## Abstract The authors reexamine the volatility of agricultural commodity futures for evidence of fractional integration, providing new empirical results and extending the extant literature in important dimensions. First, they utilize two relatively new estimators based on wavelets, which are gene
MODELLING LONG MEMORY VOLATILITY IN AGRICULTURAL COMMODITY FUTURES RETURNS
β Scribed by CHANG, CHIA-LIN; McALEER, MICHAEL; TANSUCHAT, ROENGCHAI
- Book ID
- 120422344
- Publisher
- World Scientific
- Year
- 2012
- Tongue
- English
- Weight
- 832 KB
- Volume
- 07
- Category
- Article
- ISSN
- 2010-4952
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π SIMILAR VOLUMES
## Abstract The volatility of daily futures returns for six important commodities are found to be well described as FIGARCH, fractionally integrated processes, whereas the mean returns exhibit very small departures from the martingale difference property. Several years of high frequency intraday co
## Abstract The stochastic behavior of agricultural commodity prices is investigated using observations of the term structures of futures prices over time. The continuous time dynamics of (logβ) commodity prices are modeled as a sum of a deterministic seasonal component, a nonβstationary stateβvari