Question: Individual Assignment 1: Does size matter? Evaluating the risk and return of size premiums. The size effect/premium in stock returns is the phenomenon that small-cap

Individual Assignment 1: Does size matter? Evaluating the risk and return of size premiums.

The size effect/premium in stock returns is the phenomenon that small-cap stocks on average outperform large-cap stocks over time. Therefore, the size premium can be inferred by the portfolio return difference between a small-sized and a large-sized portfolio (i.e. small minus big). In this assignment, you will evaluate the performance of the size premium across the globe. Professor Kenneth French is one of the authors in Fama and French's (1993) three-factor model that incorporates a size premium. In his data library, he has shared historical returns for various asset classes and portfolios, including the size premiums. In the Excel file titled Size premiums across regions attached to this assignment on Canvas, you are able to download the monthly size premiums across six regions/countries: 1) Developed 2) Emerging 3) Europe 4) Japan 5) Asia-Pacific Excluding Japan 6) North America

That is, the number in each cell indicates the monthly size premium for that particular country/region. You are also given the global market monthly premium named Global Market. Based on the Excel spreadsheet indicated above, perform the following tasks. You are encouraged to use Excel to perform the analyses. However, your analyses and discussion of findings must be presented as a report in a Word/PDF format. The word limit for the report is 1500 words excluding Executive Summary, Table of Contents, Tables, Figures, and References. 1) Calculate the time-series average returns and standard deviations to the size premiums across the six regions/countries. You should also consider the reward to risk ratios calculated as premium divided by standard deviation. Over the sample period and regions/countries considered, do you think that size matters in investment strategy? (20 marks)

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