Economic Memo 3 Beauregard Textile Company Case 1) If Beauregard Textile Company dropped its price on T-30 from $4/yard to $3/yard‚ its profitability will increase‚ assuming Calhoun & Pritchard maintains its current pricing at $3/yard. The relevant costs for this analysis are Direct Labor‚ Material‚ Material Spoilage‚ and Direct Department expense. Other expenses are sunk costs and have been allocated to T 30 costs in the case data.. Some of these have been done by following accounting rules
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Explain the aggregate supply in the short run. In the short-run‚ the aggregate supply curve is upward sloping. There are two main reasons why the quantity supplied increases as the price rises: 1. In the short-run‚ the nominal wage rate is fixed. As a result‚ an increasing price indicates higher profits that justify the expansion of output. 2. An alternate model explains that the AS curve increases because some nominal input prices are fixed in the short-run and as output rises‚ more production
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EXTERNAL ANALYSIS I. Aggregate Market Factors Aggregate factors are important indicators of the attractiveness of a product category. A. Size The market size is defined through the market volume and the market potential. The market volume exhibits the totality of all realized sales volume of a special market. The volume is therefore dependent on the quantity of consumers and their ordinary demand
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Introduction Over the past five years or so‚ house prices in the UK have been constantly changing. At times‚ house prices being on a rapid increase and at other times falling. This leads to a possibility of negative house equity. As per Sloman and Garratt: “negative house equity is whereby the outstanding value of a mortgage is greater than the value of property against which it is secured.” (Text Book) Supply and demand are the main determinants of house prices‚ as the equilibrium of house prices
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Estimate the qualified product or market potential It has two methods to estimate the qualified product or market potential the first is NPQ formula and the second is market build-up approach. 1. NPQ formula It uses an equation as following; Q = n × q × p Q = total market demand n = number of buyers in the market q = quantity purchased by an average buyer per year p = price of an average unit With the data form ecommerce-magazine1‚ we know that at the present there are 28% or 18 million
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Discussion Questions for the Aluminum Case Group: 1. Conduct a S-C-P analysis for the Aluminum industry. Is primary aluminum production industry an attractive(profitable) industry? Why and why not. 2. Using information in the case and the data from the attached spreadsheet‚ construct the industry supply curve for primary aluminum. Please note the marginal costs are used to derive the supply curve and be careful as to what cost items can be counted as “marginal” costs. DO NOT use regressions
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I. DEMAND FOR AUDIT SERVICES & THE PROFESSION * ISQ1 – failure to conduct audit II. CLIENT ACCEPTANCE * Importance of an auditing firm having a formalized client acceptance & continuance process * Audit Quality * Assumed Business Risk * 4 principle factors you would consider in arriving at decision to accept a client [QC 10‚ AU 315] * Integrity of Client Management * Likelihood of financial statement misrepresentation increases when the client’s management
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Total Vehicle Sales Forecast Final Project Alexander Hardt Dr. Holmes Economic Forecasting 309-01W Summer II 8/6/2013 Executive Summary For this project I created a twelve month forecast for Total Vehicle Sales in the United States using four different methods. These four techniques are called exponential smoothing‚ decomposition‚ ARIMA‚ and multiple regression. To do so I picked one dependent (Y) variable along with two independent (X) variables and collected 80 monthly observations
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ACC 235: Auditing EXHIBIT 4.53 Dunder-Mifflin‚ Inc.‚ Prior Year (Audited)‚ Forecast Current Year‚ Current Year Actual (Unaudited) Prior year Forecast Current Year Revenue and Expense: Sales (net) $9‚000‚000 $9‚900‚000 $9‚720‚000 Cost of Goods Sold 6‚296‚000 6‚926‚000 7‚000‚000 Gross Margin 2‚704‚000 2‚974‚000 2‚720‚000 General Expense 2‚044‚000 2‚000‚000 2‚003‚000 Depreciation 300‚000 334‚000 334‚000 Operating Income $360‚000 $640‚000 $383‚000 Interest
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Why do forecasts fail? How do you recommend improving the results? What tools would you use? These are very important questions that you should ask yourself when making‚ monitoring‚ and updating a forecast. The answers to these questions will help you make a more accurate forecast or help you update or fix a forecast that may already be in place. Forecasts in their own nature are expected to have some type of error but with the correct techniques it can be measured and monitored. Some factors
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