Statistical tools for forecasting purpose started using smooth exponential methods in 1950s.
These methods were modified depending upon the trend followed in the data sets, based …

Accurate prediction of time series data is crucial for informed decision-making and economic
development. However, predicting noisy time series data is a challenging task due to their …

Onion prices exhibit very high instability/volatility in all the selected markets of Delhi. The
present study aimed to forecast the prices of onion for three markets of Delhi, viz. Azadpur …

The world is facing shortage of food supply due to lack of integration and utilization of
technology in agriculture. Huge information available online about cultivation using drones …

Price forecasting of agricultural commodities plays an important role in efficient planning and
formulation of executive decisions. In this study, an attempt has been made to apply …

The production of high value commodities in India is increasing day by day which helps in
develo** the Indian agriculture by producing the nutritive products and generate more …

Market integration in many agricultural commodities had been extensively studied for the
insight it provides into the functioning of such markets, thus giving valuable information …

The high prices of pulses continue to be the pain point for both consumers and
policymakers. In India, the wholesale price index (WPI) is the main measure of inflation. WPI …

Despite the high demand for sesame for both local and industrial consumption both at home
and abroad, this potential money-spinning cash crop commodity is almost an orphan crop in …

Volatility is an important characteristic of time series. If the volatility of a series at any time
epoch is affected by its distant counterpart, then it is known as long memory in volatility. The …