Jeff, a 52% owner of an S corporation, has a stock basis of zero at the beginning of the year. Jeff's basis in a $10,000 loan made to the corporation and evidenced by a corporate note has been reduced to zero by pass-through losses. During the year, his net share of the corporate taxable income is $11,000. At the end of the year, Jeff receives a $15,000 cash distribution. Discuss the tax effects of the distribution.

Mae jong corp. issues $1,000,000 of 10% bonds payable which may be converted into 10,000 shares of $2 par value ordinary shares. the market rate of interest on similar bonds is 12%. interest is payable annually on december 31, and the bonds were issued for total proceeds of $1,000,000. in accounting for these bonds, mae jong corp. will: (a) first assign a value to the equity component, then determine the liability component. (b) assign no value to the equity component since the conversion privilege is not separable from the bond.(c) first assign a value to the liability component based on the face amount of the bond.(d) use the “with-and-without” method to value the compound instrument.

He moto hotel opened for business on may 1, 2017. here is its trial balance before adjustment on may 31. moto hotel trial balance may 31, 2017 debit credit cash $ 2,283 supplies 2,600 prepaid insurance 1,800 land 14,783 buildings 72,400 equipment 16,800 accounts payable $ 4,483 unearned rent revenue 3,300 mortgage payable 38,400 common stock 59,783 rent revenue 9,000 salaries and wages expense 3,000 utilities expense 800 advertising expense 500 $114,966 $114,966 other data: 1. insurance expires at the rate of $360 per month. 2. a count of supplies shows $1,050 of unused supplies on may 31. 3. (a) annual depreciation is $2,760 on the building. (b) annual depreciation is $2,160 on equipment. 4. the mortgage interest rate is 5%. (the mortgage was taken out on may 1.) 5. unearned rent of $2,580 has been earned. 6. salaries of $810 are accrued and unpaid at may 31

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?