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1.
Carbon markets trade the spot European Union Allowance (EUA), with one EUA providing the right to emit one tone of carbon dioxide (CO2). We examine the spot EUA returns in BlueNext that exhibit jumps and a volatility clustering feature. We propose a regime-switching jump diffusion model (RSJM) with a hidden Markov chain to capture not only a volatility clustering feature, but also the dynamics of the spot EUA returns that are influenced by change in the CO2 emission economic conditions. In addition, the switching jump intensities of the RSJM are shown to be affected by change in the carbon-market macroeconomic environment. We further derive the theoretical futures-option prices with a constant convenience yield under the RSJM via the generalized Esscher transform where regime-switching risk is priced with a risk premium. The empirical study shows that the derived futures-option pricing model under the RSJM with regime-switching risk is a more complete model than a jump diffusion model for pricing CO2 options. 相似文献
2.
以沪深300现货指数和当月沪深300股指期货连续合约的1分钟高频数据为样本,将数据分为上涨与下跌两个阶段,采用Granger因果检验、VAR模型、脉冲响应函数、方差分解和VEC模型对期货指数与现货指数的引导关系进行实证分析。研究发现在下跌阶段期货指数领先于现货指数,对现货指数有很强的引导作用,而期货指数的变动更多来源于自身滞后期的波动。在上涨阶段期货指数与现货指数互为格兰杰因果关系,两个指数之间存在很强的协同性,相互之间都具有很强的引导作用。 相似文献