country produces only meat and potatoes in the quantities and prices listed below. Use 2011 as the base year. Year Price of Potatoes Quantity of Potatoes Price of Meat Quantity of Meat 2011 $2.00 10 $20 6 2012 $2.50 15 $22 7 2013 $3.50 20 $25 8 In 2012, GDP deflator is

Employees at a library check out books to patrons. books have an isbn and a name. the library sometimes has multiple copies of the same book. books have one or more authors. a patron is an individual who has an active (non-expired) library card. for each library card, we store the person's first and last names and their address. for each employee, we store their employee id, current salary, first and last name and their address. we also store the employee id of their current manager. each time we check out a book to a patron we need to store the date of the transaction, the employee who checked out the book to the patron, and the library card of the patron. some employees have library cards. if an employee patron turns in a book late, the fine that they pay is a percentage of their salary. some employees are authors who have library cards—they are allowed to check out as many books as they like.

On june 3, teal company sold to chester company merchandise having a sale price of $2,600 with terms of 2/10, n/60, f.o.b. shipping point. an invoice totaling $91, terms n/30, was received by chester on june 8 from john booth transport service for the freight cost. on june 12, the company received a check for the balance due from chester company. prepare journal entries on the teal company books to record all the events noted above under each of the following bases. (1) sales and receivables are entered at gross selling price. (2) sales and receivables are entered at net of cash discounts.

Monthly price data for mdltx and ekwax from yahoo finance is contained in the excel spreadsheet for this exercise. there are 37 months of price data for the period from september 2009 to september 2012. (note: these prices already incorporate dividend payments.) the 36 monthly returns for each fund are also provided. calculate average (arithmetic) monthly return and standard deviation for each fund. you can use the excel functions average, stdev to derive these stats. annualize these statistics. use the correl function in excel to derive the correlation coefficient between the two sets of returns. (annual correlation is the same as monthly correlation. hence, no need to annualize this stat.) using the annualized statistics derived in step 1, compute the expected return and standard deviation for portfolios containing from 0% to 100% mdltx (and 100% to 0% ekwax) by 10% increments. graph the resulting portfolios. based on your analysis, is there any potential benefit to diversification across these two funds? explain. of the 11 portfolios you graphed, which are efficient?