Time Series+finance

The field of financial econometrics has exploded over the last decade. This book represents an integration of theory, methods, and examples using the S-PLUS statistical modeling language and the S+FinMetrics module to facilitate the practice of financial econometrics. This is the first book to show the power of S-PLUS for the analysis of time series data. It is written for researchers and practitioners in the finance industry, academic researchers in economics and finance, and advanced MBA and graduate students in economics and finance. Readers are assumed to have a basic knowledge of S-PLUS and a solid grounding in basic statistics and time series concepts.

Work with time series and all sorts of time related data in R - Forecasting, Time Series Analysis, Predictive Analytics

Use R to work on real world time series analysis and forecasting examples. Applied data science with R.

Learn about a comprehensive framework of Time Series Analysis and Forecasting with MS Excel

Fundamentals of time series analysis

Unlocking Financial Insights with Python: ARIMA, GARCH, and Multivariate Time Series Models

An Advanced Deep Dive Into Time Series Tokens And Neural Networks