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You are a benchmark timer who in backtests can add 50 basis points of risk-adjusted value added. You forecast 14 percent benchmark volatility, the recent average, but unfortunately benchmark volatility turns out to be 17 percent. How much value can you add, given this misestimation of benchmark volatility?
How could you mitigate the negative size bias induced by the long-only constraint? How would you attempt to look as good as possible by this measure? Would this always coincide with the best interests of the manager?
What is the expected return on the market portfolio and what would be the expected return on a zero-beta stock?
What institutional realities might make this statement true? Describe the steps involved in forming the arbitrage transaction in both circumstances.
Calculate expected returns for the three stocks using just the MKT risk factor. Assume a risk-free rate of 4.5%. Calculate the expected returns for the three stocks using all three risk factors and the same 4.5% risk-free rate.
AT&T Project Management Center of Excellence: Communications Leader Promotes Project Management Leadership - In your opinion, were the goals of the ATT Project well constructed? Please explain your reasoning.
part 1 defination 1 globalization2 neoliberalism3 geopolitics4 evil empire5 hegemonypart 2topics and include1
If the only available gasoline futures contracts call for the delivery of 42,000 gallons and mature in either two or four months, describe the nature of the basis risk involved in your hedge.
You are told that a company retains 80 percent of its earnings about 8 percent a year versus an average growth rate of 6 percent for all firms. Discuss whether you would consider this a growth company.
How do their common-size financial statements differ? Examine their trends in ROE using DuPont analysis. Comment on the differences and/or similarities you find.
Examine the recent (past six months) price charts for Walgreens, Intel, and Merck (or any three firms of your choosing). What channels, buy/sell points, and patterns do you see in them?
Compute daily percent changes for 25 trading days. Compute the correlations among these indexes. Rank the correlations from high to low.
What were the results when industry risk was examined during successive time periods? Discuss the implication of these results for industry analysis.
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