Mitigating the heat stress via a derivative policy is a vital financial option for agricultural producers and other business sectors to strategically adapt to the climate change scenario. This study has provided an ap...Mitigating the heat stress via a derivative policy is a vital financial option for agricultural producers and other business sectors to strategically adapt to the climate change scenario. This study has provided an approach to identifying heat stress events and pricing the heat stress weather derivative due to persistent days of high surface air temperature (SAT). Cooling degree days (CDD) are used as the weather index for trade. In this study, a call-option model was used as an example for calculating the price of the index. Two heat stress indices were developed to describe the severity and physical impact of heat waves. The daily Global Historical Climatology Network (GHCN-D) SAT data from 1901 to 2007 from the southern California, USA, were used. A major California heat wave that occurred 20-25 October 1965 was studied. The derivative price was calculated based on the call-option model for both long-term station data and the interpolated grid point data at a regular 0.1~ x0.1~ latitude-longitude grid. The resulting comparison indicates that (a) the interpolated data can be used as reliable proxy to price the CDD and (b) a normal distribution model cannot always be used to reliably calculate the CDD price. In conclusion, the data, models, and procedures described in this study have potential application in hedging agricultural and other risks.展开更多
Stock price volatility is considered the main matter of concern within the investment grounds.However,the diffusivity of these prices should as well be considered.As such,proper modelling should be done for investors ...Stock price volatility is considered the main matter of concern within the investment grounds.However,the diffusivity of these prices should as well be considered.As such,proper modelling should be done for investors to stay healthy-informed.This paper suggest to model stock price diffusions using the heat equation from physics.We hypothetically state that,our model captures and model the diffusion bubbles of stock prices with a better precision of reality.We compared our model with the standard geometric Brownian motion model which is the wide commonly used stochastic differential equation in asset valuation.Interestingly,the models proved to agree as evidenced by a bijective relation between the volatility coefficients of the Brownian motion model and the diffusion coefficients of our heat diffusion model as well as the corresponding drift components.Consequently,a short proof for the martingale of our model is done which happen to hold.展开更多
In this study, a coal pricing model for Turkey is developed employing Granger causality and cointegration analysis by using monthly data between January 2003 and April 2009. Empirical results based on Granger causalit...In this study, a coal pricing model for Turkey is developed employing Granger causality and cointegration analysis by using monthly data between January 2003 and April 2009. Empirical results based on Granger causality tests indicate that foreign coal futures prices and domestic consumer price index for energy sector can be used as the leading indica- tors for domestic coal prices for Turkey. An error correction model for Turkish coal pricing is specified by taking into account the results of Granger causality. The forecast of the coal prices based on error correction model is giving very successful results. It is observed that the coal prices and forecasted coal prices values are almost moving together or very close to each other.展开更多
Rare earth price rose again as sales heating up since November. Suffered the oversold and experienced the recent positive and constant multiple stimulus, rare earth industry is welcoming its periodic 'turning poin...Rare earth price rose again as sales heating up since November. Suffered the oversold and experienced the recent positive and constant multiple stimulus, rare earth industry is welcoming its periodic 'turning point'. It is understood that some manufacturers began to overhaul in November and the upstream production will be reduced correspondingly. However, demands from magnet and other downstream industries are relatively stable. Driven by restricting output and national reserve, profitability of rare earth industry is expected to improve. Securities' research reports show that national reserve posed a significant support to rare earth prices in recent years.展开更多
因具有经济环保、多能转换等特点,今后热电联产(combined heat and power,CHP)系统将进入规模化应用阶段,优化CHP系统规模与选址有助于解决电网故障时关键负荷保电难题,提升电网运行弹性。为此,在构建考虑动态能效的CHP系统和电-气耦合...因具有经济环保、多能转换等特点,今后热电联产(combined heat and power,CHP)系统将进入规模化应用阶段,优化CHP系统规模与选址有助于解决电网故障时关键负荷保电难题,提升电网运行弹性。为此,在构建考虑动态能效的CHP系统和电-气耦合能源系统网络模型基础上,提出了以经济性最优为目标的电-气综合能源系统关键负荷供应优化方法。以IEEE 14节点系统为例提出CHP系统最佳配置方案,验证内外部故障下所提CHP系统配置方案的有效性和可行性。最后,对CHP系统电效率、能源价格等因素对成本的影响进行敏感度分析。展开更多
基金supportedin part by the US National Science Foundation (GrantNos. AGS-1015926 and AGS-1015957)supported in part by a U.S. National Oceanographic and Atmospheric Administration (NOAAGrantNo. EL133E09SE4048)
文摘Mitigating the heat stress via a derivative policy is a vital financial option for agricultural producers and other business sectors to strategically adapt to the climate change scenario. This study has provided an approach to identifying heat stress events and pricing the heat stress weather derivative due to persistent days of high surface air temperature (SAT). Cooling degree days (CDD) are used as the weather index for trade. In this study, a call-option model was used as an example for calculating the price of the index. Two heat stress indices were developed to describe the severity and physical impact of heat waves. The daily Global Historical Climatology Network (GHCN-D) SAT data from 1901 to 2007 from the southern California, USA, were used. A major California heat wave that occurred 20-25 October 1965 was studied. The derivative price was calculated based on the call-option model for both long-term station data and the interpolated grid point data at a regular 0.1~ x0.1~ latitude-longitude grid. The resulting comparison indicates that (a) the interpolated data can be used as reliable proxy to price the CDD and (b) a normal distribution model cannot always be used to reliably calculate the CDD price. In conclusion, the data, models, and procedures described in this study have potential application in hedging agricultural and other risks.
文摘Stock price volatility is considered the main matter of concern within the investment grounds.However,the diffusivity of these prices should as well be considered.As such,proper modelling should be done for investors to stay healthy-informed.This paper suggest to model stock price diffusions using the heat equation from physics.We hypothetically state that,our model captures and model the diffusion bubbles of stock prices with a better precision of reality.We compared our model with the standard geometric Brownian motion model which is the wide commonly used stochastic differential equation in asset valuation.Interestingly,the models proved to agree as evidenced by a bijective relation between the volatility coefficients of the Brownian motion model and the diffusion coefficients of our heat diffusion model as well as the corresponding drift components.Consequently,a short proof for the martingale of our model is done which happen to hold.
文摘In this study, a coal pricing model for Turkey is developed employing Granger causality and cointegration analysis by using monthly data between January 2003 and April 2009. Empirical results based on Granger causality tests indicate that foreign coal futures prices and domestic consumer price index for energy sector can be used as the leading indica- tors for domestic coal prices for Turkey. An error correction model for Turkish coal pricing is specified by taking into account the results of Granger causality. The forecast of the coal prices based on error correction model is giving very successful results. It is observed that the coal prices and forecasted coal prices values are almost moving together or very close to each other.
文摘Rare earth price rose again as sales heating up since November. Suffered the oversold and experienced the recent positive and constant multiple stimulus, rare earth industry is welcoming its periodic 'turning point'. It is understood that some manufacturers began to overhaul in November and the upstream production will be reduced correspondingly. However, demands from magnet and other downstream industries are relatively stable. Driven by restricting output and national reserve, profitability of rare earth industry is expected to improve. Securities' research reports show that national reserve posed a significant support to rare earth prices in recent years.
文摘因具有经济环保、多能转换等特点,今后热电联产(combined heat and power,CHP)系统将进入规模化应用阶段,优化CHP系统规模与选址有助于解决电网故障时关键负荷保电难题,提升电网运行弹性。为此,在构建考虑动态能效的CHP系统和电-气耦合能源系统网络模型基础上,提出了以经济性最优为目标的电-气综合能源系统关键负荷供应优化方法。以IEEE 14节点系统为例提出CHP系统最佳配置方案,验证内外部故障下所提CHP系统配置方案的有效性和可行性。最后,对CHP系统电效率、能源价格等因素对成本的影响进行敏感度分析。