Hide Assignment Information Instructions Introduction: In this case study, we will explore the complex world of forecasting stock prices $($TSLA opening price as of $26$August$)$ and its implications for effective portfolio management. The ability to accurately predict stock prices is a crucial skill for investment professionals, as it directly influences the construction and management of investment portfolios. This case study aims to provide students with a hands$-$on experience in forecasting stock prices and applying the forecasts to optimize a portfolio's risk and return characteristics. Objectives: The primary objectives of this case study are as follows: To understand different methods and techniques used for forecasting stock prices. To analyze the challenges and limitations associated with stock price forecasting. To explore the impact of stock price forecasts on portfolio management decisions. To evaluate the trade$-$offs between risk and return when incorporating forecasts into portfolio optimization. To apply quantitative tools and techniques for portfolio construction and rebalancing. Case Study Scenario: You are a portfolio manager at a prestigious asset management firm. Your firm manages a diverse set of client portfolios, ranging from conservative to aggressive risk profiles. The firm is exploring ways to enhance portfolio performance through the integration of stock price forecasts. You have been tasked with conducting a detailed analysis of stock price forecasting methods and their potential impact on portfolio management. Tasks: You are required to perform the following tasks: Research and evaluate different stock price forecasting methods, such as fundamental analysis, technical analysis, and machine learning$-$based approaches. Select a specific stock $($TSLA$)$ from a given sector and historical data for analysis. Apply and compare at least two different forecasting methods to predict the stock's future prices over a defined time horizon. Assess the accuracy and reliability of the forecasts using appropriate metrics $($e$.$g$.,$ Mean Absolute Error, Root Mean Squared Error, etc.$).$ Construct a hypothetical portfolio containing the selected stock and other assets. Optimize the portfolio's asset allocation using different scenarios: one without incorporating forecasts and another with forecasts as an input, considering risk and return objectives. Compare and analyze the outcomes of the two portfolio optimization scenarios, considering risk$-$adjusted performance, diversification benefits, and potential improvements in returns. Prepare a comprehensive report outlining the forecasting methods used, the forecasted stock prices, the portfolio construction process, and the comparative analysis of the portfolio outcomes. Conclusion: Through this case study, students will gain valuable insights into the challenges and benefits of incorporating stock price forecasts into portfolio management decisions. They will have the opportunity to apply forecasting techniques, assess their accuracy, and understand how forecasts can impact the risk and return characteristics of an investment portfolio. Additionally, students will develop skills in quantitative analysis, optimization, and decision$-$making, which are essential for success in the field of investment analysis and portfolio management.