITTED TO PROF. NIRMALYA B BISWAS ABSTRACT Dividend decision is a vital financial decision any company must make a side from financing decision and investment decision. Ordinary shareholders who are the owners of the company by contributing the capital to run the business are entitled to get returns from
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Statistics is considered art and science of collecting, analyzing, presenting, and interpreting data (McClave, Benson, & Sincich, 2011). Four scales of measurement are available for obtaining data on a exacting variable: nominal, ordinal, interval, and ratio (Lind, Marchal, & Wathen, 2011). The scale of measurement for a variable is nominal when the data are labels or names used to identify an attribute of an element (McClave, Benson, & Sincich, 2011). The scale is ordinal if the data have the
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A Review and Synthesis of “Cost Stickiness” Literature Mahfuja Malik School of Management Boston University Email: mahfuja@bu.edu November, 2012 1 A Review and Synthesis of “Cost Stickiness” Literature Abstract Traditional cost accounting holds the assumption that cost changes proportionately with activity. Anderson et al. (2003) show that cost increases more when activity rises than decreases less when activity falls by an equivalent amount, a behavior that they refer to as
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American Finance Association Limited Arbitrage in Equity Markets Author(s): Mark Mitchell, Todd Pulvino, Erik Stafford Source: The Journal of Finance, Vol. 57, No. 2 (Apr., 2002), pp. 551-584 Published by: Blackwell Publishing for the American Finance Association Stable URL: http://www.jstor.org/stable/2697750 Accessed: 08/01/2010 15:26 Your use of the JSTOR archive indicates your acceptance of JSTOR's Terms and Conditions of Use, available at http://www.jstor.org/page/info/about/policies/terms
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Analysis of Factors Affecting Restaurant Businesses Course Name: Principles of Marketing Course ID: MKT 201 Section: 0001 Date of Submission: August 13, 2012 ------------------------------------------------- Prepared By: 1. NusratJahan ID: 10204101 Serial: 22 2. RahnumaAkram Sabah ID:10204043 Serial:14 3. AbantiSaha ID:10204080 Serial:18 4. RatulRaihan ID: 5. Nazir Ahmed Zihad ID:10204036 Serial:12 -------------------------------------------------
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ASSET ALLOCATION 25 DEPTH AND BREADTH OF OUTREACH 27 EFFICIENCY 28 PRODUCTIVITY 29 QUALITY OF THE PORTFOLIO 31 ANALYSIS OF NUMBER OF ACTIVE BORROWERS 33 PROFITABILITY AND SUSTAINABILITY 35 CONCLUSION 36 REFERENCES 36 LIST OF TABLES Table 1 Table of Comparision 12 Table 2 Comparison of Debt Equity Ratio 25 Table 3 Debt Equity Ratio 26 Table 4 Comparison of Depth and Breadth of MFIs for the year 2012 with 2010 27 Table 5 Comparison of Depth and Breadth
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LABOR MARKET INSTITUTIONS AND WAGE INEQUALITY WINFRIED KOENIGER, MARCO LEONARDI, and LUCA NUNZIATA* The authors investigate how labor market institutions such as unemployment insurance, unions, firing regulations, and minimum wages have affected the evolution of wage inequality among male workers. Results of estimations using data on institutions in eleven OECD countries indicate that changes in labor market institutions can account for much of the change in wage inequality between 1973 and 1998
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Statistics Introduction Data analysis is done to convert the raw data into meaningful information. Statistics is all about this data analysis. Before actually working on data analysis in real world, it is important that the basic knowledge is possessed by everybody involved in this process. The following paper seeks to provide basic knowledge in some specific areas of statistical data analysis. Descriptive statistics As the name suggests, descriptive statistics means analysis of data to describe or summarize
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John’s wort extract, 900 milligrams per day (mg/d) for 4 weeks, increased to 1200 mg/d in the absence of an adequate response thereafter, or a placebo for 8 weeks. The response variable was the change on the HAM-D over the treatment period. After analysis of the data, it was concluded that St. John’s wort was not effective for treatment of major depression. Source: Richard C. Shelton, MD, et al. “Effectiveness of St. John’s Wort in Major Depression,” Journal of the American Medical Association 285:1978–1986
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