India is the largest producer of cotton in the world. For proper planning and designing of policies related to cotton, robust forecast of future production is utmost necessary. In this study, an ...

A procedure is presented to facilitate the use of a bivariate time series model for forecasting hog prices. Detection of causality from the innovations of an ARIMA-filtered sows farrowing series to ...

Using historical data and regression analysis has its limitations in business forecasting. For example, a significant correlation between the independent and dependent variable does not ...

Learn how ARIMA models use time series data for accurate short-term forecasting. Discover its pros, cons, and essential tips ...

Regression analysis is a quantitative tool that is easy to use and can provide valuable information on financial analysis and forecasting.

Time series forecasts are used to predict a future value or a classification at a particular point in time. Here’s a brief overview of their common uses and how they are developed.