Stock prices are one of the most volatile economic variables and forecasting stock prices and their returns has proved very challenging, if not impossible. In this paper, we apply a battery of linear and nonlinear models to forecast the returns in nine international stock exchanges for the...

The financial markets stylized facts, volatility and its relationship with returns tested empirically in Tehran Stock Exchange (TSE). ARMA- ARCH type models including two symmetric conditional hetroscedastic models; ARMA (1, 1) - ARCH (1) and ARMA (1, 1) - GARCH (1, 1) and two asymmetric...

In this article the relationship between market return and volatility is examined by applying out-of-sample methodology and ARCH (M) class models in the Tehran Stock Exchange (TSE) and international stock exchanges. The results are inconsistent with portfolio theory implications in NASDAQ, ISE...

Investors in stock markets are concerned about the inflation effect on their returns. However, the impact varies based on investment horizons. Since investors have different attitudes and diverse investment horizons, studying the relationship between inflation and stock returns in different time...