Q4 - OE_Strengths What do you see as Southwestern Energy’s particular strengths as an investment? "Exposure to natural gas prices. Exposure to the commodity price. Runway and liquidity position would be another one. Specifically‚ cash balance. Large cash balance." Q5 - OE_Weaknesses What do you see as Southwestern Energy’s particular weaknesses as an investment? "The number one weakness is the balance sheet. They have too much debt. The capital structure is too complicated. There’s too many different
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Forecasting Methods Forecasting demand is not an easy task. The market is constantly changing and it makes the product demand difficult to predict. Therefore‚ there is not such as perfect product forecast of what customers will need in the future. However‚ there are several methods that help attenuating the uncertainty of forecasting demand. Since‚ the forecast methods or techniques differ from one another; the objective is to compare and contrast several forecasting methods‚ and how they are
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DEMAND FORECASTING Demand forecasting is the process of predicting future average sales on the basis of historical data samples and market intelligence. The volatility of demand from an average level is supplied from the safety inventory. Any forecast is likely to be wrong‚ so the focus should be on understanding the range of potential forecast errors and the level of safety inventory that will cater for peak demand. An important additional calculation is forecast bias. This is the cumulative
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–Michael Kors Content: What is Fashion forecasting? Elements of Fashion Forecasting The Direction of Fashion Change The drivers of fashion change The Fashion Forecasting Process Forecasting fashion in the Indian scenario Fashion Forecasting Period Importance of Fashion Forecasting Role of Merchandiser in Fashion Forecasting How fashion forecasting is relevant in a new sample making? What is Fashion forecasting? Fashion forecasting is the prediction of mood‚ behavior and buying
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DEMAND FORECASTING Demand forecasting is the activity of estimating the quantity of a product or service that consumers will purchase. Demand forecasting involves techniques including both informal methods‚ such as educated guesses‚ and quantitative methods‚ such as the use of historical sales data or current data from test markets. Demand forecasting may be used in making pricing decisions‚ in assessing future capacity requirements‚ or in making decisions on whether to enter a new market. Knowledge
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Southwestern Ohio Steel Limited Partnership (SOSLP) was considered to be one of the industry leaders in technology and service. SOSLP sells to approximately 500 customers‚ twenty five of which produces about two-thirds of the company’s sales. Dan Wilson‚ vice president of sales at SOSLP‚ had recently received a letter from Matworks requesting SOSLP to provide sponsorship for an upcoming Matworks annual sales meeting. Dan needed to decide if providing sponsorship was feasible keeping in mind that
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Justifying the War in Afghanistan Before arguing whether or not the war in Afghanistan was a just or unjust war‚ I am going to give some history about what was happening before 911 or talks of war even began. The Taliban was the government in Afghanistan from 1996 until 2001. The Taliban means "Students of Islamic Knowledge Movement". They came into power during the civil war in Afghanistan‚ and were detested from the world community because of their actions. They held about 90% of the country’s
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Framework for Implementation of Free and Open University Courseware in Kenya. Patrick Kinoti*‚ Adrian Kamotho Njenga* *Lecturer‚ Kenya Methodist University Corresponding email: Patrick.Kinoti@kemu.ac.ke Abstract Free and Open University Courseware (FOCW) refers to university course materials which may include lecture notes‚ presentation videos‚ syllabi and course outlines that are shared for free on the web. The concept of free sharing of university courseware is continuously gaining popularity
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trends and cycles 2 Part2. Dummy Variables Model 3 Linear trend model 3 Quadratic trend model 5 Cubic trend model 7 Part 3. Decomposition and Box-Jenkins ARIMA approaches 8 First difference: 10 a. Create an ARIMA (4‚ 1‚ 0) model 10 b. Create an ARIMA (0‚ 1‚ 4) model 11 c. Create an ARIMA (4‚ 1‚ 4) 11 d. Model overfitting 12 Second difference 13 Forecast based on ARIMA (0‚ 1‚ 4) model 13 Return the seasonal factors for forecasting 14 Part 4. Discussion of different methods
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Forecasting can be generally regarded as a method or techniques for approximating several forthcoming facets of businesses or other operations. Forecasting can be achieved by using several methods. An example of that is a wholesale business that has been operational for 15 years‚ that business would be able to forecast the business’s capacity of the sales in the approaching year derived from its proficiency over the past 15 years of being in business. Forecasting method uses the historical data of
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