You expect KT industries (KTI) will have earnings per share of $ 6 this year and expect that they will pay out $ 2.25 of these earnings to shareholders in the form of a dividend. KTI's return on new investments is 13% and their equity cost of capital is 15%. The value of a share of KTI's stock is closest to:

After testing its water, a city water department issues a report to the related citizens, noting what chemicals have been identified, their doses, and the estimated risks of exposure at these levels. this report represents a type of

This problem has been solved! see the answercompute and interpret altman's z-scoresfollowing is selected financial information for ebay, for its fiscal years 2005 and 2006.(in millions, except per share data) 2006 2005current assets $ 4,970.59 $ 3,183.24current liabilities 2,518.39 1,484.93total assets 13,494.01 11,788.99total liabilities 2,589.38 1,741.00shares outstanding 1,368.51 1,404.18retained earnings 4,538.35 2,819.64stock price per share 30.07 43.22sales 5,969.74 4,552.40earnings before interest and taxes 1,439.77 1,445.18compute and interpret altman z-scores for the company for both years. (do not round until your final answer; then round your answers to two decimal places.)2006 z-score = answer2005 z-score = answerwhich of the following best describes the company's likelihood to go bankrupt given the z-score in 2006 compared to 2007.the z-score in 2006 is half of the 2005 score. both z-scores are well above the score that represents a healthy company.the z-score in 2006 is double the 2005 score. the z-score has increased sharply, which suggests the company has greatly increased the risk of bankruptcy.the z-score in 2006 is half of the 2005 score. the z-score has decreased sharply, which suggests the company is in financial distress.the z-score in 2006 is double the 2005 score. the z-score has increased sharply, which suggests the company has greatly lowered the risk of bankruptcy.

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?