Ying pays $300 of investment interest related to her investments. The interest is not directly related to any particular investment owned by Ying. She owns $40,000 worth of municipal bonds that pay her $2,400 in interest and $20,000 worth of bonds that pay her taxable interest of $2,000. Ying allocates the investment fees based on the fair market value of the securities. The allocation between the nondeductible portion of the fee and the deductible portion is:

The school cafeteria can make pizza for approximately $0.30 a slice. the cost of kitchen use and cafeteria staff runs about $200 per day. the pizza den nearby will deliver whole pizzas for $9.00 each. the cafeteria staff cuts the pizza into eight slices and serves them in the usual cafeteria line. with no cooking duties, the staff can be reduced by half, for a fixed cost of $75 per day. should the school cafeteria make or buy its pizzas?

The east asiatic company (eac), a danish company with subsidiaries throughout asia, has been funding its bangkok subsidiary primarily with u.s. dollar debt because of the cost and availability of dollar capital as opposed to thai baht-denominated (b) debt. the treasurer of eac-thailand is considering a 1-year bank loan for $247,000.the current spot rate is b32.03 /$, and the dollar-based interest is 6.78% for the 1-year period. 1-year loans are 12.04% in baht.a. assuming expected inflation rates of 4.3 % and 1.24% in thailand and the united states, respectively, for the coming year, according to purchase power parity, what would the effective cost of funds be in thai baht terms? b. if eac's foreign exchange advisers believe strongly that the thai government wants to push the value of the baht down against the dollar by5% over the coming year (to promote its export competitiveness in dollar markets), what might the effective cost of funds end up being in baht terms? c. if eac could borrow thai baht at 13% per annum, would this be cheaper than either part (a) or part (b) above?

Asupermarket has been experiencing long lines during peak periods of the day. the problem is noticeably worse on certain days of the week, and the peak periods are sometimes different according to the day of the week. there are usually enough workers on the job to open all cash registers. the problem is knowing when to call some of the workers stocking shelves up to the front to work the checkout counters. how might decision models the supermarket? what data would be needed to develop these models?