Abstract: This paper discusses two topics. At first, it uses continuous wavelet (Morlet) transform, coherency, and phase angle analysis to study the effect of mean volatility in OPEC Crude Oil prices, WTI crude oil prices, Brent Crude oil prices and Iran’s crude oil prices on The Iran’s REER. To this end, the monthly data of the variables for years 2003 to 2012 is used. Coherency analysis rev...

A number of reasons have motivated our choice of oil, along with its past and expected future price evolution, as the subject in focus for the present book. A fi rst reason is the importance of oil in the world economy. In the early 2010s, the annual production value of this commodity, when measured at international prices, could be assessed at between $3500 and $4000 billion. World oil exports...

Reliable forecasts of the price of oil are of interest for a wide range of applications. For example, central banks and private sector forecasters view the price of oil as one of the key variables in generating macroeconomic projections and in assessing macroeconomic risks. Of particular interest is the question of the extent to which the price of oil is helpful in predicting recessions. This p...

this paper examines regime shifts in tedpix return and volatility and the effects of positive and negative crude oil shocks and gold price fluctuations on stock market shifts behavior using markov switching egarch model with student’s t-distribution. we detect two episodes of series behavior, one relative to low mean/high variance regime namely bear state and the other to high mean/low variance...

We outline initial concepts for an immune inspired algorithm to evaluate and predict oil price time series data. The proposed solution evolves a short term pool of trackers dynamically, with each member attempting to map trends and anticipate future price movements. Successful trackers feed into a long term memory pool that can generalise across repeating trend patterns. The resulting sequence ...