Lacey studied at Florida Atlantic University (FAU) for her bachelor's in business administration (BBA). Along the way, she took several keyboarding courses and types over 130 words per minute.

In her coursework, she also studied hotel & resort operations as well as, specifically, an external course on the Best Use of ACME Property Management System.

In her post-graduation job at an upscale hotel, she is recognized by her HR Director and General Manager as having the best guest satisfaction rates among her peers for check in while SIMULTANEOUSLY having the fastest-processing time for a new guest checking in of anyone in the hotel.

We can now say that Lacey has an for her position.

Astock is selling today for $50 per share. at the end of the year, it pays a dividend of $3 per share and sells for $58. a. what is the total rate of return on the stock? (enter your answer as a whole percent.) b. what are the dividend yield and percentage capital gain? (enter your answers as a whole percent.) c. now suppose the year-end stock price after the dividend is paid is $42. what are the dividend yield and percentage capital gain in this case? (negative amounts should be indicated by a minus sign. enter your answers as a whole percent.)

Bond x is noncallable and has 20 years to maturity, a 7% annual coupon, and a $1,000 par value. your required return on bond x is 10%; if you buy it, you plan to hold it for 5 years. you (and the market) have expectations that in 5 years, the yield to maturity on a 15-year bond with similar risk will be 9.5%. how much should you be willing to pay for bond x today? (hint: you will need to know how much the bond will be worth at the end of 5 years.) do not round intermediate calculations. round your answer to the nearest cent.

The monthly sales for yazici​ batteries, inc., were as​ follows: month jan feb mar apr may jun jul aug sept oct nov dec sales 19 20 17 12 11 18 16 17 19 22 21 24 this exercise contains only parts b and c. ​b) the forecast for the next month​ (jan) using the naive method​ = nothing sales ​(round your response to a whole​ number). the forecast for the next period​ (jan) using a​ 3-month moving average approach​ = nothing sales ​(round your response to two decimal​ places). the forecast for the next period​ (jan) using a​ 6-month weighted average with weights of 0.10​, 0.10​, 0.10​, 0.20​, 0.20​, and 0.30​, where the heaviest weights are applied to the most recent month​ = nothing sales ​(round your response to one decimal​ place). using exponential smoothing with alpha ​= 0.40 and a september forecast of 21.00​, the forecast for the next period​ (jan) = nothing sales ​(round your response to two decimal​ places). using a method of trend​ projection, the forecast for the next month​ (jan) = nothing sales ​(round your response to two decimal​ places). ​c) the method that can be used for making a forecast for the month of march is ▾ a 3-month moving average a 6-month weighted moving average exponential smoothing the naive method a trend projection .