Alice and Jane form Osprey Corporation. Alice transfers property (basis of $25,000 and value of $200,000) for 50 shares in Osprey Corporation. Jane transfers property (basis of $50,000 and value of $165,000) and agrees to serve as manager of Osprey for one year; in return, Jane receives 50 shares in Osprey. The value of Jane's services to Osprey is $35,000.
A. What gain or income do Alice and Jane recognize on the exchange?
B. What is Osprey Corporation’s basis in the property transferred by Alice and Jane? How does Osprey treat the value of the services that Jane renders?

Choose the best term for each definitionexpense, liability, monetary asset, statement of financial position, tangible asset, net worth, market value, investment asset, income, assetitems of monetary value a person or household ownsmoney spentmoney receivedfinancial assets purchased with the hope that they will generate income and appreciate in value to make it possible to sell at a higher price in the futurea debt or obligation owed to othersthe amount you could realistically sell an asset forassets that can be quickly and easily converted into casha measure of financial wealth and indicates the monetary value of all possessions that a person or household owns, minus the total amounts owed to othersa financial statement that describes an individual or family's financial condition on a specified date by showing assets, liabilities, and net worthpersonal property that was purchased to create a lifestyle or improve your life

True tomato inc. makes organic ketchup. to promote its products, this firm decided to make bottles in the shape of tomatoes. to accomplish this, true tomato worked with its bottle manufacture to create a set of unique molds for its bottles. which of the following specialized assets does this example demonstrate? (a) site specificity (b) research specificity (c) physical-asset specificity (d) human-asset specificity

Using a cps-sample of 7,440 individuals, you estimate the following regression: = 20.91 - 2.61 x female where female is a binary variable that takes on the value of 1 for females and is 0 otherwise. the standard error on the coefficient on female is 0.25. the 95% confidence interval for the gender wage gap, or the amount that females earn less, is: a) [-3.10, -2.12] b) [18.30, 23.52] c) [-3.02, -2.20] d) [-1.96, -1.64]