Investments
Investments
11th Edition
ISBN: 9781259277177
Author: Zvi Bodie Professor, Alex Kane, Alan J. Marcus Professor
Publisher: McGraw-Hill Education
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Chapter 10, Problem 3PS
Summary Introduction

To explain: Reason about the small number of factors in APT model.

Introduction: Arbitrage pricing model establish a relationship between risk of the market and expected return of the investment. This theory is applicable when there are fluctuations of the prices in the market.

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Consider the following gasoline sales time series. If needed, round your answers to two decimal digits.   Week Sales (1,000s of gallons) 1 17 2 21 3 19 4 23 5 18 6 16 7 20 8 18 9 22 10 20 11 15 12 22       (a) Show the exponential smoothing forecasts using α = 0.1, and α = 0.2.     ExponentialSmoothing Week α = 0.1 α = 0.2 13     (b) Applying the MSE measure of forecast accuracy, would you prefer a smoothing constant of α = 0.1 or α = 0.2 for the gasoline sales time series?   An   smoothing constant provides a more accurate forecast, with an overall MSE of  . (c) Are the results the same if you apply MAE as the measure of accuracy?   An   smoothing constant provides a more accurate forecast, with an overall MAE of  . (d) What are the results if MAPE is used?   An   smoothing constant provides a more accurate forecast, with an overall MAPE of  .
After many sunset viewings at SUNY Brockport, Amanda dreams of owning a waterfront home on Lake Ontario. She finds her perfect house listed at $425,000. Leveraging the negotiation skills she developed at school, she persuades the seller to drop the price to $405,000. What would be her annual payment if she opts for a 30-year mortgage from Five Star Bank with an interest rate of 14.95% and no down payment? a- $25,938 b- $26,196 c- $24,500 d- $27,000
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