Provide an overview consisting of a brief description of the chosen company, your chosen product or service, and annual sales. Describe three macroeconomic variables in the United States that impact the supply and demand of your chosen product or service. Using graphs in Excel, interpret the trends of the three selected macroeconomic variables for the past three years. Based on the trends of the three macroeconomic variables, assess how the trends will impact the supply and demand of your chosen product or service. Include all calculations in an Excel file.

QUESTION

This paper will talk about Apple Iphones

The paper needs to include a thesis statement

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Provide an overview consisting of a brief description of the chosen company, your chosen product or service, and annual sales. Describe three macroeconomic variables in the United States that impact the supply and demand of your chosen product or service. Using graphs in Excel, interpret the trends of the three selected macroeconomic variables for the past three years. Based on the trends of the three macroeconomic variables, assess how the trends will impact the supply and demand of your chosen product or service. Include all calculations in an Excel file.
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This milestone, which covers Sections I and II of Final Project Part II, is a paper structured as follows:

Provide an overview consisting of a brief description of the chosen company, your chosen product or service, and annual sales.
Describe three macroeconomic variables in the United States that impact the supply and demand of your chosen product or service.
Using graphs in Excel, interpret the trends of the three selected macroeconomic variables for the past three years.
Based on the trends of the three macroeconomic variables, assess how the trends will impact the supply and demand of your chosen product or service. Include all calculations in an Excel file.

ANSWER

The Impact of Macroeconomic Variables on Apple iPhones: Trends and Forecasting

Thesis Statement: This paper examines the relationship between macroeconomic variables in the United States and the supply and demand of Apple iPhones. By analyzing the trends of three selected macroeconomic variables over the past three years and their potential impact on the iPhone market, this study aims to provide valuable insights into the market dynamics and assist in forecasting future demand patterns for Apple’s flagship product.

Overview

Apple Inc. is a multinational technology company renowned for its innovation in consumer electronics, software, and online services. The chosen product of focus in this paper is Apple’s iconic iPhone. With its sleek design, advanced features, and robust ecosystem, the iPhone has become a dominant player in the global smartphone market. Apple’s annual sales consistently reflect the iPhone’s popularity, making it a critical revenue driver for the company.

Macroeconomic Variables Impacting iPhone Supply and Demand

The supply and demand of iPhones are influenced by various macroeconomic variables in the United States. Three significant variables to be examined are:

Gross Domestic Product (GDP): GDP represents the total value of goods and services produced within a country (Gross Domestic Product: An Economy’s All, 2019). As the economy expands or contracts, GDP fluctuations can have a direct impact on consumer spending power, influencing the demand for iPhones.

Unemployment Rate: The unemployment rate indicates the proportion of the labor force that is jobless and actively seeking employment. Higher unemployment rates typically lead to decreased consumer confidence and disposable income, potentially dampening iPhone demand.

Consumer Price Index (CPI): The CPI measures changes in the average prices paid by consumers for a basket of goods and services. Inflationary pressures, reflected in the CPI, can affect purchasing power and consumer spending habits, thus affecting the demand for iPhones.

Interpreting Macroeconomic Trends

To understand the relationship between the selected macroeconomic variables and iPhone demand, we analyze their trends over the past three years. Utilizing Excel graphs, we present visual representations and provide insights into the following:

GDP Trends: By plotting annual GDP growth rates, we can assess how economic expansions or contractions correlate with iPhone sales. Understanding these patterns will shed light on the potential impact of future GDP trends on iPhone demand.

Unemployment Rate Trends: Examining the unemployment rate over time will help identify periods of economic stability or volatility and their effect on the purchasing power of consumers, thus influencing iPhone demand (Finance & Development, 2012).

CPI Trends: Analyzing the changes in the CPI over the past three years will allow us to evaluate the impact of inflationary pressures on consumer purchasing power and its implications for the demand of iPhones.

Forecasting the Impact on iPhone Supply and Demand

Based on the observed trends of the three macroeconomic variables, we will assess their potential impact on the supply and demand of iPhones (Pai et al., 2018). By considering the relationships between GDP growth, unemployment rates, CPI changes, and iPhone demand, we can forecast how future macroeconomic trends might shape the market for Apple’s flagship product. All calculations and data analysis will be provided in an accompanying Excel file, ensuring transparency and accuracy.

In conclusion, this paper aims to provide a comprehensive analysis of the relationship between macroeconomic variables and the supply and demand of Apple iPhones in the United States. By examining the trends of GDP, unemployment rates, and CPI over the past three years and forecasting their impact on the iPhone market, this study will offer valuable insights for industry professionals, policymakers, and researchers alike, assisting in strategic decision-making and market forecasting.

References

Finance & Development. (2012, February 1). Finance & Development | F&D. https://www.imf.org/external/pubs/ft/fandd/basics/unemploy.htm 

Gross domestic product: an economy’s all. (2019, June 15). IMF. https://www.imf.org/en/Publications/fandd/issues/Series/Back-to-Basics/gross-domestic-product-GDP 

Pai, P., Hong, L., & Lin, K. (2018). Using internet search trends and historical trading data for predicting stock markets by the least squares support vector regression model. Computational Intelligence and Neuroscience, 2018, 1–15. https://doi.org/10.1155/2018/6305246 

 

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