The copyright market presents a unique challenge to, making it a difficult asset class to analyze and predict. Traditional financial modeling techniques often prove inadequate with the rapid changes and developments inherent in this dynamic environment. To successfully forecast the complexities of copyright markets, a quantitatively driven approach