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    Business Forecasting

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    Business Forecasting Contents 1.0 Executive summary…………………………………………………………………………………4 2.0 Introduction……………………………………………………………………………………………5 3.0 Question 1……………………………………………………………………………………………...6 4.1 a) Time series plot…………………………………………………………………………6 4.2 b) Exponential smoothing methods……………………………………………….8 4.3 c) 8 months Forecasted period……………………………………………………11 4.4 d) Forecasting report……………………………………………………………………13 4.0 Question 2……………………………………………………………………………………………

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    Tragic Fall Classic

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    Tragic Fall Classic Winning a World Series is the most coveted prize for any team in major league baseball. The “Fall Classic” of 1919 represented the power of greed. This series displayed a form of greed that may never be reached again in any professional sport. Most athletes possess the admirable greed of winning and succeeding. In 1919‚ six players of the Chicago White Sox showed a form of greed that rarely occurs in such a respectable game. What most professional baseball players never

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    Nascar History

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    NASCAR history can trace its roots back to 1794. That’s a century before the invention of the automobile‚ but it was the year of the Whiskey Rebellion. This was a protest of a federal tax on whiskey by frontier farmers. Instead of being subject to the tax‚ many frontiersmen built secret stills‚ manufactured‚ and delivered their product in secret. Most people do not know that this is the true origin of NASCAR history. During the Prohibition era of the 1920’s and early 30’s‚ the undercover business

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    the main ingredients necessary for implementation of this forecasting procedure. Linear trend forecasting is used to impose a line of best fit to time series historical data (Harvey‚ 1989; McGuigan et al.‚ 2011). It is a simplistic forecasting technique that can be used to predict demand (McGuigan et al.‚ 2011)‚ and is an example of a time series forecasting model. * CYCLICAL COMPONENT In weekly or monthly data‚ the cyclical component describes any regular fluctuations. It is a non-seasonal

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    Television since its start has developed a diverse set of viewers‚ however the cast was not. When television first came out in the 1940’s is was uncommon to see a person of color‚ the cast was just about completely White. There were few minorities on television and when they were the character was highly stereotypical. Yet PBS special “Breaking Barriers” explored how television developed into what it is today‚ a diverse depiction of America. In the PBS special “Breaking Barriers “they establishing

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    Brs Mdm3 Tif Ch11

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    the slope is 0.75. What is the forecast for period 8? A) 13.714 B) 14.714 C) 15.714 D) 16.714 E) 15.75 Answer: B Page Ref: 495 Topic: Trend and Seasonality in Time-Series Data Difficulty: Moderate AACSB: Analytic Skills 2) Which of the following is considered to be a category of forecasting models? A) Qualitative B) Time-series C) Causal models D) both A and B E) A‚ B‚ and C Answer: E Page Ref: 476 Topic: Types of Forecasts Difficulty: Easy 3) Which of the following is NOT a qualitative method

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    Chicago Black Sox Scandal The 1919 World Series is home to the most notorious scandal in baseball history. Eight players from the Chicago White Sox were accused of throwing the series against the Cincinnati Reds. Details of the scandal and the extent to which each man was involved have always been unclear. It was‚ however‚ front-page news across the country and‚ despite being acquitted of criminal charges‚ the players were banned from professional baseball for life. If anything can be said in

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    Lecture 05 1

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    Models Financial Time Series‚ Spring 2015 MQF at Rutgers University Heng Sun February 24‚ 2015 1/46 Today’s Topics Vector time series basics VARMA(p‚q) Cointegration References Ruey Tsay‚ Analysis of Financial Time Series‚ Chp 8 Ruey Tsay‚ Multivariate Time Series Analysis 2/46 Vector Time Series Each observation at time t  r1t  r2t  rt =  .  .. is a column vector in Rk    T  = [r1t ‚ r2t ‚ · · · ‚ rkt ]  rkt Example of vectors of different time series. Multiple stocks and ETFs

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    Introduction

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    Introduction Examples • Why forecast? • Why understand uncertainty of forecast? • What information to use in forecast? STAT 443: Forecasting Example: Accidental deaths Reza Ramezan Introduction Examples • Many examples are time series– forecast what happens in future • Example: monthly number of accidental deaths in USA- 1973-79 • Look at structure of data STAT 443: Forecasting Example: Accidental deaths

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    enhance their performance. Despite these corruptions the game has still managed to stay America’s most loved sport. Although cheating in baseball was around since the beginning one of the most remembered scandals in baseball history was the World Series of 1919. This scandal is most famously known as the Black Sox Scandal. The Black Sox Scandal is probably one of the biggest examples that baseball is corrupt. This scandal is an example of baseball players who broke the law and felt that what they

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