Results 11 to 20 of about 1,135,713 (311)

Forecasting volatility in commodity markets with long-memory models [PDF]

open access: yes, 2022
Commodities are the most volatile markets, and forecasting their volatility is an issue of paramount importance. We examine the dynamics of commodity markets volatility by employing three typical long-memory models: fractional integrated generalized ...
Nikitopoulos, CS   +3 more
core   +1 more source

Jumps in commodity markets [PDF]

open access: yesJournal of Commodity Markets, 2017
This paper investigates price jumps in commodity markets. We find that jumps are rare and extreme events but occur less frequently than in stock markets. Nonetheless, jump correlations across commodities can be high depending on the commodity sectors.
Nguyen, Duc Binh Benno   +1 more
openaire   +1 more source

Commodity Markets [PDF]

open access: yes, 2023
Considerable studies have examined the relationship between commodity markets and stock markets. This paper studies the cyclical relationship between commodity markets and stock markets with implications for investing based on index relationships.
Maria Bampasidou   +7 more
core   +1 more source

Smile Modelling in Commodity Markets [PDF]

open access: yesSSRN Electronic Journal, 2018
We present a stochastic local volatility model for derivative contracts on commodity futures able to describe forward curve and smile dynamics with a fast calibration to liquid market quotes. A parsimonious parametrization is introduced to deal with the limited number of options quoted in the market.
EMANUELE NASTASI   +2 more
openaire   +2 more sources

Model Uncertainty in Commodity Markets [PDF]

open access: yesSSRN Electronic Journal, 2015
Summary: Agents who acknowledge that their models are incorrectly specified are said to be ambiguity averse, and this affects the prices they are willing to trade at. Models for prices of commodities attempt to capture three stylized features: seasonal trend, moderate deviations (a diffusive factor), and large deviations (a jump factor) both of which ...
Álvaro Cartea   +2 more
openaire   +3 more sources

Financialization in Commodity Markets [PDF]

open access: yes, 2017
The financialization view is that increased trading in commodity futures markets is associated with increases in the growth rate and volatility of commodity spot prices. This view gained credence because in the 2000s trading volume increased sharply and many commodity prices rose and became more volatile.
Chari, Varadarajan V.   +1 more
openaire   +2 more sources

Commodity indexes and the stock markets of the GCC countries

open access: yesArab Economic and Business Journal, 2018
Much research is devoted to the study of the effect of oil on GCC markets. The link is evident, although waning. Little is known about the effect of other commodities, maybe because intuitively they are thought not to impact significantly these markets ...
Samih Antoine Azar   +1 more
doaj   +1 more source

Dynamic Spillovers Between International Crude Oil Market and China's Commodity Sectors: Evidence From Time-Frequency Perspective of Stochastic Volatility

open access: yesFrontiers in Energy Research, 2020
We study the time-frequency dynamics of stochastic volatility spillovers between international crude oil markets and China's commodity sectors in the spectral representation framework of generalized forecast error variance decomposition (GFEVD).
Zhenghui Li, Yaya Su
doaj   +1 more source

Risk Spillo Risk Spillover from World Ener orld Energy Mark gy Markets to Pakistan Agricultur akistan Agricultural Commodity Markets. An application of Dependence switching Copula model

open access: yesBusiness Review, 2023
Using a time-dependent copulas model, this study attempts to investigate the risk spillover from global energy markets to Pakistan’s agricultural commodities market.
Hira Saeed   +2 more
doaj   +1 more source

Anomalies in Commodity Futures Markets [PDF]

open access: yesThe Quarterly Journal of Finance, 2021
In recent years, commodity markets have become increasingly popular among financial investors. While previous studies document a factor structure, not much is known about how prominent anomalies are priced in commodity futures markets. We examine a large set of such anomaly variables.
Fabian Hollstein   +2 more
openaire   +1 more source

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