Time Series in Economics and Finance

Discover the intricate world of time series analysis with Time Series in Economics and Finance by Tomas Cipra. Published in 2021 by Springer Nature Switzerland AG, this comprehensive paperback edition spans 410 pages, making it an essential resource for students and professionals alike. The book delves into a variety of critical topics, including decomposition methods and autocorrelation techniques for univariate time series. Additionally, it explores advanced concepts such as volatility and duration modeling specific to financial time series, as well as multivariate time series methods like cointegration and recursive state space modeling. Whether you are looking to enhance your understanding of economic trends or improve your financial forecasting skills, this book provides valuable insights and methodologies to navigate the complexities of time series data.