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, Jarrow, and Morton (1992) framework for commodity futures prices that incorporates stochastic volatility and stochastic … interest rate and allows a correlation structure between the futures price process, the futures volatility process and the … interest rate process. The functional form of the futures price volatility is specified so that the model admits finite …
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, seasonalities, and stochastic volatility. In particular, we investigate the pricing procedures for electricity swaps and options in …
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Risk neutral densities (RND) can be used to forecast the price of the underlying basis for the option, or it may be used to price other derivates based on the same sequence. The method adopted in this paper to calculate the RND is to firts estimate daily the diffusion process of the underlying...
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vorherzusagen, oder aber nur um den Wert anderer Derivative, die sich auf den gleichen Basiswert beziehen, zu berechnen. Die in …
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We consider a stochastic volatility model of the mean-reverting type to describe the evolution of a firm’s values … default probability. Our simulation results indicate that the stochastic volatility model tends to predict higher default … probabilities than the corresponding Merton model if a firm’s credit quality is not too low. Otherwise the stochastic volatility …
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reliant on bank credit. The credit channel theory states that, for small enterprises, a stricter monetary policy stance …
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