Nonlinear oil price dynamics: a tale of heterogeneous speculators?

While some of the recent surge of oil prices can be attributed to robust global demand at a time of tight production capacities, commentators occasionally also blame the impact of speculators for part of the price pressure. We propose an empirical oil market model with heterogeneous speculators. Whereas trend-extrapolating chartists may tend to destabilize the market, fundamentalists exercise a stabilizing effect on the price dynamics. Using monthly data for WTI oil prices, our STR-GARCH estimates indicate that oil price cycles may indeed emerge due to the nonlinear interplay between different trader types. --oil price dynamics,endogenous bubbles,STR GARCH model

Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models

This paper investigates whether structural breaks and long memory are relevant features in modeling and forecasting the conditional volatility of oil spot and futures prices using three GARCH-type models, i.e., linear GARCH, GARCH with structural breaks and FIGARCH. By relying on a modified version of Inclan and Tiao (1994)'s iterated cumulative sum of squares (ICSS) algorithm, our results can be summarized as follows. First, we provide evidence of parameter instability in five out of twelve GARCH-based conditional volatility processes for energy prices. Second, long memory is effectively present in all the series considered and a FIGARCH model seems to better fit the data, but the degree of volatility persistence diminishes significantly after adjusting for structural breaks. Finally, the out-of-sample analysis shows that forecasting models accommodating for structural break characteristics of the data often outperform the commonly used short-memory linear volatility models. It is however worth noting that the long memory evidence found in the in-sample period is not strongly supported by the out-of-sample forecasting exercise.

An Empirical Model for the Turkish Trade Balance: New Evidence from ARDL Bounds Testing Analyses

In this paper, the determinants of the Turkish trade balance are tried to be analyzed in an empirical modelling approach. For this purpose, the contemporaneous ARDL-based bounds testing has been used to examine the existence of a long run co-integration relationship between the variables of our interest. The estimation results indicate that real exchange rate depreciations improves the trade balance in a strong and significant way, that domestic real income affects the trade balance negatively, and that trade balance is strongly improved due to an increase in foreign real income. No significant effect of crude oil prices can be observed on trade balance. The error correction modeling gives results in line with the long run findings of the co-integration analysis.Trade Balance, ARDL Bounds Testing Approach, Turkish Economy

An empirical model for the Turkish trade balance: new evidence from ARDL bounds testing analyses

In this paper, the determinants of the Turkish trade balance are tried to be analyzed in an empirical modelling approach. For this purpose, the contemporaneous ARDL-based bounds testing has been used to examine the existence of a long run co-integration relationship between the variables of our interest. The estimation results indicate that real exchange rate depreciations improves the trade balance in a strong and significant way, that domestic real income affects the trade balance negatively, and that trade balance is strongly improved due to an increase in foreign real income. No significant effect of crude oil prices can be observed on trade balance. The error correction modeling gives results in line with the long run findings of the co-integration analysis.Trade Balance; ARDL Bounds Testing Approach; Turkish Economy;

Oil prices, exchange rates and emerging stock markets

While two different streams of literature exist investigating 1) the relationship between oil prices and emerging market stock prices and 2) the relationship between oil prices and exchange rates, relatively little is known about the dynamic relationship between oil prices, exchange rates and emerging market stock prices. This paper proposes and estimates a structural vector autoregression model to investigate the dynamic relationship between these variables. Impulse responses are calculated in two ways (standard and projection based methods). The model supports stylized facts. In particular, positive shocks to oil prices tend to depress emerging market stock prices and US dollar exchange rates in the short run. The model also captures stylized facts regarding movements in oil prices. A positive oil production shock lowers oil prices while a positive shock to real economic activity increases oil prices. There is also evidence that increases in emerging market stock prices increases oil prices.Emerging market stock prices; oil prices; exchange rates

Speculation and Volatility Spillover in the Crude Oil and Agricultural Commodity Markets: A Bayesian Analysis

This paper assesses the roles of various factors influencing the volatility of crude oil prices and the possible linkage between this volatility and agricultural commodity markets. Stochastic volatility models are applied to weekly crude oil, corn and wheat futures prices from November 1998 to January 2009. Model parameters are estimated using Bayesian Markov chain Monte Carlo methods. The main results are as follows. Speculation, scalping, and petroleum inventories are found to be important in explaining oil price variation. Several properties of crude oil price dynamics are established including mean-reversion, a negative correlation between price and volatility, volatility clustering, and infrequent compound Poisson jumps. We find evidence of volatility spillover among crude oil, corn and wheat markets after the fall of 2006. This could be largely explained by tightened interdependence between these markets induced by ethanol production.Gibbs sampling, Merton jump, leverage effect, stochastic volatility, Demand and Price Analysis, Financial Economics, Resource /Energy Economics and Policy, G13, Q4,

Time-varying Predictability in Crude Oil Markets: The Case of GCC Countries

This paper uses a time-varying parameter model with generalized autoregressive conditional heteros-cedasticity effects to examine the dynamic behavior of crude-oil prices for the period 1997-2008. Using data from four countries of the Gulf Cooperation Council, we find evidence of short-term pre-dictability in oil-price changes over time, except for several short sub-periods. However, the hypothe-sis of convergence towards weak-form informational efficiency is rejected for all markets. In addition, we explore the possibility of structural breaks in the time-paths of the estimated predictability indices and detect only one breakpoint, for the oil markets in Qatar and United Arab Emirates. Our empirical results therefore call for new empirical research to further gauge the predictability characteristics and the determinants of oil-price changes.