---

This paper examines the calendar anomalies in daily return of the Tehran stock market. ARCH and GARCH models are employed to capture the wide range of different calendar anomalies exist in the literature. This study finds the evidence of strong Esfand and Mehr effects in the stock return. In addition, the results show that the stock market return has decreased with the lapses of time. After identifying and removing the calendar effects from daily return, BDS statistic is used to test the presence of any remaining non-linearity in the residuals before employing the GARCH models. The BDS test shows that there is a high probability of the dependency between residuals in spite of removing calendar anomalies. The results confirm that both the ARCH and GARCH models have considerable success in modeling dependencies. Finally, the importance of calendar effects in return forecasting is tested. The conclusion is that the inclusion of calendar effects improves the forecast accuracy. However, simple regression which includes calendar effects has better performance than the GARCH (1, 1) models.

---

This research examines the effect of monetary policies on unemployment under inflation uncertainty in Iran using the annual data during 1974-2011. The basic model is selected according to the simultaneous equilibrium of dynamic aggregate demand and supply. In addition, inflation uncertainty is calculated using the GARCH family models including ARCH, GARCH and EGARCH. The generated data from a novel model is considered as a proxy for inflation uncertainty, and Generalized Method of Moments (GMM) is used to estimate this model. The estimation results show that inflation uncertainty reduces the unemployment rate, i.e. the effect of monetary policies on unemployment is decreased under inflation uncertainty, and there is a significant and positive relationship between unemployment and inflation rates. Henceforth, an increase in inflation uncertainty leads to an increase in unemployment rate, which is in line with Friedman's theory in this field

---

The real effective exchange rate and its uncertainty are among the most important macroeconomic variables that affect different economic sectors from various aspects. Since the changes in exchange rate have no identical impacts on all sectors of the economy and regarding considerable importance of industrial development on economic development, this study examines and evaluates the effects of real effective of exchange rate and its uncertainty on the value-added of industrial subsectors based on the two-digit codes ISIC-REV4 using Panel data and Engel-Granger methods during 1979-2014. The results show that the real effective exchange rate is of different effects on various subsectors of the industry while its uncertainty has no effect on sub-sectors’ value-added.  Consequently, there is no single exchange rate policy in industrial sector due to different foreign exchange requirements in its subsectors.