Objective: The present study aims atinvestigating the behavior of realized volatility for high-frequency data of Tehran Stock Index from April28th, 2012 to August 8th, 2018. Methods: Three different types of HAR models including of HAR-RV-CJ, HAR-RV and HAR-RVJ were used to analyze the Realized Volatility. Results: The obtained results of three diverse models revealed that the estimated Reali...

This paper sets up a statistical framework for modeling realized volatility (RV) using Dynamic Conditional Score (DCS) model. It first shows how, dataset on stock indices, preliminary analysis of RV, based fitting linear Gaussian model to its logarithm, suggests the use two component dynamic specification. also indicates departure from normality, weekly pattern in data and presence heteroscedas...

We forecast the realized and median volatility of agricultural commodities using variants heterogeneous autoregressive (HAR) model. obtain tick-by-tick data on five widely-traded (corn, rough rice, soybeans, sugar, wheat) from CME/ICE. Real out-of-sample forecasts are produced for between 1 66 days ahead. Our in-sample analysis shows that HAR model which decompose measures into their continuous...